See Full Document Text
STATE FINANCES
A STUDY OF BUDGETS OF
2015-16
RESERVE BANK OF INDIA
April 2016In India β ` 430 (Over the counter)
β ` 480 (Inclusive of Postal Charges)
Abroad β US $ 22 (Inclusive of Air Mail Courier Charges)
Β© Reserve Bank of India 2016
All rights reserved. Reproduction is permitted provided an acknowledgement of the source is made.
Published by Sunil Kumar for the Reserve Bank of India, Mumbai 400 001 and designed and printed
by him at Jayant Printery, 352/54, Girgaum Road, Murlidhar Compound, Near Thakurdwar Post Office,
Mumbai - 400 002.FOREWORD
The Reserve Bank of India brings out a report as an annual publication entitled State Finances: A
Study of Budgets, which analyses the fi scal position of state governments on the basis of primary
disaggregated state-wise data. From 2005-06 onwards, the report has been structured around a
special theme of topical relevance. This reportβs theme is βQuality of Sub-national Public Expenditure.β
The highlights of the report are:
β’ The quality of expenditure is key to sub-national level fi scal consolidation to reap effi ciency and
welfare gains while smoothing the effects of fi scal adjustment.
β’ Empirical analysis indicates that expenditure on social and physical infrastructure can have growth
augmenting effects.
β’ The quality of expenditure of most Indian states has been improving following the enactment of
fi scal responsibility legislations.
β’ States need to prioritise expenditure on physical and social infrastructure and economise on non-
essential heads.
β’ From a medium term perspective, enduring improvements in the quality of statesβ fi nances hinges
around the revival of state level public enterprises (SLPEs), improving the viability of Discoms and
rationalisation of centrally sponsored schemes.
This report has been prepared by the Fiscal Analysis Division (FAD) of the Department of Economic and
Policy Research (DEPR). Support was received from the regional offi ces of DEPR, other departments
of the Reserve Bank (Department of Government and Bank Accounts and Internal Debt Management
Department), fi nance departments of State Governments and Union Ter ritories, the Ministry of Finance,
Government of India and the Offi ce of the Comptroller and Auditor General (CAG) of India. This report
is also available on the website (www.rbi.org.in). Feedback/comments are solicited to help improve
the analytical or informational content of the report. These may be sent to the Director, Fiscal Analysis
Division, Department of Economic and Policy Research, 6thFloor, Amar Building, Reserve Bank of
India, Shahid Bhagat Singh Road, Mumbai 400 001 or through email at deprfad@rbi.org.in.
Michael Debabrata Patra
Executive Director
March 31, 2016CONTENTS
Page No.
Foreword
List of Abbreviations
Chapter I: Overview 1
Chapter II: Quality of Sub-national Public Expenditure
1. Introduction .................................................................................................................. 3
2. Cross-Country Experience .......................................................................................... 4
3. Government Expenditure β Empirical Analysis ........................................................... 5
4. Conclusion .................................................................................................................. 14
Chapter III: Fiscal Position of State Governments
1. Introduction ............................................................................................................... 16
2. Accounts: 2013-14 ................................................................................................... 16
3. Revised Estimates: 2014-15 ..................................................................................... 17
4. Budget Estimates: 2015-16 ...................................................................................... 20
5. Outstanding Liabilities of State Governments .........................................................
23
6. Conclusion ................................................................................................................ 27
Chapter IV: Issues and Perspectives
1. Performance of State Level Public Enterprises (SLPEs) .......................................... 28
2. State Power Utilities .................................................................................................. 29
3. Centrally Sponsored Schemes ................................................................................. 33
4. State Finance Commissions ..................................................................................... 34
5. GST Implementation ................................................................................................. 38
6. Conclusion ................................................................................................................ 40
Annex 1: ............................................................................................................................ 41
Annex 2: ............................................................................................................................ 42
References .......................................................................................................................... 43
iPage No.
Explanatory Note on Data Sources and Methodology .................................................... 47
LIST OF BOXES
IV.1 UDAY Scheme - Salient Features ............................................................................ 32
IV.2 Report on the Revenue Neutral Rate and Structure of
Rates for the Goods and Services Tax - Major Recommendations ....................... 39
LIST OF TABLES
II.1 Expenditure on Select Indicators as percentage of aggregate
expenditure (2013-14) ........................................................................................... 9
II.2 Scores of select expenditure items of NSC States ................................................ 10
II.3 Free Disposable Hull (FDH) effi ciency scores, by groups of states ....................... 12
II.4 Total Expenditure ................................................................................................... 13
II.5 Revenue and Capital Outlay .................................................................................. 13
II.6 Developmental and Non-developmental Expenditure ............................................ 14
III.1 Major Defi cit Indicators of State Governments ...................................................... 16
III.2 Fiscal Imbalances in Non-Special and Special Category States ........................... 17
III.3 Aggregate Receipts of State Governments ........................................................... 17
III.4 Variation in Major Items ......................................................................................... 18
III.5 Expenditure Pattern of State Governments ............................................................ 19
III.6 Defi cit Indicators of State Governments ................................................................ 21
III.7 Decomposition and Financing Pattern of Gross Fiscal Defi cit .............................. 22
III.8 Composition of Expenditure on Social Services
(Revenue and Capital Accounts) ........................................................................... 23
III.9 Outstanding Liabilities of State Governments ....................................................... 23
III.10 State-wise Debt-GSDP Position ............................................................................ 24
III.11 Composition of Outstanding Liabilities of State Governments .............................. 25
III.12 Maturity Profi le of Outstanding State Government Securities ............................... 26
IV.1 Financial Parameters of Power Utilities (end-March) ............................................. 30
IV.2 State Finance Commission Reports - Status ........................................................ 37
iiPage No.
LIST OF CHARTS
II.1 Trends in Expenditure ............................................................................................ 6
II.2 Trends in Committed Expenditure ....................................................................... 7
II.3 Expenditure on Social and Physical Infrastructure in 2013-14 ............................ 8
II.4 Select Expenditure Categories across NSC States (2013-14) - Relative
Performance ......................................................................................................... 8
III.1 Trends in Central Transfer ...................................................................................... 22
III.2 Social Sector Expenditure .................................................................................... 23
III.3 Utilisation of WMA and Overdraft by States........................................................... 26
LIST OF APPENDIX TABLES
1 Major Defi cit Indicators of State Governments ...................................................... 51
2 Devolution and Transfer of Resources from the Centre ......................................... 52
3 Development and Non-Development Expenditure ................................................. 54
4 Development Expenditure - Major Heads .............................................................. 55
5 Non-Development Expenditure - Major Heads ...................................................... 56
6 Development and Non-Development Expenditure -
Plan and Non-Plan Components ........................................................................... 57
7 Composition of Social Sector Expenditure ............................................................ 58
8 Decomposition of Gross Fiscal Defi cit .................................................................. 60
9 Financing of Gross Fiscal Defi cit .......................................................................... 61
10 Financing of Gross Fiscal Defi cit - As Per cent to Total ........................................ 62
11 Composition of Outstanding Liabilities of State Governments ............................. 63
12 Composition of Outstanding Liabilities of State Governments -
As Proportion to Total ........................................................................................... 64
13 State Government Market Borrowings .................................................................. 65
LIST OF STATEMENTS
iiiPage No.
1 Major Fiscal Indicators .......................................................................................... 69
2 Revenue Defi cit/Surplus ....................................................................................... 71
3 Gross Fiscal Defi cit/Surplus ................................................................................. 72
4 Decomposition of Gross Fiscal Defi cit .................................................................. 73
5 Financing of Gross Fiscal Defi cit - 2013-14 (Accounts) ....................................... 74
6 Financing of Gross Fiscal Defi cit- As per cent to Total - 2013-14 (Accounts) ....... 75
7 Financing of Gross Fiscal Defi cit- 2014-15 (RE) .................................................. 76
8 Financing of Gross Fiscal Defi cit- As per cent to Total - 2014-15 (RE) ................ 77
9 Financing of Gross Fiscal Defi cit - 2015-16 (BE) ................................................. 78
10 Financing of Gross Fiscal Defi cit- As per cent to Total -2015-16 (BE) .................. 79
11 Development Expenditure .................................................................................... 80
12 Non-Development Expenditure ............................................................................. 81
13 Interest Payments ................................................................................................. 82
14 Tax Revenue ......................................................................................................... 83
15 Non-Tax Revenue ................................................................................................. 84
16 Loans from the Centre .......................................................................................... 85
17 Devolution and Transfer of Resources from the Centre ........................................ 86
18 Composition of Outstanding Liabilities ................................................................. 87
19 Total Outstanding Liabilities of State Governments .............................................. 90
20 Total Outstanding Liabilities - As percentage of GSDP ........................................ 91
21 Market Borrowings of State Governments ............................................................ 92
22 State Government Market Loans .......................................................................... 93
23 Maturity Profi le of Outstanding State Government Securities .............................. 119
24 Maturity Profi le of Outstanding State Government Securities -
As Percentage to Total .......................................................................................... 120
25 Investment Outstanding in Treasury Bills .............................................................. 121
26 Expenditure on Education - As Ratio to Aggregate Expenditure .......................... 122
ivPage No.
27 Expenditure on Medical and Public Health and Family Welfare -
As Ratio to Aggregate Expenditure ...................................................................... 123
28 Outstanding Guarantees of State Governments .................................................. 124
29 Expenditure on Wages and Salaries .................................................................... 125
30 Expenditure on Operations and Maintenance ...................................................... 126
31 Social Sector Expenditure .................................................................................... 127
32 Social Sector Expenditure to Total Expenditure .................................................... 128
33 Revenue Receipts of State Governments ............................................................ 129
34 Revenue Expenditure of the State Governments ................................................. 130
35 Development Expenditure: Select Indicators ........................................................ 131
APPENDICES
I. Revenue Receipts of States and Union Territories with Legislature ...................... 135
II. Revenue Expenditure of States and Union Territories with Legislature ................. 169
III. Capital Receipts of States and Union Territories with Legislature ........................ 233
IV. Capital Expenditure of States and Union Territories with Legislature .................... 250
NOTES TO APPENDICES ................................................................................................... 346
vList of Abbreviations
ACS Average Cost of Supply FIs Financial Institutions
APDRP Accelerated Power Development and FPIs Foreign Portfolio Investments
Reforms Programme
FRBM Fiscal Responsibility and Budget
ARR Average Revenue Realised Management
AT&C Aggregate Technical and FRL Fiscal Responsibility Legislation
Commercial
FRP Financial Restructuring Plan
ATB Auction Treasury Bills
GCC Gulf Cooperation Council
BE Budget Estimates
GDP Gross Domestic Product
BPL Below Poverty Line
GFD Gross Fiscal Defi cit
CGST Central Goods and Services Tax
GSDP Gross State Domestic Product
CPC V Fifth Central Pay Commission
GST Goods and Services Tax
CPC VI Sixth Central Pay Commission
GSTN Goods and Services Tax Network
CPC VII Seventh Central Pay Commission
HDI Human Development Index
CPSUs Central Public Sector Undertakings
ICRA Investment Information and Credit
CSS Centrally Sponsored Schemes Rating Agency
DCRF Debt Consolidation and Relief IGST Integrated Goods and Services Tax
Facility
IPDS Integrated Power Development
DDUGJY Deendayal Upadhyaya Gram Jyoti Scheme
Yojana
IP-RR Interest Payments to Revenue
DEA Data Envelopment Analysis Receipts
Discoms Distribution Companies ITB Intermediate Treasury Bills
DSS Debt Swap Scheme LBs Local Bodies
EC Empowered Committee LIC Life Insurance Corporation of India
ESOP Employee Stock Ownership Plan NABARD National Bank for Agriculture and
Rural Development
FC XII Twelfth Finance Commission
NCDC National Cooperative Development
FC XIII Thirteenth Finance Commission
Corporation
FC XIV Fourteenth Finance Commission
NITI Ayog National Institution for Transforming
FDH Free Disposable Hull India
viNPA Non Performing Asset RNR Revenue Neutral Rate
NSC Non-Special Category states RPO Renewable Purchase Obligation
NSSF National Small Savings Fund SC Special Category states
NTPC National Thermal Power Corporation SDLs State Development Loans
OD Overdraft SEBs State Electricity Boards
OROP One Rank One Pension SFA Stochastic Frontier Analysis
SFC State Finance Commission
PD Primary Defi cit
SGST State Goods and Services Tax
PPAs Power Purchase Agreements
SLPEs State Level Public Enterprises
PRD Primary Revenue Defi cit
SSE Social Sector Expenditure
PRIs Panchayati Raj Institutions
UDAY Ujwal Discoms Assurance Yojana
PSDF Power Sector Development Fund
ULBs Urban Local Bodies
RD Revenue Defi cit
UTs Union Territories
RE Revised Estimates
VAT Value Added Tax
RIAB Restructuring and Internal Audit
Board WMA Ways and Means Advances
viiI
Overview
1.1 At the consolidated level, states 1.2 Chapter II of the report focusses on
budgeted for a turnaround in fi scal performance evaluating statesβ efforts to reap welfare
during 2015-16 from the deterioration that set gains from improvements in the composition
in during the earlier two years. The projected
of expenditure drawing on the evolution of
improvement in key fi scal indicators was
ideas in the literature and the lessons from
premised on cutbacks in revenue expenditure
the country experience. It observes that
with a marginal decline in capital outlay. This
expenditure quality at the sub-national level
pragmatic approach stems from the hard
has improved under the impetus provided by
constraints faced in augmenting expenditure
implementation of fi scal responsibility and
without eroding the modest gains in fi scal
budget management (FRBM) rules, but there
consolidation. Illustratively, the increase
remains considerable scope for progress. In
in statesβ share of tax devolution from 32
fact as the chapter underlines, this acquires
per cent to 42 per cent of the divisible pool
urgency in the context of the imminent burden
on the recommendation by the fourteenth
of salaries and pension liabilities of states
fi nance commission (FC-XIV) works out to a
associated with the demonstration effect of
decline in consolidated state revenues from
central transfers (share in central taxes plus the seventh central pay commission (CPC-
grants in aid) by 0.3 per cent of GDP in 2015- VII).
16, due to discontinuation of many centrally
1.3 Chapter III undertakes an in-depth
sponsored schemes (CSS) announced in the
analysis of the fi scal position of states. It draws
Union Budget, 2015-16. In this milieu, the
attentions to the rise in revenue and non-
ability of states to maximise growth enhancing
development expenditure and the consequent
properties and effi ciency gains embedded in
deterioration in the quality of statesβ spending.
targeted compositional shifts in expenditure
Implications for state level indebtedness from
patterns holds the key to optimising the
this sub-optimal prioritisation of expenditure
contribution of sub-national fi scal policy to
are also addressed in this chapter.
societal welfare. Accordingly, this yearβs report
adopts the quality of expenditure as its theme. 1.4 Chapter IV explores some issues
Empirical fi ndings across a swathe of countries, which are likely to have a bearing on the
advanced and emerging, confi rm that the quality of statesβ expenditure in the medium-
composition of government expenditure can term; reform of state-level public enterprises,
have perceptible growth implications. the goods and services tax and the Ujwal
1State Finances : A Study of Budgets of 2015-16
Discoms Assurance Yojana (UDAY) scheme. 1.5 Data on various budgetary components
It also discusses issues relating to the State and fi scal indicators of 29 states are presented
Finance Commissions (SFCs). in appendices and statements.
2Quality of Sub-national
II
Public Expenditure
The quality of expenditure is at centre-stage of the dynamics of subnational level fiscal consolidation in India.
Empirical evaluation indicates that expenditure on public infrastructure, human capital, science and technology
can be growth and welfare enhancing by improving capital and labour productivity. The quality of expenditure of
most Indian states has modestly improved following the enactment of FRBM. States need to prioritize expenditure
on physical and social infrastructure and economise on non-essential heads.
1. Introduction fi scal consolidation through quantity adjustments
should not compromise on expenditure quality.
2.1 Confronted with unsustainable levels of
fi scal defi cits and/or public debt and their adverse 2.2 Fiscal consolidation at the sub-national
macroeconomic implications, governments level in India has been undertaken under a rule-
across countries have embarked upon corrective based framework through the enactment of fi scal
strategies to adjust key fi scal parameters to responsibility and budget management (FRBM)
levels that are sustainable in the context of legislations, although there are subtle variations
the state of the economy. These efforts are in terms of design and features across states.
typically driven by rules that limit defi cits, debt, Resource constraints have forced cutbacks in
expenditure or a combination thereof. Fiscal outlays on social and physical infrastructure in the
adjustment strategies have been attempted in wake of infl exibilities in committed expenditures
the form of revenue enhancement or expenditure and subsidies, with near-term as well as more
compression or usually, a combination of both. drawn out implications for societal welfare.
The presence of nominal rigidities sets up Consequently, careful assessment of the growth
and effi ciency enhancing effects of alternative
trade-offs β a quantity-centric fi scal adjustment
mixes of government expenditure assumes
invariably involves compromises in terms of
critical importance if the best effects of fi scal
qualitative aspirations of fi scal authorities. In view
rectitude have to be seized. In particular, it is
of the committed nature of certain categories
imperative that states do not sacrifi ce growth-
of expenditure, the imperative of achieving
inducing expenditures even as they put in place
quantitative targets forces the curtailment of
mechanisms for enhancing expenditure effi ciency
expenditures that are regarded as βproductiveβ
within the overall framework of fi scal consolidation.
since they provide positive externalities in terms
of enhancing growth and effi ciency. In recent 2.3 Despite its importance from a βpublic
years, however, prolonged periods of sluggish goodβ perspective, the quality of expenditure at
growth have brought these issues to the centre- the sub-national level has received less attention
stage of the still unsettled debate on the optimal than it deserves. Analysis of the relationship
dynamics of fi scal consolidation. In this context, between public expenditure and economic growth/
3State Finances : A Study of Budgets of 2015-16
development has engaged economists since the the view that specifi c categories of government
late 19th century1. Diamond (1989) found empirical expenditure such as on public infrastructure,
evidence that capital spending, particularly on human capital, science and technology can be
health, housing and welfare has positive effect growth and welfare enhancing by improving capital
on growth. Endogenous growth theory turned and labour productivity (Tanzi and Zee, 1997).
attention to the macroeconomic effects of the Moreover, public investment in social and physical
quality of government spending, with investment infrastructure is observed to play a complementary
in human capital, innovation, and knowledge role in crowding in private investment, particularly
being signifi cant contributors to economic growth in the case of developing economies (Erden and
(Romer, 1986; Lucas, 1988; Rebelo, 1991). It is Holcombe, 2005). It has also been pointed out
argued that in a knowledge-based economy, that public expenditure needs to encompass both
sustained investment in human capital would result growth and equity considerations (Pattnaik et al.,
in positive externalities which would perpetuate 2005; Daniel et al., 2006).
the growth process for a protracted period of time
2.5 Country studies, both time series and
leading to overall economic development (Barro
panel, have reported growth enhancing effects of
and Salai-Martin, 1992). Against this backdrop,
public expenditure on physical infrastructure such
this chapter analyses state fi nances with the
as transport, communications and defense (Baum
specifi c objective of shedding light on its theme
and Lin, 1993; Devarajan, 1993; Ramirez, 2004).
βQuality of Expenditureβ. Section II draws out the
Similar results have been reported for South
lessons of the country experience. The quality of
Africa, Chile (Albala-Bertrand and Mamatzakis,
expenditure across Indian states and its impact
2001) and Kenya (MβAmanja and Morrissey, 2005).
on economic growth and equity are empirically
2.6 Fiscal multipliers are found to be sizable
explored through descriptive statistics and
for productive capital spending in the countries
technical analysis in Section III. This section also
constituting the Gulf Cooperation Council (GCC),
dwells on the impact of FRBM implementation on
despite important leakages through imports and
expenditure quality at the state level. Section IV
remittances (Espinoza and Senhadji, 2011).
presents concluding observations.
Similarly, an increasing share of capital investment
2. Cross-Country Experience
is found to have boosted per capita growth in thirty
2.4 Empirical evaluation of the impact of three small countries in Asia, Africa and the Pacifi c
different categories of expenditure on growth/ region β the impact being stronger in small states
development has been largely inconclusive in the Asia and Pacifi c region, consistent with their
although a loose consensus has formed around larger development needs (Cabezon et al, 2015).
1 Wagnerβs law predicted that the development of an industrial economy will be accompanied by an increased share of public expenditure
in gross national product because of (i) social activities; (ii) administrative and protective actions; and (iii) welfare functions of the state
(Wagner, 1892). In a general equilibrium framework, public expenditure has been viewed as improving allocative effi ciency through correction
of market failures, redistributing resources equitably and promoting economic growth and stability to produce normative outcomes (Musgrave,
1959). In the Keynesian paradigm, public expenditure promotes growth through an increase in aggregate demand in an economy operating
at less than full employment. Keynes, however, emphasised βpump primingβ without bringing in composition and quality of expenditure in his
analysis. Furthermore, big increases in spending and government defi cits raise the prospect of future tax increases with attendant impact
on the macroeconomy. Ricardian equivalence would, however, imply that rational and infi nitely lived taxpayers will anticipate higher taxes in
future and save more. Consequently, aggregate demand would not change .i.e., defi cits βwould have no fi rst-order effect on the real interest
rate, volume of private investment, etc.β (Barro, 1979).
4Quality of Sub-national Public Expenditure
On the other hand, Devarajan et al (1996) report the Indian context, a qualitative shift in expenditure
opposite for a sample of 43 developing countries from revenue to capital without altering the level
over the period 1970-90 β while an increase in the of fi scal defi cit is found to lead to higher growth
share of current expenditure had positive effect on albeit with mild infl ation pressures (Misra, 2012).
growth, capital expenditure had a negative impact Moreover, capital outlay is observed to have a
β probably due to misallocation of expenditure. In prolonged multiplier effect which continues up
the Brazilian context, capital expenditure is found to four years, underscoring the need to prioritize
to have a negligible impact on economic growth, capital expenditure (Jain and Kumar, 2013; Bose
and Bhanumurthy, 2013).
possibly indicating that economies of scale are not
being reaped (Busatto and Brunori, 2011). 2.9 Based on the review of literature, it may be
inferred that a shift in the composition of public
2.7 Regarding the growth inducing effects
expenditure towards human and physical capital
of social sector expenditure such as health,
would not only be growth enhancing but also
education and water, positive effects have been
welfare augmenting for the society as a whole,
reported (Nijkamp and Poot, 2004; Ramirez, 2004;
notwithstanding some evidence to the contrary.
Cullison, 1993; Devarajan, 1993). On the contrary,
The channels through which this works are: (i)
health care spending is found to be unfavourable
increase in capital and labour productivity; (ii)
to growth in Switzerland (Singh and Weber, 1997).
crowding in of private investment; (iii) higher
In the Indian context, state-level data for the
fi scal multipliers; and (iv) direct/indirect impact on
period 1990-2002 showed that higher government
poverty and unemployment reduction. Given that
spending on public goods such as health and
the empirical evidence on quality of expenditure
education had a positive impact on per capita
at the sub-national level is quite limited and
GSDP growth and reduced poverty (Hong and
somewhat ambivalent, especially in the Indian
Ahmed, 2009).
context, an attempt has been made to examine
2.8 In the context of fi scal consolidation, the gamut of issues around it at the state level in
expenditure reform can improve the effi ciency the ensuing section.
of spending even without pruning the level of
3. Government Expenditure β Empirical
expenditure by freeing resources to help meet new
Analysis2
needs and improve governance and transparency
3.a The Backdrop
(Gupta et al., 2005). In this regard, reallocation
of total spending in favour of infrastructure 2.10 Limited space for garnering additional
and education has a positive impact on long- revenue notwithstanding, statesβ aggregate
run growth while a defi cit fi nanced increase in expenditure3 (as proportion to GSDP) β both non-
public expenditure has negative effects (Acosta- special category (NSC)4 and special category (SC)5
Ormaechea, 2013; Gemmell et al., 2014). In the β accelerated during 2014-15 (RE) (Chart II.1-A).
2 The analysis in this section is largely based on non-special category states only. While the Fourteenth Finance Commission had recommended
to discontinue the distinction between special category and other states, we continue with the practice in this Chapter given the disparity in
the fi scal parameters of these two category of states.
3 Includes revenue expenditure, capital outlay and loans and advances.
4 There are eighteen NSC states including Andhra Pradesh, Bihar, Chhattisgarh, Goa, Gujarat, Haryana, Jharkhand, Karnataka, Kerala,
Madhya Pradesh, Maharashtra, Odisha, Punjab, Rajasthan, Tamil Nadu, Telangana, Uttar Pradesh and West Bengal. Analysis in this chapter,
however, does not include the newly-formed state of Telangana due to non-availability of data for 2013-14.
5State Finances : A Study of Budgets of 2015-16
In particular, revenue expenditure of NSC states 2.12 In 2012-13, when the Sixth Pay
rose to 15.7 per cent of GSDP, with implications Commission (CPC VI) award was implemented,
for the quality of expenditure (Chart II.I-B). the share of expenditure on pay and allowances
of all employees in revenue expenditure (net of
2.11 Interest payments, administrative services
interest payments and pensions) ranged from 28.9
and pensions, which are in the nature of committed
per cent to 79.1 per cent across states (FC-XIV,
expenditure, account for a dominant portion of
2014). While CPC V had a cumulative impact of 1.0
non-development revenue expenditure of states.
per cent of GSDP for states over a two year period
With a noteworthy decline in interest payments on
(Mohan, 2008), the total impact of CPC VI on state
loans due to the debt swap scheme (DSS) and the
fi nances was about 1.4 per cent of GSDP over a
debt consolidation and relief facility (DCRF), the
two year period (Kumar and Krishna, 2015). CPC
ratio of interest payments to revenue receipts (IP-
VII may have an average impact of 0.9 per cent
RR) has been broadly contained below 15.0 per
of GDP on revenue and fi scal defi cit of combined
cent - the level prescribed by the twelfth fi nance
government fi nances over the duration of FC XIV,
commission (FCXII). Nevertheless, the rising
premised on the assumption of a growth of 15 per
trend in the committed expenditure-GSDP ratio in
cent in other revenue expenditure for 2016-17- the
recent years is a cause for concern (Chart II.2-A).
year of implementation of CPC VII (Bhanumurthy
It is set to rise even further as the implementation
et al., 2015).
of the recommendations of the seventh central
pay commission (CPC-VII) may have a cascading 2.13 Besides salary expenditure, growing
impact on salary and pension burdens across pension liabilities could be another major source of
states. fi scal strain for states in the future. Illustratively, the
5 Eleven special category states are Arunachal Pradesh, Assam, Himachal Pradesh, Jammu and Kashmir, Manipur, Meghalaya, Mizoram,
Nagaland, Sikkim, Tripura and Uttarakhand.
6
<?>Quality of Sub-national Public Expenditure
pension liabilities of states at an aggregate level increased as a proportion to GSDP, even after the
have almost doubled between 1997-98 and 2014- enactment of fi scal responsibility legislation by the
15 RE (Chart II.2-B). With CPC VII recommending states.
one rank one pension for all central government
3.b Some Stylised Evidence 6
employees, demonstration effects on states may
2.16 Given the positive externalities associated
exacerbate fi scal strain.
with expenditure on social and physical
2.14 Aggregate capital expenditure (capital
infrastructure, it is expected that the expenditure
outlay plus loans and advances) of states has
pattern on these heads would converge across
remained almost stagnant over the years as a
states over a period of time. There is, however,
proportion to GSDP. There has been a moderate signifi cant variation in expenditure on social and
increase in expenditure on physical infrastructure physical infrastructure among states in terms of
in housing, roads and bridges between 2009-10 both composition and the level of spending (Chart
and 2015-16. II.3). Expenditure on physical infrastructure shows
greater variability, with energy being the most
2.15 Expenditure on the social sector is
volatile component. By contrast, statesβ spending
associated with large positive externalities. A
on the social sector exhibits stability and is
major portion of social sector expenditure has
dominated by outlays on education.
been in the form of revenue expenditure rather
than capital outlay. While social sector expenditure 2.17 Majority of the NSC states incurred
is usually vulnerable to austerity measures, expenditure on social and physical infrastructure
aggregate social sector expenditure of states has (as proportion to aggregate expenditure) below the
6 Analysis based on 2013-14 accounts data for 17 NSC states (excluding Telengana).
7State Finances : A Study of Budgets of 2015-16
group average; indicative of the presence of sharp
outliers (Chart II.4). Two features are noteworthy:
(a) statesβ spending on medical and public health
has tended to exhibit a central tendency, with a
greater degree of cluster around the average
(NSC states) relative to expenditure on energy7
which is at the other end of the spectrum in terms
of dispersion from the average.
2.18 At a disaggregated level, average social
sector expenditure on education and health8 is
higher among Group βAβ9 states than the remaining
two groups, indicative of the impact of income
levels on the quality of expenditure (Table II.1). In
respect of physical infrastructure, expenditure on
roads and bridges is highest for Group βCβ states,
7 Private investment in energy, especially electricity generation, has increased.
8 Data on health correspond to expenditure on medical and public health.
9 Group βAβ represents the top fi ve states in terms of their real per capita incomes (as in 2013-14) viz., Goa, Maharashtra, Haryana, Gujarat
and Tamil Nadu while Group βBβ comprise the middle income states viz., Kerala, Punjab, Karnataka, Andhra Pradesh and West Bengal and
group βCβ includes Rajasthan, Jharkhand, Chhattisgarh, Madhya Pradesh, Odisha, Uttar Pradesh and Bihar.
8Quality of Sub-national Public Expenditure
pointing to a greater focus on deepening basic expenditure on health and education and the
developmental requirements. For Group βBβ states, human development index (HDI) of NSC states.
however, committed expenditure is, on average, These adjustments would enhance labour
higher than other income groups which somewhat
productivity and enable states to reap the benefi ts
constrains the fi scal space for expenditure on
of the βdemographic dividendβ.
social and physical infrastructure (Table II.1).
3.c Assessing the Quality of Expenditure
2.19 As noted above, states in lower income
brackets need to improve social sector spending, 2.20 In order to assess expenditure quality,
given the correlation of around 0.5 between the methodology of cardinal scores employed in
Table II.1: Expenditure on Select Indicators as percentage of aggregate expenditure (2013-14)
States Social Sector Physical Infrastructure Committed Expenditure
Education Health Roads & Bridges Energy Int. Pay. Pension Admin. Exp.
Group A
Goa 16.4 5.8 4.7 16.9 11.4 7.2 5.8
Maharashtra 21.7 3.8 4.8 4.8 12.0 7.3 7.9
Haryana 16.2 3.5 5.6 12.0 12.6 8.9 5.9
Gujarat 15.9 4.6 5.8 5.8 13.5 8.4 4.0
Tamil Nadu 16.7 3.8 4.2 3.9 9.6 11.5 4.8
Mean 17.4 4.3 5.0 8.7 11.8 8.7 5.7
CV 12.6 19.4 12.0 57.6 11.1 13.5 23.3
Group B
Kerala 18.0 5.0 4.6 0.3 12.5 15.1 5.0
Punjab 15.4 4.1 1.7 11.0 17.8 14.3 11.7
Karnataka 15.5 3.8 6.6 6.0 7.3 8.6 4.7
Andhra Pradesh 14.5 3.9 3.4 5.9 10.0 10.6 5.7
West Bengal 18.8 4.3 2.1 2.0 20.9 11.7 5.7
Mean 16.4 4.2 3.7 5.0 13.7 12.0 6.6
CV 10.2 9.9 48.5 73.2 36.4 20.3 39.6
Group C
Rajasthan 17.1 4.2 4.1 12.4 10.1 8.7 4.6
Jharkhand 14.3 3.8 7.4 6.0 9.2 12.3 11.5
Chhattisgarh 18.3 3.6 7.2 1.3 3.5 7.1 7.0
Madhya Pradesh 16.1 3.6 4.3 9.7 7.5 6.9 5.6
Odisha 15.7 3.3 7.0 2.1 5.4 11.0 7.1
Uttar Pradesh 16.7 3.5 6.8 6.2 9.0 10.1 6.4
Bihar 19.5 2.9 7.1 7.6 7.1 12.3 6.7
Mean 16.8 3.6 6.3 6.5 7.4 9.8 7.0
CV 9.4 10.9 21.2 56.5 29.3 21.4 28.9
All NSC States
Mean 16.9 4.0 5.1 6.7 10.5 10.1 6.5
CV 10.9 16.6 33.3 64.8 39.4 24.0 32.6
9State Finances : A Study of Budgets of 2015-16
the literature (Morris and McAlpin, 1982; Bhide of states (Table II.2). As the emphasis on fi scal
and Panda, 2002; Dholakia, 2005) is applied to consolidation was renewed in the post-crisis
data on statesβ fi nances for the period 2003-04 to years, expenditure scores have moderated and
2013-14 broken into three sub-periods β pre-crisis so has expenditure quality.12 Scores on energy
years (2003-04 to 2007-08); the global fi nancial expenditure, however, do not show any increase
crisis (2008-09 to 2009-10); and post-crisis years during the crisis period since such expenditures
(2010-11 to 2013-14) β to assess the impact are usually huge and often met through borrowed
of structural breaks and also as a robustness funds.
check. During the crisis, a few state governments
3.d Impact of Public Expenditure on Growth13
announced dedicated fi scal stimulus packages in
2.22 The impact of different types of government
order to boost demand, while many other states
spending on per capita GSDP growth is explored
announced sector specifi c tax reductions in order
at the state level. In order to examine the growth-
to deal with the resulting slowdown (RBI, 2010).10
expenditure relationship, it is hypothesised that
Minimum and maximum values of four indicators
higher share of capital outlay and developmental
representing expenditure on health, education,
expenditure in total government spending have
roads and bridges, and energy as a proportion
a positive impact on per capita GSDP growth
to the stateβs own tax revenue are identifi ed. For
of states. To test this hypothesis empirically, a
each indicator, the score of each state is mapped
dynamic panel model is estimated in the tradition of
to a scale of 0 to 100 where 0 represents minimum
Cabezon et.al, (2015) comprising NSC states over
performance and 100 represents maximum
the period 2001-02 to 2013-14 (221 observations).
performance.11
Per capita GSDP growth is regressed on the
2.21 During the global fi nancial crisis, gross fi scal defi cit (GFD) as a proportion to GSDP
expenditure on education, health and roads and (GFD/GSDP), the ratio of public debt to GSDP
bridges increased for all three income categories (as in Baldacci et al., 2004) and on the share of
Table II.2: Scores of select expenditure items of NSC States
State Social Sector Physical Infrastructure
Category
Education Health Roads and Bridges Energy
Pre- Crisis Post- Pre- Crisis Post- Pre- Crisis Post- Pre- Crisis Post-
crisis crisis crisis crisis crisis crisis crisis crisis
Group A 6.5 9.8 8.8 8.3 11.3 11 9 15.5 10.7 9.6 8 7
Group B 10.3 10.8 11.3 18.3 20.7 19.7 9.8 11.4 9.8 9.9 9.7 6.6
Group C 25.8 29.1 26.4 38 37.2 28.8 25 32.1 25.8 24.1 14.2 14.3
NSC States 12.8 15.4 14.5 19.4 21.5 18.7 13.4 18.7 14.6 13.5 10.3 8.9
10 Recognising the need for reviving economic growth, the Government of India permitted the State governments to borrow an additional 0.5
per cent of their GSDP by relaxing the fi scal defi cit target under FRBM from 3.0 per cent to 3.5 per cent in 2008-09 and further to 4 per cent
of their GSDP in 2009-10 (RBI, 2010).
11 The scores are calculated based on the following formula: , where X is the proportion of the expenditure
it
item in stateβs own tax revenue.
12 The scores, however, may be somewhat infl uenced by the fl uctuations in own tax revenue during the sample periods.
13 The empirical work undertaken in this section and the following section (3e) have gone through a refereeing process.
10Quality of Sub-national Public Expenditure
four important expenditure categories β capital are in conformity with earlier studies (Misra, 2012;
outlay, revenue expenditure, development and Bose and Bhanumurthy, 2013). These empirical
non-development expenditure in total expenditure fi ndings suggest that switching the composition of
(following Devarajan et al., 1996). expenditure of the states in favour of capital outlay,
while containing the fi scal defi cit, has positive
2.23 Panel data unit root tests developed by
implications for growth.
Levin et al. (2002) and Im et al. (2003) reject the
null of a unit root for all the variables in the data. 3.e Impact of Public Expenditure on Effi ciency - A
The impact of various government expenditure Case Study of the Education Sector
categories on per capita GSDP growth of states
2.25 In gauging the effi ciency of government
is estimated using dynamic panel Generalised
spending, there is a need to go beyond a strictly
Method of Moments (GMM) estimation (Arellano
accounting view of public expenditure and instead
and Bond, 1991), which allows to correct for state-
adopt a social welfare maximisation approach
specifi c individual effects and the endogeneity of
(Gupta and Verhoeven, 2001; Herrera and Pang,
the explanatory variables by instrumenting with
2005). Alternative techniques such as Stochastic
lagged explanatory variables. 14
Frontier Analysis (SFA), Data Envelopment
2.24 Four different models have been estimated: Analysis (DEA) and Free Disposable Hull (FDH)
model 1 studies the impact of capital outlay on have been developed to assess the effi ciency
and effectiveness of government expenditure.
per capita GSDP growth while models 2, 3 and
Among them, the FDH makes fewer assumptions
4 examine the effects of revenue, development
in contrast to the DEA and the SFA. Moreover, it
and non-development expenditure, respectively.
lends practical utility for policy analysis as it is a
Estimation results presented in Annex 1 are
non-parametric technique unlike the SFA and does
intuitively appealing: (i) a higher defi cit has a
not assume convexity of the production frontier as
negative impact on growth; (ii) a non-linear impact
assumed under the DEA (Muhabir, 2011).
of the debt-GSDP ratio on per capita growth is
consistent with the literature (IMF, 2012) β while 2.26 The FDH effi ciency scores of education
low levels of debt are found to be conducive attainment are computed for the period 2005-06
for growth, higher levels are growth-retarding; to 2012-13 in respect of income group A, B, C for
(iii) enhancing the share of capital outlay and NSC states and separately for SC states.16 These
development expenditure in total spending average effi ciency scores are measured using two
stimulates per-capita GSDP growth while revenue inputs (public expenditure and teacher-student
and non-development expenditures are found to ratio) and two outputs (gross primary and upper
have negative consequences.15 Overall, the results primary school enrolment)17.
14 The Arellano-Bond estimator is particularly useful in the context of this exercise as the sample period is less than the number of states. It is
observed that for large time periods, the state-specifi c fi xed effects which shows in the error term may decline over time.
15 A large amount of expenditure on health and education such as salary payments, administrative expenses etc., come under revenue
expenditure; as such, there may be some relationship between revenue expenditure and lagged capital outlay, which is not captured in
model-2.
16 For each year, a separate model is employed to measure effi ciency scores of individual states and then group specifi c averages in each
year are computed and reported.
17 Data for gross enrolment ratio and teacher-student ratio are taken from District Information System for Education (DISE) data published by
National University of Education Planning & Administration (NUEPA).
11State Finances : A Study of Budgets of 2015-16
2.27 The average effi ciency scores vary across evident for the other groups. Therefore, the other
Groups and year (Table II.3). In recent years (2011- Groups need to follow the best practices of Group
12 and 2012-13), the effi ciency frontiers in both A so that they can move towards the frontier over
input-oriented and output oriented methods are time.
essentially defi ned by Group βAβ states.18 These
3.f. Impact of FRBM
states have also managed to improve and attain
2.29 A well-designed fi scal responsibility
full effi ciency in both measures (in a relative sense)
legislation (FRL) helps in containing fi scal defi cits
over the years. Interestingly, Group βCβ states seem
and rationalizing expenditure biases, while
to outperform Group βBβ states as indicated by their
addressing the problem of time inconsistency
average effi ciency scores, although the difference
and enhancing transparency and accountability
is not large. In terms of input oriented scores, the
(Corbacho and Schwartz, 2007). In India, FRBM
βSCβ states have generally lower scores compared
legislations were passed by states at different
to all other groups.
points of time and consequently, the number of
2.28 From an input-oriented point of view, years considered for the analysis of the impact
Group βAβ states has an effi ciency score of 0.86 in of FRBM on state fi nances is not uniform across
2005-06, implying that these states could reduce states. To maintain consistency in the analysis,
14 per cent (i.e. 100 minus 86) of their resources however, equal number of years are taken before
to achieve given levels of output, i.e., these states and after implementation of FRBM by each state
on an average were employing excess resources to calculate the average for the period 1991-92 to
of nearly 14 percent. Similarly, the output oriented 2013-14. The fi ve broad fi scal indicators considered
results, which show an effi ciency score of 0.81 in are total expenditure, revenue expenditure, capital
the same year for Group βAβ states, means that outlay, developmental and non-developmental
output quantities could be increased by 19 per expenditure. All the indicators are normalised in
cent with the same level of inputs. Over the period terms of gross state domestic product (GSDP)
of analysis, the average scores for both input of respective states at current prices. States are
and output effi ciency of Group βAβ states have grouped into A, B and C categories in terms of
gradually increased whereas no such tendency is their real per capita incomes in 2013-14.
Table II.3: Free Disposable Hull (FDH) effi ciency scores, by groups of states
Input orientated Output orientated
Year
A B C SC A B C SC
2005-06 0.86 0.90 0.98 0.84 0.81 0.82 0.97 0.92
2006-07 0.83 0.88 0.97 0.76 0.88 0.91 0.93 0.95
2007-08 0.73 0.85 0.91 0.79 0.77 0.91 0.96 0.95
2008-09 0.74 0.86 0.90 0.77 0.79 0.90 0.96 0.97
2009-10 0.96 0.94 0.91 0.83 0.87 0.92 0.94 0.96
2010-11 0.94 0.92 0.95 0.8 0.96 0.91 0.98 0.96
2011-12 1.00 0.86 0.92 0.81 1.00 0.95 0.97 0.97
2012-13 1.00 0.94 0.95 0.82 1.00 0.95 0.96 0.95
18 For both input as well as output, Group βAβ states have effi ciency scores equal to 1.
12Quality of Sub-national Public Expenditure
2.30 Signifi cantly, 13 out of the 17 NSC point in the post-FRBM period, four states
states have been successful in reducing the have been successful in reducing their revenue
proportion of their total expenditure to GSDP expenditure-GSDP ratio by two percentage
after implementation of FRBM (Table II.4). points or more. No state from the middle-income
Interestingly, fi ve states (three in group βAβ category fi gures in this list.
and two in group βCβ) have experienced an
2.32 States, in general, have raised the average
expenditure reduction of two percentage points
capital outlay-GSDP ratio by 0.6 percentage
and above, which is noteworthy since the overall
point post-FRBM. Six states outperformed the
average expenditure-GSDP ratio of the 17 states
average by improving this ratio by more than 1
underwent a reduction of about one percentage
percentage point (Table II.5). Overall, 13 states,
point between the two periods.
including all those in group βAβ and six in group
2.31 In terms of expenditure composition, 12 βCβ have improved their capital outlay-GSDP
states (including all in group βAβ) have been able ratios.
to curtail their revenue expenditure-GSDP ratio
2.33 At the overall level, there has been
in the post-FRBM period (Table II.5). While the
only a marginal improvement in the average
overall average has reduced by 1.0 percentage
Table II.5: Revenue and Capital Outlay
(per cent)
Table II.4: Total Expenditure
State Rev.Exp./GSDP Capital Outlay/GSDP
(per cent) Category
Total Expenditure/GSDP Pre- Post- Pre- Post-
State FRBM FRBM FRBM FRBM
Category Pre-FRBM Post-FRBM
Group A
Group A
Goa 20.0 13.9 2.8 3.1
Goa 22.9 17.0
Maharashtra 12.0 10.3 1.5 1.7
Maharashtra 14.0 12.2
Haryana 13.2 11.3 1.5 1.9
Haryana 15.5 13.4
Gujarat 14.3 10.5 1.9 2.5
Gujarat 16.8 13.1
Tamil Nadu 13.2 12.7 0.9 2.0
Tamil Nadu 14.7 15.2
Group B
Group B
Kerala 14.0 14.1 1.0 0.9
Kerala 15.6 15.4
Punjab 14.9 14.7 1.2 1.1
Punjab 16.7 15.9
Karnataka 13.7 14.3 1.9 3.1
Karnataka 16.1 17.7
Andhra Pradesh 14.2 13.7 1.7 2.5
Andhra Pradesh 17.1 16.8
West Bengal 14.2 13.5 0.9 0.8
West Bengal 15.4 14.4
Group C
Group C
Rajasthan 15.3 14.2 2.3 2.4
Rajasthan 18.0 16.8 Jharkhand 15.6 15.9 3.5 3.2
Jharkhand 20.3 19.4 Chhattisgarh 13.3 15.5 1.9 3.0
Chhattisgarh 15.6 19.2 Madhya 17.3 16.2 2.2 3.3
Madhya Pradesh 20.3 21.1 Pradesh
Odisha 19.9 17.6 Odisha 17.2 15.2 1.8 2.2
Uttar Pradesh 17.4 21.2 Uttar Pradesh 15.1 17.3 1.3 3.7
Bihar 26.2 24.1 Bihar 22.4 19.3 2.4 4.3
Average 17.8 17.1 Average 15.3 14.3 1.8 2.4
13State Finances : A Study of Budgets of 2015-16
development expenditure-GSDP ratio (Table the quality of expenditure after the implementation
II.6). Although no state from the high income of FRBM.
category recorded an improvement in the post-
2.34 For sustainable long-term growth, the
FRBM period, seven states β mostly from the low
revenue account needs to be balanced while
income group β appear in this list. In contrast, there
borrowed funds should only be used for capital
has been an appreciable decline in the average
expenditure in order to maintain inter-generational
non-developmental expenditure-GSDP ratio
equity (Emmerson et al., 2006). Moreover, lower
post-FRBM, with a majority of states achieving a
defi cits will lead to reduced borrowings which,
reduction in the range of 0.4 -3.9 percentage points
in turn, would ease interest burdens. After the
(Table II.6). Thus, fi scal consolidation at the state
implementation of FRBM, there has been an
level has been accompanied by improvement in
increase in the number of occasions on which
Table II.6: Developmental and Non- various states have recorded revenue balance/
developmental Expenditure surplus (Annex 2).
(per cent)
4. Conclusion
State Dev.Exp./GSDP Non-dev.Exp./GSDP
Category
2.35 Statesβ spending has been marked by
Pre- Post- Pre- Post- the dominance of revenue expenditure. As the
FRBM FRBM FRBM FRBM
empirical analysis presented in this chapter shows,
Group A
it is an increase in the share of capital outlay and
Goa 14.2 12.2 8.7 4.8
Maharashtra 8.7 8.3 5.1 3.8 development expenditure in total expenditure that
Haryana 9.7 9.7 5.8 3.6
stimulates higher growth in per capita GSDP. Over
Gujarat 11.8 9.1 4.9 3.9
the last decade, there has been some improvement
Tamil Nadu 9.6 9.6 4.6 4.7
in the quality of expenditure but with considerable
Group B
Kerala 9.5 8.0 5.9 6.5 dispersion across states.
Punjab 8.5 7.6 8.1 8.1
Karnataka 11.4 12.4 4.4 4.6 2.36 A disconcerting feature is the stagnation
Andhra Pradesh 11.5 12.1 5.5 4.6 in expenditure on education and health.
West Bengal 8.9 8.3 6.4 5.9
Larger investment in education and health is
Group C
a prerequisite for harnessing the benefi ts of a
Rajasthan 11.3 11.5 6.7 5.3
rapidly increasing young work force for gainful
Jharkhand 14.6 13.4 5.7 6.1
Chhattisgarh 10.6 14.6 4.5 4.2 and productive allocation of human capital. In
Madhya 13.5 14.8 6.2 5.4
this context, the revenue balance/surplus which
Pradesh
Odisha 11.8 11.7 7.9 5.6 many states have recorded in recent years may
Uttar Pradesh 10.0 12.7 7.0 7.7
provide the necessary fi scal space to increase
Bihar 15.4 16.6 10.8 7.5
investments in social and physical infrastructure.
Average 11.2 11.3 6.4 5.4
Furthermore, with the FC-XIV recommending
Note: Details of developmental and non-developmental expenditure
higher tax devolution from the Centre to the
can be seen in Appendix 2 and Appendix 4.
14Quality of Sub-national Public Expenditure
states from 2015-16, the states will have greater fi scal positions by enabling them to benchmark
autonomy in prioritizing their expenditure on social themselves vis-Γ -vis their peers. In order to garner
and physical infrastructure through untied funds. additional fi scal space, states need to redouble
2.37 The quality of expenditure of most Indian their efforts in revenue mobilisation along with
states has modestly improved following the prioritizing expenditure on physical and social
enactment of FRBM. Rule-based frameworks have expenditure while economizing on non-essential
imparted greater responsibility to states on their heads.
15Fiscal Position of
III
State Governments1
Public finances of states deteriorated in 2013-14 and 2014-15 (RE). While revenue receipts slowed in
2013-14 as overall economic activity slackened, they were shored up in 2014-15 by grants in aid through enhanced
transfers under βState Plan Schemesβ. Despite higher devolution of taxes, central transfers-GDP ratio is budgeted
to decline in 2015-16 due to discontinuation of many centrally sponsored schemes (CSSs). Expenditure rationing
measures have been budgeted to arrest the erosion in state finances in 2015-16 (BE), but adverse implications for
the quality of consolidation raise concerns.
1. Introduction revenue defi cit (RD) after a gap of three years
(Table III.1). 2 The reduction in consolidated revenue
3.1 Against the backdrop of some slippages
expenditure was more than offset by a reduction
in key defi cit indicators during 2013-14 and 2014-
in revenue receipts, refl ecting the slowdown in
15 (RE), most states have budgeted for reverting
overall economic activity. The fi scal position of both
back to the path of fi scal consolidation in 2015-16
special category (SC) and non-special category
(BE). This is sought to be achieved by increasing
(NSC) states deteriorated, although the SC states
the surplus in the revenue account and a marginal
continued to post a modest surplus (Table III.2).
decline in capital outlay (as a proportion to GDP)
3.3 The consolidated revenue receipts-GDP
(Table III.1).
ratio of states declined due to reduction in both
2. Accounts: 2013-14
own revenue and central transfers (Table III.3). In
3.2 The fi scal position of states deteriorated particular, revenue from stamps and registration
during 2013-14, leading to re-emergence of a fees, sales tax/value added tax (VAT) and
Table III.1: Major Defi cit Indicators of State Governments
(Amount in ` billion)
Item 2011-12 2012-13 2013-14 2014-15 (BE) 2014-15 (RE) 2015-16 (BE)
1 2 3 4 5 6 7
Revenue Defi cit -239.6 -203.2 105.6 -543.0 183.4 -537.2
(-0.3) (-0.2) (0.1) (-0.4) (0.1) (-0.4)
Gross Fiscal Defi cit 1,683.5 1,954.7 2,478.5 2,950.6 3,654.6 3,333.3
(1.9) (2.0) (2.2) (2.3) (2.9) (2.4)
Primary Defi cit 315.4 450.0 789.5 1,018.6 1,726.0 1,141.8
(0.4) (0.5) (0.7) (0.8) (1.4) (0.8)
BE: Budget Estimates. RE: Revised Estimates.
Note: 1. Negative (-) sign indicates surplus.
2. Figures in parentheses are percentages to GDP.
3. The ratios to GDP at current market prices are based on CSO's National Accounts 2011-12 series.
Source: Budget Documents of state governments.
1 The analysis of various fi scal indicators is in proportion to GDP, unless otherwise stated. Moreover, the analysis pertains to Final Accounts
for 2013-14, Revised Estimates for 2014-15 and Budget Estimates for 2015-16.
2 Earlier, the consolidated revenue account of states was in defi cit during 2009-10.
16Fiscal Position of State Governments
Table III.2: Fiscal Imbalances in Non-Special Table III.3: Aggregate Receipts of
and Special Category States State Governments
(Per cent to GSDP) (Amount in ` billion)
Item 2012-13 2013-14 2014-15 2015-16
2011- 2012- 2013- 2014- 2015-
(RE) (BE)
12 13 14 15 16
(RE) (BE) 1 2 3 4 5
1 2 3 4 5 6
Aggregate Receipts 14,508.6 16,262.9 21,490.7 23,415.4
Revenue Defi cit (1+2) (14.6) (14.4) (17.2) (16.6)
Non-Special
1. Revenue Receipts 12,520.2 13,691.9 18,058.3 20,118.9
Category States -0.2 -0.1 0.2 0.2 -0.3
(a+b) (12.6) (12.1) (14.5) (14.3)
Special Category
States -2.0 -2.0 -0.9 -0.5 -2.5 a. States' Own 7,718.1 8,449.6 9,778.6 11,190.9
Revenue (i+ii) (7.8) (7.5) (7.8) (7.9)
All States
Consolidated* -0.3 -0.2 0.1 0.1 -0.4 i. States' Own 6,545.5 7,124.2 8,168.7 9,322.1
Gross Fiscal Tax (6.6) (6.3) (6.5) (6.6)
Defi cit
ii. States' Own 1,172.6 1,325.4 1,609.9 1,868.8
Non-Special Non-Tax (1.2) (1.2) (1.3) (1.3)
Category States 2.1 2.2 2.4 3.1 2.6
b. Current Transfers 4,802.1 5,242.3 8,279.7 8,928.0
Special Category
States 2.8 2.4 3.1 6.3 3.4 (i+ii) (4.8) (4.7) (6.6) (6.3)
All States i. Shareable 2,915.3 3,182.7 3,662.2 4,855.2
Consolidated* 1.9 2.0 2.2 2.9 2.4 Taxes (2.9) (2.8) (2.9) (3.4)
Primary Defi cit
ii. Grants-in Aid 1,886.8 2,059.5 4,617.5 4,072.8
Non-Special (1.9) (1.8) (3.7) (2.9)
Category States 0.4 0.5 0.8 1.4 0.9
Special Category 2. Net Capital Receipts 1,988.4 2,571.0 3,432.5 3,296.5
States 0.4 0.0 1.0 4.1 1.1 (a+b) (2.0) (2.3) (2.7) (2.3)
All States a. Non-Debt Capital 73.7 72.6 102.1 59.8
Consolidated* 0.4 0.5 0.7 1.4 0.8 Receipts (0.1) (0.1) (0.1) (0.0)
Primary Revenue
i. Recovery of 72.6 69.0 70.4 58.5
Defi cit
Loans and (0.1) (0.1) (0.1) (0.0)
Non-Special Advances
Category States -1.9 -1.8 -1.5 -1.5 -2.0
ii. Miscellaneous 1.0 3.6 31.7 1.3
Special Category
Capital (0.0) (0.0) (0.0) (0.0)
States -4.4 -4.4 -3.1 -2.7 -4.8
Receipts
All States
Consolidated* -1.8 -1.7 -1.4 -1.4 -1.9 b. Debt Receipts 1,914.7 2,498.5 3,330.4 3,236.7
(1.9) (2.2) (2.7) (2.3)
* : As a ratio to GDP. BE: Budget Estimates. RE: Revised i. Market 1,462.5 1,635.7 2,298.2 2,638.0
Estimates. Borrowings (1.5) (1.5) (1.8) (1.9)
Note: Negative (-) sign indicates surplus.
Source: Budget Documents of state governments. ii. Other Debt 452.2 862.7 1,032.2 598.8
Receipts (0.5) (0.8) (0.8) (0.4)
state excise as well as shares in central taxes
BE: Budget Estimates RE: Revised Estimates.
decelerated in 2013-14 from a year ago (Table Note: 1. Figures in parentheses are percentages to GDP.
2. Debt Receipts are on net basis.
III.4). On the other hand, debt receipts have
Source: Budget Documents of state governments.
increased (Table III.3).
2014-15 (RE). The increase in revenue receipts
3. Revised Estimates: 2014-15
was commensurate with the increase in revenue
3.4 Latest available data show an increase expenditure resulting in an unchanged revenue
in statesβ consolidated capital outlay-GDP ratio defi cit from 2013-14 which, however, exceeded
and a deterioration in the GFD-GDP ratio in the budgeted level for 2014-15.
17State Finances : A Study of Budgets of 2015-16
Table III.4: Variation in Major Items
(Amount in ` billion)
Item 2012-13 2013-14 2014-15 2015-16
Accounts Per cent Accounts Per cent RE Per cent BE Per cent
Variation Variation Variation Variation
Over Over Over Over
2011-12 2012-13 2013-14 2014-15
(RE)
1 2 3 4 5 6 7 8 9
I. Revenue Receipts (i+ii) 12,520.2 14.0 13,691.9 9.4 18,058.3 31.9 20,118.9 11.4
(i) Tax Revenue (a+b) 9,460.8 16.4 10,306.9 8.9 11,830.9 14.8 14,177.3 19.8
(a) Own Tax Revenue 6,545.5 17.4 7,124.2 8.8 8,168.7 14.7 9,322.1 14.1
of which: Sales Tax 4,038.5 17.0 4,539.4 12.4 5,218.5 15.0 5,943.3 13.9
(b) Share in Central Taxes 2,915.3 14.1 3,182.7 9.2 3,662.2 15.1 4,855.2 32.6
(ii) Non-Tax Revenue 3,059.4 7.1 3,385.0 10.6 6,227.4 84.0 5,941.6 -4.6
(a) States' Own Non-Tax Revenue 1,172.6 18.3 1,325.4 13.0 1,609.9 21.5 1,868.8 16.1
(b) Grants from Centre 1,886.8 1.2 2,059.5 9.2 4,617.5 124.2 4,072.8 -11.8
II. Revenue Expenditure 12,317.0 14.6 13,797.5 12.0 18,241.6 32.2 19,581.7 7.3
of which:
(i) Development Expenditure 7,584.1 16.6 8,455.3 11.5 11,897.0 40.7 12,438.7 4.6
of which: Education, Sports, Art and Culture 2,454.0 13.6 2,735.3 11.5 3,489.7 27.6 3,854.7 10.5
Transport and Communication 319.1 16.6 364.9 14.4 436.7 19.7 405.4 -7.2
Power 629.4 36.8 640.9 1.8 869.1 35.6 855.3 -1.6
Relief on account of Natural Calamities 109.8 -19.8 169.4 54.2 202.2 19.4 132.4 -34.5
Rural Development 443.7 19.2 487.7 9.9 1,234.5 153.1 1,232.4 -0.2
(ii) Non-Development Expenditure 4,375.7 11.4 4,909.2 12.2 5,804.4 18.2 6,603.9 13.8
of which: Administrative Services 960.9 11.8 1,073.0 11.7 1,364.1 27.1 1,548.4 13.5
Pension 1,447.5 13.3 1,630.9 12.7 1,866.2 14.4 2,159.7 15.7
Interest Payments 1,504.7 10.0 1,689.0 12.2 1,928.6 14.2 2,191.5 13.6
III. Net Capital Receipts # 1,988.4 1.5 2,571.0 29.3 3,432.5 33.5 3,296.5 -4.0
of which: Non-Debt Capital Receipts 73.7 -58.4 72.6 -1.5 102.1 40.7 59.8 -41.4
IV. Capital Expenditure $ 2,231.6 6.2 2,445.4 9.6 3,573.3 46.1 3,930.3 10.0
of which: Capital Outlay 1,931.8 12.8 2,205.5 14.2 3,320.1 50.5 3,679.2 10.8
of which: Capital Outlay on Irrigation and Flood
Control 497.0 6.4 507.5 2.1 646.1 27.3 710.7 10.0
Capital Outlay on Energy 185.0 -5.4 228.3 23.4 358.1 56.8 360.2 0.6
Capital Outlay on Transport 452.9 19.7 566.2 25.0 740.5 30.8 826.9 11.7
Memo Item:
Revenue Defi cit -203.2 -15.2 105.6 -152.0 183.4 73.6 -537.2 -393.0
Gross Fiscal Defi cit 1,954.7 16.1 2,478.5 26.8 3,654.6 47.4 3,333.3 -8.8
Primary Defi cit 450.0 42.7 789.5 75.5 1,726.0 118.6 1,141.8 -33.8
BE: Budget Estimates RE: Revised Estimates.
# : It includes items (on net basis) such as, Internal Debt, Loans and Advances from the Centre, Inter-State Settlement, Contingency Fund, Small Savings,
Provident Funds etc, Reserve Funds, Deposits and Advances, Suspense and Miscellaneous, Appropriation to Contingency Fund and Remittances.
$ : Capital Expenditure includes Capital Outlay and Loans and Advances by State Governments.
Note: 1. Negative (-) sign in defi cit indicators indicates surplus.
2. Also see Notes to Appendices.
Source: Budget Documents of state governments.
The revenue accounts of 14 states deteriorated 3.5 A sharp increase in central transfers in
while the GFD-GSDP ratio worsened in 23 states. 2014-15 refl ected the year-on-year increase by
18Fiscal Position of State Governments
1.3 per cent of GDP in grants from the Centre for expenditure also increased, primarily due to the
state plan schemes. This refl ected the changing increase in administrative services and pensions.
pattern of funding for CSS.3 Interest payments remained unchanged in
2014-15.5
3.6 Revenue expenditure increased
signifi cantly during 2014-15 on account of higher 3.7 Capital outlay increased signifi cantly in
expenditure on certain social and economic 2014-15 over the previous year. Expenditure on
services (Table III.5).4 Education, sports, art and social services such as education, sports, art and
culture and rural development received higher culture, medical and public health, water supply
disbursements. Non-development revenue and sanitation, housing and economic services
Table III.5: Expenditure Pattern of State Governments
(Amount in ` billion)
Item 2012-13 2013-14 2014-15 2015-16
(RE) (BE)
1 2 3 4 5
Aggregate Expenditure (1+2 = 3+4+5) 14,548.6 16,243.0 21,814.9 23,512.0
(14.6) (14.4) (17.5) (16.7)
1. Revenue Expenditure 12,317.0 13,797.5 18,241.6 19,581.7
of which: (12.4) (12.2) (14.6) (13.9)
Interest payments 1,504.7 1,689.0 1,928.6 2,191.5
(1.5) (1.5) (1.5) (1.6)
2. Capital Expenditure 2,231.6 2,445.4 3,573.3 3,930.3
of which: (2.2) (2.2) (2.9) (2.8)
Capital outlay 1,931.8 2,205.5 3,320.1 3,679.2
(1.9) (2.0) (2.7) (2.6)
3. Development Expenditure 9,722.6 10,764.5 15,235.3 16,078.0
(9.8) (9.5) (12.2) (11.4)
4. Non-Development Expenditure 4,468.8 5,045.5 6,039.4 6,894.8
(4.5) (4.5) (4.8) (4.9)
5. Others* 357.2 432.9 540.3 539.2
(0.4) (0.4) (0.4) (0.4)
RE: Revised Estimates BE: Budget Estimates.
*: Includes grants-in-aid and contributions (compensation and assignments to local bodies).
Note: 1. Figures in parentheses are percentages to GDP.
2. Capital Expenditure includes Capital Outlay and Loans and Advances by State Governments.
Source: Budget Documents of state governments.
3 Starting with 2014-15 (BE), the entire fi nancial assistance to states for CSS is being routed through the consolidated funds of states under
the head βcentral assistance to state/UT plansβ. As per the Union Budget 2015-16, funds for CSS which were hitherto directly transferred to
district rural development agencies (DRDA) and independent societies are now routed through the state budgets, accounting for over 60 per
cent of the total central assistance to state/ UT plans for 2014-15(BE).
4 Revenue expenditure-GDP ratio increased by 2.4 percentage points in 2014-15(RE) over the previous year.
5 Interest payments has remained at 1.5 per cent of GDP for the last four years.
19State Finances : A Study of Budgets of 2015-16
viz., food storage and warehousing and rural the year for which the borrowing limit has to be
development also accelerated during the year. fi xed and the immediately preceding year.
4. Budget Estimates: 2015-16 Gross Fiscal Defi cit
Key Defi cit Indicators 3.11 Market borrowings would continue to
remain the major source of fi nancing the GFD of
3.8 All key defi cit indicators are budgeted
states, with its share set to increase signifi cantly.
to improve in 2015-16 at the aggregate level.
Over the years, the contribution of public account
The consolidated revenue account of state
items like βdeposits and advancesβ and βsuspense
governments is projected to be in surplus during
2015-16, indicative of the intent to resume fi scal and miscellaneousβ in GFD fi nancing has declined
consolidation. An improvement in the revenue (Table III.7).
account and a marginal decline in capital outlay
Revenue Receipts
is expected to provide the necessary fi scal
3.12 The decline in consolidated central
space for a reduction in the GFD-GDP ratio by
transfers is budgeted to counterbalance the
0.5 percentage point from its level a year ago. A
marginal increase in statesβ own revenue receipts,
reduction of 0.6 percentage point in the primary
resulting in a lower revenue receipts-GDP ratio.
defi cit is envisaged, which is conducive for long-
Despite an increase in the share of tax devolution
run sustainability of state fi nances.
from 32 per cent to 42 per cent of the divisible
3.9 While 20 states have budgeted for revenue
pool on the recommendations of the FC-XIV, the
surplus, 18 have budgeted for improvements in
central transfers-GDP ratio is budgeted to decline
their revenue accounts in terms of GSDP. The
due to the sharp reduction in grants-in-aid. This
GFD and the PD are budgeted to decline in 16
could be an outcome of discontinuation of many
and 17 states, respectively (Table III.6).
CSS schemes in the Union Budget 2015-16,
3.10 The FC-XIV suggested a ceiling for statesβ resulting in a decline of funds under the state plan
GFD at 3 per cent of GSDP for the award period. scheme.6 Instead of increasing the funds available
An additional borrowing limit of 0.25 per cent each to state governments, these changes have led to
was allowed if (i) statesβ debt-GSDP is less than or a decline in central transfers to states by 0.3 per
equal to 25 per cent and/or (ii) interest payment/
cent of GDP (Chart III.1).
revenue receipts are less than or equal to 10 per
Expenditure Pattern
cent. These two options can be availed by a state
either separately or simultaneously if both criteria 3.13 The consolidated revenue expenditure-
are fulfi lled. Thus, a state can effectively have a GDP ratio of state governments is budgeted to
maximum GFD-GSDP limit of 3.5 per cent in a be smaller by 0.7 percentage points due to lower
year. Availing additional borrowing is contingent growth in its developmental component (both
upon the state recording a zero revenue defi cit in social and economic services). Almost all heads
6 Consequent to the higher devolution of Union Taxes to states, the FC-XIV identifi ed over 30 CSS to be delinked from Central support. The
Central Government, however, has proposed to continue its support to schemes which represent national priorities, legal/constitutional
obligations and are meant for the benefi t of disadvantaged people in society. Consequently, eight schemes have been delinked from support
of the Centre.
20Fiscal Position of State Governments
Table III.6: Defi cit Indicators of State Governments
(Per cent)
State 2013-14 2014-15 (RE) 2015-16 (BE)
RD/ GFD/ PD/ PRD/ RD/ GFD/ PD/ PRD/ RD/ GFD/ PD/ PRD/
GSDP GSDP GSDP GSDP GSDP GSDP GSDP GSDP GSDP GSDP GSDP GSDP
1 2 3 4 5 6 7 8 9 10 11 12 13
I. Non-Special Category 0.2 2.4 0.8 -1.5 0.2 3.1 1.4 -1.5 -0.3 2.6 0.9 -2.0
1. Andhra Pradesh 0.0 2.1 0.6 -1.5 2.7 3.9 2.0 0.9 1.2 3.0 1.1 -0.7
2. Bihar -1.9 2.4 0.8 -3.5 1.1 8.2 6.5 -0.5 -2.6 3.0 1.4 -4.2
3. Chhattisgarh 0.4 2.7 2.0 -0.3 -1.1 2.7 1.9 -2.0 -1.7 2.7 1.9 -2.5
4. Goa 0.7 2.8 0.9 -1.1 -0.1 3.5 1.5 -2.0 -0.8 5.2 3.2 -2.9
5. Gujarat -0.6 2.4 0.7 -2.4 -0.7 2.1 0.4 -2.5 -0.7 2.2 0.6 -2.4
6. Haryana 1.0 2.1 0.6 -0.5 2.2 3.6 1.9 0.5 1.8 3.1 1.5 0.2
7. Jharkhand -1.6 1.3 -0.2 -3.1 -1.9 2.5 1.1 -3.3 -2.1 2.3 0.8 -3.6
8. Karnataka -0.1 2.8 1.5 -1.3 0.0 2.7 1.4 -1.3 -0.1 2.7 1.3 -1.6
9. Kerala 2.9 4.3 2.2 0.8 2.1 3.2 1.3 0.1 1.4 3.1 1.2 -0.5
10. Madhya Pradesh -1.4 2.3 0.8 -2.8 -1.3 2.7 1.3 -2.6 -0.9 2.8 1.4 -2.3
11. Maharashtra 0.3 1.7 0.3 -1.1 0.8 2.2 0.8 -0.6 0.2 1.6 0.2 -1.3
12. Odisha -1.2 1.7 0.6 -2.3 -1.1 2.9 1.6 -2.4 -1.5 3.0 1.7 -2.7
13. Punjab 2.1 2.8 0.3 -0.4 1.8 3.0 0.4 -0.8 1.6 3.0 0.5 -0.9
14. Rajasthan 0.2 2.9 1.2 -1.6 0.7 4.0 2.2 -1.1 -0.1 3.2 1.3 -2.0
15. Tamil Nadu 0.2 2.4 1.0 -1.2 0.4 2.8 1.3 -1.2 0.4 2.9 1.3 -1.1
16. Telangana - - - - -0.1 4.0 2.7 -1.4 -0.1 3.3 1.8 -1.6
17. Uttar Pradesh -1.2 2.7 0.7 -3.2 -3.3 2.9 1.0 -5.2 -3.1 2.9 1.0 -5.1
18. West Bengal 2.7 3.6 0.6 -0.3 1.3 3.0 0.3 -1.4 0.0 1.7 -0.8 -2.5
II. Special Category -0.9 3.1 1.0 -3.1 -0.5 6.3 4.1 -2.7 -2.5 3.4 1.1 -4.8
1. Arunachal Pradesh -0.7 11.9 9.5 -3.0 7.7 22.8 20.5 5.4 -13.1 2.9 0.3 -15.7
2. Assam -0.2 2.4 1.0 -1.5 2.8 8.8 7.5 1.5 -2.8 2.4 1.0 -4.1
3. Himachal Pradesh 2.0 4.9 1.9 -1.0 1.6 4.1 1.2 -1.2 0.0 3.1 0.3 -2.8
4. Jammu and Kashmir -0.1 5.2 1.8 -3.5 -4.0 7.5 3.7 -7.9 -3.2 6.9 3.0 -7.2
5. Manipur -10.9 -1.9 -5.0 -14.0 -5.9 5.7 2.9 -8.7 -3.7 3.1 0.6 -6.2
6. Meghalaya -3.3 1.7 0.0 -5.0 -4.8 2.1 0.5 -6.4 -2.7 2.8 1.2 -4.3
7. Mizoram 1.5 7.3 4.5 -1.3 7.6 16.0 13.6 5.2 -7.6 0.8 -2.4 -10.8
8. Nagaland -4.2 2.6 -0.2 -7.0 -2.4 4.2 1.4 -5.2 -1.0 4.9 2.1 -3.8
9. Sikkim -7.0 0.4 -1.3 -8.7 -8.7 3.0 1.4 -10.4 -3.1 3.0 1.4 -4.7
10. Tripura -6.3 -0.2 -2.4 -8.5 -7.7 4.3 2.0 -10.0 -9.6 5.5 3.4 -11.6
11. Uttarakhand -0.9 2.2 0.5 -2.6 -1.6 2.9 1.0 -3.4 0.0 2.6 0.5 -2.2
All States# 0.1 2.2 0.7 -1.4 0.1 2.9 1.4 -1.4 -0.4 2.4 0.8 -1.9
Memo Item:
1. NCT Delhi -1.4 1.0 0.3 -2.2 -1.4 0.1 -0.6 -2.0 -1.6 0.1 -0.5 -2.2
2. Puducherry 0.8 2.5 0.3 -1.4 -0.4 2.1 0.0 -2.5 0.0 1.9 0.3 -1.7
BE: Budget Estimate RE: Revised Estimates. RD: Revenue Defi cit. PRD : Primary Revenue Defi cit PD: Primary Defi cit.
GFD: Gross Fiscal Defi cit. GSDP: Gross State Domestic Product. #: Data for All States are as per cent to GDP.
Note: Negative (-) sign indicates surplus .
Source: Based on Budget documents of state governments.
21State Finances : A Study of Budgets of 2015-16
Table III.7: Decomposition and Financing Pattern of Gross Fiscal Defi cit
(Per cent to GFD)
Item 2012-13 2013-14 2014-15 (RE) 2015-16 (BE)
1 2 3 4 5
Decomposition (1+2+3-4) 100.0 100.0 100.0 100.0
1. Revenue Defi cit -10.4 4.3 5.0 -16.1
2. Capital Outlay 98.8 89.0 90.8 110.4
3. Net Lending 11.6 6.9 5.0 5.8
4. Non-debt Capital Receipts 0.1 0.1 0.9 0.0
Financing (1 to 8) 100.0 100.0 100.0 100.0
1. Market Borrowings 74.8 66.0 62.9 79.1
2. Loans from Centre 0.9 0.2 3.2 4.3
3. Special Securities issued to NSSF/Small Savings -0.1 1.0 0.3 -1.0
4. Loans from LIC, NABARD, NCDC, SBI and Other Banks 2.7 1.9 1.6 3.4
5. Small Savings, Provident Funds, etc. 13.2 10.7 7.8 8.1
6. Reserve Funds 4.7 4.6 0.3 1.0
7. Deposits and Advances 15.8 11.4 5.2 -0.7
8. Others -12.0 4.1 18.6 5.7
BE : Budget Estimates. RE : Revised Estimates.
Note : 1. See Notes to Appendix Table 9.
2. 'Others' include Compensation and Other Bonds, Loans from Other Institutions, Appropriation to Contingency Fund, Inter-State
Settlement and Contingency Fund.
Source : Budget Documents of state governments.
of development revenue expenditure under social at a slower pace in 2015-16 than a year ago.
and economic services are budgeted to grow There has been a decline in projected (absolute
terms) revenue expenditure for important items
such as housing, urban development, soil and
water conservation, rural development, irrigation
and fl ood control and energy, which is a cause
for concern. On the other hand, committed
expenditure is budgeted to marginally increase in
2015-16, primarily due to rise in pension liabilities.
The increase in committed expenditure is higher
for special category states vis-a-vis the non-
special category.
3.14 Capital expenditure7 is budgeted to
decelerate in 2015-16. The major concern is not
only the deceleration of developmental capital
outlay on social and economic services, but an
absolute decline in capital outlay on services
7 Includes capital outlay and loans and advances by state governments.
22Fiscal Position of State Governments
Table III.8: Composition of Expenditure on
Social Services
(Revenue and Capital Accounts)
(Per cent to expenditure on social services)
Item 2011- 2012- 2013- 2014- 2015-
12 13 14 15 16
(RE) (BE)
1 2 3 4 5 6
Expenditure on Social
Services (a to l) 100.0 100.0 100.0 100.0 100.0
(a) Education, Sports,
Art and Culture 47.2 46.9 46.3 44.1 45.6
(b) Medical and Public
Health 10.5 10.6 10.5 11.5 11.6
(c) Family Welfare 1.6 1.8 1.7 2.2 2.2
(d) Water Supply and
Sanitation 4.6 4.5 4.7 5.8 6.0
(e) Housing 2.7 2.9 2.8 3.6 3.2
(f) Urban Development 6.5 7.0 6.4 6.9 6.3
(g) Welfare of SCs, ST
and OBCs 7.3 7.7 7.7 7.8 7.9
like family welfare, water supply and sanitation, (h) Labour and Labour
Welfare 0.9 1.1 1.1 1.1 1.1
housing, food storage and warehousing, industry (i) Social Security and
Welfare 10.6 10.6 11.2 10.2 10.5
and minerals and science, technology and
(j) Nutrition 3.4 3.2 3.2 2.9 2.8
environment. (k) Expenditure on
Natural Calamities 2.9 2.0 2.8 2.5 1.5
3.15 As a consequence, social sector (l) Others 1.7 1.8 1.5 1.4 1.4
expenditure (SSE), which had increased in RE: Revised Estimates. BE: Budget Estimates.
Source : Budget Documents of state governments.
2014-15, is budgeted to decline in 2015-16 in as
These features of SC states impart downward
many as 21 states (Chart III.2 and Table III.8).
rigidities to their GFD and debt ratios.
This does not augur well for the quality of human
development. Table III.9: Outstanding Liabilities of
State Governments
5. Outstanding Liabilities of State Governments
Year Amount Annual Growth Debt /GDP
(end-March) (` billion)
3.16 The outstanding liabilities of state (Per cent)
1 2 3 4
governments have experienced double digit
2012 19,939.2 9.0 22.8
growth since 2012-13 (Table III.9). However 2013 22,102.5 10.8 22.2
2014 24,712.6 11.8 21.9
the consolidated debt β GDP ratio remains 2015 (RE) 27,853.4 12.7 22.3
2016 (BE) 31,043.8 11.5 22.0
below the target recommended by FC-XIII
RE: Revised Estimates. BE: Budget Estimates.
for states (Table III.10). SC states continue to Source : 1. Budget Documents of state governments.
2. Combined Finance and Revenue Accounts of the Union
confront geographical constraints which not only and the State Governments in India, Comptroller and
Auditor General of India.
impact their expenditure through higher costs
3. Ministry of Finance, Government of India.
4. Reserve Bank records.
but also inhibit their revenue raising capacity,
5. Finance Accounts of the Union Government, Government
notwithstanding higher grants from the Centre. of India.
23State Finances : A Study of Budgets of 2015-16
Table III.10: State-wise Debt-GSDP Position
(Per cent)
State 2012-13 2013-14 2014-15 (RE) 2015-16 (BE)
1 2 3 4 5
I. Non-Special Category States
1. Andhra Pradesh 23.0 22.9 24.0 24.0
(28.9) (28.2) (27.6)
2. Bihar 26.4 25.8 25.2 25.3
(44.6) (43.0) (41.6)
3. Chhattisgarh 13.0 14.0 15.2 15.5
(23.0) (23.5) (23.9)
4. Goa 26.5 27.2 28.9 30.6
(30.8) (29.9) (29.1)
5. Gujarat 25.7 24.6 24.2 23.3
(28.1) (27.6) (27.1)
6. Haryana 19.8 20.5 21.5 21.3
(22.7) (22.8) (22.9)
7. Jharkhand 23.1 21.9 21.2 20.9
(27.8) (27.3) (26.9)
8. Karnataka 21.6 22.6 22.5 24.1
(25.7) (25.4) (25.2)
9. Kerala 31.6 31.7 28.5 28.1
(31.7) (30.7) (29.8)
10. Madhya Pradesh 24.8 22.2 21.5 20.3
(36.8) (36.0) (35.3)
11. Maharashtra 21.3 20.5 20.5 20.1
(25.8) (25.5) (25.3)
12. Odisha 19.6 18.5 19.1 18.8
(30.2) (29.8) (29.5)
13. Punjab 32.4 32.2 32.4 31.4
(41.0) (39.8) (38.7)
14. Rajasthan 25.2 24.8 25.8 26.0
(38.3) (37.3) (36.5)
15. Tamil Nadu 20.5 21.0 21.0 21.2
(24.8) (25.0) (25.2)
16. Uttar Pradesh 31.3 30.9 30.5 30.1
(45.1) (43.4) (41.9)
17. West Bengal 39.1 36.7 35.5 32.9
(37.7) (35.9) (34.3)
II. Special Category States
1. Arunachal Pradesh 36.1 34.8 39.1 4.3
(55.2) (52.5) (50.1)
2. Assam 21.4 19.4 19.3 20.1
(28.4) (28.4) (28.5)
3. Himachal Pradesh 39.9 41.0 40.3 38.8
(44.4) (42.1) (40.1)
4. Jammu and Kashmir 52.7 51.2 54.0 52.3
(53.6) (51.6) (49.3)
5. Manipur 53.7 49.5 44.6 41.9
(60.1) (57.0) (54.3)
6. Meghalaya 27.7 30.0 29.6 28.5
(32.3) (32.0) (31.7)
7. Mizoram 66.1 60.4 51.4 48.3
(82.9) (79.2) (74.8)
8. Nagaland 47.5 47.1 41.5 34.7
(54.9) (53.5) (52.3)
9. Sikkim 28.5 27.0 25.6 24.7
(62.1) (58.8) (55.9)
10. Tripura 33.8 32.6 30.0 29.6
(44.6) (44.2) (43.8)
11. Uttarakhand 24.8 24.7 24.5 24.4
(40.0) (38.5) (37.2)
All States # 22.2 21.9 22.3 22.0
(25.5) (24.8) (24.3)
Memo Item:
1. NCT Delhi 8.7 8.3 7.5 6.3
2. Puducherry 30.8 31.5 27.3 24.2
#: Expressed as percentages to GDP.
Note: Figures in the parentheses indicate FC-XIII recommended targets for the respective states. Also see βExplanatory Note on Data Sources and Methodologyβ.
Source: Same as that for Table III.9.
24Fiscal Position of State Governments
3.17 Despite the budgeted reduction in GFD- fresh investments by NSSF in state government
GDP ratio in 2015-16, outstanding liabilities would special securities. Similarly, statesβ dependence
increase on account of the phased takeover on loans from the Centre continued to decline.
of bonds issued by power discoms under the
3.19 The weighted average interest rate on
Financial Restructuring Plan (FRP). As the
state government securities moderated to 8.28
participating states in the FRP would have to
per cent in 2015-16 from 8.58 per cent in 2014-
progressively take over the entire bond liabilities of
15. The interest rate spreads over the benchmark
the discoms by extending guarantees by 2017-18,
10-year central government security were in the
their liabilities would increase in the coming years.
range of 21-109 basis points in 2015-16 vis-a-
In this regard, the new initiative of the Government
vis 20-57 basis points in 2014-15. The weighted
to fi nancially turnaround discoms β Ujjwal Discom
average spread at 50 basis points in 2015-16
Assurance Yojana (UDAY) β may likely alleviate
was higher than that in 2014-15 (38 basis points).
the non-performing asset (NPA) problem of banks,
Among the states, Odisha and Himachal Pradesh
but would increase the liabilities of participating
issued securities of less than 10 years maturity
states (See Box IV.1 in Chapter IV).
while Gujarat issued security for 15 years in 2015-
Composition of Debt
16.
3.18 Outstanding liabilities of statesβ reveal the
Maturity Profi le of State Government Securities
steady increase in market borrowings in recent
years (Tables III.11). A steady decline in net 3.20 At the end of March 2015 around 68.5
collections under NSSF combined with increasing per cent of state development loans (SDLs) were
repayment obligations has resulted in a decline in in the maturity bucket of fi ve years and above8
Table III.11: Composition of Outstanding Liabilities of State Governments
(As at end-March)
(Per cent)
Item 2011 2012 2013 2014 2015 RE 2016 BE
1 2 3 4 5 6 7
Total Liabilities (1 to 4) 100.0 100.0 100.0 100.0 100.0 100.0
1. Internal Debt 65.4 66.3 65.9 66.2 67.9 69.8
of which: (i) Market Loans 33.0 37.2 39.6 42.5 45.6 49.4
(ii) Special Securities Issued to NSSF 27.0 24.4 22.0 19.8 18.4 16.4
(iii) Loans from Banks and Fis 4.5 4.2 3.9 3.6 3.7 3.9
2. Loans and Advances from the Centre 7.9 7.2 6.6 5.9 5.7 5.5
3. Public Account (i to iii) 26.5 26.3 27.4 27.7 26.3 24.5
(i) State PF, etc. 12.5 12.7 12.6 12.4 12.0 11.6
(ii) Reserve Funds 5.6 4.6 6.0 6.0 5.4 5.0
(iii) Deposits & Advances 8.4 9.0 8.8 9.3 8.9 7.9
4. Contingency Fund 0.2 0.2 0.2 0.1 0.1 0.1
RE: Revised Estimate BE: Budget Estimate
Source: Same as that for Table III.9.
8 Effective from October 6, 2015, a separate limit for investment by foreign portfolio investors (FPIs) in the SDLs (besides the limits for FPI
investment in the Central Government securities) have been introduced. Through a phased increase, it is expected to reach 2 per cent of
outstanding stock amounting to an additional limit of about `500 billion by March 2018.
25State Finances : A Study of Budgets of 2015-16
(Table III.12). The increase in market borrowings Liquidity Position and Cash Management
of state governments since 2008-09 entails large
3.21 Several state governments have been
repayment obligations from 2017-18 onwards.
accumulating sizeable cash surpluses in recent
years. Liquidity pressures during 2015-16 were
Table III.12: Maturity Profi le of Outstanding
thus confi ned to only a few states. While statesβ
State Government Securities
intermediate treasury bills (ITB) balance was
(As at end-March 2015)
higher at `1492.42 billion as on March 31, 2016
State Per cent of Total
(provisional data) as against `841.85 billion a year
Amount Outstanding
ago, balances on auction treasury bills (ATB) were
0-1 1-3 3-5 5-7 Above
years years years years 7
lower at `383.28 billion as against `394.26 billion.
years
3.22 The magnitude of availment of ways
1 2 3 4 5 6
and means advances (WMA) and overdrafts
I. Non-Special Category
(ODs) was marginally higher in 2015-16 than in
1. Andhra Pradesh 2.0 7.2 19.6 20.4 50.8
the previous year notwithstanding intermittent
2. Bihar 3.3 5.2 16.9 17.4 57.2
3. Chhattisgarh 1.9 3.1 7.1 0.0 88.0 fl uctuations (Chart III.3). The WMA scheme
4. Goa 3.1 10.3 20.7 16.0 49.8 has been periodically reviewed, keeping in view
5. Gujarat 1.6 9.1 18.0 28.8 42.5 statesβ requirements, evolving fi scal, fi nancial and
6. Haryana 1.8 2.4 13.9 20.5 61.5
institutional developments as well as the objectives
7. Jharkhand 3.2 8.6 17.7 9.3 61.2
of monetary and fi scal management. In this context,
8. Karnataka 2.1 1.6 21.8 15.4 59.2
9. Kerala 2.9 9.6 15.2 20.0 52.2 an Advisory Committee (Chairman: Shri Sumit
10. Madhya Pradesh 4.0 7.9 23.9 18.3 45.9 Bose) reviewed the existing WMA scheme for state
11. Maharashtra 2.3 8.2 22.6 22.0 44.9
governments, particularly the formula for fi xation
12. Odisha 19.9 14.4 43.8 0.0 21.9
of limits, and submitted its report on November
13. Punjab 2.8 9.6 23.8 22.7 41.1
20, 2015. Based on the recommendations of the
14. Rajasthan 3.2 9.3 22.6 17.4 47.5
15. Tamil Nadu 1.8 6.0 19.5 21.3 51.4
16. Telengana 2.0 7.2 19.4 20.3 51.1
17. Uttar Pradesh 4.6 8.3 25.9 27.1 34.1
18. West Bengal 2.1 10.4 20.4 22.3 44.7
II. Special Category
1. Arunachal Pradesh 5.5 27.7 8.3 2.6 55.9
2. Assam 10.0 17.6 37.8 6.8 27.8
3. Himachal Pradesh 5.5 16.1 24.1 13.9 40.4
4. Jammu and Kashmir 2.3 17.0 15.6 34.3 30.7
5. Manipur 9.2 13.4 27.1 13.7 36.6
6. Meghalaya 7.3 15.9 17.8 16.7 42.3
7. Mizoram 7.0 15.8 15.5 28.2 33.6
8. Nagaland 7.3 14.9 22.0 18.1 37.7
9. Sikkim 6.5 22.8 33.8 2.2 34.8
10. Tripura 7.6 8.2 17.5 20.2 46.5
11. Uttarakhand 9.0 9.2 12.4 18.4 51.1
All States 2.8 8.2 20.5 21.2 47.3
Source: Reserve Bank records.
26Fiscal Position of State Governments
Committee, the aggregate WMA limit for all state years. Statesβ fi scal situation further weakened
governments were increased from `153.60 billion in 2014-15 (RE) as GFD and PD increased as
to `322.25 billion effective February 1, 2016. proportions to GDP. The overall fi scal performance
These limits would continue for two years. of states is expected to improve with the revenue
account turning back to surplus thus enabling a
6. Conclusion
reduction in GFD-GDP ratio during 2015-16. Such
3.23 The fi scal health of states deteriorated improvement, if sustained, would reduce the debt
in 2013-14 with their consolidated revenue burden of states and facilitate their progress on
account turning into a defi cit after a gap of three the path of fi scal consolidation.
27IV
Issues and Perspectives
From a medium term perspective, enduring improvements in the quality of statesβ finances hinges around the revival
of state level public enterprises (SLPEs) and improving the viability of Discoms, alongside the rationalisation of
centrally sponsored schemes. Strengthening of state finance commissions would facilitate resource empowerment
through greater devolution to local bodies. Issues with revenue implications for both the Centre and states have to be
addressed for enabling a smooth roll-out of the goods and services tax (GST).
4.1 States play an equally important role as enterprises as an instrument of public policy to
the Centre in securing overall fi scal consolidation, fulfi ll various socio-economic objectives (Mishra et
through efforts to optimise revenue while allocating al., 2014). A number of SLPEs were incorporated
expenditure in the most productive manner. In this
under various fi ve year plans. There are 849
regard, ensuring profi tability of state level public
operating state level public enterprises (SLPEs) in
enterprises (SLPEs) and improving the viability
India with about 18.0 lakh employees (GoI, 2012).
of debt-ridden state power distribution companies
Kerala occupies the premier position in terms
(Discoms) would go a long way in boosting non-
of the number of working SLPEs in the country
tax revenue. Furthermore, in the context of the
(Mishra et al., 2014). Major sectors of operation
recommendations of the fourteenth fi nance
of SLPEs are manufacturing, fi nance, power,
commission (FC-XIV) on devolution of resources
infrastructure, agriculture and allied services.
between the Centre and states, the issue of
rationalisation and prioritisation of centrally 4.3 SLPEs are expected to be fi nancially viable
sponsored schemes (CSS) assumes signifi cance, and generate surpluses for providing dividend
especially on socio-economic considerations. Yet
pay-outs to the state governments. Over the years,
another facet of quality enhancing medium-term
however, some of them have degenerated into
fi scal policy is the need for reinvigorating state
loss making entities or at best, low profi t earners.
fi nance commissions (SFCs) and aligning them
On an average, around 30 per cent of total SLPEs
with the central fi nance commission in order
are estimated to be incurring losses. This has
to ensure that the fl ow of resources permeate
adverse fi scal consequences since loss-making
to the lowest level of government (local bodies)
SLPEs depend on budgetary support, adversely
effi ciently. Finally, given that states have limited
impacting state fi nances instead of bolstering
manoeuvrability in raising tax revenues, the
them.
introduction of goods and services tax (GST)
would have a lasting impact on revenues of states.
4.4 The lacklustre performance of SLPEs
This chapter addresses these fi ve issues with a
can be attributed to both internal (management,
view to offering some perspectives on improving
excess manpower, lack of planning) as well as
state fi nances going forward.
external factors (market conditions and policy
1. Performance of State Level Public changes). These factors are compounded by
Enterprises (SLPEs) inadequate infrastructural and logistical aspects
4.2 As envisaged in Article 246 of the such as vintage equipment, outdated technologies/
Constitution of India, states started to set up public products, recurring breakdowns due to weak
28Issues and Perspectives
maintenance, lack of customer orientation and and Internal Audit Board (RIAB), which is engaged
inadequate checks on quality control. Moreover, mainly in performance monitoring, restructuring,
acute shortage of working capital, liquidity revival package implementation and development
constraints and higher operational costs also of industry information systems for the public sector
impair their performance. enterprises under its jurisdiction. The RIAB is also
involved in planning, design and implementation
Initiatives for Improving Performance
of one-time interventions in ailing public sector
4.5 Given signifi cant differences among states enterprises with the intent of comprehensively
in the levels of social and economic advancement, restructuring sick enterprises on a case-by-case
institutional structures, administrative capabilities, basis through capital upgradation, technology
geographical attributes and the like, there are no modernisation, reduction of debt burden, broad-
standardised solutions that can be prescribed basing the sources of fi nance and organisational
across states. Accordingly, public enterprise changes. In Tamil Nadu, an objective review of
reform will have to be modulated as per state- SLPEs is undertaken periodically through which
specifi c requirements (Gol, 2002). Apart from expansion/modernisation are prioritised, based
budgetary support, state governments need to on thrust areas and market conditions. Going
forward, states need to rigorously examine the
invest in research and development for enhancing
viability of loss-making SLPEs so as to decide
product quality while consumer preferences need
to be gauged through market surveys. whether to restructure these units or to go for sell-
offs.
4.6 Alternatively, disinvestment or transfer
of ownership to private entities may help in 2. State Power Utilities
improving performance. In this regard, providing
4.8 The power sector consisting of
the companyβs workforce with an ownership
generation, transmission and distribution is a
interest in the company through an employee
key infrastructural input for harnessing a stateβs
stock ownership plan (ESOP) is a viable option for
development potential. Empirically, a positive
SLPEs. The disinvestment process, if preceded
correlation between GDP growth and increase in
by the restructuring of SLPEs, may help in higher
power generation capacity of a country has been
price realisation on sale of equity. Yet another
observed (Ferguson, 2000). In the power sector in
important issue for SLPEs is to create an ambience
India, there have been impressive developments
for functioning effi ciently, based on commercial
in capacity generation, private sector participation,
considerations and without any political
expansion of electricity markets and restructuring
interference. This requires granting autonomy to
of state electricity boards (SEBs). Distribution and
these enterprises. Furthermore, lack of adequate
retail supply, however, remain the weakest link in
professional expertise in the accounting and
the entire value chain.
fi nance departments of these PSUs hinders the
maintenance of accounts with due diligence and Financial Performance
on the basis of established norms of accounting
4.9 The growth in total capital employed by the
(Gol, 2002).
power utilities peaked during 2013-14, with power
4.7 Several states have already undertaken utilities relying on market resources rather than
restructuring of SLPEs. Illustratively, the on state governments (Table IV.1). During 2012 to
Government of Kerala has set up a Restructuring 2014, the aggregate revenue from sale of power
29State Finances : A Study of Budgets of 2015-16
Electricity Act, 2003 mandated unbundling of the
Table IV.1: Financial Parameters of
Power Utilities (end-March) SEBs into separate and independent generation,
transmission and distribution companies
Sl. Parameters 2012 2013 2014
No. (Discoms). Reform initiatives were extended
1 2 3 4 5 through the Accelerated Power Development and
1 Capital Employed 4,634.80 5,034.28 5,632.91 Reforms Programme (APDRP) in 2002-03 and
(Rs. Billion)
Restructured-APDRP in 2008.
2 Share of Banks/FIs/ 85 92 97
Market (%)
4.11 In October, 2012 the Central government
3 Aggregate Revenue 2,412.17 2,886.41 3,292.78
promulgated a fi nancial restructuring plan (FRP)
(Rs. Billion)
4 Aggregate 26.63 25.45 22.70 for all participating state-owned Discoms which
Technical and had accumulated heavy losses and faced diffi culty
Commercial
in fi nancing operational losses. Under the FRP,
(AT&C) losses (%)
5. Collection 93.19 94.36 97.35 state governments are committed to ensuring
Effi ciency (%) that Discoms eliminate the chronic gap between
6. Average Cost of 4.55 5.04 5.15
ACS and ARR within the moratorium period.
Supply (without
subsidy) Rs./Kwh Eight states viz. Uttar Pradesh, Tamil Nadu,
7. Average Revenue 3.30 3.76 4.00 Rajasthan, Haryana, Bihar, Jharkhand, Telengana
Realised (without
and Andhra Pradesh signed the FRP but were
subsidy) Rs./Kwh
unable to curb losses and reduce the outstanding
8. Gap on Subsidy 0.94 0.85 0.73
Received (Rs./Kwh) debt of their power utilities. The inability of state
Source: Report on the performance of State Power Utilities for the governments to implement tariff hikes resulted in
year 2011-12 to 2013-14, Power Finance Corporation Limited.
growth of ACS outpacing that of ARR, imposing a
severe constraint on the debt servicing ability of
increased at an average rate of 18.3 per cent.
Discoms. Thus, FRPβs objective of gap elimination
The overall aggregate technical and commercial
proved diffi cult to achieve. In a bid to intensify
(AT&C) losses progressively declined during
the reform process, the Central government has
this period, refl ecting effi ciency gains alongside
approved amendment in the Electricity Act, 2003
buoyancy in overall collection in response to
in December, 2014 as contained in the Electricity
improvements in commercial operations. Both
(Amendment) Bill, 2014, which has been referred
average cost of supply (ACS) as well as average to the Parliamentary Standing Committee on
revenue realised (ARR) increased, while the gap Energy.
on subsidy received declined.
Higher Aggregate Technical and Commercial
Reforms in Power Utilities (AT&C) losses
4.10 State Electricity Boards (SEBs) are the 4.12 AT&C losses, consisting of technical and
dominant players in the power sector, being commercial losses, is a measure of the overall
responsible for generation, transmission and effi ciency of the distribution business. Technical
distribution. Deteriorating fi nancial health and losses are caused by power theft, overloading of
mounting losses and debt necessitated reforms existing lines due to higher demand for power, non-
in the power sector. The enactment of the upgradation of equipment, improper relocation
30Issues and Perspectives
of distribution substations and provisioning for
Power in Concurrent List
additional distribution transformers in the pipeline.
4.16 Electricity is a concurrent subject under the
Commercial losses arise due to low metering/
purview of states; as a result, oversight of Discoms
billing/collection effi ciency, causing persistent
is the domain of state governments. Consequently,
gaps between ACS and ARR. Furthermore, faulty
it is diffi cult for the Central Government to reform
meters, billing on average consumption basis,
Discoms directly. Nevertheless, key reforms
delays in revenue collections and unauthorised
undertaken over the years have largely been at the
usage of power by agricultural and rural consumers
initiative of the Central Government through policy
also contribute to heavy commercial losses. As a
guidance as well as providing suitable environment
result, AT&C losses are the most important vexing
for enabling regulations in consultations with
issue for Discoms, impairing the performance of
state governments. The situation has reached
the distribution sector.
an impasse, largely due to the inability of state
4.13 The overall AT&C losses moderated from
governments to implement commercial decisions.
26.4 per cent in 2010-11 to 22.7 per cent in
Reduction in Power Purchase Agreements (PPAs)
2013-14, but they are still at an elevated level. In
this context, Discom-wise AT&C loss reduction
4.17 Despite increase in power generation
trajectories have been fi nalised in consultation
capacities, the lower demand for energy by
with all state governments in June 2015.
Discoms due to their fragile fi nancial health is
Rise in Subsidy Dependence affecting Power Purchase Agreements (PPAs)
with power generating entities. The lower energy
4.14 One of the key reasons for the deteriorating
fi nances of distribution entities is delay and non- requirement of Discoms has resulted in fewer
payment of subsidies by state governments. These PPAs. Going forward, signing of new PPAs will
subsidies are meant to be paid to the Discoms to depend on the ability of Discoms to enter into long-
compensate for cheaper power supplies to certain term commitments. This implies that in the short-
segments promised by the state governments. term market, electricity generating companies will
In particular, the subsidy burden for distribution continue to remain exposed to volatile prices.
companies is estimated to have increased due to
Impact on Banks/ Financial Institutions (FIs)
higher costs and cheaper tariff for the farm sector.
4.18 The major source of capital employed
Under pricing and Reporting Lags
in power utilities is borrowing from banks, FIs,
4.15 Power distribution companies suffer from
and the market. The total capital employed
the fundamental problem of underpricing, with
by commercial banks in the power sector has
their selling price set signifi cantly lower than the
progressively increased over the years despite
procurement price for electricity. Historically, their
the weak fi nancial position of Discoms, which is
pricing decisions have been strongly infl uenced
partly attributed to the low levels of transparency
by the political agenda of state governments.
about their fi nancial viability. As a result, banks are
Furthermore, Discoms release their fi nancial
unable to properly evaluate the underlying credit
results with a considerable lag, which complicates
risk of their investments in Discoms, which has
the assessment of their fi nancial viability by resulted in a steady deterioration in their asset
potential lenders. quality.
31State Finances : A Study of Budgets of 2015-16
Box IV.1:
UDAY Scheme - Salient Features
Adoption of UDAY is optional for states. Those states who States will issue non-SLR state development loan (SDL)
adopt UDAY and perform as per operational milestones will bonds in the market or directly to the respective banks / FIs
be given additional / priority funding through Deendayal holding the Discom debt to the appropriate extent. States
Upadhyaya Gram Jyoti Yojana (DDUGJY), Integrated Power shall take over the future losses of Discoms in a graded
Development Scheme (IPDS), Power Sector Development manner and shall fund them.
Fund (PSDF) or other such schemes of Ministry of Power
State Discoms will comply with the Renewable Purchase
and Ministry of New and Renewable Energy. States not
Obligation (RPO) outstanding since 1st April, 2012, within a
meeting operational milestones, however, will be liable to period to be decided in consultation with Ministry of Power.
forfeiture of their claim on IPDS and DDUGJY grants. Such states shall also be supported with additional coal at
notifi ed prices and, in case of availability through higher
States shall take over 75 per cent of DISCOM debt as on
capacity utilisation, low cost power from NTPC and other
September 30, 2015 over two years β 50 per cent in 2015-16
Central Public Sector Undertakings (CPSUs).
and 25 per cent in 2016-17.
A tripartite agreement between the Union power ministry,
The part of DISCOM debt not taken over by the states shall state governments and the Discoms will be signed as part
be converted by banks / FIs into loans or bonds with an of the bailout plan.
interest rate not more than the bankβs base rate plus 0.1
References
per cent. Alternately, this debt may be fully or partly issued
by the DISCOM as state guaranteed DISCOM bonds at the (i) Press Trust of India, Press Release, November 05, 2015
prevailing market rates which shall be equal to or less than available at <http://pit.nic.in/newsiste/mainpage.aspx.
the bank base rate plus 0.1 per cent.
(ii) CRISIL, Press Release, November 6, 2015 available at
<www.crisil.com>
The Government of India will not include the debt taken over
by the states in the calculation of their fi scal defi cits in the (iii) Ministry of Power, Government of India, available at<
fi nancial years 2015-16 and 2016-17. http://powermin.nic.in>
Recent Initiatives enforcing fi nancial discipline through alignment
with state fi nances.
4.19 The central government announced Ujwal
Discom Assurance Yojana (UDAY) on November 4.20 Outstanding debt of Discoms has increased
05, 2015 in order to effect a turnaround in the from about Rs. 2.4 lakh crore in 2011-12 to about
fi nancial viability of state-owned Discoms and
`4.3 lakh crore in 2014-15, with interest rates in
improve operational effi ciency (Box IV.1). This
the range of 14-15 per cent. If states take over
initiative is expected to carry forward the mission
75 per cent of Discomβs debt under UDAY, it may
of 100 per cent rural electrifi cation, uninterrupted
reduce the lattersβ interest burden to around 8-9
power supply and sustain national priorities such as
per cent, thus improving overall effi ciency.
βMake in Indiaβ and βDigital Indiaβ. It is considered
4.21 In the past, FRPs had improved the
markedly different from earlier restructuring
liquidity of Discoms by providing a moratorium on
schemes β by 2017-18, it is intended to downsize
the Discom losses of eight states that participated debt repayments so that losses could be reduced
in the FRP by fi fty per cent. It empowers Discoms during the moratorium period. This could not
with the opportunity to break even in the next 2-3 deliver desired results, however, as there were no
years through four initiatives viz. (i) improving deterrents to non-compliance with loss-reduction
operational effi ciencies; (ii) reduction in cost of targets. In this context, UDAY is expected to
power; (iii) reduction in interest burden; and (iv) focus on both liquidity improvement and a sharp
32Issues and Perspectives
reduction in losses by lowering the interest burden balance sheet through an improvement in asset
which will provide Discoms an opportunity to start quality. With improvement in the fi nancial health
afresh. By making the states formally accountable, of state Discoms, counter party risk for banks
UDAY is likely to address the issue of effi ciency may also come down. It would, however, lead to
improvement and cost-refl ective tariff hikes, which a shrinkage in banks credit book by 1-7 per cent
is perceived to be a more comprehensive solution (depending on the share of state Discoms loans in
than FRPs. total credit book) over the fi nancial year 2016 and
2017 (ICRA, 2015).
4.22 Within 2 months of the announcement of
UDAY, a total of 15 out of 29 states /UTs have 3. Centrally Sponsored Schemes
voluntarily joined UDAY, covering 90 per cent of
4.25 With a view to engendering inclusive
the total debt of Discoms. These fi fteen states
growth and sustainable human development, the
are Uttar Pradesh, Bihar, Odisha, Maharashtra,
central government provides centrally sponsored
Andhra Pradesh, Himachal Pradesh, Madhya
schemes (CSS) to states. Such schemes have
Pradesh, Uttarakhand, Chhattisgarh, Jammu and
been implemented by states for more than fi ve
Kashmir, Jharkhand, Gujarat, Punjab, Haryana
decades, with special purpose grants intended
and Rajasthan.
to encourage and motivate state governments
4.23 There are, however, some areas of
to attain national goals and objectives. States
concern regarding the impact of UDAY on state
have, however, been raising concerns about
fi nances over the medium term. Although the
lack of fl exibility/portability in these schemes.
effect may not be instantaneous, state fi nances
Accordingly, the Planning Commission
may come under stress in the coming years on
constituted a Sub-Committee in March 2011
account of burgeoning liabilities due to takeover
(Chairman: Shri B.K. Chaturvedi) to suggest
of 75 per cent of the existing debt of Discoms.
restructuring of CSS to enhance its fl exibility
This would considerably reduce the fi scal space
and effi ciency. The main recommendations of
of states which might lead to curtailment of capital
the Sub-Committee are (i) restructuring of the
expenditure with an adverse impact on growth.
existing CSS into three categories; (ii) distribution
Furthermore, the interest burden of states would
of CSS funds on transparent, notifi ed guidelines;
infl ate with immediate effect, destabilizing fi scal
(iii) focusing only on major interventions required
outcomes and resulting in a deviation from the
by national development needs, (iv) fl exible
fi scal consolidation path as well as the targets set
and untied resources to states to meet their
by the FC-XIV. With UDAY coming into operation,
special needs; and (v) evaluation of the CSS by
βit is unlikely that states will be able to shrink their
a third party.
defi cits, which puts pressure on the Centre to
adjust moreβ (Rajan, 2016).
4.26 Pursuant to the recommendations of the
4.24 As of September 2015, banksβ exposure fourteenth fi nance commission (FC-XIV), central
to Discoms was in the range Rs 1.6-1.8 trillion, assistance to states has now been subsumed
which comprise about 30 per cent of banksβ in major CSS in view of the larger devolution of
exposure to the power sector (ICRA, 2015). In the divisible pool of tax revenue (42 per cent) to
this regard, UDAY holds the potential to reduce states. According to the Union Budget of 2015-16,
the vulnerability of banks by strengthening their there are 31 CSS that are fully sponsored by the
33State Finances : A Study of Budgets of 2015-16
central government while 24 CSS will henceforth sharp jump in the ratio of unconditional transfers
be run with the βchanged sharing patternβ. Though to states which the latter have been using at their
many CSS on state subjects are to be delinked own discretion.
from central support, those representing national
4.29 A Sub-Group of Chief Ministers on
priorities, especially poverty alleviation, will
Rationalisation of Centrally Sponsored Schemes
continue. Besides, the schemes mandated by legal
(Chairman: Shivraj Singh Chauhan) submitted its
obligations and those backed by cess collection
report to NITI Ayog in October 2015 recommending
will be fully supported.
the reduction of the number of CSS from 72 to
4.27 Consolidated state level data reveal that 27. The Centre would fully fund ten of the reduced
grants in aid have reduced by 0.8 per cent of GDP number of CSS and provide 60 per cent funding
from 2014-151. Although higher devolution will for the rest. The funding pattern will be 60:40
lead to an increased share in central taxes by 0.5 between the Centre and states for schemes which
per cent of GDP in 2015-16, the net impact of the are part of the national development agenda while
changed pattern of funding is a decline of 0.3 per it would be 90:10 for north-eastern and the three
cent in central transfer to states from the previous
Himalayan states. Accordingly, scheme guidelines
year, with adverse implication for statesβ spending
are required to be modifi ed to suit requirements of
on social infrastructure (see Chart III.1 & Chart
states and give them greater fl exibility to spend.
III.2 in Chapter III).
Way ahead
Downsizing of CSS
4.30 Implementation of CSS needs to be
4.28 Several factors are responsible for the
improved through a multi-faceted approach
rationalisation of CSS. These inter alia are (i) relying on professionalisation of public service
inability of the central ministries to control these delivery, quality management and innovative
schemes while attaining the stated objectives in use of IT. Moreover, there are several sectors
a cost effective manner and within the given time such as education and health in which states
frame; (ii) inability of central ministries to ensure are responsible but lack adequate resources.
accuracy of state governmentsβ claims on physical Apart from the Gadgil-Mukherjee formula (1991),
and fi nancial performance; (iii) narrow focus of the devolution of funds may be considered in a manner
central ministries on expenditure rather than on in which states should be given greater autonomy
attainment of objectives while state governments in opting for strategies that achieve socio-economic
emphasize release of assistance by the ministry priorities. Finally, the amount of funds in each
rather than ensuring the quality of expenditure; CSS which states can spend on their discretion
(iv) misuse of funds provided for vulnerable within the overall parameters of the main scheme
sectors and sections of the society and little (fl exi-funds) will provide them greater leeway in
accountability for shortfall in performance, poor allocation of funds. Thus, effective implementation
delivery of output and misappropriation of funds; of CSSs requires fi ne tuning of scheme guidelines
(v) legislative and procedural delays in release to local situations and requirements and involves
of funds by states leading to uncertainty about close coordination with related departments and
the availability of funds at the fi eld level; and (vi) agencies.
1 This is an outcome of reduction in central assistance to state plan scheme.
34Issues and Perspectives
4. State Finance Commissions is very low, a periodic review is essential. In this
regard, databases of taxes should be IT-enabled,
4.31 Articles 243(I) and 243(Y) of the
providing seamless access to the public.
Constitution of India provide for the creation of state
fi nance commissions (SFCs) on the lines of the Concerns
central fi nance commission (CFC) every fi ve years
4.33 SFCs were mandated to address the
for the devolution of resources from the state to
mismatch between the allocation of fi nancial
local governments, viz., panchayati raj institutions
powers and responsibilities between the state
(PRIs) and urban local bodies (ULBs). The basic
governments and local bodies. After two decades
function of the SFCs is to examine the principles
of formation, this objective remain unfulfi lled.
of distribution of resources between the states and
4.34 First of all, the constitution of the SFC is
local bodies, determine the taxes, duties, tolls and
a time-consuming process due to its formation
fees which are assigned or appropriated by the
local bodies as also the grants-in-aid to the PRIs by the state government in different stages.
and ULBs from the consolidated fund of the state. Considerable time is also taken in providing logistic
Furthermore, SFCs also make recommendations support, including staff, before the SFC becomes
on the measures required to improve the fi nancial fully functional. Every state is expected to set up
position of the local governments. the SFC within one year from the commencement
of the Act and continue to do so at the expiry of
Formation of SFCs
every fi fth year. While the constitution of the fourth
4.32 SFCs were fi rst constituted as early as SFC was due in 2009-10, only eleven states have
1994 (GoI, FC-XII). The range of recommendations done so with only two states having constituted
of the SFCs varies from fi nance to technology the fi fth SFC. Furthermore, while six states have
so that local bodies can undertake schemes for set up the third SFC, six have set up the second
development and social justice as also improve and one is yet to form its SFC (GoI, FC-XIV).
living standards. Apart from resource mobilisation, However, there were certain changes in the status
SFCs have stressed on the need for delivery of the SFC numbers during the subsequent period
of basic services by the local bodies to their (Table IV.3) .
residents. All the SFCs follow certain criteria
4.35 Secondly, there has been wide divergence
such as total population/ those below poverty in submission of both SFC reports and βaction
line (BPL), area, literacy gap, etc. on making their takenβ reports across states, rendering them
recommendations. Almost all SFCs emphasize bereft of meaningful inputs for the CFC. The
generation of own resources for local bodies recommended criteria for distribution vary across
rather than grants within an appropriate legal reports from simple and straight forward to
and administrative framework. SFCs have also complex and detailed formula-based approaches.
suggested an incentive-compatible scheme for Due to these reasons, CFCs could not base their
revenue mobilisation by providing performance recommendations on the SFC reports and hence
grants, matching grants and cash awards to suggested ad hoc grants for local bodies.
local bodies. Some SFCs have even included 4.36 Previous CFCs have pointed out that
incentives for own revenue generation in the follow-up actions on the SFC reports are either
devolution formula. SFCs also recommended in terms of legislative measures by several states
that since the recovery rate of taxes in the LBs or the recommendations are marked as βunder
35State Finances : A Study of Budgets of 2015-16
considerationβ while sometimes, state governments Strengthening SFCs
have rejected SFC reports without any reason. In
4.40 Some major states have accepted the
some states, while the recommendations were
recommendations of their respective SFCsβ and
accepted, no timeframe for implementation was
have implemented the awards and released
specifi ed while presenting to the legislature. Only
funds as per the recommendations (Table IV.2).
a few states have honoured their commitments Illustratively, the share of local bodies in taxes has
for the release of additional funds, based on the been provisioned for with a separate demand in
recommendations of SFCs. the budget. Although these steps are in the right
direction, much more needs to be done in order to
4.37 Most of the SFCs suffer from lack of
make the SFCs a robust mechanism for devolution
transparency. Neither the data provided by the
of funds and powers from the states to the local
state governments nor the reports of SFCs provide
bodies.
enough support for quantifi cation of supplementary
4.41 In order to synchronize the formation of
resources to be distributed uniformly across the
SFCs with the CFC, there is a need to appoint
states. As of now, there is no provision for verifying
the SFC at the expiration of every fi fth year. It is
the data in respect of fi scal performance of local
also necessary to ensure that action taken reports
governments by the CFC, unlike state government
are placed by state governments in the state
fi nances which are cross-checked by the CFC.
legislature in a time-bound manner.
4.38 All the SFC members are drawn only from
4.42 In order to discharge their duties, SFCs have
one discipline, viz., law, whereas other important
raised certain issues before FC-XIV for its
disciplines like economics, public administration,
consideration. These are classifi ed under two
public fi nance have been ignored (Mohanty et. al.,
broad heads: (a) discharge of SFCsβ functions and
2007). This undermines the status and authority
(b) recommendations of measures for
of the SFC, adversely affects its functioning and
supplementing local body resources. The issues
erodes the quality of its report.
under the fi rst category include (i) setting up of
4.39 Some chairpersons of SFCs have an independent national agency for support of
highlighted that βfi nancial recommendations a common platform for exchange of information
get acted upon while those dealing with between SFCs; (ii) designing simpler accounts and
systemic improvements are seldom addressedβ data formats; (iii) studies on governance issues
(GoI, FC-XIV). Moreover, implementation of with respect to local bodies; and (iv) supporting
recommendations of SFC gets adversely affected studies on standards of essential civic services
because of lack of proper coordination between to help future SFCs to assess the performance of
the fi nance department and the departments local bodies in their core functions. In the second
dealing with urban and rural affairs. Finally, category, the 2011 Census data was to be used
SFCs often complain that their work is adversely for allocating grants for knowledge transfer and
affected due to lack of reliable data on receipts capacity enhancement. There is also a request
and expenditure at the local body level. Although by the SFC for taking steps to sensitize the local
this issue was raised by previous CFCs, not much bodies on the purpose of Finance Commission
action has been taken. grants.
36Issues and Perspectives
Table IV.2: State Finance Commission Reports - Status
(Amount in Rs. crore)
Region/State No. of Commissions Date of submission of Amount of funds allocated Date of submission
constituted so far latest report as per the SFC Report of ATR
Andhra Pradesh 4 January 2008 (3rd) - -
Arunachal Pradesh 2 June 2014 - -
Assam 5 September 2014 1065.44 -
Bihar 5 January 2016 - -
Chhattisgarh 2 July 2011 2504.85+ July 2013
Goa - - - -
Gujarat 3 March 20, 2015 - -
Haryana# - 30th June 2014 560.12 13th March 2015
Himachal Pradesh 4 20th January, 2014 - -
Jammu and Kashmir 2 November 2010 -
Jharkhand - - - -
Karnataka 3 December 2008 33125.00 -
Kerala 5 March 2016 4958.95# March 2012
Madhya Pradesh 4 January 2012 5099.86+ -
Maharashtra 4 Jun-2006 - -
Manipur 3 December 2014 - December 17, 2015
Meghalaya Exempted under Article 243 M
Mizoram 1 December 2014 - -
Nagaland 2 October 2014 - -
NCT Delhi 4 2nd, December, 2015 - -
Odisha 4 September 2014 2310.34# -
Punjab 5 May 2011 (4th) - October 2013
Rajasthan 5 Interim Report for 2015-16 - 22 September, 2015
15 September 2015
Sikkim 4 May 2013 - -
Tamil Nadu 5 September, 2011 9348.40$ May, 2013
Tripura 4 - - -
Uttar Pradesh 4 December 2014 - November 2015
Uttarakhand 3 June 2011 - -
West Bengal 4 February 2016 - -
β-β : Not Available; $ 10 per cent of Net Stateβs Own Tax revenue; + Data pertain to 2014-15 (BE).
# Allocated in the Budget 2016-17.
Note: Data on amount of funds allocated pertain to 2015-16 (BE), unless otherwise specifi ed.
Source: Various state governments.
4.43 FC-XIV has opined that there is a need to bodiesβ receipt and expenditure through audited
have a reliable database on local body fi nances for accounts; and (ii) improvement in own resources.
making informed decisions. For this, compilation It also suggested that urban local bodies will have
and auditing of accounts is important. FC-XIV to measure and publish service level benchmarks
has also recommended performance grants to for basic services. These performance grants will
address (i) availability of reliable data on local be disbursed from the second year of the award
37State Finances : A Study of Budgets of 2015-16
period of FC-XIV, i.e., 2016-17 onwards in order indirect tax structure with hidden costs for trade
to give suffi cient time to state governments and and industry in the country. Despite several
also the local bodies to put in place a scheme reform measures, goods and services continue
and mechanism for implementation. Therefore, to be bogged down with several indirect taxes at
introduction of performance grants by the FC-XIV different stages of the value chain with signifi cant
will not only increase the accountability of the local tax cascading. Therefore, a need to introduce a
bodies but also ensure the timely availability of consumption-based destination-centric goods
reliable data to stakeholders for decision making. and services tax (GST) has been strongly felt.
Incidentally, the proposal for the introduction of
4.44 It was suggested by the thirteenth fi nance
GST was fi rst mooted in the Union Budget 2006-
commission (GoI, FC-XIII) that in order to bring
07 (GoI, 2015).
uniformity in reports to assess the needs and also
to prepare the reports in a systemic way, SFCs 4.47 The proposed dual GST envisages taxation
could use a uniform template prepared by FC-XIII. of supply of goods and services simultaneously
by the Centre and the states. GST is expected
4.45 It is observed by the FC-XIV that there
to simplify and harmonise the complex indirect
is wide variation in the assignment of functions,
tax regime in the country and reduce the cost
funds and functionaries to local bodies across
of production, thereby making industry more
states for which it is diffi cult for the CFCs to
competitive. By unifying the tax structure across
assess the needs of LBs in each states. In view
states, the new tax regime would pave the way for
of this, it is suggested that the needs of local
a common national market for goods and services.
bodies should be assessed by the SFCs in detail
Furthermore, GST will broaden the tax base and
as envisaged by the Constitution. Thus, in order
result in better tax compliance, enabled by a
to address the issue of mismatch of fi nancial
robust IT infrastructure developed for the purpose.
power and responsibilities between the states
Due to the seamless transfer of input tax credits
and LBs, a concerted and sincere effort from the
from one stage to another in the value chain, there
State governments is necessary to make SFCs a
is an in-built mechanism that would incentivize
meaningful body.
tax compliance by traders. In short, GST is the
5. GST Implementation
next step forward towards wide-ranging indirect
4.46 At present, the Constitution empowers tax reform in the country after the introduction of
the central government to levy excise duty on Value Added Tax (VAT).
manufacturing and service tax on the supply of
Status
services. Further, it empowers state governments
to levy sales tax or value added tax (VAT) on 4.48 After the Bill is passed in both houses of
the sale of goods. In addition, central sales tax Parliament, the Constitutional Amendment Bill
(CST) is levied on intra-state sale of goods by the will be sent to State Legislatures for ratifi cation,
central government, but collected and retained by which will require approval from at least 50 per
the exporting states. Furthermore, many states cent of the state legislatures before the proposed
levy an entry tax on the entry of goods in local amendments are brought into effect. For the levy
areas. Cumulatively, this has resulted in a complex of central goods and services tax (CGST), state
38Issues and Perspectives
Box IV.2:
Report on the Revenue Neutral Rate and Structure of Rates for the
Goods and Services Tax - Major Recommendations
The revenue neutral rate (RNR) is proposed to be in a range The GST Council will determine the combined GST rates
of 15-15.5 per cent (Centre and states combined) but with a that are allocated between the Centre and states which will
preference for the lower end of that range as (i) identifying refl ect their revenue requirements. For example, a standard
the exact RNR is premised on a number of assumptions; rate of 17 per cent would entail a rate of 8 and 9 per cent
for the Centre and states, respectively.
and (ii) the prerogative of deciding the precise numbers will
be that of the future GST Council. For the same reason, All taxes on inter-state trade (including the one per cent
not one but a few conditional rate structures are proposed additional duty) may be eliminated and replaced by one
that depend on policy choices made on exemptions and GST. Complexity and lags in GST implementation require
taxation of certain commodities such as precious metals. that any evaluation of the GST and any consequential
decisions should not be undertaken over short horizons but
While India should strive toward a one-rate structure as the over longer periods, say 1β2 years.
medium-term goal, a two-rate structure for the present is
All commodities would be brought under the purview
advised. In order to ensure that the standard rate is kept
of GST. In this regard, bringing alcohol and real estate
close to the RNR, the maximum possible tax base should
within the scope of GST would further the governmentβs
be taxed at the standard rate. Accordingly, the lower rates
objectives of improving governance and reducing black
would be kept around 12 per cent (Centre plus states) with
money generation without compromising on statesβ fi scal
standard rates varying between 17 and 18 per cent.
autonomy. Similarly, bringing electricity and petroleum within
the scope of the GST could make Indian manufacturing
The sin/demerit rate is fi xed at about 40 per cent (Centre
more competitive and eliminating the exemptions on health
plus states) which would apply to luxury cars, aerated
and education would make tax policy more consistent with
beverages, paan masala, and tobacco and tobacco
social policy objectives.
products (for the states). In this regard the decision of
Reference
the GST Council regarding exemptions/low taxation (for
example, on gold and precious metals, and area-based Government of India (2015): Report on the Revenue Neutral
exemptions) will be critical as more the exemptions that are Rate and Structure of Rates for the Goods and Services
retained, the higher will be the standard rate. Tax (GST), December 4.
goods and services tax (SGST) and integrated several working groups and committees for
goods and services tax (IGST), a set of three laws drafting GST Rules and processes.
would need to be enacted. While CGST and IGST
4.49 The Report on the Revenue Neutral Rate
laws would need to be enacted by Parliament,
and Structure of Rates for the Goods and Services
the SGST law would have to be enacted by each
Tax (Chairman - Dr. Arvind Subramanian) was
of the state legislatures. Key aspects of GST like
submitted on December 4, 2015 (Box IV.2). The
the tax rate, tax base, exemption limits, place of
Committee noted that implementing a new tax
supply rules for services, appropriate IGST model
encompassing both goods and services by the
etc., will be fi nalised on passage of the Bill (GoI,
2015). In this regard, the empowered committee Centre, 29 States and 2 Union Territories in a
(EC) of state fi nance ministers and the department large and complex federal system is perhaps
of revenue, Government of India, have constituted unprecedented in modern global tax history.
39State Finances : A Study of Budgets of 2015-16
Concerns and Challenges surpluses so that they are no longer a drag on the
state budget. While SLPEs need to improve their
4.50 From an implementation perspective, the
product quality through technological upgradation,
key pending issues on GST pertain to the provision
Discoms would have to simultaneously aim
of one per cent tax on inter-state commerce to
help manufacturing states, the exclusion of alcohol at narrowing the persistent gap between ACS
from GST and the absence of a dispute-resolution and ARR based on commercial considerations
authority. Also, the GST rules and rate will have and reduce their AT&C losses. Moreover, the
to be fi xed. In this regard, the government has rationalisation of CSS would motivate states
created a company called GST Network (GSTN) to to prioritize and raise the productivity of their
provide the technological inputs for facilitating the expenditure. Furthermore, reinvigorating SFCs
introduction of GST and connect the databases of would lead to greater synchronisation between
the Centre and states.
state governments and local bodies in devolution
6. Conclusion and utilisation of resources in the best traditions
of fi scal federalism. Finally, the implementation
4.51 Given the fi scal constraints and limited
of GST would make industry more competitive
maneuverability of states in augmenting tax
through dismantling of the complex indirect tax
revenue, institutional reforms/restructuring will
structure and would boost the tax revenue of
play a pivotal role in fi scal consolidation over
the medium-term by both enhancing non-tax states as a lasting solution. Cumulatively, these
revenue and pruning unproductive expenditure. measures are likely to propel states on the path
In this regard, reforms in SLPEs and Discoms of fi scal consolidation without compromising on
would ensure fi nancial viability and generate expenditure quality.
40Quality of Sub-national Public Expenditure
Annex 1: Dynamic panel estimation of expenditure composition and its impact on per capita
GSDP growth of NSC states
Model 1 Model 2 Model 3 Model 4
GFD/GSDP -1.05* -1.36* -1.49* -1.19*
(0.00) (0.00) (0.00) (0.00)
Debt/GSDP lagged 0.67*** 0.79** 1.01* 1.31*
(0.06) (0.02) (0.00) (0.00)
(Debt/GSDP)2 lagged -0.01*** -0.01** -0.01** -0.01**
(0.08) (0.02) (0.03) (0.01)
Capital Outlay / Total Expenditure 0.48*
(0.00)
Revenue Expenditure / Total Expenditure -0.54*
(0.00)
Development Expenditure / Total 0.55*
Expenditure (0.00)
Non-development Expenditure / Total -0.66*
Expenditure (0.00)
Constant 0.13 51.99* -37.65* 13.89**
(0.98) (0.00) (0.00) (0.04)
Number of observations 187 187 187 187
Arellano-Bond test@
AR(1) -3.04 -2.42 -2.51 -2.74
(0.00) (0.02) (0.01) (0.01)
AR(2) -1.42 -1.54 -1.71 -1.32
(0.15) (0.12) (0.09) (0.19)
*,**, and *** indicate signifi cance at 1%, 5% and 10% levels, respectively; Figures in parenthesis show the p-value.
@:Arellano-Bond test (1991) for AR(1) and AR(2) in fi rst difference with p-value in parenthesis.
The overall validity of instruments in each of the equations are checked using the Sargan test of over-identifying restrictions.
41State Finances : A Study of Budgets of 2015-16
Annex 2: Revenue Surplus Occasions (years) - NSC States
Year of
FRBM Pre-FRBM Post-FRBM
Goa 2006-07 2007-08 (-0.8), 2008-09 (-0.4), 2010-11 (-2), 2011-12 (-0.7)
Maharashtra 2005-06 2006-07 (-0.1), 2007-08 (-2.2), 2008-09 (-0.7), 2012-13 (-0.3)
Haryana 2005-06 2006-07 (-1.2), 2007-08 (-1.5)
Gujarat 2004-05 2006-07 (-0.6), 2007-08 (-0.7), 2011-12 (-0.5), 2012-13 (-0.8),
2013-14 (-0.6)
Tamil Nadu 2003-04 2005-06 (-0.8), 2006-07 (-0.9), 2007-08 (-1.3), 2008-09 (-0.4),
2011-12 (-0.2), 2012-13 (-0.2)
Kerala 2003-04
Punjab 2003-04
Karnataka 2002-03 1993-94 (-0.2), 1995-96 (-0.1) 2004-05 (-1), 2005-06 (-1.2), 2006-07 (-1.8), 2007-08 (-1.4),
2008-09 (-0.5), 2009-10 (-0.5), 2010-11 (-1.0), 2011-12 (-1.0),
2012-13 (-0.4), 2013-14 (-0.1)
Andhra Pradesh 2005-06 2006-07 (-0.9), 2008-09 (-0.2), 2009-10 (-0.3), 2010-11 (-0.4),
2011-12 (-0.5), 2012-13 (-0.1)
West Bengal 2010-11
Rajasthan 2005-06 2006-07 (-0.4), 2007-08 (-0.8), 2010-11 (-0.3), 2011-12 (-0.8),
2012-13 (-0.7)
Jharkhand 2007-08 2001-02 (-0.2), 2003-04 (-0.3) 2008-09 (-0.7), 2009-10 (-2.6), 2011-12 (-1.1), 2012-13 (-0.9),
2013-14 (-1.6)
Chhattisgarh 2005-06 2000-01 (-1), 2004-05 (-0.3) 2006-07 (-4), 2007-08 (-3.8), 2008-09 (-1.9), 2009-10 (-0.9),
2010-11 (-2.8), 2011-12 (-2.2), 2012-13 (-1.6)
Madhya Pradesh 2005-06 2004-05 (-1.5) 2006-07 (-2.3), 2007-08 (-3.2), 2008-09 (-2.1), 2009-10 (-2.4),
2010-11 (-2.6), 2011-12 (-3.2), 2012-13 (-2.1), 2013-14 (-1.4)
Odisha 2005-06 2006-07 (-2.2), 2007-08 (-3.3), 2008-09 (-2.3), 2009-10 (-0.7),
2010-11 (-2), 2011-12 (-2.5), 2012-13 (-2.3), 2013-14 (-1.2)
Uttar Pradesh 2003-04 2006-07 (-1.5), 2007-08 (-0.9), 2008-09 (-0.4), 2009-10
(-1.3), 2010-11 (-0.6), 2011-12 (-1.0), 2012-13 (-0.7), 2013-
14 (-1.2)
Bihar 2006-07 2004-05 (-1.4), 2005-06 (-0.1) 2007-08 (-4.1), 2008-09 (-3.1), 2009-10 (-1.8), 2010-11 (-3.1),
2011-12 (-2), 2012-13 (-1.7), 2013-14 (-1.9)
Note : Negative (-) sign indicate surplus.
42References
References
Bose, Sukanya and N. R. Bhanumurthy (2013),
Acosta-Ormaechea and Morozumi (2013),
βFiscal Multiplers for Indiaβ, National Institute of
βCan a Government Enhance Long-Run
Public Finance and Policy Working Paper No.
Growth by Changing the Composition of Public
2013-125, September.
Expenditure?β, IMF Working Paper WP/13, Fiscal
Affairs Department.
Busatto LM and Brunori D (2011), βThe quality of
public expenditure and its infl uence on economic
Albala-Bertrand, J., and E. Mamatzakis (2001), βIs
growth: evidences from the State of Rio Grande
Public Infrastructure Productive? Evidence from
do Sul (RS)β, Minerva Program, The George
Chileβ, Applied Economics Letters, Vol. 8.
Washington University.
Arellano, M. and S. Bond (1991), βSome Tests
Cabezon, E., Tumbarello, P., & Wu, Y. (2015),
of Specifi cation for Panel Data : Monte Carlo
ββStrengthening Fiscal Frameworks and Improving
Evidence and an Application to Employment
the Spending Mix in Small Statesββ, IMF Working
Equationsββ, The Review of Economic Studies,
Paper (15/124)
Vol. 58.
Corbacho, A. and G. Schwartz (2007), βFiscal
Baldacci, E., A. L. Hillman and N.C. Kojo
Responsibility Lawsβ, in M.S. Kumar and T. Ter-
(2004), βGrowth, Governance, and Fiscal Policy
Minassian (eds.), Promoting Fiscal Discipline,
Transmission Channels in Low-income Countriesβ,
International Monetary Fund, Washington.
European Journal of Political Economy, Elsevier,
Vol. 20, No.3. CRISIL, Press Release, November 6, 2015
available at <www.crisil.com>
Barro, Robert J. (1979), ββOn the Determination
of the Public Debtβ, Journal of Political Cullison, W.E. (1993), βPublic Investment and
Economy 87 (5). Economic Growthβ, Federal Reserve Bank of
Richmond, Economic Quarterly, 79(4).
Barro R., Sala-i-Matin X. (1992), βPublic Finance
in Models of Economic Growthβ, The Review of Daniel, J., J. Davis, M. Fouad and C. Van
Economic Studies, Vol. 59. Rijckeghem (2006), βFiscal Adjustment for
Stability and Growthβ, Pamphlet Series, No. 55,
Baum, N.D. and Lin, S. (1993), βThe Differential
International Monetary Fund, Washington.
Effects on Economic Growth of Government
Expenditures on Education, Welfare, and Devarajan S., V. Swaroop and H. Zou (1993), βThe
Defenseβ, Journal of Economic Development, Composition of Public Spending and Economic
Vol.18. Performanceββ, WPS 1082, World Bank.
Bhide, S. and M. Panda (2002), ββEvaluating Quality Devarajan S., Swaroop V., Zou H. (1996), βThe
of Budgets with a Composite Indexββ, Economic Composition of Public expenditure and Economic
and Political Weekly, Vol. 37, March 30. Growthβ, Journal of Monetary Economics, Vol. 37.
43State Finances : A Study of Budgets of 2015-16
Dholakia, A. (2005), βMeasuring Fiscal Government of India (2012), βState Level Public
Performance of States: An Alternative Approachββ, Enterprises Perform Well in Pro-Reform Statesβ,
Economic and Political Weekly, Vol. 40, July. Press Information Bureau.
Diamond J. (1989), βGovernment Expenditure and Government of India (2015), βReport on the
Economic Growth: An Empirical Investigationβ, Revenue Neutral Rate and Structure of Rates for
IMF Working Paper No. 89/45, Washington. the Goods and Services Tax (GST)ββ, December 4.
Government of India (2015), βReport of the select
Erden L and Holcombe RG (2005), βThe Effects
Committee on the Constitution (one hundred and
of Public Investment on Private Investment In
twenty second amendment bill)β, Rajya Sabha
Developing Economiesβ, Public Finance Review,
Secretariat, July.
Vol. 33, No. 5, September.
Government of India (2015), βReport of the
Espinoza R and Senhadji A (2011), βHow Strong
Fourteenth Finance Commissionββ, New Delhi.
are Fiscal Multipliers in the GCC? An Empirical
Investigationβ, IMF Working Paper 11/61, Fiscal Gupta, S., & Verhoeven, M. (2001), βThe effi ciency
Affairs Department. of government expenditure: experiences from
Africaββ, Journal of Policy Modeling, Vol 23(4).
Ferguson, R., Wilkinson, W. and Hill, R. (2000),
βElectricity use and economic developmentββ, Gupta, S., B. Clements, E. Baldacci, and C. Mulas-
Energy Policy, Vol. 28. Granados (2005), βFiscal Policy, Expenditure
Composition, and Growth in Low-Income
Gemmell, Kneller and Sanz (2014), βDoes
Countries,β Journal of International Money and
the Composition of Government Expenditure
Finance, Vol. 24.
Matter for Long-run GDP Levels?β, Working Paper
10 / 2014, Victoria Business School. Herrera, S., & Pang, G. (2005), βEffi ciency of Public
Spending in Developing Countries: An Effi ciency
Government of India (2002), βStudy group on
Frontier Approachββ, World Bank Policy Research
reforms in State public sector Undertakingsβ,
Working Paper, June.
Planning Commission, August.
Hong, Houqi and Sadiq Ahmed (2009),
Government of India (2004), βReport of the Twelfth
βGovernment Spending on Public Goods:
Finance Commissionββ, New Delhi.
Evidence on Growth and Povertyβ, Economic and
Political Weekly, Vol. 44, August.
Government of India (2009), βReport of the
Thirteenth Finance Commissionββ, New Delhi. ICRA Rating Features (2015), βRating Methodology
for Power Distribution Utilitiesββ, February.
Government of India (2011), βReport of the High
Level Expert Committee on Effi cient Management Im, K.S., Pesaran, M.H. and Shin, Y. (2003),
of Public Expenditureβ, Planning Commission, βTesting for Unit Roots in Heterogeneous Panelsββ,
New Delhi. Journal of Econometrics, Vol. 115.
44References
International Monetary Fund (2012), Morris, M. D. and M. B. McAlpin (1982), βMeasuring
βMacroeconomic Policy Frameworks for the Conditions of Indiaβs Poorββ, A Physical Quality
Resource-rich Developing Countriesββ, IMF Policy of Life Index, Promila and Company Publishers,
Paper, Washington. New Delhi.
Jain Rajeev and Prabhat Kumar (2013), βSize of Muhabir, J. (2011), βMeasuring the Effi ciency of
Government Expenditure Multipliers in India: A Local Government Expenditure: An FDH Analysis
Structural VAR Analysisβ, RBI Working Paper 07 of a Sample of South African Municipalitiesββ,
/ 2013, September. In 2012/13 Submission for the Division of
Revenue Technical Report, Financial and Fiscal
Kumar, Rajiv and Geetima Das Krishna (2015),
Commission.
βMacroeconomic Update: Impact of 7th Pay
Commissionβ, Centre for Policy Research, Musgrave, Richard A. (1959), βThe Theory of
November. Public Finance: A Study in Public Economyββ, New
York, McGraw-Hill.
Lucas, R. E. (1988), βOn the mechanics of
Economic Developmentββ, Journal of Monetary MβAmanja, D. and O. Morrissey (2005), βFiscal
Economics, Vol. 22. Policy and Economic Growth in Kenya,β CREDIT
Research Paper No. 05/06, United Kingdom:
Levin, A., Lin, C. F. and Chu, C. (2002), βUnit
University of Nottingham.
Root Tests in Panel Data : Asymptotic and Finite-
Sample Propertiesββ, Journal of Econometrics, Vol. Nijkamp, P. and J. Poot (2004), βMeta-Analysis of
108. the Effect of Fiscal Policies on Long-Run Growthβ,
European Journal of Political Economy, Vol. 20,
Mishra, R.K., Ch. Lakshmi Kumari and K Srinivas
No. 1.
(2014), βState Level Public Enterprises in India:
problems and prospectsβ, Academic foundation, Pattnaik R. K., Bose D., Bhattacharyya I. and
New Delhi. Chander J. (2005), βPublic Expenditure and
Emerging Fiscal Policy Scenario in Indiaββ, Papers
Misra, Brajamohan (2012), βFiscal Consolidation
presented at Public Finance Workshop, Banca
and Macro Economy: Indiaβs Experience with Rule-
dβItalia.
based Fiscal Policy and Post-crisis Challengesβ,
Paper presented at workshop, Banca dβItalia. Power Finance Corporation Ltd. (2013-14), Annual
Report.
Mohan, Rakesh (2008), βThe Growth Record of the
Indian Economy, 1950-2008: A Story of Sustained Press Trust of India, Press Release, November
Savings and Investmentβ, Reserve Bank of India, 05, 2015 available at <http://pit.nic.in/newsiste/
February. mainpage.aspx.
Mohanty, P. K., B.M. Misra and P. D. Jeromi (2007), Rajan, Raghuram (2016), βFinancial Reforms -
βMunicipal Finance in India: An Assessmentββ, Past and Presentββ β speech delivered on January
DRG Study No. 26, Reserve Bank of India. 29 at NCAER, New Delhi.
45State Finances : A Study of Budgets of 2015-16
Ramirez, M.D. (2004), βIs Public Infrastructure Singh RJ and Weber R. (1997), βThe Composition
Spending Productive in the Mexican case? A of Public Expenditure and Economic Growth:
Vector Error Correction Analysisβ, Journal of
Can anything be learned from Swiss Data?β,
International Trade and Economic Development,
Swiss Journal of Economics and Statistics, Vol.
Vol. 13(2).
133(3).
Rebelo, Sergio (1991), βLong-Run Policy Analysis
and Long-Run Growthββ, Journal of Political
Tanzi V and Zee H. (1997), βFiscal Policy and
Economy, Vol. 99, No. 3.
Long-Run Growthβ, IMF Staff Papers, Vol. 44, No.
Reserve Bank of India (2009-10), State Finances:
2 June.
A Study of Budgets.
Wagner, Adolph (1892), Grundlegung der
Romer, Paul M. (1986), βIncreasing Returns and
politischen Γkonomie, Part 1, Vol. 1, 3rd edn.,
Long-Run Growth,β Journal of Political Economy
Vol 94(5), October. Leipzig: Winter.
46Explanatory Note on Data Sources and Methodology
Explanatory Note on Data Sources and Methodology
Data Sources base 2004-05 and data from 2011-12 onwards
correspond to 2011-12 base, as published by
This Report is based on the receipts and
CSO.
expenditure data presented in the budget
documents of 29 state governments. Data in Methodology
respect of two Union Territories (UTs) with
The analysis of the expenditure data is
legislature, viz., National Capital Territory of
disaggregated into development and non-
Delhi (NCT Delhi) and Puducherry are provided
development expenditure. All expenditures
separately as memo item in all Statements.
relating to revenue account, capital outlay
The analysis conforms to the data presented in
and loans and advances are categorised into
state budgets and the accounting classifi cation
social services, economic services and general
thereof. The detailed Appendices are based on
services. While social and economic services
the classifi cation of receipts and expenditure of
constitute development expenditure, expenditure
individual states/UTs into revenue and capital
on general services is treated as non-development
accounts. Revenue expenditure and capital
expenditure. Thus, development expenditure
expenditure are further bifurcated into βPlanβ and
includes the development components of
βNon-Planβ. Some supplementary information
revenue expenditure, capital outlay and loans
regarding outstanding guarantees (contingent
and advances by state governments. Social
liabilities), expenditure on βwages and salariesβ
sector expenditure includes expenditure on social
and βoperations and maintenanceβ are obtained
services, rural development, and food storage
from state governments. Data on the outstanding
and warehousing under revenue expenditure,
statewise loans under the National Small Savings
capital outlay and loans and advances by state
Fund have been obtained from the Ministry of
governments.
Finance, Government of India. The outstanding
state-wise central loans have been sourced from The βAll Statesβ totals and national averages
the Union Finance Accounts. Besides, several pertain to 29 state governments, excluding NCT
items of data including availment of ways and Delhi and Puducherry.
means advances (WMA)/overdraft (OD), market
The term βAggregate Expenditureβ used in
borrowings, investment of state governments in
Chapter III is defi ned as summation of revenue
central government treasury bills and the data
expenditure, capital outlay and loans and
on the state development loans (SDLs) have
advances. The term βAggregate Disbursementβ
been taken from the Reserve Bank records. The
used in Appendix Tables and Statements is
statewise Gross State Domestic Product (GSDP)
summation of aggregate expenditure and debt
are at factor cost (current prices) and have been
repayments. The capital receipts provided in
sourced from the Central Statistics Offi ce (CSO).
Appendix Tables (consolidated) and Statements
This is supplemented by information received
(state-wise) and used in the analysis include
from the respective state governments and
public account items on a net basis while
GSDP estimates used in the budget documents
these are excluded from the respective capital
of the state governments. Wherever both the
expenditure. Percentage variation worked out in
CSO data as well as information from state
Appendix Tables and Statements may differ due
governments were not available, the data was
to rounding-off of fi gures.
estimated based on the previous three yearsβ
annual average growth rate. Data on Gross The data provided in Appendix III (capital
Domestic Product (GDP) are at current market receipts) and Appendix IV (capital expenditure)
prices. GDP data prior to 2011-12 correspond to are on a gross basis for all items, including public
47State Finances : A Study of Budgets of 2015-16
account items. Additionally, total capital receipts the budget documents of state governments. The
taking public account items on a net basis are present Report follows the same methodology
also given in Appendix III to have comparable for compilation of outstanding liabilities as given
data with those of the previous years. Total capital in 2007-08 Report and uses the same data
expenditure given in Appendix IV is exclusive of sources.
public account items.
The outstanding liabilities of the state
The βoverall defi cit/surplusβ in the appendices governments as at end-March 2014 have been
is equal to the sum of cash defi cit/ surplus directly taken from Comptroller and Auditor
(difference between the closing balance and
General (CAG) of Indiaβs βCombined Finance
opening balance), increase/decrease in cash
and Revenue Accounts of the Union and State
balance investment account and the increase/
Governments in Indiaβ (except for column nos.
decrease in WMA/ODs extended by the Reserve
2 to 5 and 15 in Statement 18). The outstanding
Bank.
liabilities position for end-March 2015 and
Methodology for Debt Statistics end- March 2016 have been derived by adding
annual fl ows [2014-15 (RE) and 2015-16 (BE)],
The Reserve Bank in its Report of 2005-
to the outstanding amounts for end-March 2014
06 budgets had compiled a data series on
and end-March 2015, respectively, in conformity
outstanding liabilities of state governments since
with recommended methodology of βReport of
1990-91. In the 2006-07 Report, a revised series of
the Working Group on Compilation of State
outstanding liabilities was published by including
Government Liabilitiesβ, 2005. Based on the
data on reserve funds, deposits and advances
statewise market loans (Statement 22), the
and contingency funds of state governments. In
the 2007-08 Report, a revised data series on maturity profi le of outstanding state government
outstanding liabilities of state governments was securities is provided in Statements 23 and
published from 2003-04 onwards based on the 24. These Statements also incorporate the
Combined Finance and Revenue Accounts of appropriation of liabilities of the three bifurcated
Union and state governments, Reserve Bank states (Bihar, Madhya Pradesh and Uttar
records, data received from the Ministry of Pradesh) to their respective newly formed states
Finance (Government of India), Union Finance (Jharkhand, Chhattisgarh and Uttarakhand) on
Accounts (Controller General of Accounts) and the basis of Government of India notifi cations.
Note : State-wise data on major fi scal indicators for the period 1980-81 to 2009-10 (BE) and state-
wise detailed data on the transactions in the revenue and capital account for the period 1990-91
to 2009-10 (BE) were presented in βHandbook of Statistics on State Government Financesβ
published by the Reserve Bank in July 2010. This Handbook, containing data on 28 states and two
UTs, was released in three versions, viz., printed, CD and web-based (www.rbi.org.in) version.
While the printed version covers data on major fi scal indicators for the period 1990-91 to 2009-10
(BE) and state-wise detailed data on the transactions in the revenue and capital account for the
period 2002-03 to 2009-10 (BE), the CD and web-based versions are more comprehensive than
printed version covering data from 1980-81 onwards on major fi scal indicators and state-wise
detailed data on the transactions in the revenue and capital account from 1990-91 onwards. CD
version also incorporates intelligent search features. The βState Finances: A Study of Budgetsβ
published since 2001-02 are available on the Reserve Bankβs website. The Reserve Bank of
India also released βCompendium CD of Articles on State Finances from 1950- 51 to 2010-11β
in July 2011. This Compendium CD provides access to all the articles published since 1950-51
to 2010-11 at one place.
48Appendix TablesAppendix Tables
Appendix Table 1: Major Defi cit Indicators of State Governments
(Amount in ` billion)
Year Gross Fiscal Revenue Primary Primary Revenue Net RBI Credit
Defi cit Defi cit Defi cit Defi cit to States
1 2 3 4 5 6
2000-01 879.2 553.2 369.4 43.3 -10.9
(4.0) (2.5) (1.7) (0.2) (-0.1)
2001-02 942.6 604.0 326.7 -12.0 34.5
(4.0) (2.6) (1.4) (-0.1) (0.1)
2002-03 997.3 571.8 307.0 -118.5 -31.0
(3.9) (2.3) (1.2) (-0.5) (-0.1)
2003-04 1,206.3 634.1 402.4 -169.9 2.9
(4.2) (2.2) (1.4) (-0.6) (0.0)
2004-05 1,077.7 391.6 213.5 -472.6 -27.1
(3.3) (1.2) (0.7) (-1.5) (-0.1)
2005-06 900.8 70.1 60.6 -770.1 -38.4
(2.4) (0.2) (0.2) (-2.1) (-0.1)
2006-07 775.1 -248.6 -156.7 -1,180.4 -11.5
(1.8) (-0.6) (-0.4) (-2.7) (0.0)
2007-08 754.5 -429.4 -243.8 -1,427.7 11.4
(1.5) (-0.9) (-0.5) (-2.9) (0.0)
2008-09 1,345.9 -126.7 316.3 -1,156.3 -16.1
(2.4) (-0.2) (0.6) (-2.1) (0.0)
2009-10 1,888.2 310.2 760.1 -817.9 1.9
(2.9) (0.5) (1.2) (-1.3) (0.0)
2010-11 1,614.6 -30.5 366.4 -1,278.7 25.2
(2.1) (0.0) (0.5) (-1.6) (0.0)
2011-12 1,683.5 -239.6 315.4 -1,607.8 -12.0
(1.9) (-0.3) (0.4) (-1.8) (0.0)
2012-13 1,954.7 -203.2 450.0 -1,707.9 -12.5
(2.0) (-0.2) (0.5) (-1.7) (0.0)
2013-14 2,478.5 105.6 789.5 -1,583.3 9.9
(2.2) (0.1) (0.7) (-1.4) (0.0)
2014-15(BE) 2,950.6 -543.0 1,018.6 -2,475.0 β
(2.3) (-0.4) (0.8) (-1.9) β
2014-15(RE) 3,654.6 183.4 1,726.0 -1,745.2 24.2
(2.9) (0.1) (1.4) (-1.4) β
2015-16(BE) 3,333.3 -537.2 1,141.8 -2,728.6 β
(2.4) (-0.4) (0.8) (-1.9) β
RE: Revised Estimates. BE: Budget Estimates. βββ : Not Available.
Note : 1. Negative (β) sign indicates surplus in defi cit indicators.
2. Revenue defi cit is the difference between revenue expenditure and revenue receipts.
3. Gross fi scal defi cit is aggregate expenditure (aggregate disbursement net of debt repayments) minus revenue receipts, non-debt capital receipts.
4. Primary defi cit is gross fi scal defi cit minus in interest payments.
5. Primary revenue defi cit is revenue defi cit minus in interest payments.
6. Figures in parentheses are as percentage to GDP.
7. The net RBI credit to state governments refers to variations in WMA/OD given to them by the RBI net of their incremental deposits with the RBI.
Source : Budget documents of the state governments, CAG for 2013-14 in respect of Jammu & Kashmir and Reserve Bank Records.
51State Finances : A Study of Budgets of 2015-16
52
ertneC
eht
morf
secruoseR
fo
refsnarT
dna
noituloveD
:2
elbaT
xidneppA
)noillib
`
ni
tnuomA(
80-7002
70-6002
60-5002
50-4002
40-3002
30-2002
20-1002
10-0002
metI
9
8
7
6
5
4
3
2
1
0.4151
9.2021
2.049
5.587
8.076
6.665
2.225
3.705
sexaT
lartneC
ni erahS
'setatS
.I
2.6801
5.449
5.767
2.365
3.805
7.154
0.624
9.273
)5 ot
1( ertneC
eht morf
stnarG
.II
5.594
1.204
5.782
6.792
5.452
7.691
2.391
9.061
semehcS
nalP
etatS
.1
7.22
0.12
2.22
2.31
5.31
2.71
7.21
3.11
semehcS
nalP lartneC
.2
7.812
3.471
1.331
9.301
4.89
5.68
4.38
3.17
semehcS
derosnopS
yllartneC
.3
2.6
1.3
4.3
9.2
9.2
2.2
1.2
3.1
semehcS
nalP
laicepS/CEN
.4
1.343
1.443
3.123
7.541
0.931
2.941
6.431
1.821
)c ot a( stnarG
nalP-noN
.5
9.791
2.771
5.081
4.67
5.57
0.28
6.29
4.08
stnarG
yrotutatS
)a
4.62
0.63
7.23
7.12
7.71
3.23
9.5
0.5
seitimalaC
larutaN
rof stnarG
)b
8.811
8.031
1.801
7.74
8.54
8.43
1.63
7.24
stnarG
yrotutatS-noN
nalP-noN
)c
5.27
2.75
0.18
8.852
7.852
3.862
0.442
1.781
)ii+i( ertneC
eht morf
snaoL
ssorG
.III
3.27
6.16
6.08
7.432
6.142
6.302
5.902
9.461
snaoL
nalP
)i
2.0
4.4-
3.0
1.42
2.71
7.46
4.43
1.22
*snaoL
nalP-noN
)ii
8.2762
6.4022
7.8871
5.7061
8.7341
6.6821
1.2911
3.7601
)III+II+I(
refsnarT
ssorG
.VI
tseretnI
dna snaoL
fo tnemyapeR
.V
8.991
9.772
9.212
2.795
0.804
4.965
3.024
7.073
)b+a( seitilibaiL
stnemyaP
8.18
0.641
4.18
6.653
3.911
0.272
0.531
8.301
ertneC
eht
ot snaoL
fo tnemyapeR
)a
snaoL
eht no stnemyaP
tseretnI
)b
9.711
8.131
5.131
6.042
7.882
4.792
3.582
8.662
ertneC
eht
morf
morf
secruoseR
fo refsnarT
teN
.IV
0.3742
8.6291
8.5751
3.0101
8.9201
1.717
8.177
6.696
)V-VI( ertneC
eht
)...dtnoC(
.licnuoC
nretsaE
htroN
:CEN
.ertneC
eht
morf
secnavdA
snaeM
dna syaW
edulcnI
: *
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
dna
stnemnrevog
etats
eht fo stnemucod
tegduB
: ecruoSAppendix Tables
53
).dlcnoC(
ertneC
eht
morf
secruoseR
fo
refsnarT
dna
noituloveD
:2
elbaT
xidneppA
)noillib
`
ni
tnuomA(
61-5102
51-4102
51-4102
41-3102
31-2102
21-1102
11-0102
01-9002
90-8002
metI
tegduB(
desiveR(
tegduB(
)stnuoccA(
)setamitsE
)setamitsE
)setamitsE
81
71
61
51
41
31
21
11
01
1
2.5584
2.2663
6.7583
7.2813
3.5192
9.5552
9.4912
1.0561
5.0161
sexaT
lartneC
ni erahS
'setatS
.I
8.2704
5.7164
1.1574
5.9502
8.6881
2.4681
0.5361
7.9051
2.9921
)5 ot
1( ertneC
eht morf
stnarG
.II
4.2302
2.4462
4.4072
7.998
2.619
7.678
4.677
5.807
8.436
semehcS
nalP
etatS
.1
0.911
5.531
6.471
3.43
7.62
4.72
9.53
5.46
6.62
semehcS
nalP lartneC
.2
3.878
2.788
4.688
0.054
8.454
2.134
3.823
8.852
9.852
semehcS
derosnopS
yllartneC
.3
1.9
9.7
1.9
2.4
2.5
8.6
4.5
0.7
2.5
semehcS
nalP
laicepS/CEN
.4
1.4301
8.249
6.679
3.176
0.484
0.225
1.984
9.074
8.373
)c ot a( stnarG
nalP-noN
.5
1.926
1.855
5.316
9.144
1.313
8.433
6.672
9.942
8.402
stnarG
yrotutatS
)a
9.57
4.86
8.36
6.16
6.55
1.23
2.25
0.53
1.92
seitimalaC
larutaN
rof stnarG
)b
0.923
2.613
3.992
9.761
3.511
0.551
3.061
0.681
9.931
stnarG
yrotutatS-noN
nalP-noN
)c
4.552
4.222
8.132
7.801
0.211
0.99
8.49
1.18
0.07
)ii+i( ertneC
eht morf
snaoL
ssorG
.III
7.632
3.812
8.032
4.801
0.211
2.89
0.501
1.28
0.07
snaoL
nalP
)i
7.81
0.4
9.0
3.0
1.0
8.0
2.01-
1.1-
1.0
*snaoL
nalP-noN
)ii
4.3819
0.2058
5.0488
0.1535
2.4194
1.9154
6.4293
9.0423
8.9792
)III+II+I(
refsnarT
ssorG
.VI
tseretnI
dna snaoL
fo tnemyapeR
.V
8.302
3.791
9.691
3.191
4.291
7.391
6.681
8.012
6.881
)b+a( seitilibaiL
stnemyaP
6.011
4.401
3.201
7.201
7.49
2.79
7.78
1.89
7.77
ertneC
eht
ot snaoL
fo tnemyapeR
)a
snaoL
eht no stnemyaP
tseretnI
)b
2.39
9.29
5.49
6.88
6.79
4.69
9.89
7.211
9.011
ertneC
eht
morf
morf
secruoseR
fo refsnarT
teN
.IV
6.9798
8.4038
6.3468
7.9515
8.1274
4.5234
1.8373
1.0303
2.1972
)V-VI( ertneC
eht
.licnuoC
nretsaE
htroN
:CEN
.ertneC
eht
morf
secnavdA
snaeM
dna syaW
edulcnI
: *
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
dna
stnemnrevog
etats
eht fo stnemucod
tegduB
: ecruoSState Finances : A Study of Budgets of 2015-16
Appendix Table 3: Development and Non-Development Expenditure
(Amount in ` billion)
Year Development* Non-Development* Others** Total
Plan Non Plan Total Plan Non Plan Total
1 2 3 4 5 6 7 8 9
2000-01 738.8 1317.9 2056.7 15.4 1152.9 1168.2 173.4 3398.4
(21.7) (38.8) (60.5) (0.5) (33.9) (34.4) (5.1) (100.0)
2001-02 739.1 1371.8 2110.9 18.6 1336.5 1355.1 220.9 3686.8
(20.0) (37.2) (57.3) (0.5) (36.3) (36.8) (6.0) (100.0)
2002-03 813.7 1404.3 2218.0 25.4 1470.2 1495.5 389.0 4102.5
(19.8) (34.2) (54.1) (0.6) (35.8) (36.5) (9.5) (100.0)
2003-04 952.4 1776.1 2728.5 26.1 1639.3 1665.4 749.2 5143.0
(18.5) (34.5) (53.1) (0.5) (31.9) (32.4) (14.6) (100.0)
2004-05 1123.8 1740.9 2864.7 27.3 1824.2 1851.5 818.0 5534.3
(20.3) (31.5) (51.8) (0.5) (33.0) (33.5) (14.8) (100.0)
2005-06 1401.0 1899.5 3300.4 38.8 1861.5 1900.2 416.2 5616.8
(24.9) (33.8) (58.8) (0.7) (33.1) (33.8) (7.4) (100.0)
2006-07 1825.5 2096.2 3921.7 52.0 2066.7 2118.7 532.4 6572.8
(27.8) (31.9) (59.7) (0.8) (31.4) (32.2) (8.1) (100.0)
2007-08 2242.4 2402.2 4644.6 64.2 2268.1 2332.3 546.3 7523.2
(29.8) (31.9) (61.7) (0.9) (30.1) (31.0) (7.3) (100.0)
2008-09 2747.8 2923.0 5670.9 69.2 2480.7 2549.8 602.7 8823.3
(31.1) (33.1) (64.3) (0.8) (28.1) (28.9) (6.8) (100.0)
2009-10 3009.5 3367.8 6377.3 87.9 2987.5 3075.5 700.5 10153.3
(29.6) (33.2) (62.8) (0.9) (29.4) (30.3) (6.9) (100.0)
2010-11 3492.2 3711.4 7203.5 84.3 3488.6 3572.9 810.9 11587.3
(30.1) (32.0) (62.2) (0.7) (30.1) (30.8) (7.0) (100.0)
2011-12 4049.9 4474.2 8524.1 106.0 3904.6 4010.6 981.5 13516.1
(30.0) (33.1) (63.1) (0.8) (28.9) (29.7) (7.3) (100.0)
2012-13 4666.8 5055.8 9722.6 118.2 4350.6 4468.8 1151.2 15342.5
(30.4) (33.0) (63.4) (0.8) (28.4) (29.1) (7.5) (100.0)
2013-14 5194.7 5569.9 10764.5 147.3 4898.2 5045.5 1251.4 17061.4
(30.4) (32.6) (63.1) (0.9) (28.7) (29.6) (7.3) (100.0)
2014-15(RE) 8396.0 6839.3 15235.3 265.8 5773.5 6039.4 1409.6 22684.3
(37.0) (30.1) (67.2) (1.2) (25.5) (26.6) (6.2) (100.0)
2015-16 (BE) $ 8950.1 6860.7 16078.0 319.1 6398.4 6894.8 1476.7 24449.5
(36.6) (28.1) (65.8) (1.3) (26.2) (28.2) (6.0) (100.0)
RE : Revised Estimates. BE : Budget Estimates.
* : Includes expenditure on revenue and capital account and loans and advances extended by state governments.
** : Includes Grants-in-Aid and Contributions (Compensation and Assignments to Local Bodies), Discharge of Internal Debt and Repayment of Loans to
the Centre.
$ : Plan-non plan break up for 2015-16 (BE) will not add up as the break up is not given by Jammu & Kashmir.
Note : Figures in parentheses are percentage to total.
Source: Budget documents of the state governments and CAG for 2013-14 in respect of Jammu & Kashmir.
54Appendix Tables
Appendix Table 4: Development Expenditure β Major Heads
(Amount in ` billion)
Item 2013-14 2014-15 2014-15 2015-16 Percentage variation
(Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Col.4 over Col.4 over Col.5 over
Col. 2 Col.3 Col. 4
1 2 3 4 5 6 7 8
I. Development Expenditure (Revenue and Capital) (A + B) 10,533.7 14,746.2 14,989.6 15,837.3 42.3 1.7 5.7
A. Social Services (1 to 11) 6,002.3 8,087.1 8,131.2 8,714.1 35.5 0.5 7.2
(55.8) (54.1) (53.4) (54.2)
1. Education, Sports, Art and Culture 2,808.6 3,705.5 3,612.4 4,002.7 28.6 -2.5 10.8
2. Medical and Public Health and Family Welfare 744.0 1,093.1 1,115.6 1,208.8 49.9 2.1 8.4
3. Water Supply and Sanitation 282.4 444.0 478.0 527.6 69.3 7.7 10.4
4. Housing 137.3 258.4 270.5 257.3 96.9 4.7 -4.9
5. Welfare of Scheduled Caste, Scheduled
Tribes and Other Backward Classes 468.3 648.7 640.8 696.9 36.8 -1.2 8.8
6. Labour and Labour welfare 69.5 91.1 94.2 99.5 35.5 3.5 5.6
7. Social Security and Welfare 679.1 819.5 839.9 920.4 23.7 2.5 9.6
8. Nutrition 195.7 224.8 239.1 243.0 22.2 6.4 1.6
9. Relief on account of Natural Calamities 169.4 134.8 202.2 132.4 19.4 50.0 -34.5
10. Urban development 390.5 597.3 569.5 554.6 45.9 -4.6 -2.6
11. Others* 57.5 70.1 68.8 70.9 19.7 -1.8 3.0
B. Economic Services (1 to 9) 4,531.4 6,659.1 6,858.4 7,123.2 51.4 3.0 3.9
(42.1) (44.6) (45.0) (44.3)
1. Agriculture and Allied Activities 878.1 1,351.6 1,333.2 1,353.4 51.8 -1.4 1.5
2. Rural Development 587.8 1,448.9 1,459.9 1,533.8 148.4 0.8 5.1
3. Special Area Programmes 70.4 107.0 108.4 99.3 54.0 1.4 -8.4
4. Irrigation and Flood Control 818.2 996.8 995.5 1,046.1 21.7 -0.1 5.1
5. Energy 873.4 1,101.9 1,236.3 1,226.5 41.5 12.2 -0.8
6. Industry and Minerals 159.5 225.3 230.4 262.5 44.5 2.3 13.9
7. Transport and Communications 931.1 1,092.3 1,177.2 1,232.3 26.4 7.8 4.7
8. Science, Technology and Environment 11.0 14.2 14.4 14.8 30.4 1.1 3.2
9. General Economic Services 201.7 321.1 303.1 354.5 50.3 -5.6 17.0
II. Loans and Advances by State Governments
for Development Purposes (A+B) 230.9 195.8 245.7 240.7 6.4 25.5 -2.0
A. Social Services (1 to 7) 66.7 68.5 67.7 70.1 1.5 -1.2 3.6
(0.6) (0.5) (0.4) (0.4)
1. Education, Sports, Art and Culture 0.3 0.3 0.3 0.1 -11.5 7.5 -56.7
2. Medical and Public Health 0.9 0.9 0.9 0.7 1.0 3.1 -29.8
3. Family Welfare β β β β β β β
4. Water Supply and Sanitation 15.5 18.2 17.1 18.8 10.3 -6.0 10.2
5. Housing 20.3 6.4 7.4 5.0 -63.2 15.6 -32.9
6. Government Servants (Housing) 11.6 15.4 14.7 14.5 26.5 -5.0 -1.3
7. Others @ 18.1 27.3 27.3 31.1 50.7 β 13.9
B. Economic Services (1 to 10) 164.2 127.3 178.0 170.5 8.4 39.8 -4.2
(1.5) (0.9) (1.2) (1.1)
1. Crop Husbandry 6.3 3.1 4.3 2.6 -31.7 41.2 -40.9
2. Soil and Water Conservation β β β β β β β
3. Food Storage and Warehousing 13.1 2.6 3.8 3.5 -71.1 43.4 -6.8
4. Co-operation 7.4 8.1 12.7 18.7 72.0 56.7 47.3
5. Major and Medium Irrigation, etc. 0.1 0.1 0.1 0.1 12.5 80.0 -22.2
6. Power Projects 92.9 77.6 114.9 103.7 23.7 48.1 -9.8
7. Village and Small Industries 2.3 1.1 1.4 1.6 -38.3 26.4 15.8
8. Other Industries and Minerals 5.1 4.3 5.3 4.2 4.4 23.7 -21.7
9. Rural Development 0.1 0.1 0.1 0.1 -17.9 -16.7 20.0
10. Others+ 36.9 30.4 35.4 36.2 -4.2 16.6 2.2
III. Total Development Expenditure (I + II) 10,764.5 14,942.0 15,235.3 16,078.0 41.5 2.0 5.5
(100.0) (100.0) (100.0) (100.0)
'β' : Nil/Negligible.
* : Include expenditure on information and publicity.
@ : Include urban development, social security and welfare, etc.
+ : Include forest, fi sheries, animal husbandry, road and water transport services, etc.
Note : Figures in parentheses are percentage to total development expenditure.
Source : Budget documents of the state governments and CAG for 2013-14 in respect of Jammu & Kashmir.
55State Finances : A Study of Budgets of 2015-16
Appendix Table 5: Non-Development Expenditure β Major Heads
(Amount in ` billion)
Item 2013-14 2014-15 2014-15 2015-16 Percentage Variation
(Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Col.4 Col.4 Col.5
over over over
Col. 2 Col.3 Col. 4
1 2 3 4 5 6 7 8
I. Non-Development Expenditure
(General Services) on Revenue Account (i to vi) 4,909.2 5,856.9 5,804.4 6,603.9 18.2 -0.9 13.8
i. Organs of State 140.7 201.4 212.7 188.4 51.3 5.6 -11.4
ii. Fiscal Services 205.7 237.9 235.0 244.8 14.2 -1.2 4.2
iii. Interest Payments and Servicing of Debt (1+2) 1,809.3 2,076.8 2,058.1 2,341.7 13.8 -0.9 13.8
1. Appropriation for reduction or avoidance of Debt 120.3 144.8 129.5 150.2 7.6 -10.6 16.0
2. Interest Payments 1,689.0 1,932.0 1,928.6 2,191.5 14.2 -0.2 13.6
iv. Administrative Services (1 to 5) 1,073.0 1,380.0 1,364.1 1,548.4 27.1 -1.2 13.5
1. Secretariat- General Services 44.5 117.7 114.1 70.2 156.6 -3.1 -38.5
2. District Administration 102.8 126.9 130.7 155.2 27.2 3.0 18.7
3. Police 715.2 846.2 852.9 933.0 19.3 0.8 9.4
4. Public Works 84.5 110.9 108.5 119.3 28.4 -2.2 9.9
5. Others * 126.1 178.3 157.9 270.8 25.2 -11.4 71.5
v. Pension 1,630.9 1,868.7 1,866.2 2,159.7 14.4 -0.1 15.7
vi. Miscellaneous General Services 49.7 92.1 68.2 120.8 37.3 -25.9 77.1
II. Non-Development Expenditure on 136.2 262.9 235.0 290.9 72.5 -10.6 23.8
Capital Account (1+2)
1. Non-Developmental (General Services) 127.2 254.7 227.4 280.6 78.8 -10.7 23.4
2. Loans for Non-Development Purposes (a+b) 9.1 8.2 7.5 10.4 -16.8 -7.5 37.9
a) Government Servants (other than housing) 8.5 6.6 6.7 7.9 -20.8 2.2 17.8
b) Miscellaneous 0.5 1.6 0.8 2.5 46.5 -48.5 207.8
III. Total Non-Development Expenditure (I + II) 5,045.5 6,119.8 6,039.4 6,894.8 19.7 -1.3 14.2
IV. III as percentage of Aggregate Receipts 29.9 27.4 27.3 28.1
V. III as percentage of Aggregate Disbursements 29.6 27.2 26.6 28.2
* Include expenditure on Public Service Commission, Treasury and Administration, Jails, etc.
Source : Budget documents of the state governments and CAG for 2013-14 in respect of Jammu & Kashmir.
56Appendix Tables
57
stnenopmoC
nalP-noN
dna
nalP
β
*erutidnepxE
tnempoleveD-noN
dna
tnempoleveD
:6
elbaT
xidneppA
)noillib
`
ni
tnuomA( 61-5102
51-4102
51-4102
41-3102
metI
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
LATOT
-NON
NALP
LATOT
-NON
NALP
LATOT
-NON
NALP
LATOT
-NON
NALP
NALP
NALP
NALP
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.944,42
6.276,41
4.233,9
3.486,22
2.859,31
1.627,8
6.364,22
3.808,31
3.556,8
4.160,71
4.376,11
0.883,5
)3
ot
1( stnemesrubsiD
etagerggA
0.870,61
7.068,6
1.059,8
3.532,51
3.938,6
0.693,8
0.249,41
4.146,6
6.003,8
5.467,01
9.965,5
7.491,5
)b
+
a(
erutidnepxE
tnempoleveD
.1
3.738,51
1.767,6
0.408,8
6.989,41
3.737,6
3.252,8
2.647,41
5.585,6
7.061,8
7.335,01
6.684,5
1.740,5
)ii + i(
erutidnepxE
tnempoleveD
tceriD
)a
2.321,7
6.646,2
3.333,4
4.858,6
9.797,2
5.060,4
1.956,6
4.956,2
7.999,3
4.135,4
1.301,2
2.824,2
secivreS
cimonocE
)i
1.417,8
4.021,4
6.074,4
2.131,8
4.939,3
7.191,4
1.780,8
2.629,3
9.061,4
3.200,6
4.383,3
9.816,2
secivreS
laicoS
)ii
tnempoleveD
rof secnavdA
dna
snaoL
)b
7.042
7.39
2.641
7.542
9.101
8.341
8.591
9.55
9.931
9.032
3.38
5.741
)ii +
i( sesopruP
5.071
2.37
8.69
0.871
1.18
9.69
3.721
3.33
0.49
2.461
1.56
1.99
secivreS
cimonocE
)i
1.07
5.02
4.94
7.76
8.02
9.64
5.86
6.22
9.54
7.66
2.81
5.84
secivreS
laicoS
)ii
8.498,6
4.893,6
1.913
4.930,6
5.377,5
8.562
8.911,6
8.728,5
0.292
5.540,5
2.898,4
3.741
)b +
a(
erutidnepxE
tnempoleveD-noN
.2
4.488,6
4.983,6
7.713
8.130,6
9.667,5
9.462
6.111,6
2.028,5
4.192
4.630,5
7.988,4
8.641
erutidnepxE
tnempoleveD-noN
tceriD
)a
4.01
0.9
4.1
5.7
6.6
9.0
2.8
6.7
6.0
1.9
6.8
5.0
sesopruP
tnempoleveD-noN
rof secnavdA
dna
snaoL
)b
7.674,1
5.314,1
2.36
6.904,1
4.543,1
2.46
8.104,1
1.933,1
7.26
4.152,1
4.502,1
1.64
)c ot
a(
srehtO
.3
6.011
6.011
β
4.401
4.401
β
3.201
3.201
β
7.201
7.201
β
ertneC
eht
ot snaoL
fo
tnemyapeR
)a
0.728
0.728
β
0.567
0.567
β
5.967
5.967
β
8.517
8.517
β
tbeD
lanretnI
fo
egrahcsiD
)b
1.563
1.563
β
6.843
6.843
β
7.843
7.843
β
9.523
9.523
β
snaoL
tekraM
:hcihw
fo
2.935
0.674
2.36
3.045
1.674
2.46
0.035
2.764
7.26
9.234
9.683
1.64
snoitubirtnoC
dna diA-ni-stnarG
)c
:hcihw
fo
2.935
0.674
2.36
3.045
1.674
2.46
0.035
2.764
7.26
7.534
7.983
1.64
dna
seidoB
lacoL
ot
stnemngissA
dna
noitasnepmoC
snoitutitsnI
jaR
itayahcnaP
.tnuoccA
latipaC
dna
euneveR
htob
no erutidnepxe
edulcnI
:
*
.elbigilgeN/liN
:
'β'
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
dna
stnemnrevog
etats
eht
fo stnemucod
tegduB
:
ecruoSState Finances : A Study of Budgets of 2015-16
58
*erutidnepxE
rotceS
laicoS
fo
noitisopmoC
:7
elbaT
xidneppA
)noillib
`
ni
tnuomA(
80-7002
70-6002
60-5002
50-4002
40-3002
30-2002
20-1002
10-0002
metI
9
8
7
6
5
4
3
2
1
2.182,2
3.659,1
7.776,1
0.064,1
0.223,1
7.812,1
4.361,1
7.331,1
)ii
+ i( erutidnepxE
euneveR
.1
7.730,2
6.547,1
5.584,1
4.092,1
2.571,1
7.090,1
5.350,1
8.320,1
)l ot a(
secivreS
laicoS
)i(
8.700,1
8.598
5.187
7.396
8.246
5.216
0.195
8.785
erutluC
dna
trA
,stropS
,noitacudE
)a(
9.812
6.191
4.571
3.251
2.141
4.431
4.921
3.621
htlaeH
cilbuP
dna
lacideM
)b(
6.53
4.03
6.72
3.52
7.42
7.32
7.42
4.32
erafleW
ylimaF
)c(
1.89
7.78
6.48
2.96
8.46
0.55
2.55
0.45
noitatinaS
dna
ylppuS
retaW
)d(
2.04
8.82
0.02
7.81
4.71
4.41
4.21
9.21
gnisuoH
)e(
2.241
7.49
9.64
3.84
2.93
4.53
2.23
8.62
tnempoleveD
nabrU
)f(
3.641
0.811
6.401
9.19
0.77
1.17
8.76
0.16
sCBO
dna
sTS ,sCS
fo
erafleW
)g(
5.32
8.42
6.61
8.41
8.31
9.11
3.11
0.21
erafleW
ruobaL
dna
ruobaL
)h(
1.671
2.921
3.29
1.08
0.17
2.16
4.05
0.94
erafleW
dna ytiruceS
laicoS
)i(
8.16
4.84
2.04
3.23
4.82
5.22
5.22
8.42
noitirtuN
)j(
6.66
6.87
7.58
7.55
6.64
5.14
1.05
8.83
seitimalaC
larutaN
no
erutidnepxE
)k(
6.02
4.71
1.01
1.8
2.8
8.6
6.6
1.7
srehtO
)l(
6.342
7.012
2.291
7.961
9.641
9.721
9.901
8.901
)b +
a( secivreS
cimonocE
)ii(
0.222
2.391
9.571
9.351
5.531
5.711
9.101
1.001
tnempoleveD
laruR
)a(
5.12
6.71
4.61
7.51
4.11
4.01
0.8
7.9
gnisuoheraW
dna
egarotS
dooF
)b(
2.892
2.622
6.281
7.551
7.111
3.09
7.69
1.58
)ii
+ i(
yaltuO
latipaC
.2
9.922
9.371
4.141
9.611
9.29
0.27
8.75
5.35
)i ot a(
secivreS
laicoS
)i(
6.33
8.32
2.71
8.9
5.6
9.4
1.5
7.3
erutluC
dna
trA
,stropS
,noitacudE
)a(
2.43
3.13
2.71
1.01
2.9
2.6
0.6
0.6
htlaeH
cilbuP
dna
lacideM
)b(
4.0
3.0
β
β
2.0
1.0
3.0
4.0
erafleW
ylimaF
)c(
4.39
5.66
8.15
8.15
9.53
5.53
9.62
7.03
noitatinaS
dna
ylppuS
retaW
)d(
1.01
8.9
4.7
8.9
0.6
4.6
1.5
9.4
gnisuoH
)e(
6.42
7.71
0.32
7.71
4.81
7.4
5.3
2.3
tnempoleveD
nabrU
)f(
4.81
2.71
4.21
3.9
8.7
2.6
2.4
9.3
sCBO
dna
sTS ,sCS
fo
erafleW
)g(
2.5
7.2
4.2
6.1
6.1
9.0
4.0
2.0
erafleW
dna ytiruceS
laicoS
)h(
0.01
6.4
8.9
7.6
4.7
2.7
2.6
4.0
srehtO
)i(
3.86
2.25
2.14
9.83
8.81
2.81
9.83
6.13
)b +
a( secivreS
cimonocE
)ii(
3.75
9.35
5.93
1.03
2.32
2.22
8.22
8.21
tnempoleveD
laruR
)a(
0.11
7.1-
7.1
7.8
4.4-
0.4-
1.61
8.81
gnisuoheraW
dna
egarotS
dooF
)b(
3.57
5.74
9.33
0.52
9.72
5.72
4.23
5.03
)ii
+
i(
stnemnrevoG
etatS
yb secnavdA
dna
snaoL
.3
8.16
3.63
4.03
9.12
8.72
4.72
6.82
8.92
)d
ot a(
secivreS
laicoS
)i(
2.0
2.0
5.0
3.1
5.0
3.0
β
β
noitacudE
)a(
8.23
9.8
5.7
4.7
1.8
4.5
1.5
4.4
gnisuoH
)b(
5.4
3.4
6.3
2.3
6.5
9.7
5.9
5.11
)stnavres
tnemnrevoG(
gnisuoH
)c(
2.42
9.22
8.81
0.01
7.31
7.31
0.41
9.31
srehtO
)d(
5.31
2.11
5.3
2.3
β
2.0
8.3
7.0
)b +
a( secivreS
cimonocE
)ii(
β
1.0
1.0
1.0
β
β
β
β
tnempoleveD
laruR
)a(
4.31
1.11
5.3
1.3
β
2.0
8.3
7.0
gnisuoheraW
dna
egarotS
dooF
)b(
7.456,2
9.922,2
3.498,1
8.046,1
6.164,1
5.633,1
5.292,1
2.942,1
)3+2+1(
erutidnepxE
rotceS
laicoS
latoT
)...dtnoC(Appendix Tables
59
).dlcnoC(
*erutidnepxE
rotceS
laicoS
fo
noitisopmoC
:7
elbaT
xidneppA
)noillib
`
ni
tnuomA(
61-5102
51-4102
41-3102
31-2102
21-1102
11-0102
01-9002
90-8002
metI
)EB(
)ER(
71
61
51
41
31
21
11
01
1
3.022,9
1.266,8
9.201,6
8.663,5
5.876,4
2.920,4
7.884,3
3.158,2
)ii
+ i( erutidnepxE
euneveR
.1
6.138,7
4.292,7
2.105,5
6.358,4
4.652,4
1.756,3
5.580,3
7.255,2
)l ot a(
secivreS
laicoS
)i(
7.458,3
7.984,3
3.537,2
0.454,2
7.061,2
2.678,1
7.615,1
8.212,1
erutluC
dna
trA
,stropS
,noitacudE
)a(
6.878
4.518
9.365
4.605
5.934
3.183
1.623
6.162
htlaeH
cilbuP
dna
lacideM
)b(
2.881
6.161
4.101
3.59
8.57
7.76
9.65
9.44
erafleW
ylimaF
)c(
8.613
5.432
5.641
3.421
0.721
1.511
2.501
8.201
noitatinaS
dna
ylppuS
retaW
)d(
1.571
4.381
1.78
4.68
8.66
3.46
4.75
9.85
gnisuoH
)e(
1.524
6.374
3.513
4.382
4.822
5.612
4.722
7.712
tnempoleveD
nabrU
)f(
2.106
1.655
9.624
4.083
0.903
0.352
4.902
5.081
sCBO
dna
sTS ,sCS
fo
erafleW
)g(
5.99
2.49
5.96
2.95
8.34
3.04
0.43
4.82
erafleW
ruobaL
dna
ruobaL
)h(
2.478
9.997
4.556
6.555
1.584
3.783
5.823
3.252
erafleW
dna ytiruceS
laicoS
)i(
0.342
1.932
7.591
6.961
9.651
5.431
3.211
8.48
noitirtuN
)j(
4.231
2.202
4.961
8.901
9.631
6.78
1.48
3.38
seitimalaC
larutaN
no
erutidnepxE
)k(
0.34
6.24
7.43
3.92
6.62
4.33
4.72
8.42
srehtO
)l(
7.883,1
7.963,1
7.106
1.315
1.224
1.273
2.304
6.892
)b +
a( secivreS
cimonocE
)ii(
4.232,1
5.432,1
7.784
7.344
2.273
9.523
3.653
5.562
tnempoleveD
laruR
)a(
3.651
1.531
0.411
4.96
9.94
1.64
9.64
1.33
gnisuoheraW
dna
egarotS
dooF
)b(
8.302,1
9.780,1
2.906
6.465
0.954
5.704
6.034
9.483
)ii
+ i(
yaltuO
latipaC
.2
5.288
7.838
1.105
9.234
4.343
0.413
7.392
7.192
)i ot a(
secivreS
laicoS
)i(
0.841
7.221
3.37
7.75
8.54
6.05
5.14
9.54
erutluC
dna
trA
,stropS
,noitacudE
)a(
7.041
4.321
2.67
7.06
1.05
4.24
3.93
3.63
htlaeH
cilbuP
dna
lacideM
)b(
4.1
2.51
5.2
6.0
7.0
1.0
1.1
7.0
erafleW
ylimaF
)c(
8.012
5.342
8.531
5.411
3.98
1.88
6.101
3.311
noitatinaS
dna
ylppuS
retaW
)d(
2.28
0.78
3.05
6.34
7.13
4.03
5.01
1.21
gnisuoH
)e(
6.921
0.69
2.57
7.09
0.47
0.25
0.26
5.14
tnempoleveD
nabrU
)f(
7.59
7.48
4.14
6.23
7.13
6.82
7.02
4.42
sCBO
dna
sTS ,sCS
fo
erafleW
)g(
2.64
0.04
6.32
2.51
2.01
7.11
0.8
9.7
erafleW
dna ytiruceS
laicoS
)h(
9.72
2.62
8.22
3.71
0.01
2.01
1.9
4.9
srehtO
)i(
3.123
1.942
1.801
7.131
7.511
5.39
9.631
2.39
)b +
a( secivreS
cimonocE
)ii(
4.103
3.522
1.001
5.99
7.99
4.29
3.07
3.85
tnempoleveD
laruR
)a(
9.91
8.32
1.8
1.23
9.51
0.1
6.66
9.43
gnisuoheraW
dna
egarotS
dooF
)b(
7.37
5.17
8.97
1.89
2.89
7.28
1.87
2.97
)ii
+
i(
stnemnrevoG
etatS
yb secnavdA
dna
snaoL
.3
1.07
7.76
7.66
1.57
8.27
0.37
3.85
9.36
)d
ot a(
secivreS
laicoS
)i(
1.0
3.0
3.0
4.0
8.0
7.0
1.0
1.0
noitacudE
)a(
0.5
4.7
3.02
2.71
9.81
5.21
8.7
2.33
gnisuoH
)b(
5.41
7.41
6.11
5.9
1.8
9.6
7.5
9.5
)stnavres
tnemnrevoG(
gnisuoH
)c(
6.05
3.54
5.43
1.84
0.54
9.25
7.44
7.42
srehtO
)d(
6.3
8.3
1.31
0.32
4.52
7.9
8.91
3.51
)b +
a( secivreS
cimonocE
)ii(
1.0
1.0
1.0
1.0
1.0
β
β
β
tnempoleveD
laruR
)a(
5.3
8.3
1.31
9.22
3.52
7.9
7.91
2.51
gnisuoheraW
dna
egarotS
dooF
)b(
8.794,01
5.128,9
0.297,6
4.920,6
7.532,5
4.915,4
4.799,3
4.513,3
)3+2+1(
erutidnepxE
rotceS
laicoS
latoT
.elbigilgeN/elbaliava
toN
:
'β'
.setamitsE
tegduB
:EB
.setamitsE
desiveR
:ER
.stnemnrevog
etats
eht
yb
secnavda
dna
snaol
dna
yaltuo
latipac
,erutidnepxe
eunever
rednu
gnisuoheraw
dna
egarots
doof
dna
tnempoleved
larur
,secivres
laicos
no
erutidnepxe
sedulcnI
: *
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
dna
stnemnrevog
etats
eht
fo stnemucod
tegduB
:
ecruoSState Finances : A Study of Budgets of 2015-16
60
ticfi
eD
lacsiF
ssorG
fo
noitisopmoceD
:8
elbaT
xidneppA
)noillib
`
ni
tnuomA(
DFG
ot
tnec
reP
DFG
tbed-noN
teN
latipaC
euneveR
raeY
)5-4+3+2(
latipaC
gnidneL
yaltuO
ticfi
eD
latoT
tbed-noN
teN
latipaC
euneveR
stpieceR
)01-9+8+7(
latipaC
gnidneL
yaltuO
ticfi
eD
stpieceR
11
01
9
8
7
6
5
4
3
2
1
0.001
7.2
4.43
9.26
2.978
β
5.32
6.203
2.355
10-0002
β
0.001
3.2
6.33
1.46
6.249
β
1.22
6.613
0.406
20-1002
β
0.001
9.6
8.53
3.75
3.799
β
9.86
6.653
8.175
30-2002
β
0.001
7.4
8.24
6.25
3.602,1
β
5.65
7.515
1.436
40-3002
β
0.001
9.7
8.55
3.63
7.770,1
β
8.48
3.106
6.193
50-4002
β
0.001
9.4
5.04
6.45
6.020,1
β
2.15
6.814
9.055
).gvA(
50-0002
β
0.001
β
1.6
1.68
8.7
8.009
1.0
2.55
6.577
1.07
60-5002
0.001
5.2
0.8
5.621
1.23-
1.577
1.91
1.26
6.089
6.842-
70-6002
0.001
2.9
6.8
5.751
9.65-
5.457
6.96
9.46
6.881,1
4.924-
80-7002
0.001
2.0
6.3
0.601
4.9-
9.543,1
7.2
0.94
3.624,1
7.621-
90-8002
0.001
4.0
0.5
0.97
4.61
2.888,1
1.8
0.49
1.294,1
2.013
01-9002
0.001
5.2
3.6
0.111
8.41-
9.231,1
9.91
0.56
7.271,1
9.48-
).gvA(
0102-5002
0.001
8.0
6.8
1.49
9.1-
6.416,1
4.21
2.831
3.915,1
5.03-
11-0102
0.001
4.0
9.21
7.101
2.41-
5.386,1
7.6
3.712
5.217,1
6.932-
21-1102
0.001
1.0
6.11
8.89
4.01-
7.459,1
0.1
1.722
8.139,1
2.302-
31-2102
0.001
1.0
9.6
0.98
3.4
5.874,2
6.3
0.171
5.502,2
6.501
41-3102
0.001
9.0
0.5
8.09
0.5
6.456,3
7.13
8.281
1.023,3
4.381
)ER(51-4102
0.001
β
8.5
4.011
1.61-
3.333,3
3.1
6.291
2.976,3
2.735-
)EB(
61-5102
.setamitsE
tegduB
:EB
.setamitsE
desiveR
:ER
.liN/elbigilgeN
:
'β'
.egarevA
:.gvA
.srotacidni
tic
fied
ni
sulprus
setacidni
ngis
)β(
evitageN
: etoN
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
dna
stnemnrevog
etats
eht
fo
stnemucod
tegduB
:
ecruoSAppendix Tables
61
ticfi
eD
lacsiF
ssorG
fo
gnicnaniF
:9
elbaT
xidneppA
)noillib
`
ni
tnuomA(
ssorG
/)+(
esaercnI
lawardhtiW
esaercnI
llarevO
srehtO
secnattimeR
esnepsuS
stisopeD
evreseR
tnedivorP
morf
snaoL
laicepS
snaoL
tekraM
raeY
lacsiF
esaerceD
/)+(
morf
/)β(
/)β(sulpruS
dna
dna
sdnuF
,sdnuF
,DRABAN
,CIL
seitiruceS
morf
sgniworroB
ticfi
eD
)β(
ot
noitiddA
esaerceD
)+(
ticfi
eD
suoenallecsiM
secnavdA
.cte
,CDCN
ot
deussi
ertneC
)DFG(
DO/AMW
ni
hsaC
)β(
)+(
)51+41+31(
dna
IBS
FSSN
IBR
morf
ecnalaB
hsaC
ni
sknaB
rehtO
tnemtsevnI
ecnalaB
tnuoccA
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
2.978
7.7-
3.7-
5.8-
8.32-
7.55
3.01
5.32
4.17
0.13
1.131
5.54
1.623
2.38
2.521
10-0002
6.249
6.82
0.21
4.6-
4.53
1.83
3.4-
5.42-
0.05
2.54
9.101
9.26
5.653
0.901
5.271
20-1002
3.799
1.96-
6.72-
6.05
9.24-
0.45
9.0
1.21
1.7
0.84
6.89
6.84
7.984
7.3-
8.482
30-2002
3.602,1
6.4-
8.71-
1.71
3.5-
7.242
5.81
5.63-
7.3-
8.36
3.39
3.14
0.081
4.931
9.274
40-3002
7.770,1
8.71-
3.08-
5.6-
3.201-
4.36
4.21
2.62-
7.08
3.17
8.88
*3.0
9.146
8.79-
6.543
50-4002
6.020,1
1.41-
2.42-
3.9
8.72-
8.09
6.7
3.01-
1.14
8.15
7.201
7.93
8.893
0.64
2.082
).gvA(
50-0002
8.009
1.01-
6.743-
3.81
5.933-
2.0-
5.0
1.97
6.27
3.25
6.401
6.04
2.837
4.0-
0.351
60-5002
1.577
7.1
8.212-
8.74
2.361-
9.45-
0.3-
7.64
0.821
3.67
7.301
4.93
2.065
9.88-
8.031
70-6002
5.457
4.0-
6.122-
9.78
1.431-
7.21-
5.21
4.73
8.531
2.95-
4.321
0.36
5.85
3.9-
2.935
80-7002
9.543,1
0.3-
6.442-
0.851
6.98-
6.91-
2.51-
0.88
9.54
4.57
4.651
0.75
8.41
6.7-
4.040,1
90-8002
2.888,1
7.0
4.27
9.3
0.77
6.54-
7.92
7.85
7.321
9.91-
4.132
1.28
6.142
0.71-
5.621,1
01-9002
9.231,1
2.2-
8.091-
2.36
9.921-
6.62-
9.4
0.26
2.101
0.52
9.341
4.65
7.223
7.42-
0.895
).gvA(
01-5002
6.416,1
3.9
3.161-
6.3
5.841-
8.67-
9.8-
8.2
6.822
1.62
1.872
0.23
3.683
1.7
8.788
11-0102
5.386,1
7.7-
1.95-
3.69-
0.361-
2.75-
8.4-
9.11
9.671
8.121
5.662
4.65
6.08-
8.1
0.453,1
21-1102
7.459,1
6.4
5.572-
0.04
8.032-
1.74-
5.1
4.14
6.903
5.19
8.752
8.25
7.1-
3.71
5.264,1
31-2102
5.874,2
5.8
4.291
9.91-
0.181
3.01
4.41
4.301-
1.282
1.511
3.462
4.74
6.52
0.6
7.536,1
41-3102
6.456,3
3.5-
7.052
2.423
6.965
9.411
0.07-
0.76
7.091
3.11
1.482
6.85
3.21
0.811
2.892,2
)ER(
51-4102
3.333,3
8.1
1.151-
6.69
7.25-
3.38
9.13-
0.291
7.22-
6.23
4.172
7.211
3.43-
8.441
0.836,2
)EB(
61-5102
.egarevA
:.gvA
.dnuF
sgnivaS
llamS
lanoitaN
: FSSN
.setamitsE
tegduB
:EB
.setamitsE
desiveR
:ER
.sdnob
)OCDIT(
noitaroproC
tnempoleveD
lairtsudnI
udaN
limaT
fo
tnemtsujda
fo
tnuocca
no
CDCN
morf
snaoL
rednu
noillib
67.31`
fo
erug
fi evitagen
a
nwohs
sah
udaN
limaT
:
*
naht
rehto
snoitutitsnI
laicnaniF
morf
snaoL
dna
sdnoB
rehtO
dna
noitasnepmoC
dnaL
,tnemeltteS
etatS-retnI
,sdnuF
ycnegnitnoC
ot
noitairporppa
,sdnuF
ycnegnitnoC
,aila
retni
,sedulcni
dna
meti
laudiser
a si
βsrehtOβ
.1
: etoN
.elbaT
eht
ni denoitnem
.tbeD
lanretnI
rednu
FSSN
eht
ot
deussi
seitiruceS
rednu
nwohs
si
hcihw
snoitcelloc
gnivas
llams
ni
erahs
βsetats
sedulcxe
ertneC
eht
morf
snaoL
,0002-9991
morf
erudecorp
gnitnuocca
eht
ni
egnahc
eht
ot
euD
.2
.erutidnepxe
dna
stpiecer
rof
gnitnuocca
tnetsisnoc
evah
ot
tbeD
lanretnI
fo
egrahcsid
rednu
nwohs
won
si
ertneC
ot snaoL
fo
stnemyaper
rednu
dedulcni
snoitcelloc
gnivas
llams
fo
stnemyaper
,ylgnidroccA
.sisab
ten
a
no
era serug
fi
llA
.3
.'snoitutitsnI
rehtO
morf
snaoL'
rednu
dedulcni
neeb
sah
emas
eht
,elbaliava
ton
saw
hsedarP
lahcanurA
rof
tbeD
lanretnI
fo
egrahcsiD
fo pu-kaerb
deliated
sA
.4
.rimhsaK
& ummaJ
fo tcepser
ni
41-3102
rof
GAC
dna
stnemnrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSState Finances : A Study of Budgets of 2015-16
62
latoT
ot
tnec
reP
sA
β
ticfi
eD
lacsiF
ssorG
fo
gnicnaniF
:01
elbaT
xidneppA
)tnec
reP(
ssorG
/)+(
esaercnI
lawardhtiW
/)β(
esaercnI
llarevO
srehtO
secnattimeR
esnepsuS
stisopeD
evreseR
tnedivorP
snaoL
laicepS
snaoL
tekraM
raeY
lacsiF
esaerceD
/)+(
morf
esaerceD
/)β(sulpruS
dna
dna
sdnuF
,sdnuF
,CIL
morf
seitiruceS
morf
sgniworroB
ticfi
eD
)β(
ot
noitiddA
)+(
)+(
ticfi
eD
suoenallecsiM
secnavdA
.cte
,DRABAN
ot
deussi
ertneC
)DFG(
DO/AMW
ni
hsaC
)β(
hsaC
ni
)51+41+31(
,CDCN
FSSN
IBR
morf
ecnalaB
ecnalaB
dna
IBS
tnemtsevnI
rehtO
tnuoccA
sknaB
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
0.001
9.0-
8.0-
0.1-
7.2-
3.6
2.1
7.2
1.8
5.3
9.41
2.5
1.73
5.9
2.41
10-0002
0.001
0.3
3.1
7.0-
8.3
0.4
5.0-
6.2-
3.5
8.4
8.01
7.6
8.73
6.11
3.81
20-1002
0.001
9.6-
8.2-
1.5
3.4-
4.5
1.0
2.1
7.0
8.4
9.9
9.4
1.94
4.0-
6.82
30-2002
0.001
4.0-
5.1-
4.1
4.0-
1.02
5.1
0.3-
3.0-
3.5
7.7
4.3
9.41
6.11
2.93
40-3002
0.001
6.1
3.7
6.0
6.9
4.21-
1.1
4.2-
4.7
5.6
2.7
0.0
2.26
8.01-
6.13
50-4002
0.001
7.0-
7.0
1.1
2.1
7.4
7.0
8.0-
2.4
0.5
1.01
0.4
2.04
3.4
4.62
).gvA(50-0002
0.001
1.1-
6.83-
0.2
7.73-
0.0
1.0
8.8
1.8
8.5
6.11
5.4
9.18
0.0
0.71
60-5002
0.001
2.0
4.72-
2.6
1.12-
1.7-
4.0-
0.6
5.61
8.9
4.31
1.5
3.27
5.11-
9.61
70-6002
0.001
1.0-
4.92-
7.11
8.71-
7.1-
7.1
0.5
0.81
8.7-
4.61
3.8
8.7
2.1-
5.17
80-7002
0.001
2.0-
2.81-
7.11
7.6-
5.1-
1.1-
5.6
4.3
6.5
6.11
2.4
1.1
6.0-
3.77
90-8002
0.001
0.0
8.3
2.0
1.4
4.2-
6.1
1.3
6.6
1.1-
3.21
3.4
8.21
9.0-
7.95
01-9002
0.001
2.0-
9.12-
4.6
8.51-
5.2-
4.0
9.5
5.01
5.2
0.31
3.5
2.53
8.2-
5.84
).gvA(01-5002
0.001
6.0
0.01-
2.0
2.9-
8.4-
6.0-
2.0
2.41
6.1
2.71
0.2
9.32
4.0
0.55
11-0102
0.001
5.0-
5.3-
7.5-
7.9-
4.3-
3.0-
7.0
5.01
2.7
8.51
3.3
8.4-
1.0
4.08
21-1102
0.001
2.0
1.41-
0.2
8.11-
4.2-
1.0
1.2
8.51
7.4
2.31
7.2
1.0-
9.0
8.47
31-2102
0.001
3.0
8.7
8.0-
3.7
4.0
6.0
2.4-
4.11
6.4
7.01
9.1
0.1
2.0
0.66
41-3102
0.001
1.0-
9.6
9.8
6.51
1.3
9.1-
8.1
2.5
3.0
8.7
6.1
3.0
2.3
9.26
)ER(51-4102
0.001
1.0
5.4-
9.2
6.1-
5.2
0.1-
8.5
7.0-
0.1
1.8
4.3
0.1-
3.4
1.97
)EB(61-5102
.elbacilppA
toN/elbigilgeN/liN
:
'β'
.egarevA
:.gvA
.dnuF
sgnivaS
llamS
lanoitaN
: FSSN
.setamitsE
tegduB
:EB
.setamitsE
desiveR
:ER
.9
elbaT
xidneppA
ni
sa
emaS
:
etoN
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
dna
stnemnrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSAppendix Tables
63
stnemnrevoG
etatS
fo
seitilibaiL
gnidnatstuO
fo
noitisopmoC
:11
elbaT
xidneppA
)hcraM-dne
ta
sA(
)noillib
`
ni
tnuomA(
latoT
ycnegitnoC
tisopeD
evreseR
tnedivorP
snaoL
latoT
snaoL
snaoL
snaoL
snaoL
snaoL
snaoL
snaoL
AMW
FSSN
-nepmoC
rewoP
tekraM
raeY
-dnatstuO
dnuF
dna
dnuF
,sdnuF
dna
lanretnI
morf
morf
morf
morf
morf
morf
morf
morf
noitas
sdnoB
snaoL
gni
secnavdA
.cte
secnavdA
tbeD
sknaB
rehtO
CDCN
IBS
DRABAN
CIG
CIL
IBR
dna
seitilibaiL
teN(
morf
dna
-utitsnI
dna
rehtO
)secnalaB
ertneC
sIF
snoit
rehtO
sdnoB
sknab
mus
=
02
91
81
71
61
51
mus
=
41
mus
=
31
21
11
01
9
8
7
6
5
4
3
2
1
)91
ot
41(
31+)6
ot
2(
)21
ot
7(
3.590,5
3.51
9.125
7.791
2.508
3.303,2
8.152,1
1.171
1.15
5.31
8.13
7.34
β
0.13
3.37
5.252
7.0
β
3.457
0002
5.149,5
1.7
3.395
7.822
3.639
6.683,2
5.987,1
1.292
7.621
4.41
9.34
0.56
β
2.24
6.56
5.365
6.0
β
7.768
1002
5.709,6
4.01
2.346
9.372
2.830,1
5.594,2
3.644,2
9.804
8.081
2.61
4.17
7.98
β
9.05
2.49
3.209
6.0
β
3.040,1
2002
3.468,7
1.3
4.056
9.123
8.631,1
8.194,2
3.062,3
0.215
2.532
1.61
0.97
5.511
β
2.66
1.52
9.193,1
6.0
β
7.033,1
3002
7.130,9
5.2
2.196
2.224
4.812,1
8.929,1
7.767,4
6.956
1.433
7.03
2.28
9.211
1.01
7.98
8.33
5.489,1
8.0
8.982
2.997,1
4002
7.041,01
3.5
9.257
1.325
3.803,1
5.006,1
6.059,5
2.976
5.653
8.51
9.49
3.28
9.9
9.911
0.51
0.228,2
8.0
8.892
8.431,2
5002
2.774,11
2.31
9.668
2.136
1.804,1
0.075,1
7.789,6
5.817
2.753
0.21
8.69
5.611
9.9
1.621
1.4
3.956,3
8.0
8.513
2.982,2
6002
8.514,21
2.31
7.010,1
6.787
2.994,1
5.664,1
6.836,7
4.396
5.203
2.11
8.19
2.651
7.9
0.221
0.3
1.352,4
8.0
5.062
8.724,2
7002
0.382,31
7.02
9.561,1
6.287
7.916,1
0.154,1
0.342,8
4.417
4.672
8.11
0.39
7.802
3.9
3.511
5.2
8.803,4
8.0
4.132
1.589,2
8002
0.207,41
5.82
5.382,1
3.938
3.477,1
7.834,1
6.733,9
8.777
2.382
9.11
0.19
3.472
1.9
4.801
7.3
2.913,4
8.0
9.612
2.910,4
9002
5.684,61
3.42
3.543,1
5.349
6.500,2
5.134,1
3.637,01
8.438
0.662
2.31
6.101
1.843
8.8
0.79
8.4
2.055,4
8.0
8.781
9.751,5
0102
8.982,81
7.33
6.635,1
7.130,1
4.282,2
7.144,1
7.369,11
2.718
2.132
6.51
4.95
1.804
8.7
1.59
1.41
4.649,4
8.0
2.441
9.040,6
1102
2.939,91
4.13
8.987,1
4.919
5.435,2
5.534,1
7.822,31
8.038
8.091
3.61
8.45
3.574
1.7
5.68
1.6
2.468,4
8.0
4.511
5.114,7
2102
5.201,22
5.43
3.259,1
6.513,1
6.397,2
1.844,1
3.855,41
8.158
5.951
3.51
8.94
7.145
4.6
1.97
5.5
5.768,4
8.0
7.68
0.647,8
3102
6.217,42
0.13
9.992,2
0.594,1
0.850,3
1.854,1
7.073,61
6.788
3.051
1.91
6.53
5.406
8.5
3.27
0.41
3.298,4
8.0
3.27
7.305,01
4102
4.358,72
0.53
6.094,2
2.605,1
0.243,3
1.675,1
4.309,81
0.040,1
2.442
9.81
4.8
2.896
8.5
6.46
8.8
2.231,5
4.1
1.92
0.296,21
ER
5102
8.340,13
7.63
9.764,2
9.835,1
4.316,3
9.027,1
0.666,12
6.522,1
0.713
2.81
8.7
1.028
8.5
6.65
5.01
9.790,5
4.1
6.0
9.923,51
EB
6102
.setamitsE
tegduB
: EB
.setamitsE
desiveR
: ER
.elbigilgen/elbaliava
toN/elbacilppa
toN
: 'β'
.'snaoL
rehtO'
sedulcni
'snoitutitsnI
rehtO
morf
snaoL'
,4002
morF
.'CIG
morf
snaoL'
dna
'snaoL
rehtO'
sedulcni
osla
'snoitutitsnI
rehtO
morf
snaoL'
,3002
ot
7991
morF
.1
:etoN
.'snoitutitsnI
rehtO
morf
snaoL'
rednu
dedulcni
neeb
sah
emas
eht
,elbaliava
ton
saw
hsedarP
lahcanurA
rof
tbeD
lanretnI
fo
egrahcsiD
fo
pu-kaerb
deliated
sA
.2
.βygolodohteM
dna
secruoS
ataD
no
etoN
yrotanalpxEβ
ees
oslA
.3State Finances : A Study of Budgets of 2015-16
64
latoT
ot
noitroporP
sA
β
stnemnrevoG
etatS
fo
seitilibaiL
gnidnatstuO
fo
noitisopmoC
:21
elbaT
xidneppA
)hcraM-dne
ta
sA(
)tnec
reP(
latoT
ycnegitnoC
tisopeD
evreseR
tnedivorP
snaoL
latoT
snaoL
snaoL
snaoL
snaoL
snaoL
snaoL
snaoL
AMW
FSSN
-nepmoC
rewoP
tekraM
raeY
-dnatstuO
dnuF
dna
dnuF
,sdnuF
dna
lanretnI
morf
morf
morf
morf
morf
morf
morf
morf
noitas
sdnoB
snaoL
gni
secnavdA
.cte
secnavdA
tbeD
sknaB
rehtO
CDCN
IBS
DRABAN
CIG
CIL
IBR
dna
seitilibaiL
teN(
morf
dna
-utitsnI
dna
rehtO
)secnalaB
ertneC
sIF
snoit
rehtO
sdnoB
sknab
mus
= 02
91
81
71
61
51
mus
=
41
mus
=
31
21
11
01
9
8
7
6
5
4
3
2
1
)91
ot 41(
31+)6
ot
2(
)21
ot
7(
0.001
3.0
2.01
9.3
8.51
2.54
6.42
4.3
0.1
3.0
6.0
9.0
β
6.0
4.1
0.5
β
β
8.41
0002
0.001
1.0
0.01
8.3
8.51
2.04
1.03
9.4
1.2
2.0
7.0
1.1
β
7.0
1.1
5.9
β
β
6.41
1002
0.001
2.0
3.9
0.4
0.51
1.63
4.53
9.5
6.2
2.0
0.1
3.1
β
7.0
4.1
1.31
β
β
1.51
2002
0.001
β
3.8
1.4
5.41
7.13
5.14
5.6
0.3
2.0
0.1
5.1
β
8.0
3.0
7.71
β
β
9.61
3002
0.001
β
7.7
7.4
5.31
4.12
8.25
3.7
7.3
3.0
9.0
2.1
1.0
0.1
4.0
0.22
β
2.3
9.91
4002
0.001
1.0
4.7
2.5
9.21
8.51
7.85
7.6
5.3
2.0
9.0
8.0
1.0
2.1
1.0
8.72
β
9.2
1.12
5002
0.001
1.0
6.7
5.5
3.21
7.31
9.06
3.6
1.3
1.0
8.0
0.1
1.0
1.1
β
9.13
β
8.2
9.91
6002
0.001
1.0
1.8
3.6
1.21
8.11
5.16
6.5
4.2
1.0
7.0
3.1
1.0
0.1
β
3.43
β
1.2
6.91
7002
0.001
2.0
8.8
9.5
2.21
9.01
1.26
4.5
1.2
1.0
7.0
6.1
1.0
9.0
β
4.23
β
7.1
5.22
8002
0.001
2.0
7.8
7.5
1.21
8.9
5.36
3.5
9.1
1.0
6.0
9.1
1.0
7.0
β
4.92
β
5.1
3.72
9002
0.001
1.0
2.8
7.5
2.21
7.8
1.56
1.5
6.1
1.0
6.0
1.2
1.0
6.0
β
6.72
β
1.1
3.13
0102
0.001
2.0
4.8
6.5
5.21
9.7
4.56
5.4
3.1
1.0
3.0
2.2
β
5.0
1.0
0.72
β
8.0
0.33
1102
0.001
2.0
0.9
6.4
7.21
2.7
3.66
2.4
0.1
1.0
3.0
4.2
β
4.0
β
4.42
β
6.0
2.73
2102
0.001
2.0
8.8
0.6
6.21
6.6
9.56
9.3
7.0
1.0
2.0
5.2
β
4.0
β
0.22
β
4.0
6.93
3102
0.001
1.0
3.9
0.6
4.21
9.5
2.66
6.3
6.0
1.0
1.0
4.2
β
3.0
1.0
8.91
β
3.0
5.24
4102
0.001
1.0
9.8
4.5
0.21
7.5
9.76
7.3
9.0
1.0
β
5.2
β
2.0
β
4.81
β
1.0
6.54
ER5102
0.001
1.0
9.7
0.5
6.11
5.5
8.96
9.3
0.1
1.0
β
6.2
β
2.0
β
4.61
β
β
4.94
EB6102
.setamitsE
tegduB
: EB
.setamitsE
desiveR
: ER
.elbigilgen/elbaliava
toN/elbacilppa
toN
: 'β'
.βsnaoL
rehtOβ
sedulcni
βsnoitutitsnI
rehtO
morf
snaoLβ
,4002
morF
.βCIG
morf
snaoLβ
dna
βsnaoL
rehtOβ
sedulcni
osla
βsnoitutitsnI
rehtO
morf
snaoLβ
,3002
ot
7991
morF
.1
:etoN
.βsnoitutitsnI
rehtO
morf
snaoLβ
rednu
dedulcni
neeb
sah
emas
eht
,elbaliava
ton
saw
hsedarP
lahcanurA
rof
tbeD
lanretnI
fo
egrahcsiD
fo
pu-kaerb
deliated
sA
.2
.βygolodohteM
dna
secruoS
ataD
no
etoN
yrotanalpxEβ
ees
oslA
.3Appendix Tables
Appendix Table 13: State Government Market Borrowings
(Amount in ` billion)
Year Gross Allocation Repayments Net Allocation
1 2 3 4
1990-91 25.7 β 25.7
1991-92 33.6 β 33.6
1992-93 38.1 3.3 34.7
1993-94 41.5 5.1 36.4
1994-95 51.2 β 51.2
1995-96 62.7 3.4 59.3
1996-97 65.4 β 65.4
1997-98 77.5 5.6 71.9
1998-99 121.1 14.1 107.0
1999-00 137.1 13.0 124.1
2000-01 133.0 4.2 128.8
2001-02 187.1 14.5 172.6
2002-03* 308.5 17.9 290.6
2003-04* 505.2 41.5 463.8
2004-05* 391.0 51.2 339.8
2005-06 217.3 62.7 154.5
2006-07 266.0 65.5 200.5
2007-08 805.7 115.6 # 690.2
2008-09 1,290.8 143.7 1,147.1
2009-10 1,181.9 162.4 1,049.4
2010-11 1,572.0 156.4 1,421.6
2011-12 1,678.6 219.9 1,458.7
2012-13 2,187.1 306.3 1,880.8
2013-14 2,506.1 320.8 2,185.3
2014-15 2,698.4 333.8 2,364.6
2015-16 $ β 351.9 β
'β' : Nil.
* : Include additional market borrowings of `100 billion for 2002-03, `266 billion for 2003-04 and `169 billion for 2004-05 under the debt swap scheme.
# : Excluding `1.5 billion of buy-back of securities by Government of Odisha.
$ : Ministry of Finance, Government of India has discontinued to provide gross/net allocation fi gures.
Note: 1. Data from 2007-08 onwards includes the Union Territory of Puducherry.
2. Gross and net allocation from 2008-09 onwards includes additional allocations.
Source : Reserve Bank records.
65StatementsStatements
69
srotacidnI
lacsiF
rojaM
:1
tnemetatS
)tnec
reP( euneveR/tnemyaP
tseretnI
/erutidnepxE
latnempoleveD-noN
/erutidnepxE
tnempoleveD
euneveR/euneveR
nwO
etatS
erutidnepxE
*tnemesrubsiD
etagerggA
*tnemesrubsiD
etagerggA
erutidnepxE
61-5102
51-4102
41-3102
61-5102
51-4102
41-3102
61-5102
51-4102
41-3102
61-5102
51-4102
41-3102
)EB(
)ER(
)stnuoccA(
)EB(
)ER(
)stnuoccA(
)EB(
)ER(
)stnuoccA(
)EB(
)ER(
)stnuoccA(
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
5.11
8.9
7.11
5.82
7.72
6.72
8.76
0.86
9.66
1.15
2.84
1.27
hsedarP
arhdnA
.1
9.7
6.6
7.8
5.82
0.52
0.92
3.86
3.27
1.76
6.73
7.82
4.43
rahiB
.2
9.3
0.4
1.4
7.61
3.61
4.02
5.08
3.08
4.57
5.35
4.25
2.95
hragsittahhC
.3
3.11
2.21
1.31
2.72
8.52
9.72
5.96
6.07
0.86
7.57
2.18
1.77
aoG
.4
0.61
2.61
7.71
9.62
5.52
4.62
3.86
7.96
4.76
9.77
3.77
2.48
tarajuG
.5
8.31
1.31
0.41
9.82
3.92
6.82
3.76
7.66
3.66
9.46
2.46
9.27
anayraH
.6
9.7
8.6
2.11
9.42
1.42
7.33
0.17
0.27
7.06
5.84
4.74
0.65
dnahkrahJ
.7
2.9
6.8
8.8
8.22
4.12
0.32
9.96
8.96
0.96
7.07
1.76
7.47
akatanraK
.8
8.21
9.21
7.31
7.63
5.63
6.83
8.25
8.15
7.94
8.36
5.26
1.26
alareK
.9
4.7
0.7
1.9
4.42
3.91
2.32
8.76
4.27
3.76
2.94
7.94
0.95
hsedarP
ayhdaM
.01
7.31
5.21
7.31
5.13
6.82
5.92
4.36
3.66
9.36
9.47
0.86
4.77
arthsarahaM
.11
6.6
0.7
3.6
2.42
1.42
3.52
3.17
8.07
0.96
0.64
6.44
4.55
ahsidO
.21
8.81
1.81
8.81
1.04
2.14
9.24
7.25
4.25
3.84
0.36
4.46
5.56
bajnuP
.31
8.01
4.01
0.21
2.32
2.32
2.52
3.37
8.27
2.07
5.65
8.25
3.26
nahtsajaR
.41
6.11
8.01
3.11
0.82
3.72
1.72
0.16
0.26
3.26
4.17
2.96
6.57
udaN
limaT
.51
1.8
4.7
β
4.12
1.22
β
8.57
4.57
β
6.37
9.06
β
anagnaleT
.61
8.9
7.9
0.11
5.92
6.72
6.23
2.36
6.46
5.85
6.25
6.15
5.25
hsedarP
rattU
.71
9.02
4.02
6.22
3.43
8.33
9.73
7.85
8.85
1.35
2.34
6.93
2.14
lagneB
tseW
.81
5.11
9.01
5.21
9.72
6.62
3.92
0.66
1.76
3.36
1.06
6.65
1.46
I latoT
yrogetaC
laicepS
.II
9.4
3.4
5.5
2.23
0.02
3.52
6.36
9.47
2.07
7.01
2.11
6.41
hsedarP
lahcanurA
.1
1.5
6.4
9.6
9.42
4.12
6.92
4.66
9.86
9.95
4.33
2.62
6.63
massA
.2
6.21
2.31
3.41
8.13
2.13
5.33
9.26
9.26
2.95
4.33
7.43
8.93
hsedarP
lahcamiH
.3
9.01
0.11
1.11
6.83
2.43
5.63
2.85
8.26
5.95
2.33
9.03
8.33
rimhsaK
dna ummaJ
.4
8.5
0.5
8.7
0.23
7.82
1.73
4.06
1.46
0.65
2.11
8.8
8.21
rupinaM
.5
2.6
1.4
7.6
1.42
0.81
5.82
5.27
3.08
4.96
7.71
0.91
9.72
ayalahgeM
.6
4.7
7.4
8.5
3.23
2.52
0.13
4.46
6.27
4.76
5.9
1.8
6.8
maroziM
.7
6.7
4.7
6.8
5.83
2.63
3.04
5.65
6.06
0.65
7.7
9.8
6.9
dnalagaN
.8
4.6
9.4
0.6
4.62
4.33
6.63
5.96
3.46
6.06
4.12
0.33
2.83
mikkiS
.9
9.7
4.8
9.9
5.82
1.72
1.33
7.66
1.86
2.26
9.71
6.71
2.22
arupirT
.01
1.31
5.01
7.21
3.82
5.62
4.92
2.26
0.86
4.16
8.44
1.14
5.35
dnahkarattU
.11
6.8
7.7
6.9
5.03
9.62
5.23
3.36
3.76
9.06
2.92
5.62
3.33
II latoT
2.11
6.01
2.21
2.82
6.62
6.92
8.56
2.76
1.36
1.75
6.35
2.16
setatS
llA
:meti
omeM
6.01
8.11
6.21
9.91
8.02
0.81
4.37
8.17
8.57
7.711
0.011
8.811
ihleD
TCN
.1
3.9
9.01
6.01
1.32
1.62
4.52
4.37
2.07
5.07
9.76
6.07
1.96
yrrehcuduP
.2
)...dtnoC(State Finances : A Study of Budgets of 2015-16
70
).dlcnoC(
srotacidnI
lacsiF
rojaM
:1
tnemetatS
)tnec
reP( etagerggA/srefsnarT
ssorG
euneveR/noisneP
/erutidnepxE
dettimmoC
/tnemyaP
tseretnI
etatS
tnemesrubsiD
erutidnepxE
erutidnepxE
euneveR
stpieceR
euneveR
61-5102
51-4102
41-3102
61-5102
51-4102
41-3102
61-5102
51-4102
41-3102
61-5102
51-4102
41-3102
)EB(
)ER(
)stnuoccA(
)EB(
)ER(
)stnuoccA(
)EB(
)ER(
)stnuoccA(
)EB(
)ER(
)stnuoccA(
52
42
32
22
12
02
91
81
71
61
51
41
1
yrogetaC
laicepS-noN
.I
1.73
9.33
8.32
1.21
9.9
4.21
2.03
5.82
8.03
4.21
5.11
7.11
hsedarP
arhdnA
.1
4.95
1.25
7.95
2.41
6.11
2.51
1.03
0.62
2.23
0.7
9.6
9.7
rahiB
.2
5.44
0.44
0.23
0.7
4.5
4.8
9.61
9.51
7.02
6.3
8.3
2.4
hragsittahhC
.3
6.22
5.71
6.61
9.6
7.6
3.8
2.52
9.52
1.82
8.01
1.21
8.31
aoG
.4
2.22
4.22
0.61
4.8
6.9
0.11
3.92
8.03
9.33
9.41
2.51
7.61
tarajuG
.5
8.71
1.61
0.61
5.9
7.8
0.01
6.92
3.82
4.03
4.61
8.51
4.51
anayraH
.6
6.94
4.94
6.34
4.01
7.01
9.41
7.82
9.62
0.04
1.7
2.6
0.01
dnahkrahJ
.7
9.52
0.82
7.12
3.9
9.8
3.01
6.42
1.32
7.42
2.9
6.8
8.8
akatanraK
.8
7.42
4.22
3.71
4.51
6.51
5.61
8.33
8.33
7.53
1.41
0.51
8.61
alareK
.9
3.64
4.74
8.93
6.7
4.6
5.8
2.62
3.91
6.42
0.7
6.6
4.8
hsedarP
ayhdaM
.01
5.12
5.22
5.61
2.8
4.7
4.8
1.23
6.82
1.13
0.41
4.31
2.41
arthsarahaM
.11
0.05
1.15
2.34
1.31
0.31
0.31
5.72
0.72
7.72
1.6
6.6
9.5
ahsidO
.21
3.22
0.12
2.71
6.31
8.31
1.51
9.34
8.34
2.64
4.12
8.02
3.22
bajnuP
.31
2.73
4.53
4.92
0.01
8.9
3.01
5.52
2.52
8.72
7.01
9.01
2.21
nahtsajaR
.41
0.22
1.42
1.02
5.31
4.31
5.31
5.03
6.92
5.03
0.21
1.11
5.11
udaN limaT
.51
6.22
3.33
β
8.8
2.8
β
3.32
5.42
β
0.8
4.7
β
anagnaleT
.61
8.64
9.74
6.24
4.31
8.11
3.21
3.13
5.92
2.13
5.8
3.8
4.01
hsedarP rattU
.71
5.64
0.34
0.33
2.21
9.11
7.21
0.93
1.83
4.14
9.02
5.22
5.82
lagneB tseW
.81
8.43
0.53
7.82
0.11
3.01
7.11
8.92
2.82
5.13
2.11
0.11
7.21
I latoT
yrogetaC laicepS
.II
7.38
4.55
0.46
9.7
7.4
0.7
5.82
8.12
8.82
9.3
0.5
4.5
hsedarP
lahcanurA
.1
5.36
9.15
3.55
1.21
1.7
3.31
2.72
7.12
6.13
6.4
1.5
8.6
massA
.2
5.55
0.84
7.14
2.71
9.41
5.61
0.63
0.53
2.83
5.21
2.41
8.51
hsedarP
lahcamiH
.3
3.75
7.85
6.45
4.01
0.21
3.31
0.44
7.93
6.04
0.01
9.9
1.11
rimhsaK
dna ummaJ
.4
5.08
1.28
3.19
1.21
5.01
5.31
7.33
5.92
7.93
4.5
5.4
1.6
rupinaM
.5
8.37
8.77
3.96
9.5
0.4
1.8
4.52
8.71
1.92
6.5
6.3
9.5
ayalahgeM
.6
3.78
0.46
0.77
2.9
1.6
7.01
6.43
9.52
7.03
3.6
6.5
0.6
maroziM
.7
8.77
2.08
3.28
1.21
7.11
1.21
9.73
8.83
8.44
4.7
9.6
6.7
dnalagaN
.8
5.07
2.86
3.76
8.9
8.6
5.7
3.62
4.02
1.52
7.5
9.3
8.4
mikkiS
.9
9.27
2.47
9.08
2.9
6.9
4.11
9.03
0.23
6.63
8.5
5.6
7.7
arupirT
.01
9.44
6.25
3.04
2.01
1.11
1.31
3.13
7.92
4.53
1.31
7.9
9.11
dnahkarattU
.11
2.36
9.85
5.75
4.11
5.9
8.21
1.33
8.82
6.53
9.7
6.7
2.9
II latoT
6.73
5.73
4.13
0.11
2.01
8.11
1.03
3.82
8.13
9.01
7.01
3.21
setatS
llA
:meti
omeM
3.9
5.31
3.61
4.0
4.0
β
8.51
6.61
8.61
4.8
6.9
1.01
ihleD
TCN
.1
7.92
9.72
6.52
7.7
5.8
6.8
5.22
2.52
8.42
3.9
7.01
1.11
yrrehcuduP
.2
elbacilppa
toN/elbigilgeN/liN
:βββ
.setamitsE
tegduB
: EB
.setamitsE
desiveR
: ER
.stnemyaper
sedulcni
osla
tnemesrubsid
etagergga
sa
derdnuh
ot
pu
dda
ton
yam
tnemesrubsid
etagergga
ot
oitar
a
sa
erutidnepxe
tnempoleved
noN
dna tnempoleveD
:*
.srotacidni
tic
fied
ni
sulprus
setacidni
ngis
)β( evitageN
.1 :etoN
.rimhsaK
& ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnemnrevog
etats
fo
stnemucod
tegduB
:ecruoSStatements
71
sulpruS/ticfi
eD
euneveR
:2
tnemetatS
)noillib
`
ni
tnuomA(
61-5102
51-4102
41-3102
etatS
)setamitsE
tegduB(
)setamitsE
desiveR(
)stnuoccA(
euneveR
euneveR
euneveR
euneveR
euneveR
euneveR
euneveR
euneveR
euneveR
/)β(
sulpruS
erutidnepxE
stpieceR
/)β(
sulpruS
erutidnepxE
stpieceR
/)β(
sulpruS
erutidnepxE
stpieceR
)+(
ticfi
eD
)+(
ticfi
eD
)+(
ticfi
eD
8-9=01
9
8
5-6=7
6
5
2-3=4
3
2
1
yrogetaC
laicepS-noN
.I
0.37
2.479
2.109
4.241
1.389
7.048
4.3-
7.301,1
2.701,1
hsedarP
arhdnA
.1
8.911-
1.219
9.130,1
1.54
5.200,1
4.759
4.46-
8.426
2.986
rahiB
.2
3.24-
3.735
6.975
8.32-
7.664
4.094
1.8
6.823
5.023
hragsittahhC
.3
1.4-
3.59
4.99
5.0-
5.97
0.08
5.3
0.86
5.46
aoG
.4
1.37-
9.910,1
0.390,1
9.36-
0.629
8.989
2.74-
6.257
8.997
tarajuG
.5
6.59
7.816
1.325
0.59
2.945
2.454
8.83
9.814
1.083
anayraH
.6
8.64-
4.334
3.084
3.83-
7.004
0.934
1.72-
3.432
4.162
dnahkrahJ
.7
1.9-
5.451,1
6.361,1
6.1-
5.780,1
1.980,1
5.3-
9.198
4.598
akatanraK
.8
3.87
6.258
3.477
6.201
5.837
9.536
1.311
9.406
8.194
alareK
.9
9.55-
3.880,1
2.441,1
7.36-
5.289
2.640,1
8.85-
7.896
5.757
hsedarP
ayhdaM
.01
6.73
9.910,2
3.289,1
8.831
8.649,1
9.708,1
8.05
0.945,1
2.894,1
arthsarahaM
.11
0.15-
4.856
4.907
8.33-
7.206
5.636
3.33-
2.654
5.984
ahsidO
.21
9.36
2.625
3.264
4.26
8.984
4.724
4.56
4.614
0.153
bajnuP
.31
6.5-
0.801,1
6.311,1
2.24
9.800,1
7.669
4.01
1.557
7.447
nahtsajaR
.41
2.64
0.374,1
8.624,1
4.53
3.763,1
9.133,1
9.71
2.890,1
4.080,1
udaN limaT
.51
3.5-
0.639
3.149
8.2-
1.897
9.008
β
β
β
anagnaleT
.61
2.143-
6.751,2
8.894,2
1.423-
9.519,1
0.042,2
7.001-
5.185,1
1.286,1
hsedarP
rattU
.71
β
0.131,1
0.131,1
6.301
3.860,1
7.469
2.981
0.819
8.827
lagneB tseW
.81
yrogetaC
laicepS
.II
3.32-
0.39
4.611
1.21
2.58
2.37
9.0-
3.75
2.85
hsedarP
lahcanurA
.1
0.55-
6.515
6.075
9.05
3.425
4.374
4.2-
7.913
1.223
massA
.2
5.0-
9.432
3.532
4.51
5.402
1.981
4.61
5.371
1.751
hsedarP
lahcamiH
.3
0.13-
1.743
1.873
9.43-
5.013
4.543
7.0-
6.072
3.172
rimhsaK
dna ummaJ
.4
9.6-
7.97
6.68
7.9-
9.98
6.99
6.51-
2.75
8.27
rupinaM
.5
8.7-
2.67
0.48
2.21-
0.99
3.111
2.7-
5.55
7.26
ayalahgeM
.6
8.01-
9.06
8.17
5.9
7.26
2.35
5.1
2.94
6.74
maroziM
.7
3.2-
6.68
9.88
8.4-
1.67
9.08
5.7-
5.75
0.56
dnalagaN
.8
4.5-
6.24
0.84
8.21-
0.94
8.16
7.8-
6.43
3.34
mikkiS
.9
0.43-
3.19
2.521
6.32-
0.38
6.601
0.71-
5.95
5.67
arupirT
.01
4.0-
4.752
8.752
6.12-
5.342
1.562
0.11-
2.261
2.371
dnahkarattU
.11
2.735-
7.185,91
9.811,02
4.381
6.142,81
3.850,81
6.501
5.797,31
9.196,31
setatS
llA
:meti
omeM
6.18-
0.403
7.583
0.16-
4.062
4.123
1.65-
7.322
8.972
ihleD
TCN
.1
β
0.65
0.65
9.0-
6.05
5.15
8.1
8.44
1.34
yrrehcuduP
.2
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnemnrevog
etats
fo
stnemucod
tegduB
:ecruoSState Finances : A Study of Budgets of 2015-16
72
sulpruS/ticfi
eD
lacsiF
ssorG
:3
tnemetatS
)noillib
`
ni
tnuomA(
61-5102
51-4102
41-3102
etatS
)setamitsE
tegduB(
)setamitsE
desiveR(
)stnuoccA(
/)β(
sulpruS
erutidnepxE
stpieceR
/)β(
sulpruS
erutidnepxE
stpieceR
/)β(
sulpruS
erutidnepxE
stpieceR
)+(ticfi
eD
)+(ticfi
eD
)+(ticfi
eD
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
8.571
1.770,1
2.109
2.302
9.340,1
7.048
4.081
7.782,1
3.701,1
hsedarP
arhdnA
.1
8.531
7.761,1
9.130,1
2.823
6.582,1
4.759
5.38
7.277
2.986
rahiB
.2
4.86
9.746
6.975
7.75
1.845
4.094
6.05
2.173
6.023
hragsittahhC
.3
1.72
5.621
4.99
4.71
4.79
0.08
5.31
0.87
5.46
aoG
.4
5.022
5.313,1
1.390,1
8.381
6.791,1
8.310,1
2.481
0.489
8.997
tarajuG
.5
2.461
5.786
2.325
3.651
6.016
3.454
1.38
4.364
2.083
anayraH
.6
6.15
8.135
3.084
1.94
1.884
0.934
2.22
6.382
4.162
dnahkrahJ
.7
2.202
6.663,1
4.461,1
3.091
2.082,1
8.980,1
9.071
2.760,1
3.698
akatanraK
.8
0.771
5.159
5.477
0.061
1.697
1.636
4.961
4.166
0.294
alareK
.9
5.761
7.113,1
2.441,1
7.531
9.181,1
2.640,1
8.89
7.658
9.757
hsedarP
ayhdaM
.01
3.703
6.982,2
3.289,1
5.273
4.081,2
9.708,1
2.062
4.857,1
2.894,1
arthsarahaM
.11
0.401
4.318
4.907
4.19
9.727
5.636
3.64
8.535
5.984
ahsidO
.21
0.911
2.185
3.264
0.401
4.135
4.724
9.78
9.834
0.153
bajnuP
.31
1.602
8.913,1
7.311,1
6.132
4.891,1
8.669
9.151
7.698
8.447
nahtsajaR
.41
3.813
1.547,1
8.624,1
5.372
3.506,1
9.133,1
8.502
2.682,1
4.080,1
udaN limaT
.51
7.961
0.111,1
3.149
0.471
9.479
9.008
β
β
β
anagnaleT
.61
6.513
4.418,2
8.894,2
8.382
8.325,2
0.042,2
8.632
9.819,1
1.286,1
hsedarP
rattU
.71
8.951
8.092,1
0.131,1
8.832
5.302,1
7.469
5.352
3.289
8.827
lagneB tseW
.81
yrogetaC
laicepS
.II
1.5
5.121
4.611
6.53
7.801
2.37
1.61
3.47
2.85
hsedarP
lahcanurA
.1
8.64
4.716
6.075
6.261
0.636
4.374
8.73
0.063
1.223
massA
.2
8.23
2.862
3.532
3.83
9.332
6.591
1.04
2.791
1.751
hsedarP
lahcamiH
.3
3.66
4.444
1.873
3.66
7.114
4.543
5.54
8.613
3.172
rimhsaK
dna ummaJ
.4
8.5
4.29
6.68
3.9
0.901
6.99
7.2-
1.07
8.27
rupinaM
.5
2.8
2.29
0.48
3.5
6.611
3.111
8.3
5.66
7.26
ayalahgeM
.6
1.1
9.27
8.17
0.02
2.37
2.35
5.7
1.55
6.74
maroziM
.7
6.11
5.001
9.88
5.8
4.98
9.08
6.4
6.96
0.56
dnalagaN
.8
2.5
2.35
0.84
5.4
3.66
8.16
5.0
8.34
3.34
mikkiS
.9
4.91
6.441
2.521
2.31
8.911
6.601
5.0-
0.67
5.67
arupirT
.01
0.14
8.892
8.752
7.93
8.403
1.562
5.62
5.102
0.571
dnahkarattU
.11
3.333,3
5.354,32
2.021,02
6.456,3
5.447,12
9.980,81
5.874,2
0.471,61
5.596,31
setatS
llA
:meti
omeM
2.4
8.983
7.583
5.3
9.423
4.123
4.93
2.913
8.972
ihleD
TCN
.1
1.6
1.26
0.65
5.5
0.75
5.15
4.5
4.84
1.34
yrrehcuduP
.2
.stpiecer
latipac
suoenallecsim
dna
stpiecer
eunever
sedulcni
stpieceR
DFG
.1
:
etoN
.seirevocer
fo
ten
secnavda
dna
snaol
dna
yaltuo
latipac
,erutidnepxe
eunever
sedulcni
erutidnepxE
DFG
.2
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnemnrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSStatements
73
ticfi
eD
lacsiF
ssorG
fo
noitisopmoceD
:4
tnemetatS
)noillib
`
ni
tnuomA(
61-5102
51-4102
41-3102
etatS
)setamitsE
tegduB(
)setamitsE
desiveR(
)stnuoccA(
DFG
-noN
teN
latipaC
euneveR
DFG
-noN
teN
latipaC
euneveR
DFG
-noN
teN
latipaC
euneveR
tbed
gnidneL
yaltuO
ticfi
eD
tbed
gnidneL
yaltuO
ticfi
eD
tbed
gnidneL
yaltuO
ticfi
eD
latipaC
latipaC
latipaC
stpieceR
stpieceR
stpieceR
=61
51
41
31
21
=11
01
9
8
7
=
6
5
4
3
2
1
)51-41+31+21(
)01-9+8+7(
)5-4+3+2(
yrogetaC
laicepS-noN
.I
8.571
β
7.4
2.89
0.37
2.302
β
7.01-
5.17
4.241
4.081
1.0
1.13
8.251
4.3-
hsedarP
arhdnA
.1
8.531
β
1.7
5.842
8.911-
2.823
β
0.7
1.672
1.54
5.38
β
9.7
0.041
4.46-
rahiB
.2
4.86
β
6.0
0.011
3.24-
7.75
β
3.2
2.97
8.32-
6.05
1.0
2.3-
7.54
1.8
hragsittahhC
.3
1.72
β
β
2.13
1.4-
4.71
β
β
9.71
5.0-
5.31
β
1.0-
1.01
5.3
aoG
.4
5.022
1.0
0.4
6.982
1.37-
8.381
0.42
5.2
1.962
9.36-
2.481
β
6.4
8.622
2.74-
tarajuG
.5
2.461
1.0
7.9
0.95
6.59
3.651
1.0
7.5
7.55
0.59
1.38
1.0
1.5
3.93
8.83
anayraH
.6
6.15
β
7.11
8.68
8.64-
1.94
β
5.01
9.67
3.83-
2.22
β
0.2
3.74
1.72-
dnahkrahJ
.7
2.202
8.0
4.6
6.502
1.9-
3.091
8.0
9.3
8.881
6.1-
9.071
9.0
9.5
5.961
5.3-
akatanraK
.8
0.771
3.0
7.6
2.29
3.87
0.061
3.0
0.7
6.05
6.201
4.961
2.0
6.31
9.24
1.311
alareK
.9
5.761
β
9.14
4.181
9.55-
7.531
β
9.65
5.241
7.36-
8.89
4.0
8.94
1.801
8.85-
hsedarP
ayhdaM
.01
3.703
β
3.1-
0.172
6.73
5.273
β
2.0
4.332
8.831
2.062
β
2.9
2.002
8.05
arthsarahaM
.11
0.401
β
5.3
5.151
0.15-
4.19
β
6.2
5.221
8.33-
3.64
β
1.2
6.77
3.33-
ahsidO
.21
0.911
β
4.6
6.84
9.36
0.401
β
1.2
5.93
4.26
9.78
β
5.0
0.22
4.56
bajnuP
.31
1.602
1.0
1.4
6.702
6.5-
6.132
1.0
0.2-
5.191
2.24
9.151
1.0
0.5
6.631
4.01
nahtsajaR
.41
3.813
β
0.92
1.342
2.64
5.372
β
7.43
4.302
4.53
8.502
β
2.61
7.171
9.71
udaN limaT
.51
7.961
β
2.51
8.951
3.5-
0.471
β
0.62
8.051
8.2-
β
β
β
β
β
anagnaleT
.61
6.513
β
3.52
5.136
2.143-
8.382
β
9.61
9.095
1.423-
8.632
β
8.8
6.823
7.001-
hsedarP
rattU
.71
8.951
β
5.3
3.651
β
8.832
β
5.1
8.331
6.301
5.352
β
9.4-
3.96
2.981
lagneB tseW
.81
yrogetaC
laicepS
.II
1.5
β
2.0-
7.82
3.32-
6.53
β
1.0-
6.32
1.21
1.61
β
2.0
8.61
9.0-
hsedarP
lahcanurA
.1
8.64
β
7.7
1.49
0.55-
6.261
β
7.7
0.401
9.05
8.73
β
2.8
1.23
4.2-
massA
.2
8.23
β
8.3
5.92
5.0-
3.83
5.6
2.4
3.52
4.51
1.04
β
1.5
6.81
4.61
hsedarP
lahcamiH
.3
3.66
β
8.0
4.69
0.13-
3.66
β
7.0
5.001
9.43-
5.54
β
2.1
1.54
7.0-
rimhsaK
dna ummaJ
.4
8.5
β
β
8.21
9.6-
3.9
β
1.0
0.91
7.9-
7.2-
β
β
9.21
6.51-
rupinaM
.5
2.8
β
β
0.61
8.7-
3.5
β
4.0
1.71
2.21-
8.3
β
2.0
8.01
2.7-
ayalahgeM
.6
1.1
β
β
9.11
8.01-
0.02
β
4.0-
9.01
5.9
5.7
β
β
0.6
5.1
maroziM
.7
6.11
β
β
9.31
3.2-
5.8
β
β
3.31
8.4-
6.4
β
β
1.21
5.7-
dnalagaN
.8
2.5
β
2.0
5.01
4.5-
5.4
β
3.0
0.71
8.21-
5.0
β
1.0
1.9
7.8-
mikkiS
.9
4.91
β
2.0
2.35
0.43-
2.31
β
1.0
7.63
6.32-
5.0-
β
1.0
4.61
0.71-
arupirT
.01
0.14
β
4.1
0.04
4.0-
7.93
β
8.2
4.85
6.12-
5.62
8.1
2.2
1.73
0.11-
dnahkarattU
.11
3.333,3
3.1
6.291
2.976,3
2.735-
6.456,3
7.13
8.281
1.023,3
4.381
5.874,2
6.3
0.171
5.502,2
6.501
setatS
llA
:meti
omeM
2.4
β
9.21
9.27
6.18-
5.3
β
2.51
4.94
0.16-
4.93
β
5.84
1.74
1.65-
ihleD
TCN
.1
1.6
β
β
1.6
β
5.5
β
β
5.6
9.0-
4.5
β
β
6.3
8.1
yrrehcuduP
.2
.elbigilgeN/liN
:βββ
.tic
fieD
lacsiF ssorG
:DFG
.srotacidni
tic
fied
ni
sulprus
setacidni
ngis
)β(
evitageN
.1
:etoN
.aidnI
fo
lareneG
rotiduA
dna
rellortpmoC
morf
era
)stnuoccA(
41-3102
raey
eht
rof
rimhsaK
dna
ummaJ
rof serugiF
.2
.stnemnrevog
etats
eht
fo
stnemucoD
tegduB
:ecruoSState Finances : A Study of Budgets of 2015-16
74
)stnuoccA(
41-3102
β
ticfi
eD
lacsiF
ssorG
fo
gnicnaniF
:5
tnemetatS
)noillib
`
ni
tnuomA(
lacsiF
ssorG
llarevO
srehtO
secnattimeR
esnepsuS
stisopeD
evreseR
tnedivorP
morf
snaoL
laicepS
snaoL
tekraM
etatS
/)β(
sulpruS
sulpruS
dna
dna
sdnuF
,sdnuF
,CIL
seitiruceS
morf
sgniworroB
)+(
ticfi
eD
/)β(
suoenallecsiM
secnavdA
.cte
,DRABAN
ot
deussi
ertneC
)21
ot
2.loC(
)+(
ticfi
eD
,CDCN
FSSN
dna
IBS
sknaB
rehto
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
4.081
5.92-
2.01-
5.0
9.2
9.11
8.3
7.01
8.1-
0.6-
1.1
9.691
hsedarP
arhdnA
.1
5.38
1.02-
1.2-
2.0-
4.0-
7.63
6.2
0.3-
3.01
3.6
1.0-
5.35
rahiB
.2
6.05
3.6-
5.0-
6.3
0.3-
2.81
1.3
7.2
8.5
β
3.1-
4.82
hragsittahhC
.3
5.31
1.0-
1.0-
9.0
8.1-
4.3
5.0
2.1
5.0
8.0-
2.1
8.8
aoG
.4
2.481
8.82
6.9
8.1
3.01-
4.22
0.5
1.5
2.0-
5.3-
0.5-
5.031
tarajuG
.5
1.38
6.82-
8.0-
β
7.2-
9.01
β
2.7
1.11-
3.0
7.1
2.601
anayraH
.6
2.22
7.7-
4.0-
6.1
1.0
5.2-
7.2
1.0
8.4
3.1-
3.0-
4.52
dnahkrahJ
.7
9.071
2.14-
β
1.0-
7.62
4.82
3.1
1.12
5.0-
4.3-
6.4
1.431
akatanraK
.8
4.961
2.52
2.2-
7.1-
5.9-
9.1
3.0-
3.24
β
4.0-
4.0
7.311
alareK
.9
8.89
7.42
6.4-
9.2
6.1
9.4-
7.9
5.9
1.7
7.21
5.4
7.53
hsedarP
ayhdaM
.01
2.062
3.24
1.6
2.11-
1.72-
7.76
8.3-
9.81
5.2-
9.22-
9.0
6.191
arthsarahaM
.11
3.64
6.33
6.2-
3.0
2.0
1.8
3.1-
9.6
7.5
9.3
3.0
8.8-
ahsidO
.21
9.78
8.3-
1.1-
1.1-
4.2-
9.1
4.3
6.91
9.0
4.3-
2.1
6.27
bajnuP
.31
9.151
8.03
1.33
1.0-
1.0
2.4-
7.3-
2.52
7.8
4.7-
3.2-
8.17
nahtsajaR
.41
8.502
7.42
8.0-
3.0
6.11-
9.61-
4.1-
6.21
4.6
3.7-
1.31
8.681
udaN limaT
.51
β
β
β
β
β
β
β
β
β
β
β
β
anagnaleT
.61
8.632
5.111
3.3-
0.1-
4.69-
4.05
5.97
6.32
9.4
7.72
8.01-
5.05
hsedarP rattU
.71
5.352
1.2-
8.1-
9.3
4.92
3.62
2.6
4.8
β
5.11
6.0
0.171
lagneB tseW
.81
yrogetaC laicepS
.II
1.61
2.3
3.1-
9.0-
1.9
4.0
4.0
4.1
7.0
9.0
3.0-
3.2
hsedarP
lahcanurA
.1
8.73
7.32
β
1.0
3.1
6.1
6.2
4.8
5.0
7.6
1.1-
9.5-
massA
.2
1.04
4.81
8.3-
2.0-
9.7-
1.2
β
9.8
9.0
2.4
1.0-
6.71
hsedarP
lahcamiH
.3
5.54
6.9-
1.0-
7.11
6.0-
6.1
0.4
9.91
8.0
5.1
6.0-
9.61
rimhsaK
dna ummaJ
.4
7.2-
9.5-
1.0-
2.0-
1.0
1.0-
β
0.1
1.0
2.0-
5.0-
9.2
rupinaM
.5
8.3
5.8-
1.0-
β
8.0-
3.8
2.0
3.1
1.0
7.0
2.0-
9.2
ayalahgeM
.6
5.7
9.2-
6.0
1.0
3.2
8.1
β
1.3
2.0
1.0
2.0-
3.2
maroziM
.7
6.4
2.2-
4.0-
3.0-
1.0
4.2
β
1.1
1.0
β
2.0-
1.4
dnalagaN
.8
5.0
1.2-
1.0-
1.0
6.0-
β
4.0
6.0
2.0
2.0
2.0-
0.2
mikkiS
.9
5.0-
7.01-
1.0-
5.0
2.0-
9.0
2.0
3.3
3.1
2.0
4.0-
7.4
arupirT
.01
5.62
9.4-
4.2-
2.3
2.2-
5.3
β
2.3
5.3
5.5
2.0-
4.71
dnahkarattU
.11
5.874,2
0.181
3.01
4.41
4.301-
1.282
1.511
3.462
4.74
6.52
0.6
7.536,1
setatS
llA
:meti
omeM
4.93
1.11
β
β
β
β
β
β
β
3.31-
6.14
β
ihleD
TCN
.1
4.5
3.5-
2.1
3.0
5.3
8.0
2.0
3.0
1.0
β
9.0-
0.5
yrrehcuduP
.2
.elbigilgeN/liN
:'β'
.9
elbaT
xidneppA
ni sa emaS
.1 :etoN
'tbeD
lanretnI'
rednu
smeti
gnicnan
fi
ehT
.'srehtO'
rednu
dedulcni
neeb
sah
emas
eht
dna
hsedarP
lahcanurA
rof
elbaliava
ton
saw
'tbeD
lanretnI
fo
egrahcsiD'
fo
pu-kaerb
deliated ehT
.2
.'srehtO'
tpecxe
sisab
ten
a
no
ton
,erofereht
,si
etats eht rof
.dnuf
ycnegnitnoc
dna
tnemelttes
etats-retni
,dnuf
ycnegnitnoc
ot
noitairporppa
,sdnob
noitasnepmoc
,snoitutitsni
rehto
morf
snaoL
edulcni
'srehtO'
.3
.rimhsaK
&
ummaJ
fo
tcepser
ni
31-2102
rof
GAC
,stnemnrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSStatements
75
)stnuoccA(
41-3102
β
latoT
ot
tnec
rep
sA
-ticfi
eD
lacsiF
ssorG
fo
gnicnaniF
:6
tnemetatS
)tnec
reP(
ssorG
llarevO
srehtO
secnattimeR
esnepsuS
stisopeD
evreseR
tnedivorP
morf
snaoL
laicepS
snaoL
tekraM
etatS
lacsiF
sulpruS
dna
dna
sdnuF
,sdnuF
,CIL
seitiruceS
morf
sgniworroB
/)β(
sulpruS
/)β(
suoenallecsiM
secnavdA
.cte
,DRABAN
deussi
ertneC
)+(
ticfi
eD
)+(
ticfi
eD
,CDCN
FSSN
ot
)21
ot
2.loC(
dna
IBS
sknaB
rehto
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
0.001
3.61-
6.5-
3.0
6.1
6.6
1.2
9.5
0.1-
3.3-
6.0
1.901
hsedarP
arhdnA
.1
0.001
0.42-
5.2-
2.0-
5.0-
9.34
1.3
6.3-
3.21
6.7
1.0-
0.46
rahiB
.2
0.001
4.21-
0.1-
1.7
0.6-
0.63
0.6
2.5
5.11
β
7.2-
2.65
hragsittahhC
.3
0.001
1.1-
9.0-
3.6
2.31-
8.42
6.3
5.8
0.4
2.6-
1.9
1.56
aoG
.4
0.001
7.51
2.5
0.1
6.5-
2.21
7.2
8.2
1.0-
9.1-
7.2-
8.07
tarajuG
.5
0.001
5.43-
9.0-
β
2.3-
1.31
β
7.8
3.31-
3.0
1.2
8.721
anayraH
.6
0.001
8.43-
0.2-
0.7
3.0
4.11-
2.21
4.0
4.12
8.5-
5.1-
1.411
dnahkrahJ
.7
0.001
1.42-
β
1.0-
6.51
6.61
8.0
3.21
3.0-
0.2-
7.2
4.87
akatanraK
.8
0.001
9.41
3.1-
0.1-
6.5-
1.1
2.0-
0.52
β
2.0-
2.0
1.76
alareK
.9
0.001
0.52
7.4-
9.2
6.1
9.4-
8.9
6.9
2.7
9.21
6.4
1.63
hsedarP
ayhdaM
.01
0.001
3.61
3.2
3.4-
4.01-
0.62
5.1-
3.7
0.1-
8.8-
4.0
7.37
arthsarahaM
.11
0.001
6.27
7.5-
6.0
5.0
5.71
8.2-
9.41
4.21
4.8
7.0
1.91-
ahsidO
.21
0.001
3.4-
2.1-
2.1-
7.2-
2.2
9.3
3.22
0.1
9.3-
4.1
5.28
bajnuP
.31
0.001
3.02
8.12
β
1.0
8.2-
5.2-
6.61
7.5
9.4-
5.1-
2.74
nahtsajaR
.41
0.001
0.21
4.0-
1.0
6.5-
2.8-
7.0-
1.6
1.3
6.3-
4.6
8.09
udaN limaT
.51
β
β
β
β
β
β
β
β
β
β
β
β
anagnaleT
.61
0.001
1.74
4.1-
4.0-
7.04-
3.12
6.33
0.01
1.2
7.11
5.4-
3.12
hsedarP rattU
.71
0.001
8.0-
7.0-
5.1
6.11
4.01
4.2
3.3
β
5.4
2.0
5.76
lagneB tseW
.81
yrogetaC laicepS
.II
0.001
0.02
3.8-
5.5-
0.75
8.2
6.2
9.8
2.4
8.5
7.1-
3.41
hsedarP
lahcanurA
.1
0.001
7.26
1.0-
3.0
5.3
2.4
8.6
1.22
4.1
7.71
0.3-
5.51-
massA
.2
0.001
8.54
4.9-
6.0-
6.91-
2.5
β
1.22
4.2
6.01
1.0-
8.34
hsedarP
lahcamiH
.3
0.001
0.12-
3.0-
7.52
4.1-
5.3
8.8
7.34
8.1
4.3
4.1-
2.73
rimhsaK
dna ummaJ
.4
0.001
4.412
9.2
7.5
4.5-
3.5
5.1-
7.73-
3.3-
9.7
2.71
5.501-
rupinaM
.5
0.001
1.222-
1.3-
8.0
1.02-
0.612
7.4
3.33
4.2
1.81
0.5-
0.57
ayalahgeM
.6
0.001
1.83-
5.7
9.0
1.13
5.42
2.0
4.14
3.3
0.1
5.2-
6.03
maroziM
.7
0.001
2.84-
3.9-
6.6-
8.1
4.25
β
4.42
5.1
6.0-
9.4-
5.98
dnalagaN
.8
0.001
6.783-
7.01-
3.41
1.111-
5.6
6.17
1.611
6.83
9.82
5.14-
8.473
mikkiS
.9
0.001
8.843,2
7.12
7.001-
1.45
0.302-
6.14-
0.617-
1.782-
4.83-
4.69
3.430,1-
arupirT
.01
0.001
4.81-
0.9-
0.21
4.8-
3.31
1.0-
2.21
2.31
6.02
6.0-
5.56
dnahkarattU
.11
0.001
3.7
4.0
6.0
2.4-
4.11
6.4
7.01
9.1
0.1
2.0
0.66
setatS
llA
:meti
omeM
0.001
0.82
β
β
β
β
β
β
β
6.33-
6.501
β
ihleD
TCN
.1
0.001
3.89-
9.22
0.6
2.66
9.41
9.2
3.6
4.2
β
6.61-
3.39
yrrehcuduP
.2
.elbigilgeN/liN
:
'β'
.9
elbaT
xidneppA
ni sa emaS
)1( :etoN
lanretnI'
rednu
smeti
gnicnan
fi
ehT
.'srehtO'
rednu
dedulcni
neeb
sah
emas
eht
dna
hsedarP
lahcanurA
rof
elbaliava
ton
saw
'tbeD
lanretnI
fo egrahcsiD'
fo
pu-kaerb
deliated ehT
)2(
.'srehtO'
tpecxe
sisab
ten
a
no ton
,erofereht
,si
etats
eht rof 'tbeD
.dnuf
ycnegnitnoc
dna
tnemelttes
etats-retni
,dnuf
ycnegnitnoc
ot
noitairporppa
sdnob
noitasnepmoc
,snoitutitsni
rehto
morf
snaoL
edulcni
'srehtO'
)3(
evitisop
tneserper
tnenopmoc
a
fo
ngis
evitisop
eht
setats
eseht
htob
rof
;DFG
sulprus
fo
thgil
ni
nees
eb
ot
sdeen
tnenopmoc
evitcepser
fo
noitubirtnoc
eht
rupinaM
dna
arupirT
fo esac nI
)4(
.DFG
fo
noitcuder
ni
noitubirtnoc
evitagen
a
tneserper
ngis
evitagen
a saerehw
noitubirtnoc
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnemnrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSState Finances : A Study of Budgets of 2015-16
76
)ER(
51-4102
β
ticfi
eD
lacsiF
ssorG
fo
gnicnaniF
:7
tnemetatS
)noillib
`
ni
tnuomA(
ssorG
llarevO
srehtO
secnattimeR
esnepsuS
stisopeD
evreseR
tnedivorP
morf
snaoL
laicepS
snaoL
tekraM
etatS
lacsiF
sulpruS
dna
dna
sdnuF
,sdnuF
,CIL
seitiruceS
morf
sgniworroB
/)β(
sulpruS
/)β(
suoenallecsiM
secnavdA
.cte
,DRABAN
deussi
ertneC
)+(
ticfi
eD
ticfi
eD
,CDCN
FSSN
ot
)21
ot
2.loC(
)+(
dna
IBS
sknaB
rehto
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
2.302
1.71
8.71
β
β
4.4-
4.4
6.8
8.1
7.7-
2.3
3.261
hsedarP
arhdnA
.1
2.823
0.312
1.2-
β
β
6.1
β
4.2
0.71
1.7
2.21
0.77
rahiB
.2
7.75
4.0
5.0-
β
β
3.0
4.1
5.3
5.31
β
1.1-
1.04
hragsittahhC
.3
4.71
4.4
2.2-
β
2.1
8.1
1.0
0.2
5.0
9.0-
0.2
7.8
aoG
.4
8.381
6.71-
5.21
β
β
1.23
β
9.6
2.0-
0.3-
1.0-
3.351
tarajuG
.5
3.651
2.61
8.1-
7.0
1.0-
6.92
4.0
6.6
4.32-
4.1-
2.0-
7.921
anayraH
.6
1.94
2.4-
7.3-
9.1
1.0
3.2-
9.2
1.0
1.4-
4.4-
5.0
3.26
dnahkrahJ
.7
3.091
7.1-
1.0-
β
β
4.1-
5.0-
2.91
3.1
β
1.6
3.761
akatanraK
.8
0.061
1.0
6.1-
6.0-
8.6-
7.3
9.0-
2.72
5.0-
1.0-
9.7
5.131
alareK
.9
7.531
3.81
1.7-
1.3
8.6-
0.3
0.2
1.9
0.6
5.8
5.71
2.28
hsedarP
ayhdaM
.01
5.273
8.41
3.84
β
7.0
8.56
3.8-
9.62
7.1-
2.81-
6.12
6.222
arthsarahaM
.11
4.19
6.84
0.1-
1.36-
3.1
5.41
2.9
0.01
2.61
5.0-
0.41
2.24
ahsidO
.21
0.401
β
1.1-
β
β
5.0-
9.3
9.91
4.0-
1.1
2.4
8.67
bajnuP
.31
6.132
3.76
8.22
β
β
3.2
1.1-
6.82
5.01
4.21-
7.6
0.701
nahtsajaR
.41
5.372
7.02
4.0-
5.0
7.6-
0.21-
1.1
9.31
4.7
3.5-
6.01
8.342
udaN limaT
.51
0.471
1.0-
2.5-
β
β
5.14
3.3
9.2
1.1
1.5-
4.41
1.121
anagnaleT
.61
8.382
6.24-
2.84
0.21-
7.27
8.9-
8.5-
8.44
7.3
0.32
3.8-
0.071
hsedarP rattU
.71
8.832
8.01
9.4-
β
β
8.31
0.2-
1.9
β
6.21
3.8
2.191
lagneB tseW
.81
yrogetaC laicepS
.II
6.53
8.21
1.4-
1.0-
9.8
7.11
4.0
7.0
9.0
6.1
3.0-
1.3
hsedarP
lahcanurA
.1
6.261
5.021
β
3.0-
3.0
7.1
β
2.9
3.2
5.7
1.0
3.12
massA
.2
3.83
5.3
5.1-
β
β
0.2
β
3.9
0.1
0.3
6.0
5.02
hsedarP
lahcamiH
.3
3.66
7.63
β
β
2.0
β
4.0
2.41
β
3.1
9.0-
7.41
rimhsaK
dna ummaJ
.4
3.9
3.5
3.0-
β
β
6.0-
β
1.0
1.0
4.0-
4.0-
7.5
rupinaM
.5
3.5
5.3-
1.0-
β
2.0
3.2
β
6.1
2.0
7.0
1.0-
9.3
ayalahgeM
.6
0.02
3.71
1.0
2.0
β
2.0
β
8.0
4.0-
2.0
1.0-
8.1
maroziM
.7
5.8
0.3
1.5
β
β
1.4-
β
0.1
2.0-
β
2.0-
8.3
dnalagaN
.8
5.4
3.0
1.0-
β
β
β
4.0
1.0
5.0
1.0
β
1.3
mikkiS
.9
2.31
7.4
3.1-
1.0
β
1.0
β
6.3
3.1
1.0-
3.0-
1.5
arupirT
.01
7.93
5.3
8.0-
5.0-
9.1
3.2-
2.0
0.2
2.4
2.5
2.0
2.62
dnahkarattU
.11
6.456,3
6.965
9.411
0.07-
0.76
7.091
3.11
1.482
6.85
3.21
0.811
2.892,2
setatS
llA
:meti
omeM
5.3
3.8
β
β
β
β
β
β
β
8.61-
0.21
β
ihleD
TCN
.1
5.5
5.0
7.1
2.0
2.0
3.0
4.1-
2.0
1.0
β
9.0-
7.4
yrrehcuduP
.2
.setamitsE
desiveR
:ER .elbigilgeN/liN
:
'β'
.9
elbaT
xidneppA
ni sa emaS
)1( :etoN
'tbeD
lanretnI'
rednu
smeti
gnicnan
fi
ehT
.'srehtO'
rednu
dedulcni
neeb
sah
emas
eht
dna
hsedarP
lahcanurA
rof
elbaliava
ton
saw
'tbeD
lanretnI
fo
egrahcsiD'
fo
pu-kaerb
deliated ehT
)2(
.'srehtO'
tpecxe
sisab
ten
a
no
ton
,erofereht
,si
etats eht rof
.dnuf
ycnegnitnoc
dna
tnemelttes
etats-retni
,dnuf
ycnegnitnoc
ot
noitairporppa
sdnob
noitasnepmoc
,snoitutitsni
rehto
morf
snaoL
edulcni
'srehtO'
)3(
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnemnrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSStatements
77
)ER(
51-4102
β
latoT
ot
tnec
rep
sA
-ticfi
eD
lacsiF
ssorG
fo
gnicnaniF
:8
tnemetatS
)tnec
reP(
ssorG
llarevO
srehtO
secnattimeR
esnepsuS
stisopeD
evreseR
tnedivorP
morf
snaoL
laicepS
snaoL
tekraM
etatS
lacsiF
sulpruS
dna
dna
sdnuF
,sdnuF
,CIL
seitiruceS
morf
sgniworroB
/)β(
sulpruS
/)β(
suoenallecsiM
secnavdA
.cte
,DRABAN
deussi
ertneC
)+(
ticfi
eD
)+(
ticfi
eD
,CDCN
FSSN
ot
)21
ot
2.loC(
dna
IBS
sknaB
rehto
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
0.001
4.8
8.8
β
β
2.2-
2.2
2.4
9.0
8.3-
6.1
9.97
hsedarP
arhdnA
.1
0.001
9.46
6.0-
β
β
5.0
β
7.0
2.5
1.2
7.3
5.32
rahiB
.2
0.001
7.0
8.0-
β
β
5.0
4.2
1.6
5.32
1.0
8.1-
5.96
hragsittahhC
.3
0.001
1.52
4.21-
2.0-
7.6
5.01
5.0
3.11
6.2
0.5-
3.11
7.94
aoG
.4
0.001
6.9-
8.6
β
β
5.71
β
7.3
1.0-
6.1-
1.0-
4.38
tarajuG
.5
0.001
4.01
1.1-
5.0
β
0.91
2.0
2.4
0.51-
9.0-
2.0-
0.38
anayraH
.6
0.001
6.8-
5.7-
9.3
2.0
7.4-
8.5
3.0
4.8-
9.8-
0.1
8.621
dnahkrahJ
.7
0.001
9.0-
β
β
β
7.0-
3.0-
1.01
7.0
β
2.3
9.78
akatanraK
.8
0.001
1.0
0.1-
4.0-
3.4-
3.2
6.0-
0.71
3.0-
β
9.4
2.28
alareK
.9
0.001
5.31
3.5-
3.2
0.5-
2.2
5.1
7.6
5.4
3.6
9.21
6.06
hsedarP
ayhdaM
.01
0.001
0.4
0.31
β
2.0
7.71
2.2-
2.7
4.0-
9.4-
8.5
8.95
arthsarahaM
.11
0.001
2.35
1.1-
1.96-
4.1
9.51
1.01
9.01
7.71
6.0-
3.51
2.64
ahsidO
.21
0.001
β
1.1-
β
β
5.0-
8.3
2.91
3.0-
0.1
0.4
9.37
bajnuP
.31
0.001
0.92
8.9
β
β
0.1
5.0-
4.21
5.4
4.5-
9.2
2.64
nahtsajaR
.41
0.001
6.7
2.0-
2.0
4.2-
4.4-
4.0
1.5
7.2
0.2-
9.3
2.98
udaN limaT
.51
0.001
β
0.3-
β
β
9.32
9.1
7.1
6.0
9.2-
3.8
6.96
anagnaleT
.61
0.001
0.51-
0.71
2.4-
6.52
4.3-
1.2-
8.51
3.1
1.8
9.2-
9.95
hsedarP
rattU
.71
0.001
5.4
1.2-
β
β
8.5
8.0-
8.3
β
3.5
5.3
1.08
lagneB tseW
.81
yrogetaC
laicepS
.II
0.001
1.63
7.11-
4.0-
0.52
8.23
2.1
8.1
6.2
5.4
7.0-
6.8
hsedarP
lahcanurA
.1
0.001
1.47
β
2.0-
2.0
1.1
β
7.5
4.1
6.4
β
1.31
massA
.2
0.001
2.9
0.4-
β
β
2.5
β
1.42
5.2
9.7
7.1
4.35
hsedarP
lahcamiH
.3
0.001
3.55
β
β
2.0
β
6.0
3.12
β
9.1
4.1-
1.22
rimhsaK
dna ummaJ
.4
0.001
4.65
4.3-
β
β
9.5-
β
1.1
8.0
8.4-
7.4-
6.06
rupinaM
.5
0.001
8.56-
6.2-
6.0
6.3
2.44
β
8.92
6.4
4.21
3.1-
4.47
ayalahgeM
.6
0.001
5.68
3.0
7.0
β
0.1
1.0
0.4
9.1-
2.1
7.0-
8.8
maroziM
.7
0.001
6.53
5.06
β
β
7.84-
β
6.11
4.2-
5.0
1.2-
9.44
dnalagaN
.8
0.001
9.6
4.1-
β
β
β
1.8
7.2
7.01
0.3
9.0
2.96
mikkiS
.9
0.001
5.53
7.9-
8.0
3.0-
8.0
2.0
1.72
8.9
5.0-
2.2-
5.83
arupirT
.01
0.001
7.8
0.2-
2.1-
9.4
8.5-
4.0
0.5
5.01
1.31
4.0
1.66
dnahkarattU
.11
0.001
6.51
1.3
9.1-
8.1
2.5
3.0
8.7
6.1
3.0
2.3
9.26
setatS
llA
:meti
omeM
0.001
6.432
β
β
β
β
β
β
β
3.374-
7.833
β
ihleD
TCN
.1
0.001
6.8
0.03
7.2
0.4
5.5
6.42-
9.3
2.2
β
1.71-
0.58
yrrehcuduP
.2
.setamitsE
desiveR
:ER
.elbigilgeN/liN
: βββ
.9
elbaT
xidneppA
ni
sa emaS
)1(
:etoN
'tbeD
lanretnI'
rednu
smeti
gnicnan
fi
ehT
.'srehtO'
rednu
dedulcni
neeb
sah
emas
eht
dna
hsedarP
lahcanurA
rof
elbaliava
ton
saw
'tbeD
lanretnI
fo
egrahcsiD'
fo
pu-kaerb
deliated
ehT
)2(
.'srehtO'
tpecxe
sisab
ten
a
no
ton
,erofereht
,si
etats
eht rof
.dnuf
ycnegnitnoc
dna
tnemelttes
etats-retni
,dnuf
ycnegnitnoc
ot
noitairporppa
sdnob
noitasnepmoc
,snoitutitsni
rehto
morf
snaoL
edulcni
'srehtO'
)3(
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnemnrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSState Finances : A Study of Budgets of 2015-16
78
)EB(
61-5102
β
ticfi
eD
lacsiF
ssorG
fo
gnicnaniF
:9
tnemetatS
)noillib
` ni
tnuomA(
lacsiF
ssorG
llarevO
srehtO
secnattimeR
esnepsuS
stisopeD
evreseR
tnedivorP
,CIL
morf
snaoL
laicepS
snaoL
tekraM
etatS
/)β(
sulpruS
sulpruS
dna
dna
sdnuF
,sdnuF
,DRABAN
seitiruceS
morf
sgniworroB
)+(
ticfi
eD
/)β(
suoenallecsiM
secnavdA
.cte
,CDCN
deussi
ertneC
)21
ot
2.loC(
ticfi
eD
rehto
dna
IBS
FSSN
ot
)+(
sknaB
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
8.571
0.2
9.3-
β
β
6.4-
6.2
5.9
8.1
7.7-
1.6
1.071
hsedarP
arhdnA
.1
8.531
5.0-
1.2-
β
β
8.1
β
6.3-
9.41
1.6
7.02
5.89
rahiB
.2
4.86
6.0
5.0-
β
β
3.0
4.1
5.3
1.31
1.0-
1.1-
2.15
hragsittahhC
.3
1.72
7.21
1.0-
β
2.1
9.1
1.0
2.1
2.0
9.0-
1.2
8.8
aoG
.4
5.022
2.1-
5.01
β
β
8.52
β
7.6
2.0-
3.8-
3.0-
5.781
tarajuG
.5
2.461
3.71-
4.3-
5.0
6.2
6.8
6.0
6.6
3.2
8.1-
8.4
9.061
anayraH
.6
6.15
3.4-
1.0
0.2
1.0
4.2-
9.2
1.0
0.4
9.1-
3.3
6.74
dnahkrahJ
.7
2.202
9.3
1.0-
β
0.5
β
β
7.12
5.1
3.01-
5.9
0.171
akatanraK
.8
0.771
2.0-
8.0-
1.3-
6.6-
8.3
β
0.81
6.0-
1.0-
3.11
2.551
alareK
.9
5.761
3.81
5.3-
3.3
5.51
4.31-
7.1
8.5
7.5
3.9
8.11
9.211
hsedarP
ayhdaM
.01
3.703
1.82-
3.61
β
7.0
6.17
3.71-
5.91
1.2-
4.02-
7.43
4.232
arthsarahaM
.11
0.401
0.74-
0.1-
4.9-
6.89
2.73-
1.0
0.8
0.02
9.1-
4.9
5.46
ahsidO
.21
0.911
5.0
2.1-
β
β
5.0-
5.5-
8.71
5.2
0.4-
8.4
5.401
bajnuP
.31
1.602
4.0-
4.62
β
β
2.2
3.0
8.03
1.11
5.21-
3.91
0.921
nahtsajaR
.41
3.813
6.02
3.0-
5.0
9.5-
1.21-
8.01
3.41
5.7
5.31-
1.61
3.082
udaN limaT
.51
7.961
β
3.3-
β
β
0.3
5.4
0.3
6.9
5.6-
5.3
8.551
anagnaleT
.61
6.513
7.64-
4.94
0.21-
3.17
9.13-
1.82
9.05
0.7
9.91
4.7-
0.781
hsedarP
rattU
.71
8.951
9.47-
9.4
0.01-
β
1.62
7.0-
0.01
β
1.9
7.5-
0.102
lagneB tseW
.81
yrogetaC
laicepS
.II
1.5
6.05
0.3-
1.0-
4.9
5.16-
3.2
7.0
6.3
3.1
3.0-
2.2
hsedarP
lahcanurA
.1
8.64
9.0
β
3.0-
3.0
9.1
β
1.01
1.4
4.7
1.4
3.81
massA
.2
8.23
β
8.0-
β
β
β
β
0.9
5.0
2.2-
2.0-
5.62
hsedarP
lahcamiH
.3
3.66
2.83
β
β
1.0-
β
4.0
2.41
β
β
2.1-
8.41
rimhsaK
dna ummaJ
.4
8.5
1.0
1.0-
β
β
7.0-
β
5.0
β
4.0-
4.0-
0.7
rupinaM
.5
2.8
1.1
1.0-
β
β
1.0
β
7.1
3.0
2.0-
1.0-
3.5
ayalahgeM
.6
1.1
1.3-
2.0
2.0
β
2.0
β
8.2
1.0-
1.0-
β
1.1
maroziM
.7
6.11
1.31
4.0-
β
β
4.8-
β
7.0
β
2.0
1.0-
5.6
dnalagaN
.8
2.5
β
1.0-
β
β
β
2.0-
4.0
1.0
1.0
β
9.4
mikkiS
.9
4.91
7.6
1.0-
1.0
1.0-
1.0
β
6.5
3.1
8.0-
3.0-
9.6
arupirT
.01
0.14
8.1
2.0
5.3-
1.0
7.2
4.0
1.2
4.4
9.5
5.0
4.62
dnahkarattU
.11
3.333,3
7.25-
3.38
9.13-
0.291
7.22-
6.23
4.172
7.211
3.43-
8.441
0.836,2
setatS
llA
:meti
omeM
2.4
4.11
β
β
β
β
β
β
β
7.71-
4.01
β
ihleD
TCN
.1
1.6
5.0
5.1
2.0
2.0
3.0
5.1-
2.0
6.0
β
5.0-
5.4
yrrehcuduP
.2
.setamitsE
tegduB
:EB
.elbigilgeN/liN
: βββ
.9
elbaT
xidneppA
ni
sa emaS
)1(
:etoN
'tbeD
lanretnI'
rednu
smeti
gnicnan
fi
ehT
.'srehtO'
rednu
dedulcni
neeb
sah
emas
eht
dna
hsedarP
lahcanurA
rof
elbaliava
ton
saw
'tbeD
lanretnI
fo
egrahcsiD'
fo pu-kaerb
deliated
ehT
)2(
.'srehtO'
tpecxe
sisab
ten
a no
ton
,erofereht
,si
etats
eht rof
.dnuf
ycnegnitnoc
dna
tnemelttes
etats-retni
,dnuf
ycnegnitnoc
ot
noitairporppa
sdnob
noitasnepmoc
,snoitutitsni
rehto
morf
snaoL
edulcni
βsrehtOβ
)3(
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnemnrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSStatements
79
)EB(
61-5102
β
latoT
ot
tnec
rep
sA
β
ticfi
eD
lacsiF
ssorG
fo
gnicnaniF
:01
tnemetatS
)tnec
reP(
ssorG
llarevO
srehtO
secnattimeR
esnepsuS
stisopeD
evreseR
tnedivorP
morf
snaoL
laicepS
snaoL
tekraM
etatS
lacsiF
sulpruS
dna
dna
sdnuF
,sdnuF
,CIL
seitiruceS
morf
sgniworroB
/)β(
sulpruS
/)β(
suoenallecsiM
secnavdA
.cte
,DRABAN
deussi
ertneC
)+(
ticfi
eD
)+(
ticfi
eD
,CDCN
FSSN
ot
)21
ot
2.loC(
dna
IBS
sknaB
rehto
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
0.001
1.1
2.2-
β
β
6.2-
5.1
4.5
0.1
4.4-
5.3
7.69
hsedarP
arhdnA
.1
0.001
4.0-
5.1-
β
β
3.1
β
7.2-
0.11
5.4
2.51
5.27
rahiB
.2
0.001
9.0
7.0-
β
β
5.0
0.2
1.5
1.91
1.0-
6.1-
9.47
hragsittahhC
.3
0.001
8.64
4.0-
2.0-
6.4
9.6
3.0
3.4
8.0
5.3-
6.7
6.23
aoG
.4
0.001
6.0-
8.4
β
β
7.11
β
0.3
1.0-
7.3-
2.0-
1.58
tarajuG
.5
0.001
6.01-
1.2-
3.0
6.1
3.5
3.0
0.4
4.1
1.1-
9.2
0.89
anayraH
.6
0.001
3.8-
1.0
9.3
2.0
6.4-
7.5
3.0
8.7
6.3-
4.6
2.29
dnahkrahJ
.7
0.001
9.1
β
β
5.2
β
β
7.01
7.0
1.5-
7.4
6.48
akatanraK
.8
0.001
1.0-
4.0-
7.1-
7.3-
1.2
β
2.01
3.0-
1.0-
4.6
7.78
alareK
.9
0.001
9.01
1.2-
0.2
3.9
0.8-
0.1
5.3
4.3
6.5
1.7
4.76
hsedarP
ayhdaM
.01
0.001
1.9-
3.5
β
2.0
3.32
6.5-
3.6
7.0-
6.6-
3.11
6.57
arthsarahaM
.11
0.001
2.54-
0.1-
0.9-
8.49
8.53-
1.0
7.7
2.91
8.1-
0.9
0.26
ahsidO
.21
0.001
4.0
0.1-
β
β
5.0-
6.4-
9.41
1.2
3.3-
1.4
8.78
bajnuP
.31
0.001
2.0-
8.21
β
β
1.1
2.0
9.41
4.5
1.6-
4.9
6.26
nahtsajaR
.41
0.001
5.6
1.0-
2.0
9.1-
8.3-
4.3
5.4
4.2
2.4-
1.5
1.88
udaN limaT
.51
0.001
β
0.2-
β
β
8.1
6.2
8.1
7.5
8.3-
1.2
8.19
anagnaleT
.61
0.001
8.41-
7.51
8.3-
6.22
1.01-
9.8
1.61
2.2
3.6
3.2-
2.95
hsedarP
rattU
.71
0.001
9.64-
1.3
3.6-
β
3.61
4.0-
3.6
β
7.5
6.3-
8.521
lagneB tseW
.81
yrogetaC
laicepS
.II
0.001
6.389
9.85-
6.2-
9.181
5.5911-
2.44
4.31
4.07
2.62
2.5-
4.24
hsedarP
lahcanurA
.1
0.001
0.2
β
6.0-
7.0
1.4
β
6.12
7.8
7.51
7.8
1.93
massA
.2
0.001
β
4.2-
β
β
β
β
4.72
6.1
8.6-
6.0-
7.08
hsedarP
lahcamiH
.3
0.001
6.75
β
β
2.0-
β
6.0
4.12
β
β
8.1-
4.22
rimhsaK
dna ummaJ
.4
0.001
0.1
3.1-
β
β
0.21-
β
4.8
2.0
6.7-
5.7-
9.811
rupinaM
.5
0.001
6.31
5.1-
3.0
2.0
5.1
β
2.12
6.3
3.2-
9.0-
4.46
ayalahgeM
.6
0.001
6.482-
2.41
7.31
β
2.81
7.2
0.152
0.9-
1.7-
4.0
5.001
maroziM
.7
0.001
7.211
5.3-
β
β
5.27-
β
3.6
2.0
6.1
9.0-
0.65
dnalagaN
.8
0.001
β
3.1-
β
β
β
1.3-
3.7
4.1
5.2
8.0-
9.39
mikkiS
.9
0.001
7.43
4.0-
5.0
6.0-
5.0
β
8.82
5.6
1.4-
6.1-
6.53
arupirT
.01
0.001
5.4
6.0
5.8-
1.0
5.6
1.1
1.5
8.01
4.41
1.1
4.46
dnahkarattU
.11
0.001
6.1-
5.2
0.1-
8.5
7.0-
0.1
1.8
4.3
0.1-
3.4
1.97
setatS
llA
:meti
omeM
0.001
0.472
β
β
β
β
β
β
β
5.224-
5.842
β
ihleD
TCN
.1
0.001
6.8
3.52
7.2
0.4
5.5
6.42-
9.3
5.9
β
9.8-
0.47
yrrehcuduP
.2
.setamitsE
tegduB
:EB
.elbigilgeN/liN
: βββ
.9
elbaT
xidneppA
ni
sa emaS
)1(
:etoN
'tbeD
lanretnI'
rednu
smeti
gnicnan
fi
ehT
.'srehtO'
rednu
dedulcni
neeb
sah
emas
eht
dna
hsedarP
lahcanurA
rof
elbaliava
ton
saw
'tbeD
lanretnI
fo
egrahcsiD'
fo pu-kaerb
deliated
ehT
)2(
.'srehtO'
tpecxe
sisab
ten
a
no
ton
,erofereht
,si
etats
eht rof
.dnuf
ycnegnitnoc
dna
tnemelttes
etats-retni
,dnuf
ycnegnitnoc
ot
noitairporppa
sdnob
noitasnepmoc
,snoitutitsni
rehto
morf
snaoL
edulcni
'srehtO'
)3(
.rimhsaK
& ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnemnrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSState Finances : A Study of Budgets of 2015-16
80
*erutidnepxE
tnempoleveD
:11
tnemetatS
)noillib
`
ni
tnuomA( noitairaV
61-5102
51-4102
41-3102
etatS
)tnec
reP(
)setamitsE
tegduB(
)setamitsE
desiveR(
)stnuoccA(
7.loC/01.loC
4.loC/7.loC
latoT
nalP-noN
nalP
latoT
nalP-noN
nalP
latoT
nalP-noN
nalP
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
6.0
5.71-
3.957
4.914
9.933
9.457
3.035
6.422
7.419
6.694
1.814
hsedarP
arhdnA
.1
7.31-
1.77
0.428
0.292
0.235
2.559
0.582
2.076
2.935
9.512
3.323
rahiB
.2
8.71
1.15
8.925
3.931
5.093
6.944
5.001
0.943
5.792
1.501
4.291
hragsittahhC
.3
3.72
0.92
1.19
8.83
3.25
5.17
0.33
5.83
4.55
4.03
1.52
aoG
.4
3.7
1.42
4.939
3.213
1.726
2.578
1.613
1.955
3.507
5.292
8.214
tarajuG
.5
4.31
1.13
5.284
7.032
8.152
5.524
1.902
3.612
6.423
2.171
4.351
anayraH
.6
7.7
5.001
9.393
4.98
5.403
9.563
7.701
2.852
5.281
8.47
7.701
dnahkrahJ
.7
9.5
5.12
0.289
9.793
1.485
6.729
4.593
2.235
3.367
5.843
7.414
akatanraK
.8
9.12
6.42
2.425
7.513
6.802
0.034
2.062
8.961
1.543
0.832
1.701
alareK
.9
2.3
8.74
9.129
4.553
5.665
2.398
9.083
3.215
3.406
1.192
3.313
hsedarP
ayhdaM
.01
7.0
6.62
4.225,1
1.328
4.996
3.215,1
6.319
7.895
6.491,1
9.657
6.734
arthsarahaM
.11
8.11
1.93
5.206
9.302
5.893
9.835
7.281
1.653
5.783
0.461
5.322
ahsidO
.21
2.01
4.82
6.523
9.852
6.66
5.592
3.332
2.26
2.032
8.891
4.13
bajnuP
.31
2.01
7.83
6.900,1
7.744
9.165
3.619
0.414
3.205
6.066
1.353
6.703
nahtsajaR
.41
2.7
1.42
9.211,1
7.815
2.495
8.730,1
8.074
9.665
5.638
0.114
5.524
udaN limaT
.51
7.51
β
0.278
2.753
9.415
0.457
3.972
7.474
β
β
β
anagnaleT
.61
3.9
4.44
8.058,1
5.418
4.630,1
9.396,1
8.047
2.359
3.371,1
5.075
8.206
hsedarP
rattU
.71
7.6
2.23
6.218
6.323
0.984
9.167
1.723
8.434
3.675
8.992
5.672
lagneB tseW
.81
yrogetaC
laicepS
.II
1.6-
6.75
8.08
7.72
2.35
0.68
2.52
8.06
6.45
4.22
2.23
hsedarP
lahcanurA
.1
7.5-
0.101
3.224
3.271
9.942
9.744
6.271
4.572
8.222
3.721
6.59
massA
.2
9.31
2.42
3.871
3.111
0.76
5.651
9.59
6.06
0.621
0.08
0.64
hsedarP
lahcamiH
.3
2.0
7.53
2.762
β
β
5.662
1.751
4.901
4.691
4.241
0.45
rimhsaK
dna ummaJ
.4
6.81-
4.87
3.85
8.91
4.83
6.17
5.02
1.15
1.04
3.81
9.12
rupinaM
.5
3.72-
9.101
4.96
3.91
1.05
5.59
9.22
6.27
3.74
1.91
2.82
ayalahgeM
.6
7.01-
7.34
8.84
6.71
2.13
6.45
3.02
4.43
0.83
6.61
4.12
maroziM
.7
9.6
3.83
8.95
7.92
1.03
0.65
6.52
4.03
5.04
1.22
4.81
dnalagaN
.8
2.11-
6.95
4.83
9.11
5.62
2.34
4.01
8.23
1.72
8.9
3.71
mikkiS
.9
1.81
5.37
8.99
8.82
0.17
5.48
3.82
1.65
7.84
6.02
0.82
arupirT
.01
2.7-
7.16
4.891
9.38
5.411
8.312
5.08
2.331
2.231
2.37
0.95
dnahkarattU
.11
5.5
5.14
0.870,61
7.068,6
1.059,8
3.532,51
3.938,6
0.693,8
5.467,01
9.965,5
7.491,5
setatS
llA
:meti
omeM
9.02
2.3-
9.103
8.121
2.081
7.942
8.29
9.651
1.852
7.911
4.831
ihleD
TCN
.1
7.31
7.61
2.74
2.22
0.52
5.14
2.02
4.12
6.53
4.91
2.61
yrrehcuduP
.2
.sesoprup
tnempoleved
rof
setats
yb
dednetxe
secnavda
dna
snaol
dna
stnuocca
latipac
dna
eunever
no
erutidnepxe
esirpmoC
:*
.rimhsaK
&
ummaJ
yb
nevig
ton
si
pu
kaerb
eht
sa
pu
dda
ton
lliw
)EB(
61-5102
rof
pu
kaerb
nalp
non-nalp
setats
llA :etoN
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnmenrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSStatements
81
*erutidnepxE
tnempoleveD-noN
:21
tnemetatS
)noillib
`
ni
tnuomA( noitairaV
61-5102
51-4102
41-3102
etatS
)tnec
reP(
)setamitsE
tegduB(
)setamitsE
desiveR(
)stnuoccA(
7.loC/01.loC
4.loC/7.loC
latoT
nalP-noN
nalP
latoT
nalP-noN
nalP
latoT
nalP-noN
nalP
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
1.4
4.81-
7.913
4.513
2.4
2.703
3.403
9.2
6.673
8.273
8.3
hsedarP
arhdnA
.1
0.4
5.14
9.343
6.103
3.24
6.033
8.092
8.93
6.332
1.022
4.31
rahiB
.2
5.02
3.31
7.901
1.501
5.4
0.19
2.78
8.3
3.08
7.77
6.2
hragsittahhC
.3
5.63
8.41
6.53
0.62
6.9
1.62
3.22
8.3
7.22
5.02
2.2
aoG
.4
0.61
4.51
5.073
3.933
3.13
4.913
2.592
2.42
8.672
2.262
6.41
tarajuG
.5
8.01
3.33
8.602
1.102
7.5
6.681
8.181
7.4
0.041
3.631
7.3
anayraH
.6
8.21
0.12
4.831
5.121
9.61
7.221
0.511
7.7
4.101
1.79
3.4
dnahkrahJ
.7
5.21
6.11
9.913
9.903
0.01
5.482
5.472
0.01
8.452
5.842
3.6
akatanraK
.8
1.02
2.31
1.463
9.063
2.3
0.303
2.003
9.2
6.762
5.562
1.2
alareK
.9
4.93
6.41
9.133
7.403
3.72
1.832
0.232
1.6
9.702
1.502
8.2
hsedarP
ayhdaM
.01
9.51
3.81
9.457
1.937
8.51
2.156
4.536
8.51
6.055
8.735
8.21
arthsarahaM
.11
5.11
1.92
2.402
4.791
8.6
2.381
4.671
8.6
9.141
9.531
1.6
ahsidO
.21
6.6
6.31
8.742
4.542
4.2
4.232
5.922
9.2
6.402
4.302
2.1
bajnuP
.31
2.9
5.32
2.913
9.703
3.11
3.292
5.972
8.21
7.632
7.922
0.7
nahtsajaR
.41
5.11
6.52
7.905
2.184
5.82
3.754
5.934
7.71
1.463
1.063
0.4
udaN limaT
.51
5.11
β
1.642
1.732
0.9
6.022
8.802
8.11
β
β
β
anagnaleT
.61
3.91
7.01
5.468
0.928
5.53
9.427
1.496
8.03
6.456
5.626
0.82
hsedarP
rattU
.71
3.8
5.6
8.474
9.464
9.9
3.834
9.824
4.9
4.114
7.604
7.4
lagneB tseW
.81
yrogetaC
laicepS
.II
4.87
5.61
0.14
3.82
7.21
0.32
9.91
1.3
7.91
4.71
3.2
hsedarP
lahcanurA
.1
8.31
2.62
3.851
6.251
6.5
1.931
1.821
0.11
2.011
0.501
2.5
massA
.2
0.61
8.8
0.09
8.88
2.1
6.77
2.67
4.1
3.17
1.07
2.1
hsedarP
lahcamiH
.3
1.22
5.02
3.771
β
β
2.541
0.031
2.51
5.021
4.411
1.6
rimhsaK
dna ummaJ
.4
8.3-
5.02
9.03
9.82
0.2
1.23
4.82
7.3
6.62
4.42
3.2
rupinaM
.5
1.8
1.01
1.32
8.12
3.1
4.12
7.91
7.1
4.91
4.81
0.1
ayalahgeM
.6
0.92
6.8
5.42
3.32
1.1
0.91
0.71
0.2
5.71
0.61
5.1
maroziM
.7
8.12
8.41
7.04
8.53
9.4
4.33
8.03
6.2
1.92
1.72
0.2
dnalagaN
.8
1.53-
9.63
6.41
0.31
6.1
4.22
9.91
6.2
4.61
9.31
4.2
mikkiS
.9
9.62
7.92
6.24
8.92
9.21
6.33
1.82
5.5
9.52
3.32
6.2
arupirT
.01
3.8
9.13
3.09
5.88
8.1
4.38
3.08
1.3
2.36
2.26
0.1
dnahkarattU
.11
2.41
7.91
8.498,6
4.893,6
1.913
4.930,6
5.377,5
8.562
5.540,5
2.898,4
3.741
setatS
llA
:meti
omeM
0.31
5.81
8.18
0.27
8.9
4.27
8.56
6.6
1.16
0.75
2.4
ihleD
TCN
.1
9.3-
2.02
8.41
9.21
9.1
4.51
9.31
5.1
8.21
9.11
9.0
yrrehcuduP
.2
.sesoprup
tnempoleved-non
rof
setats
yb
dednetxe
secnavda
dna
snaol
dna
stnuocca
latipac
dna
eunever
no
erutidnepxe
esirpmoC
:*
.rimhsaK
&
ummaJ
yb
nevig
ton
si
pu
kaerb
eht
sa
pu
dda
ton
lliw
)EB(
61-5102
rof
pu
kaerb
nalp
non-nalp
setats
llA
:
etoN
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnmenrevog
etats
eht
fo
stnemucod
tegduB
:
ecruoSState Finances : A Study of Budgets of 2015-16
82
stnemyaP
tseretnI
:31
tnemetatS
)noillib
`
ni
tnuomA(
)tnec
reP(
noitairaV
61-5102
51-4102
41-3102
etatS
5.loC/7.loC
4.loC/6.loC
3.loC/5.loC
2.loC/4.loC
)setamitsE
tegduB(
)setamitsE
desiveR(
)stnuoccA(
teN
ssorG
teN
ssorG
*teN
ssorG
*teN
ssorG
*teN
ssorG
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
1.721
7.51
0.41
1.52-
4.011
0.211
6.84
8.69
6.24
1.921
hsedarP
arhdnA
.1
2.8
6.9
0.32
6.02
1.96
2.27
8.36
9.56
9.15
6.45
rahiB
.2
5.81
6.11
5.85
1.83
2.81
8.02
4.51
6.81
7.9
5.31
hragsittahhC
.3
9.9
8.01
8.8
1.9
5.01
8.01
5.9
7.9
8.8
9.8
aoG
.4
5.8
7.8
4.21
6.21
1.741
1.361
6.531
1.051
6.021
3.331
tarajuG
.5
2.22
0.91
3.52
0.32
8.27
6.58
6.95
0.27
6.74
5.85
anayraH
.6
3.43
6.52
4.2-
3.4
4.33
3.43
8.42
3.72
4.52
1.62
dnahkrahJ
.7
5.51
5.41
1.02
8.81
1.99
7.601
8.58
1.39
4.17
4.87
akatanraK
.8
9.41
9.41
3.51
4.51
5.701
5.901
6.39
4.59
2.18
7.28
alareK
.9
6.71
2.71
4.7
6.7
7.67
6.08
3.56
7.86
7.06
9.36
hsedarP
ayhdaM
.01
9.51
9.31
4.32
5.41
9.642
6.672
1.312
8.242
7.271
1.212
arthsarahaM
.11
8.0
9.2
9.131
4.64
5.83
5.34
2.83
3.24
5.61
9.82
ahsidO
.21
7.11
5.11
8.31
6.31
2.79
0.99
0.78
8.88
5.67
2.87
bajnuP
.31
7.81
7.31
8.32
1.61
7.101
6.911
7.58
3.501
2.96
6.09
nahtsajaR
.41
2.71
9.51
2.63
2.91
6.441
4.171
4.321
9.741
6.09
0.421
udaN limaT
.51
8.44
5.72
β
β
6.74
5.57
9.23
3.95
β
β
anagnaleT
.61
1.32
3.31
4.3
0.7
2.102
2.112
4.361
4.681
9.751
1.471
hsedarP
rattU
.71
9.8
9.8
6.4
7.4
2.522
7.632
7.602
4.712
7.791
6.702
lagneB tseW
.81
yrogetaC
laicepS
.II
1.12
2.52
3.12
1.61
2.4
5.4
5.3
6.3
9.2
1.3
hsedarP
lahcanurA
.1
8.7
4.8
2.9
6.9
0.12
1.62
4.91
1.42
8.71
0.22
massA
.2
8.9
6.9
0.11
5.8
8.82
5.92
2.62
9.62
6.32
8.42
hsedarP
lahcamiH
.3
1.11
0.11
7.31
0.41
7.73
0.83
0.43
2.43
9.92
0.03
rimhsaK
dna ummaJ
.4
9.1
3.2
4.1
9.1
3.4
6.4
2.4
5.4
1.4
4.4
rupinaM
.5
5.71
9.61
9.9
5.8
4.4
7.4
7.3
0.4
4.3
7.3
ayalahgeM
.6
9.45
3.15
2.4
6.4
3.4
5.4
8.2
0.3
7.2
8.2
maroziM
.7
1.81
0.81
4.41
5.31
6.6
6.6
6.5
6.5
9.4
9.4
dnalagaN
.8
7.91
9.31
3.24
7.41
4.2
7.2
0.2
4.2
4.1
1.2
mikkiS
.9
6.3
6.3
9.12
9.71
4.6
2.7
2.6
0.7
0.5
9.5
arupirT
.01
7.13
0.23
1.62
6.42
3.33
8.33
3.52
6.52
0.02
6.02
dnahkarattU
.11
7.81
6.31
9.81
2.41
1.100,2
5.191,2
2.586,1
6.829,1
8.614,1
0.986,1
setatS
llA
:meti
omeM
7.0
0.5
0.1
8.8
9.42
3.23
7.42
7.03
4.42
2.82
ihleD
TCN
.1
4.11
4.5-
5.5-
6.51
4.4
2.5
9.3
5.5
2.4
8.4
yrrehcuduP
.2
.stpieceR
tseretnI
sunim
tnemyaP
tseretnI
ssorG
:*
rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnemnrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSStatements
83
*euneveR
xaT
:41
tnemetatS
)tnec
rep(
sexaT
lartneC
ni
erahS
euneveR
xaT
nwO
euneveR
xaT
etatS
61-5102
51-4102
41-3102
61-5102
51-4102
41-3102
61-5102
51-4102
41-3102
)EB(
)ER(
)stnuoccA(
)EB(
)ER(
)stnuoccA(
)EB(
)ER(
)stnuoccA(
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
3.5
1.5
7.7
0.5
9.4
4.9
1.5
0.5
9.8
hsedarP
arhdnA
.1
8.11
5.11
1.21
5.3
3.3
9.2
2.6
7.5
7.5
rahiB
.2
8.3
9.2
7.2
3.2
3.2
1.2
8.2
5.2
3.2
hragsittahhC
.3
5.0
3.0
3.0
5.0
5.0
5.0
5.0
4.0
5.0
aoG
.4
0.3
3.3
4.3
7.7
9.7
3.8
2.6
6.6
8.6
tarajuG
.5
3.1
1.1
2.1
7.3
8.3
8.3
0.3
0.3
0.3
anayraH
.6
8.2
0.3
1.3
7.1
7.1
4.1
0.2
1.2
9.1
dnahkrahJ
.7
8.5
7.4
8.4
6.8
8.8
2.9
7.7
5.7
9.7
akatanraK
.8
1.3
4.2
6.2
1.5
9.4
7.4
4.4
2.4
1.4
alareK
.9
1.7
2.8
9.7
9.4
0.5
9.4
6.5
0.6
8.5
hsedarP
ayhdaM
.01
8.6
3.5
8.5
7.41
2.51
0.61
1.21
3.21
9.21
arthsarahaM
.11
6.4
3.5
3.5
4.2
5.2
5.2
1.3
3.3
3.3
ahsidO
.21
9.1
6.1
5.1
3.3
7.3
5.3
8.2
1.3
9.2
bajnuP
.31
7.6
0.6
5.6
3.5
1.5
9.4
8.5
4.5
4.5
nahtsajaR
.41
9.4
1.5
5.5
8.01
0.11
8.01
9.8
2.9
2.9
udaN
limaT
.51
0.3
9.2
β
2.5
5.4
β
5.4
1.4
β
anagnaleT
.61
2.02
8.22
8.12
3.01
7.9
8.9
5.31
6.31
3.31
hsedarP
rattU
.71
5.7
5.8
0.8
2.5
1.5
3.5
9.5
1.6
1.6
lagneB
tseW
.81
yrogetaC
laicepS
.II
8.21
2.3
5.3
2.1
4.1
4.1
9.7
3.2
4.2
hsedarP
lahcanurA
.1
4.92
7.93
8.83
0.13
1.03
3.82
1.03
8.43
4.33
massA
.2
8.6
6.9
4.8
3.51
9.51
1.61
4.01
8.21
4.21
hsedarP
lahcamiH
.3
3.41
8.21
9.31
3.91
0.81
7.91
4.61
4.51
9.61
rimhsaK
dna ummaJ
.4
7.5
0.5
8.4
6.1
6.1
5.1
0.4
3.3
1.3
rupinaM
.5
0.6
5.4
4.4
5.2
4.3
0.3
5.4
9.3
7.3
ayalahgeM
.6
3.4
6.2
9.2
8.0
7.0
7.0
8.2
7.1
8.1
maroziM
.7
3.4
0.3
4.3
0.1
0.1
0.1
9.2
0.2
2.2
dnalagaN
.8
4.3
6.2
6.2
3.1
4.1
7.1
5.2
0.2
1.2
mikkiS
.9
3.3
1.5
5.5
2.3
5.3
4.3
3.3
3.4
4.4
arupirT
.01
8.9
8.11
0.21
8.22
9.22
2.32
3.51
4.71
7.71
dnahkarattU
.11
elbacilppa
toN
:βββ
.sgnoleb
etats
a
hcihw
ot
etats
yrogetac
laiceps
dna
laiceps
non
fo
latot
evitcepser
ot
soitar
sA
:*
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnemnrevog
etats
eht
fo
stnemucod
tegduB
:
ecruoSState Finances : A Study of Budgets of 2015-16
84
*euneveR
xaT-noN
:51
tnemetatS
)tnec
rep(
stnarG
euneveR
xaT-noN
nwO
euneveR
xaT-noN
etatS
61-5102
51-4102
41-3102
61-5102
51-4102
41-3102
61-5102
51-4102
41-3102
)EB(
)ER(
)stnuoccA(
)EB(
)ER(
)stnuoccA(
)EB(
)ER(
)stnuoccA(
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
7.5
5.5
2.6
1.3
0.6
8.21
7.4
7.5
2.9
hsedarP
arhdnA
.1
8.5
0.8
7.8
0.2
1.2
3.1
4.4
3.6
3.5
rahiB
.2
2.4
2.4
3.3
0.5
3.4
2.4
5.4
2.4
7.3
hragsittahhC
.3
2.0
2.0
2.0
7.1
6.1
4.1
8.0
6.0
8.0
aoG
.4
4.5
6.4
8.4
4.6
4.6
8.5
7.5
1.5
2.5
tarajuG
.5
1.2
8.1
9.2
0.4
8.3
1.4
8.2
4.2
4.3
anayraH
.6
8.4
2.4
8.2
6.3
8.3
1.3
4.4
1.4
9.2
dnahkrahJ
.7
2.3
7.5
3.6
0.3
0.3
3.3
1.3
9.4
0.5
akatanraK
.8
2.3
6.2
9.2
2.5
3.5
6.4
9.3
4.3
7.3
alareK
.9
7.9
9.7
2.8
8.5
5.6
4.6
3.8
5.7
3.7
hsedarP
ayhdaM
.01
7.5
5.8
2.9
9.11
1.9
4.9
9.7
7.8
3.9
arthsarahaM
.11
7.6
4.5
9.5
2.5
1.5
9.6
2.6
3.5
3.6
ahsidO
.21
6.1
6.1
4.2
2.2
0.2
6.2
8.1
7.1
5.2
bajnuP
.31
3.6
6.6
1.6
9.8
1.9
2.11
3.7
3.7
4.8
nahtsajaR
.41
2.5
0.6
3.6
2.5
0.6
7.7
2.5
0.6
0.7
udaN
limaT
.51
0.4
0.6
β
9.21
9.8
β
2.7
9.6
β
anagnaleT
.61
9.51
8.31
6.51
5.21
5.51
6.31
7.41
3.41
7.41
hsedarP
rattU
.71
3.01
2.7
2.8
4.1
5.1
7.1
1.7
5.5
2.5
lagneB
tseW
.81
yrogetaC
laicepS
.II
6.3
1.5
3.6
6.3
7.3
6.3
6.3
0.5
9.5
hsedarP
lahcanurA
.1
5.42
2.91
4.41
9.13
8.32
7.32
4.52
7.91
9.51
massA
.2
5.21
2.8
2.01
1.11
1.11
7.51
3.21
5.8
0.11
hsedarP
lahcamiH
.3
3.91
0.02
3.22
8.52
0.52
2.52
1.02
5.02
8.22
rimhsaK
dna ummaJ
.4
8.4
2.7
2.8
6.1
6.1
3.2
4.4
6.6
3.7
rupinaM
.5
9.3
5.7
5.5
3.2
4.5
3.5
7.3
2.7
5.5
ayalahgeM
.6
4.4
8.3
6.5
9.1
9.1
7.1
1.4
6.3
0.5
maroziM
.7
2.6
2.6
0.8
7.1
5.2
9.1
6.5
8.5
0.7
dnalagaN
.8
1.2
6.3
6.3
6.2
7.8
0.7
1.2
1.4
1.4
mikkiS
.9
5.9
2.7
6.7
3.2
8.1
2.2
6.8
6.6
7.6
arupirT
.01
2.9
1.21
2.8
2.51
4.41
6.11
0.01
3.21
7.8
dnahkarattU
.11
0.001elbacilppa
toN
:βββ
.sgnoleb
etats
a
hcihw
ot
etats
yrogetac
laiceps
dna
laiceps
non
fo
latot
evitcepser
ot
soitar
sA
: β*
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnemnrevog
etats
eht
fo
stnemucod
tegduB
:
ecruoSStatements
85
ertneC
eht
morf
snaoL
:61
tnemetatS
)noillib
`
ni
tnuomA(
)tnec
reP(
noitairaV
61-5102
51-4102
41-3102
etatS
5.loC/7.loC
4.loC/6.loC
3.loC/5.loC
2.loC/4.loC
)setamitsE
tegduB(
)setamitsE
desiveR(
)stnuoccA(
teN
ssorG
teN
ssorG
*teN
ssorG
*teN
ssorG
*teN
ssorG
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
8.78
8.82
..
1.72-
1.6
6.21
2.3
8.9
1.1
4.31
hsedarP
arhdnA
.1
6.96
8.05
..
..
7.02
9.72
2.21
5.81
1.0-
5.5
rahiB
.2
5.3
β
3.12-
..
1.1-
5.0
1.1-
5.0
3.1-
1.0
hragsittahhC
.3
7.5
0.5
3.85
2.05
1.2
4.2
0.2
3.2
2.1
5.1
aoG
.4
..
7.1-
4.79-
..
3.0-
4.6
1.0-
5.6
0.5-
6.1
tarajuG
.5
..
..
..
4.07-
8.4
0.6
2.0-
0.1
7.1
4.3
anayraH
.6
..
..
..
4.88
3.3
0.5
5.0
0.2
3.0-
1.1
dnahkrahJ
.7
5.45
0.92
4.33
8.51
5.9
2.71
1.6
4.31
6.4
5.11
akatanraK
.8
1.34
9.92
..
..
3.11
8.41
9.7
4.11
4.0
9.3
alareK
.9
4.23-
7.12-
..
..
8.11
8.02
5.71
6.62
5.4
1.21
hsedarP
ayhdaM
.01
7.06
9.74
..
..
7.43
4.54
6.12
7.03
9.0
6.9
arthsarahaM
.11
0.33-
9.22-
..
..
4.9
3.61
0.41
2.12
3.0
5.5
ahsidO
.21
7.51
6.01
..
6.47
8.4
3.7
2.4
6.6
2.1
8.3
bajnuP
.31
..
..
..
..
3.91
6.42
7.6
9.11
3.2-
6.2
nahtsajaR
.41
6.25
6.83
5.91-
6.9-
1.61
2.52
6.01
2.81
1.31
1.02
udaN
limaT
.51
6.57-
4.65-
β
β
5.3
0.8
4.41
3.81
β
β
anagnaleT
.61
1.11-
0.02
7.22-
2.82
4.7-
0.6
3.8-
0.5
8.01-
9.3
hsedarP
rattU
.71
..
0.09-
..
..
7.5-
5.1
3.8
0.51
6.0
3.7
lagneB
tseW
.81
yrogetaC
laicepS
.II
β
β
1.4-
β
3.0-
β
3.0-
β
3.0-
β
hsedarP
lahcanurA
.1
..
..
..
..
1.4
5.5
1.0
5.1
1.1-
5.0
massA
.2
..
7.16-
..
..
2.0-
5.0
6.0
3.1
1.0-
6.0
hsedarP
lahcamiH
.3
0.32
β
5.94
0.001-
2.1-
β
9.0-
β
6.0-
2.0
rimhsaK
dna ummaJ
.4
1.0-
β
2.6-
β
4.0-
β
4.0-
β
5.0-
β
rupinaM
.5
9.8
1.3-
1.56-
..
1.0-
1.0
1.0-
1.0
2.0-
β
ayalahgeM
.6
..
..
4.12-
..
β
2.0
1.0-
β
2.0-
β
maroziM
.7
1.83-
..
7.12-
β
1.0-
1.0
2.0-
β
2.0-
β
dnalagaN
.8
..
5.65-
..
..
β
1.0
β
1.0
2.0-
β
mikkiS
.9
8.4
β
9.43-
6.91-
3.0-
β
3.0-
β
4.0-
β
arupirT
.01
..
0.08
..
0.34
5.0
9.0
2.0
5.0
2.0-
3.0
dnahkarattU
.11
7.22
9.41
6.268,1
6.401
8.441
4.552
0.811
4.222
0.6
7.801
setatS
llA
:meti
omeM
5.31-
5.31-
2.17-
2.17-
4.01
4.01
0.21
0.21
6.14
6.14
ihleD
TCN
.1
1.34-
6.55
6.6
2.21-
5.0-
1.1
9.0-
7.0
9.0-
8.0
yrrehcuduP
.2
.esab
wol
ot
eud
htworg
lamronbA
: β..β
.elbigilgeN/liN
:
βββ
.ertnec
eht
ot
snaol
fo
tnemyaper
sunim
ertnec
morf snaol
ssorG
:
*
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnemnrevog
etats
eht
fo
stnemucod
tegduB
:
ecruoSState Finances : A Study of Budgets of 2015-16
86
ertneC
eht
morf
secruoseR
fo
refsnarT
dna
noituloveD
:71
tnemetatS
)noillib
`
ni
tnuomA(
)tnec
reP(
noitairaV
61-5102
51-4102
41-3102
etatS
5.loC/7.loC
4.loC/6.loC
3.loC/5.loC
2.loC/4.loC
)setamitsE
tegduB(
)setamitsE
desiveR(
)stnuoccA(
teN
ssorG
teN
ssorG
*teN
ssorG
*teN
ssorG
*teN
ssorG
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
8.11
6.01
2.91
0.61
6.404
2.614
9.163
5.673
6.303
6.423
hsedarP
arhdnA
.1
1.4
2.4
4.44
5.34
0.607
1.717
0.876
3.886
7.964
6.974
rahiB
.2
0.91
7.81
7.79
2.59
4.982
5.292
2.342
4.642
1.321
2.621
hragsittahhC
.3
5.96
1.76
8.03
5.03
0.92
6.92
1.71
7.71
1.31
6.31
aoG
.4
1.9
6.8
4.37
5.76
6.292
8.403
3.862
5.082
7.451
5.761
tarajuG
.5
4.52
8.42
1.33
1.13
7.521
8.721
2.001
4.201
3.57
1.87
anayraH
.6
9.9
7.9
2.39
4.19
3.272
2.572
8.742
0.152
2.821
1.131
dnahkrahJ
.7
5.2-
1.2-
1.85
7.45
4.843
3.463
5.753
3.273
1.622
6.042
akatanraK
.8
6.33
3.23
3.85
7.45
3.832
5.542
3.871
6.581
7.211
0.021
alareK
.9
8.7
6.7
7.56
8.36
1.316
3.926
5.865
9.485
0.343
0.753
hsedarP
ayhdaM
.01
1.0-
3.0
9.96
7.66
8.894
3.515
4.994
9.315
9.392
4.803
arthsarahaM
.11
1.9
7.8
0.26
5.06
8.114
8.224
3.773
9.883
0.332
3.242
ahsidO
.21
0.61
3.61
2.74
6.44
8.231
0.831
4.411
7.811
8.77
1.28
bajnuP
.31
2.51
9.41
4.36
1.16
4.205
3.215
0.634
0.644
8.662
8.672
nahtsajaR
.41
2.1-
8.0-
7.15
6.94
5.683
5.004
2.193
7.304
9.752
9.962
udaN limaT
.51
8.32-
9.12-
β
β
0.842
2.062
2.523
0.333
β
β
anagnaleT
.61
3.9
1.9
5.84
7.64
7.543,1
3.963,1
0.132,1
6.552,1
8.828
7.558
hsedarP
rattU
.71
0.61
6.51
6.75
8.55
8.526
7.346
6.935
0.755
4.243
6.753
lagneB tseW
.81
yrogetaC
laicepS
.II
4.76
1.76
9.72
8.72
1.601
4.601
4.36
6.36
5.94
8.94
hsedarP
lahcanurA
.1
9.91
8.91
1.56
1.46
3.104
0.404
7.433
3.733
8.202
6.502
massA
.2
2.23
8.13
3.53
7.43
9.551
4.751
9.711
4.911
2.78
6.88
hsedarP
lahcamiH
.3
3.5
4.5
9.83
6.83
8.062
0.362
6.742
5.942
3.871
0.081
rimhsaK
dna ummaJ
.4
4.51-
3.51-
7.04
0.04
9.67
7.77
9.09
7.19
6.46
5.56
rupinaM
.5
7.32-
6.32-
9.69
1.69
3.07
7.07
2.29
5.29
8.64
2.74
ayalahgeM
.6
8.73
4.73
0.11
9.01
7.56
2.66
7.74
1.84
0.34
4.34
maroziM
.7
2.11
1.11
9.42
7.42
0.28
4.28
7.37
1.47
1.95
5.95
dnalagaN
.8
9.41-
9.41-
2.35
1.25
8.83
0.93
6.54
8.54
7.92
1.03
mikkiS
.9
5.81
4.81
1.64
3.54
4.801
0.901
4.19
0.29
6.26
3.36
arupirT
.01
5.31-
4.31-
6.19
6.09
4.241
4.341
7.461
5.561
0.68
8.68
dnahkarattU
.11
1.8
0.8
0.16
9.85
6.979,8
4.381,9
8.403,8
0.205,8
7.951,5
0.153,5
setatS
llA
:meti
omeM
0.46-
9.81-
5.04-
4.51-
9.5
2.83
3.61
1.74
4.72
7.55
ihleD
TCN
.1
8.02
9.51
4.93
6.72
8.51
1.91
1.31
5.61
4.9
9.21
yrrehcuduP
.2
.ertnec
morf
snaol
no
stnemyap
tseretni
dna
ertnec
ot
snaol
fo
stnemyaper
sunim
srefsnart
dna
noituloved
ssorG
:
*
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnemnrevog
etats
eht
fo
stnemucod
tegduB
:
ecruoSStatements
87
seitilibaiL
gnidnatstuO
fo
noitisopmoC
:81
tnemetatS
)4102
hcraM-dne
ta
sA(
)noillib
`
ni
tnuomA(
-tuO
-nitnoC
tisopeD
evreseR
tnedivorP
snaoL
lanretnI
snaoL
snaoL
snaoL
snaoL
snaoL
snaoL
snaoL
AMW
FSSN
-moC
rewoP
sLDS
etatS
gnidnats
ycneg
dna
dnuF
dnuF
morf
tbeD
morf
morf
morf
morf
morf
morf
morf
morf
-nep
sdnoB
seitilibaiL
dnuF
secnavdA
ertneC
sknab
rehto
CDCN
IBS
DRABAN
CIG
CIL
IBR
noitas
dna
-utitsni
dna
dna
sIF
snoit
rehto
rehto
sknab
sdnob
=
02
91
81
71
61
51
=41
=31
21
11
01
9
8
7
6
5
4
3
2
1
91
ot
41
31+)6
ot
2(
21
ot
7
yrogetaC
laicepS-noN
.I
0.269,1
5.0
6.761
0.09
2.531
0.471
8.493,1
2.12
6.63-
5.1
β
7.15
8.0
8.3
β
8.352
β
1.6
7.311,1
hsedarP
arhdnA
.1
2.688
5.3
2.411
5.43
5.09
6.68
9.655
5.14
1.0
1.1
β
1.04
β
2.0
β
2.791
3.0
2.5
8.213
rahiB
.2
8.062
4.0
7.15
3.82
0.23
1.02
2.821
4.31
β
1.0
β
1.31
β
2.0
β
9.25
β
2.1
8.06
hragsittahhC
.3
8.231
3.0
4.51
5.9
3.71
0.9
2.18
6.5
0.1
β
β
5.4
β
1.0
β
2.92
β
β
4.64
aoG
.4
2.588,1
0.2
8.112
9.98
5.58
2.87
8.714,1
1.56
4.46
β
7.0
β
β
β
β
4.874
β
1.4
2.078
tarajuG
.5
1.697
0.2
7.55
6.13
2.101
1.32
4.285
3.95
9.51
6.1
7.62
0.51
β
β
β
3.511
β
1.5
8.204
anayraH
.6
4.873
5.1
1.45
9.5
6.51
9.02
4.082
5.53
1.4
0.1
β
2.03
β
β
β
5.69
β
3.5
1.341
dnahkrahJ
.7
8.983,1
8.0
5.461
9.851
2.081
1.121
3.467
7.33
β
2.1-
β
8.13
3.0
9.2
β
3.791
β
β
3.335
akatanraK
.8
8.652,1
3.0
0.74
8.81
4.553
6.66
6.867
1.15
4.1
7.1
β
3.02
7.2
0.52
β
8.211
β
9.2
8.106
alareK
.9
6.369
0.2
5.17
5.16
4.111
1.721
1.095
9.25
1.2
5.1
β
4.84
1.0
8.0
β
8.081
β
7.6
8.943
hsedarP
ayhdaM
.01
3.390,3
4.1
0.754
1.652
5.012
4.88
9.970,2
1.95
6.7
8.4
β
5.73
β
3.9
β
9.767
β
5.2
3.052,1
arthsarahaM
.11
7.405
5.2
6.95
0.65
5.351
9.17
2.161
5.93
1.0
2.0
β
0.93
2.0
β
β
8.98
β
8.2
2.92
ahsidO
.21
0.320,1
3.0
5.43
9.53
3.561
3.33
7.357
2.92
0.3
β
1.6
2.02
β
β
9.5
8.312
β
6.1
2.305
bajnuP
.31
9.182,1
0.2
5.121
0.62
7.292
3.76
4.277
8.75
5.0
2.2
β
2.45
5.0
4.0
β
2.002
β
6.0
8.315
nahtsajaR
.41
7.597,1
3.1
7.591
3.85
1.041
3.121
0.972,1
5.66
3.0-
3.2
7.1
6.45
6.0
6.7
β
7.042
β
β
8.179
udaN limaT
.51
4.266,2
1.5
4.041
4.953
0.724
6.351
9.675,1
1.97
7.81
5.0
β
7.95
1.0
1.0
β
2.195
4.0
7.41
5.198
hsedarP rattU
.61
1.095,2
2.0
6.981
7.48
4.701
6.921
6.870,2
0.55
1.45
5.0
β
3.0
β
β
β
0.887
β
9.4
6.032,1
lagneB tseW
.71
yrogetaC laicepS
.II
1.74
β
8.7
9.1
7.21
8.2
8.12
3.4
4.0
3.0
β
5.3
β
β
6.0
9.6
β
1.0
0.01
hsedarP
lahcanurA
.1
7.903
5.0
6.0
2.63
3.67
8.61
2.971
9.8
β
β
β
8.8
1.0
β
β
7.37
β
1.2
5.49
massA
.2
8.833
1.0
1.81
3.2
4.78
0.01
0.122
9.22
6.4
5.0
β
0.61
β
9.1
6.4
7.75
β
2.0
7.531
hsedarP
lahcamiH
.3
2.844
β
6.73
1.02
0.421
6.41
9.152
2.93
4.1
β
β
9.02
1.0
8.61
β
7.63
β
0.4
0.271
rimhsaK
dna ummaJ
.4
9.07
β
7.31
1.2
1.31
8.4
1.73
3.2
7.0
1.0
β
5.1
β
1.0
β
2.8
β
4.0
2.62
rupinaM
.5
9.56
1.1
7.51
0.2
7.9
3.2
1.53
2.3
4.0
β
β
8.2
β
β
β
3.6
β
β
6.52
ayalahgeM
.6
2.26
β
7.11
7.1
6.12
1.3
0.42
7.3
0.1
β
β
0.2
β
7.0
2.0-
0.2
β
1.0
4.81
maroziM
.7
5.38
β
2.61
6.1
9.7
3.2
5.55
9.7
7.4
2.0
β
5.2
2.0
4.0
2.3
3.1
β
2.0
9.24
dnalagaN
.8
4.33
β
5.1
1.3
9.6
4.1
6.02
5.3
2.0
β
β
3.2
β
0.1
β
7.1
β
1.0
3.51
mikkiS
.9
4.78
1.0
1.3
5.6
1.72
3.3
2.74
1.6
β
1.0
β
0.5
β
0.1
β
3.21
β
2.0
6.82
arupirT
.01
1.303
2.3
2.22
2.21
4.05
4.4
5.012
3.02
2.1
1.0
4.0
6.81
1.0
β
β
5.97
β
4.1
3.901
dnahkarattU
.11
6.217,42
0.13
9.992,2
0.594,1
0.850,3
1.854,1
7.073,61
6.788
3.051
1.91
6.53
5.406
8.5
3.27
0.41
3.298,4
8.0
3.27
7.305,01
setatS
llA
:meti
omeM
3.523
β
β
β
β
3.33
1.292
β
β
β
β
β
β
β
β
1.292
β
β
β
ihleD
TCN
.1
3.66
β
1.5
2.1
5.4
3.7
2.84
3.5
3.5
β
β
β
β
β
β
6.11
β
β
2.13
yrrehcuduP
.2
.elbigilgeN/liN
: 'β'
.snaoL
tnempoleveD
etatS
:sLDS
.'0102
secnaniF
tnemnrevoG
etatS
no
scitsitatS
fo
koobdnaH'
sa
llew
sa
tegduB
fo
ydutS
A :secnaniF
etatS'
fo
seussi
reilrae
eht
ot
refer
esaelp
,41-3102
ot
roirp
seitilibail
gnidnatstuo
no
seires
atad
esiw-etats
roF .1
:etoN
.'snoitutitsnI
rehtO
morf
snaoL'
rednu
dedulcni
neeb
sah
emas
eht
,elbaliava
ton
saw
hsedarP
lahcanurA
rof
tbeD
lanretnI
fo
egrahcsiD
fo
pu-kaerb
deliated
sA .2
..GAC
yb
noitailicnocer/noitagitsevni
rednu
era
hcihw
stiderc
gnidnopserroc
tuohtiw
stnemyap
rof
gnitnuocca
ot
eud
ylniam
si
ecnalab
suniM .3
.aidnI
fo
tnemnrevoG
,aidnI
fo
lareneG
rotiduA
dna
rellortpmoC
.1
:ecruoS
.aidnI
fo
tnemnrevoG
,ecnaniF
fo
yrtsiniM .2
.sdroceR
knaB
evreseR .3
.stnemnrevog
etats
eht
fo stnemucod
tegduB .4
.aidnI
fo
tnemnrevoG
,AGC
,tnemnrevoG
noinU
eht
fo stnuoccA
ecnaniF .5State Finances : A Study of Budgets of 2015-16
88
).dtnoC(
seitilibaiL
gnidnatstuO
fo
noitisopmoC
:81
tnemetatS
)5102
hcraM-dne
ta
sA(
)noillib
`
ni
tnuomA(
-tuO
-nitnoC
tisopeD
evreseR
tnedivorP
snaoL
lanretnI
snaoL
snaoL
snaoL
snaoL
snaoL
snaoL
snaoL
AMW
FSSN
-moC
rewoP
sLDS
etatS
gnidnats
ycneg
dna
dnuF
dnuF
morf
tbeD
morf
morf
morf
morf
morf
morf
morf
morf
-nep
sdnoB
seitilibaiL
dnuF
secnavdA
ertneC
sknab
rehto
CDCN
IBS
DRABAN
CIG
CIL
IBR
noitas
sIF
dna
-utitsni
dna
dna
snoit
rehto
rehto
sknab
sdnob
=
02
91
81
71
61
51
=41
=31
21
11
01
9
8
7
6
5
4
3
2
1
91
ot
41
31+)6
ot
2(
21
ot
7
yrogetaC laicepS-noN
.I
0.582,2
5.0
7.402
6.79
7.641
7.191
8.346,1
8.71
9.24-
1.1
β
4.55
8.0
5.3
β
2.062
β
4.2
4.363,1
hsedarP arhdnA
.1
5.410,1
5.3
8.511
5.43
8.29
8.89
0.966
5.85
1.0
7.1
β
6.65
β
2.0
β
7.822
3.0
1.2
5.973
rahiB
.2
9.913
4.0
0.25
6.92
5.53
1.91
3.381
9.62
β
2.0
β
6.62
β
2.0
β
0.75
β
5.0
9.89
hragsittahhC
.3
3.541
3.0
2.71
6.9
3.91
0.11
0.88
9.5
8.0
β
β
0.5
β
1.0
β
0.92
β
β
0.35
aoG
.4
7.270,2
0.2
0.442
9.98
3.29
0.87
4.665,1
3.77
9.67
β
5.0
β
β
β
β
2.384
β
6.1
3.400,1
tarajuG
.5
0.739
0.2
4.58
0.23
7.701
9.22
0.786
1.63
2.61
9.1
β
0.81
β
β
β
4.221
β
0.2
5.625
anayraH
.6
3.914
0.3
8.15
8.8
7.51
4.12
6.813
3.82
1.1
9.0
β
3.62
β
β
β
9.99
3.0
1.2
0.881
dnahkrahJ
.7
8.975,1
8.0
1.361
4.851
5.991
3.721
8.039
9.43
1.0-
3.1-
β
5.33
3.0
5.2
β
7.102
β
β
2.496
akatanraK
.8
2.514,1
3.0
8.05
9.71
6.283
5.47
0.988
1.05
0.1
9.1
β
3.22
7.2
3.22
β
1.811
β
2.1
6.917
alareK
.9
2.090,1
0.2
5.47
6.36
4.021
6.441
2.586
4.85
5.1
6.1
β
4.45
1.0
7.0
β
6.291
β
7.2
5.134
hsedarP ayhdaM
.01
9.954,3
4.1
8.225
8.742
4.732
0.011
6.043,2
8.501
9.55
0.3
β
7.93
β
2.7
β
9.957
β
0.1
9.374,1
arthsarahaM
.11
4.495
5.2
2.47
1.56
5.361
9.58
2.302
7.55
1.0
1.0
β
3.55
2.0
β
β
7.001
β
1.1
6.54
ahsidO
.21
8.431,1
3.0
0.43
8.93
2.581
5.73
1.838
4.82
5.2
β
1.6
8.91
β
β
9.5
1.322
β
6.0
0.085
bajnuP
.31
0.484,1
0.5
8.321
9.42
3.123
0.47
0.539
1.86
2.0
0.2
β
0.56
5.0
4.0
β
2.102
β
4.0
3.566
nahtsajaR
.41
5.940,2
3.1
7.381
4.95
0.451
9.131
3.915,1
5.37
7.0-
4.3
4.1
9.16
6.0
9.6
β
6.242
β
β
3.302,1
udaN limaT
.51
6.779,2
9.3
6.031
5.353
9.174
3.541
4.278,1
2.231
1.86
4.0
β
5.36
1.0
1.0
β
5.456
4.0
9.5
4.970,1
hsedarP rattU
.61
3.348,2
2.0
3.302
7.28
5.611
9.731
7.203,2
1.25
1.15
6.0
β
3.0
β
β
β
8.238
β
0.2
8.514,1
lagneB tseW
.71
yrogetaC laicepS
.II
9.06
β
5.91
4.2
3.31
6.2
2.32
1.1
8.3-
3.0
β
5.4
β
β
0.2
5.7
β
β
6.21
hsedarP lahcanurA
.1
8.453
5.0
3.2
2.63
5.58
8.61
4.312
2.11
β
β
β
1.11
1.0
β
β
5.48
β
9.0
9.611
massA
.2
4.573
1.0
1.02
3.2
6.69
6.01
8.542
4.22
1.3
6.0
β
4.71
β
4.1
6.4
8.66
β
1.0
0.251
hsedarP lahcamiH
.3
6.474
β
6.73
4.02
1.831
6.31
8.462
2.93
4.1
β
β
9.02
1.0
8.61
β
8.04
β
6.1
2.381
rimhsaK dna ummaJ
.4
9.27
β
1.31
1.2
2.31
4.4
0.04
1.2
4.0
1.0
β
6.1
β
1.0
β
1.8
β
2.0
7.92
rupinaM
.5
1.57
1.1
1.81
0.2
2.11
3.2
5.04
3.3
2.0
β
β
0.3
β
β
β
1.7
β
β
0.03
ayalahgeM
.6
2.46
β
9.11
7.1
5.22
0.3
1.52
4.3
1.1
1.0
β
9.1
β
2.0
7.0-
2.2
β
β
1.02
maroziM
.7
5.38
β
0.21
6.1
9.8
2.2
7.85
9.21
8.9
2.0
β
3.2
2.0
3.0
1.3-
4.1
β
1.0
5.74
dnalagaN
.8
7.73
β
5.1
5.3
0.7
4.1
3.42
9.3
2.0
β
β
7.2
β
0.1
β
9.1
β
β
4.81
mikkiS
.9
2.29
1.0
2.3
5.6
7.03
0.3
6.84
2.6
2.1-
1.0
β
5.6
β
8.0
β
4.31
β
1.0
9.82
arupirT
.01
8.933
9.3
9.91
4.21
4.25
6.4
6.642
4.42
1.1
1.0
4.0
8.22
1.0
β
β
9.09
4.0
6.0
2.031
dnahkarattU
.11
4.358,72
0.53
6.094,2
2.605,1
0.243,3
1.675,1
4.309,81
0.040,1
2.442
9.81
4.8
2.896
8.5
6.46
8.8
2.231,5
4.1
1.92
0.296,21
setatS
llA
β
β
β
β
β
β
β
β
β
β
β
β
β
β
β
β
β
β
β
:meti
omeM
0.733
β
β
β
β
3.54
7.192
β
β
β
β
β
β
β
β
7.192
β
β
β
ihleD
TCN
.1
5.07
β
4.5
1.0-
7.4
4.6
1.45
1.7
9.6
2.0-
β
3.0
β
β
β
1.11
β
β
9.53
yrrehcuduP
.2
.elbigilgeN/liN
: βββ
.snaoL
tnempoleveD etatS
:sLDS
.β0102
secnaniF
tnemnrevoG
etatS
no
scitsitatS
fo
koobdnaHβ
sa
llew
sa
tegduB
fo
ydutS
A :secnaniF
etatSβ
fo
seussi
reilrae
eht
ot
refer
esaelp
,41-3102
ot
roirp
seitilibail
gnidnatstuo
no
seires
atad
esiw-etats roF .1
:etoN
.βsnoitutitsnI
rehtO
morf
snaoLβ
rednu
dedulcni
neeb
sah
emas
eht
,elbaliava
ton
saw
hsedarP
lahcanurA
rof
tbeD
lanretnI
fo
egrahcsiD
fo
pu-kaerb
deliated sA .2
.anagnaleT
etats
demrof
ylwen
fo
seitilibail
eht
sedulcni
hsedarP
arhdnA
fo etats ehT .3
.aidnI
fo tnemnrevoG
,aidnI
fo
lareneG
rotiduA
dna
rellortpmoC .1
:ecruoS
.aidnI
fo
tnemnrevoG
,ecnaniF
fo yrtsiniM .2
.sdroceR
knaB evreseR .3
.stnemnrevog
etats
eht
fo stnemucod
tegduB .4
.aidnI
fo
tnemnrevoG
,AGC
,tnemnrevoG
noinU
eht
fo stnuoccA
ecnaniF .5Statements
89
).dlcnoC(
seitilibaiL
gnidnatstuO
fo
noitisopmoC
:81
tnemetatS
6102
hcraM-dne
ta
sA(
)noillib
`
ni
tnuomA(
-tuO
-nitnoC
tisopeD
evreseR
tnedivorP
snaoL
lanretnI
snaoL
snaoL
snaoL
snaoL
snaoL
snaoL
snaoL
AMW
FSSN
-moC
rewoP
sLDS
etatS
gnidnats
ycneg
dna
dnuF
dnuF
morf
tbeD
morf
morf
morf
morf
morf
morf
morf
morf
-nep
sdnoB
seitilibaiL
dnuF
secnavdA
ertneC
sknab
rehto
CDCN
IBS
DRABAN
CIG
CIL
IBR
noitas
sIF
dna
-utitsni
dna
dna
snoit
rehto
rehto
sknab
sdnob
=
02
91
81
71
61
51
=41
=31
21
11
01
9
8
7
6
5
4
3
2
1
91
ot
41
31+)6
ot
2(
21
ot
7
yrogetaC laicepS-noN
.I
5.826,2
5.0
1.302
8.401
2.951
3.102
7.959,1
4.42
6.74-
6.0
β
0.86
8.0
7.2
β
9.542
β
β
3.986,1
hsedarP arhdnA
.1
8.051,1
5.3
6.711
5.43
2.98
5.911
5.687
4.37
1.0
0.2
ββ
1.17
ββ
2.0
β
8.432
3.0
β
0.874
rahiB
.2
7.783
4.0
3.25
0.13
0.93
0.81
0.742
0.04
ββ
3.0
β
6.93
β
1.0
β
9.65
β
β
0.051
hragsittahhC
.3
6.851
3.0
1.91
7.9
4.02
0.31
0.69
0.6
7.0
β
β
2.5
β
1.0
β
1.82
β
β
9.16
aoG
.4
8.292,2
0.2
8.962
9.98
0.99
7.77
4.457,1
6.78
4.78
β
2.0
ββ
β
ββ
β
9.474
β
β
8.191,1
tarajuG
.5
5.511,1
0.2
0.49
6.23
3.411
6.72
0.548
0.73
8.41
9.1
β
3.02
β
β
β
6.021
β
β
4.786
anayraH
.6
1.374
5.4
4.94
7.11
8.51
7.42
9.663
1.33
8.1
0.1
β
2.03
β
β
β
0.89
3.0
β
6.532
dnahkrahJ
.7
1.377,1
8.0
1.361
4.851
1.122
8.631
9.290,1
4.63
1.0-
3.1-
β
4.53
3.0
1.2
β
3.191
β
β
2.568
akatanraK
.8
0.206,1
3.0
6.45
9.71
6.004
8.58
8.240,1
0.05
4.1
8.1
β
6.42
7.2
5.91
β
0.811
β
β
8.478
alareK
.9
6.122,1
0.2
0.16
3.56
3.621
4.651
5.018
2.46
7.1
2.2
β
7.95
1.0
6.0
β
9.102
β
β
4.445
hsedarP ayhdaM
.01
6.397,3
4.1
4.495
5.032
9.652
7.441
8.565,2
0.021
2.27
1.1
β
6.14
ββ
1.5
β
5.937
β
β
3.607,1
arthsarahaM
.11
2.656
5.2
9.63
2.56
5.171
2.59
7.482
8.57
2.0
1.0
β
4.57
2.0
ββ
ββ
8.89
β
β
1.011
ahsidO
.21
2.352,1
3.0
4.33
3.43
0.302
3.24
9.939
3.03
0.2
β
1.6
3.22
β
β
9.5
1.912
β
β
5.486
bajnuP
.31
1.466,1
0.5
0.621
2.52
1.253
3.39
6.260,1
0.97
β
7.1
β
5.67
5.0
3.0
β
7.881
β
6.0
3.497
nahtsajaR
.41
6.253,2
3.1
5.171
1.07
3.861
0.841
3.397,1
7.08
1.1-
5.4
2.1
3.96
6.0
2.6
ββ
1.922
β
β
5.384,1
udaN limaT
.51
7.472,3
9.3
7.89
6.183
7.225
9.731
9.921,2
7.881
6.711
4.0
β
5.07
1.0
β
β
4.476
4.0
β
4.662,1
hsedarP rattU
.61
0.880,3
2.0
4.922
0.28
6.621
2.231
7.715,2
9.85
0.85
6.0
β
3.0
β
ββ
β
9.148
β
β
9.616,1
lagneB tseW
.71
yrogetaC laicepS
.II
7.7
β
0.24-
6.4
0.41
3.2
8.82
6.1
8.6-
3.0
β
1.8
β
β
5.3
8.8
β
β
8.41
hsedarP lahcanurA
.1
8.993
5.0
2.4
2.63
7.59
9.02
3.242
2.51
1.0-
β
β
2.51
1.0
β
β
8.19
β
β
2.531
massA
.2
3.804
1.0
1.02
3.2
6.501
4.01
8.962
2.22
4.2
5.0
β
3.81
β
0.1
6.4
5.46
β
β
5.871
hsedarP lahcamiH
.3
3.105
β
6.73
9.02
3.251
5.21
0.872
2.93
4.1
β
β
9.02
1.0
8.61
β
8.04
β
β
1.891
rimhsaK dna ummaJ
.4
5.87
β
4.21
1.2
7.31
0.4
3.64
0.2
3.0
1.0
β
6.1
β
1.0
ββ
6.7
β
β
7.63
rupinaM
.5
1.28
1.1
2.81
0.2
0.31
2.2
7.54
5.3
1.0
1.0
β
3.3
β
β
β
0.7
β
β
3.53
ayalahgeM
.6
6.86
β
1.21
8.1
2.52
0.3
5.62
5.3
3.1
2.0
β
2.2
β
2.0-
4.0-
1.2
β
β
2.12
maroziM
.7
9.18
β
6.3
6.1
7.9
1.2
0.56
5.21
4.9
2.0
β
5.2
2.0
2.0
1.3-
6.1
β
β
0.45
dnalagaN
.8
9.24
β
5.1
3.3
4.7
4.1
4.92
0.4
2.0
β
β
8.2
β
0.1
β
1.2
β
β
3.32
mikkiS
.9
9.401
1.0
3.3
5.6
3.63
7.2
9.55
5.7
2.1-
1.0
β
9.7
β
6.0
β
6.21
β
β
8.53
arupirT
.01
9.183
2.4
6.22
8.21
5.45
0.5
8.282
8.82
1.1
ββ
4.0
3.72
1.0
β
β
8.69
4.0
β
7.651
dnahkarattU
.11
8.340,13
7.63
9.764,2
9.835,1
4.316,3
9.027,1
0.666,12
6.522,1
0.713
2.81
8.7
1.028
8.5
6.65
5.01
9.7905
4.1
6.0
9.923,51
setatS
llA
:meti
omeM
7.923
β
β
β
β
6.55
1.472
β
β
β
β
β
β
β
β
1.472
β
β
β
ihleD
TCN
.1
6.57
β
7.5
6.1-
9.4
8.5
7.06
1.9
4.8
4.0-
β
1.1
β
β
β
1.11
β
β
4.04
yrrehcuduP
.2
.elbigilgeN/liN
: βββ
.snaoL
tnempoleveD etatS
:sLDS
.β0102
secnaniF
tnemnrevoG
etatS
no
scitsitatS
fo
koobdnaHβ
sa
llew
sa
tegduB
fo
ydutS
A
:secnaniF
etatSβ
fo seussi
reilrae
eht
ot
refer
esaelp
,41-3102
ot
roirp
seitilibail
gnidnatstuo
no
seires
atad
esiw-etats roF .1
:etoN
.βsnoitutitsnI
rehtO
morf
snaoLβ
rednu
dedulcni
neeb
sah
emas
eht
,elbaliava
ton
erew
hsedarP
lahcanurA
rof
tbeD
lanretnI
fo
egrahcsiD
fo
pu-kaerb
deliated sA .2
.anagnaleT
etats
demrof
ylwen
fo
seitilibail
eht
sedulcni
hsedarP
arhdnA
fo etats ehT .3
.aidnI
fo tnemnrevoG
,aidnI
fo
lareneG
rotiduA
dna
rellortpmoC .1
:ecruoS
.aidnI
fo
tnemnrevoG
,ecnaniF
fo yrtsiniM .2
.sdroceR
knaB evreseR .3
.stnemnrevog
etats
eht
fo stnemucod
tegduB .4
.aidnI
fo
tnemnrevoG
,AGC
,tnemnrevoG
noinU
eht
fo stnuoccA
ecnaniF .5State Finances : A Study of Budgets of 2015-16
90
stnemnrevoG
etatS
fo
seitilibaiL
gnidnatstuO
latoT
:91
tnemetatS
)hcraM-dne
ta
sA(
)noillib
`
ni
tnuomA(
6102
5102
4102
3102
2102
1102
0102
9002
8002
7002
6002
5002
4002
3002
2002
1002
0002
etatS
)EB(
)ER(
81
71
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
5.826,2
0.582,2
0.269,1
6.247,1
5.505,1
1.593,1
8.632,1
5.001,1
7.899
6.409
8.238
2.457
5.256
3.065
4.684
1.814
3.843
hsedarP
arhdnA
.1
8.051,1
5.410,1
2.688
5.677
6.976
8.536
1.595
8.755
1.825
5.894
9.274
8.134
0.004
5.283
3.143
4.992
7.823
rahiB
.2
7.783
9.913
8.062
7.412
4.971
4.071
5.261
3.051
5.641
4.041
9.131
3.121
2.801
9.59
2.18
7.96
β
hragsittahhC
.3
6.851
3.541
8.231
5.211
5.99
6.59
3.48
5.17
4.66
4.85
3.15
2.44
9.83
0.53
5.73
2.82
1.52
aoG
.4
8.292,2
7.270,2
2.588,1
2.396,1
1.315,1
2.034,1
7.432,1
6.890,1
3.300,1
6.909
2.038
3.317
1.326
7.155
2.974
8.724
9.143
tarajuG
.5
5.511,1
0.739
1.697
7.576
9.665
0.364
2.014
0.533
1.992
1.392
8.962
0.942
5.422
5.991
3.771
5.641
1.831
anayraH
.6
1.374
3.914
4.873
6.053
6.313
0.382
8.962
2.042
4.312
5.091
2.961
9.031
4.001
9.811
8.99
5.48
β
dnahkrahJ
.7
1.377,1
8.975,1
8.983,1
7.621,1
9.060,1
5.439
3.548
2.256
6.506
8.085
9.594
5.344
6.993
2.063
4.313
0.352
5.012
akatanraK
.8
0.206,1
2.514,1
8.652,1
7.990,1
2.849
6.938
5.457
1.076
0.585
2.325
8.874
9.634
5.193
1.343
4.592
6.262
1.222
alareK
.9
6.122,1
2.090,1
6.369
7.498
8.908
4.557
2.976
1.306
1.945
3.725
5.694
9.544
7.973
8.892
4.062
3.122
3.952
hsedarP
ayhdaM
.01
6.397,3
9.954,3
3.390,3
1.028,2
0.854,2
3.603,2
4.430,2
7.668,1
1.026,1
4.706,1
3.264,1
5.542,1
4.860,1
5.998
4.587
0.676
1.885
arthsarahaM
.11
2.656
4.495
7.405
8.194
5.874
3.074
2.754
0.934
8.924
4.924
2.704
8.963
5.833
7.803
6.182
2.242
1.602
ahsidO
.21
2.352,1
8.431,1
0.320,1
8.229
6.828
8.747
8.776
3.516
9.755
1.015
4.115
7.074
2.824
2.104
3.753
6.703
1.662
bajnuP
.31
1.466,1
0.484,1
9.182,1
3.681,1
1.660,1
8.499
5.719
4.248
7.177
7.117
4.266
7.995
1.135
3.574
3.614
4.553
8.613
nahtsajaR
.41
6.253,2
5.940,2
7.597,1
1.825,1
3.603,1
7.441,1
1.710,1
5.168
9.837
6.586
5.836
7.955
6.715
7.444
7.093
4.543
7.592
udaN
limaT
.51
7.472,3
6.779,2
4.266,2
9.044,2
7.344,2
3.992,2
3.460,2
7.729,1
4.797,1
8.776,1
6.045,1
7.263,1
6.042,1
3.150,1
2.859
0.138
3.977
hsedarP
rattU
.61
0.880,3
3.348,2
1.095,2
1.163,2
2.631,2
2.929,1
3.557,1
3.405,1
2.463,1
5.142,1
2.441,1
4.379
7.498
2.387
0.466
3.945
4.044
lagneB
tseW
.71
yrogetaC
laicepS
.II
7.7
9.06
1.74
7.24
5.93
1.53
6.13
3.95
4.82
7.32
1.42
7.02
4.71
7.9
9.7
4.7
4.7
hsedarP
lahcanurA
.1
8.993
8.453
7.903
5.692
4.972
6.462
1.652
0.822
9.102
9.491
0.481
4.071
9.651
0.131
9.911
3.201
7.68
massA
.2
3.804
4.573
8.833
3.492
3.282
2.462
7.732
0.912
8.491
4.181
9.371
8.461
8.341
3.221
6.001
0.78
4.87
hsedarP
lahcamiH
.3
3.105
6.474
2.844
2.504
0.763
5.123
2.103
8.052
0.122
7.691
3.481
8.851
3.741
3.501
2.69
0.19
4.77
rimhsaK
dna ummaJ
.4
5.87
9.27
9.07
2.86
0.56
2.26
8.55
8.84
3.54
9.14
6.04
4.23
4.42
9.81
7.81
7.81
1.61
rupinaM
.5
1.28
1.57
9.56
6.25
7.35
4.34
4.93
0.73
2.23
2.82
1.62
1.42
2.12
2.81
3.51
9.31
2.11
ayalahgeM
.6
6.86
2.46
2.26
2.55
2.94
6.64
8.73
5.14
5.93
5.33
5.13
2.92
1.62
7.91
1.71
8.31
8.11
maroziM
.7
9.18
5.38
5.38
4.47
5.76
0.95
0.55
8.14
8.53
2.23
1.03
4.62
9.32
9.32
8.81
0.61
9.31
dnalagaN
.8
9.24
7.73
4.33
9.92
9.72
5.42
8.42
2.02
1.71
1.41
9.21
5.11
1.01
9.9
3.9
5.8
9.5
mikkiS
.9
9.401
2.29
4.78
7.67
6.56
9.06
5.45
1.74
4.54
2.64
6.35
5.84
6.04
8.23
2.82
8.32
9.91
arupirT
.01
9.183
8.933
1.303
7.862
5.842
9.212
5.691
2.271
5.641
1.331
2.021
2.101
7.28
7.26
2.05
1.14
β
dnahkarattU
.11
8.340,13
4.358,72
6.217,42
5.201,22
2.939,91
8.982,81
5.684,61
0.207,41
0.382,31
8.514,21
2.774,11
7.041,01
7.130,9
3.468,7
5.709,6
5.149,5
3.590,5
setatS
llA
:meti
omeM
7.923
0.733
3.523
4.292
1.692
4.103
4.562
8.352
4.352
7.552
7.512
4.851
5.141
9.421
8.79
2.97
5.36
ihleD
TCN
.1
6.57
5.07
3.66
7.15
4.45
1.64
4.93
3.33
2.92
7.12
2.81
5.51
1.31
β
β
β
β
yrrehcuduP
.2
.elbacilppa
toN/elbaliava
toN
:'β'
.setamitsE
tegduB
:EB
.setamitsE
desiveR
:ER
.βygolodohteM
dna
secruoS
ataD
no
seton
yrotanalpxEβ
eeS
:etoN
.81
tnemetatS
ni sa emaS
:ecruoSStatements
91
PDSG
fo
egatnecrep
sA
β
seitilibaiL
gnidnatstuO
latoT
:02
tnemetatS
)hcraM-dne
ta
sA(
)tnec
reP(
6102
5102
4102
3102
2102
1102
0102
9002
8002
7002
6002
5002
4002
3002
2002
1002
0002
etatS
)EB(
)ER(
81
71
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
0.42
0.42
9.22
0.32
5.22
9.32
9.52
8.52
4.72
0.03
5.23
6.33
4.23
6.13
3.92
2.72
5.52
hsedarP
arhdnA
.1
3.52
2.52
8.52
4.62
9.72
2.13
5.63
2.93
5.64
5.94
3.75
5.55
2.75
8.55
1.65
5.94
0.26
rahiB
.2
5.51
2.51
0.41
0.31
4.21
3.41
4.61
5.51
3.81
0.12
7.42
4.52
4.52
9.62
0.52
5.42
β
hragsittahhC
.3
6.03
9.82
2.72
5.62
0.32
4.82
9.82
1.82
9.33
4.53
8.53
7.43
7.73
1.93
7.74
7.73
8.53
aoG
.4
3.32
2.42
6.42
7.52
3.52
4.72
6.82
9.92
5.03
1.23
9.33
1.53
5.43
3.63
1.63
8.53
9.82
tarajuG
.5
3.12
5.12
5.02
8.91
0.91
8.71
3.81
4.81
7.91
8.22
8.42
0.62
5.62
9.62
4.62
6.42
3.62
anayraH
.6
9.02
2.12
9.12
1.32
1.32
2.22
8.62
4.72
4.52
5.82
8.72
9.12
3.02
9.62
4.42
6.22
β
dnahkrahJ
.7
1.42
5.22
6.22
6.12
3.32
8.22
0.52
0.12
4.22
6.52
3.52
6.62
6.82
9.72
0.62
9.12
5.91
akatanraK
.8
1.82
5.82
7.13
6.13
3.03
8.13
5.23
0.33
4.33
0.43
0.53
6.63
4.73
5.63
0.53
4.33
7.92
alareK
.9
3.02
5.12
2.22
8.42
5.62
7.82
8.92
6.03
0.43
5.63
9.93
5.93
9.43
5.23
4.82
4.62
6.03
hsedarP
ayhdaM
.01
1.02
5.02
5.02
3.12
0.12
0.22
8.32
8.42
7.32
5.72
0.03
0.03
2.92
9.72
7.62
9.42
1.22
arthsarahaM
.11
8.81
1.91
5.81
6.91
7.12
8.32
1.82
6.92
2.33
2.24
9.74
6.74
2.15
3.75
5.55
5.15
2.44
ahsidO
.21
4.13
4.23
2.23
4.23
3.23
1.33
3.43
4.53
6.63
1.04
1.74
6.84
4.74
7.84
8.44
1.14
5.93
bajnuP
.31
0.62
8.52
8.42
2.52
7.52
4.92
5.43
5.63
6.93
6.14
6.64
9.64
7.34
3.94
6.14
6.93
2.53
nahtsajaR
.41
2.12
0.12
0.12
5.02
6.91
6.91
2.12
5.12
1.12
1.22
8.42
6.52
3.72
0.62
3.42
7.12
4.02
udaN
limaT
.51
1.03
5.03
9.03
3.13
6.53
3.83
4.93
3.34
9.64
9.94
5.25
2.25
1.25
5.84
0.84
7.34
4.24
hsedarP
rattU
.61
9.23
5.53
7.63
1.93
4.04
9.14
0.44
0.44
6.54
4.74
7.94
7.64
5.74
8.64
4.24
4.83
7.23
lagneB
tseW
.71
yrogetaC
laicepS
.II
3.4
1.93
8.43
1.63
6.63
9.83
3.24
2.401
0.95
7.75
2.46
3.95
0.06
1.83
7.03
8.33
3.73
hsedarP
lahcanurA
.1
1.02
3.91
4.91
4.12
2.22
5.32
7.62
1.82
4.82
1.03
0.13
9.13
6.23
7.92
8.03
3.72
5.42
massA
.2
8.83
3.04
0.14
9.93
5.34
0.64
3.94
8.25
4.75
9.95
1.46
5.86
5.66
0.26
2.65
2.35
2.35
hsedarP
lahcamiH
.3
3.25
0.45
2.15
7.25
8.35
4.55
3.26
3.95
6.95
2.95
6.16
1.85
0.95
0.64
4.74
4.84
9.34
rimhsaK
dna ummaJ
.4
9.14
6.44
5.94
7.35
7.85
0.86
6.76
0.66
8.66
2.86
0.17
1.36
7.45
0.84
4.94
5.35
1.44
rupinaM
.5
5.82
6.92
0.03
7.72
2.13
8.92
0.13
9.13
1.33
7.23
9.53
7.63
6.53
8.33
2.03
0.13
6.72
ayalahgeM
.6
3.84
4.15
4.06
1.66
3.17
0.37
8.17
6.09
5.301
9.101
2.601
9.801
6.201
1.38
5.08
5.27
6.96
maroziM
.7
7.43
5.14
1.74
5.74
7.84
2.05
2.25
3.44
3.44
4.44
6.54
2.54
7.34
0.74
7.14
5.14
6.34
dnalagaN
.8
7.42
6.52
0.72
5.82
3.13
1.33
5.04
5.26
0.86
2.56
7.46
1.66
0.56
4.17
3.57
4.77
9.06
mikkiS
.9
6.92
0.03
6.23
8.33
8.23
1.43
4.53
7.43
5.83
4.24
5.45
5.45
1.05
4.54
2.14
4.04
2.83
arupirT
.01
4.42
5.42
7.42
8.42
4.52
4.52
8.72
7.03
9.13
2.63
1.04
8.04
7.83
5.23
3.03
1.72
β
dnahkarattU
.11
0.22
3.22
9.12
2.22
8.22
5.32
5.52
1.62
6.62
9.82
1.13
3.13
8.13
0.13
3.92
3.72
2.52
setatS
llA
:meti
omeM
3.6
5.7
3.8
7.8
3.01
9.11
2.21
4.31
0.61
9.81
7.81
8.51
3.61
1.61
8.31
1.21
5.01
ihleD
TCN
.1
2.42
3.72
5.13
8.03
1.73
2.53
0.23
1.33
6.13
0.62
8.22
9.62
7.12
β
β
β
β
yrrehcuduP
.2
.elbacilppa
toN/elbaliava
toN
:'β'
.setamitsE
tegduB
:EB
.setamitsE
desiveR
:ER
.βygolodohteM
dna
secruoS
ataD
no
seton
yrotanalpxEβ
eeS
:etoN
.81
tnemetatS
ni sa emaS
:ecruoSState Finances : A Study of Budgets of 2015-16
92
stnemnrevoG
etatS
fo
sgniworroB
tekraM
:12
tnemetatS
)noilliB
`(
61-5102
51-4102
41-3102
etatS
tnuomA
stnemyapeR
tnuomA
teN
stnemyapeR
ssorG
tnuomA
teN
stnemyapeR
ssorG
desiaR
desiaR
noitacollA
noitacollA
desiaR
noitacollA
noitacollA
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
5.041
6.51
0.081
3.251
6.72
9.971
1.441
9.842
3.72
2.672
hsedarP
arhdnA
.1
0.06
7.21
0.18
0.38
3.41
3.79
0.53
7.86
5.11
3.08
rahiB
.2
0.73
8.1
0.24
1.14
9.3
0.54
0.32
9.13
6.1
4.33
hragsittahhC
.3
5.01
2.1
0.8
0.8
3.1
4.9
0.8
8.01
1.1
9.11
aoG
.4
6.261
3.51
2.941
8.781
1.51
9.202
7.09
8.891
8.22
6.122
tarajuG
.5
0.141
3.9
0.231
2.131
3.8
5.931
0.76
2.701
2.8
4.511
anayraH
.6
0.53
9.5
5.94
7.84
6.4
3.35
0.31
2.24
1.4
3.64
dnahkrahJ
.7
9.141
7.21
0.581
3.761
1.42
4.191
0.89
3.141
9.51
2.751
akatanraK
.8
0.031
9.71
0.231
1.811
2.41
3.231
0.79
6.79
3.41
9.111
alareK
.9
0.531
1.51
0.301
2.09
3.12
5.111
0.03
4.39
3.41
7.701
hsedarP
ayhdaM
.01
0.092
1.13
8.052
6.322
2.72
8.052
0.781
8.291
9.34
7.632
arthsarahaM
.11
7.43
1.9
0.03
3.74
6.31
9.06
β
6.93
8.8
4.84
ahsidO
.21
0.29
0.4
5.98
6.39
7.21
3.601
0.37
7.08
4.71
1.89
bajnuP
.31
0.521
9.41
0.321
2.311
0.32
2.631
0.08
2.601
2.61
4.221
nahtsajaR
.41
3.072
4.9
5.552
0.542
1.42
1.962
0.081
2.312
7.02
9.332
udaN
limaT
.51
5.331
2.11
0.28
1.121
β
1.121
β
β
β
β
anagnaleT
.61
0.062
0.14
0.571
5.161
2.43
8.591
0.07
9.461
5.92
4.491
hsedarP
rattU
.71
0.081
5.03
0.912
2.802
6.63
8.442
0.851
6.122
8.63
4.852
lagneB
tseW
.81
yrogetaC
laicepS.II
3.1
7.0
1.3
2.3
2.0
4.3
0.1
6.2
3.0
9.2
hsedarP
lahcanurA
.1
0.82
7.8
5.92
5.42
1.7
7.13
β
5.52
0.5
5.03
massA
.2
5.42
9.7
5.32
4.12
1.7
5.82
7.81
0.22
1.6
1.82
hsedarP
lahcamiH
.3
0.91
5.3
0.41
8.61
8.2
7.91
0.51
0.52
9.3
9.82
rimhsaK
dna ummaJ
.4
0.5
9.1
6.4
3.5
1.1
4.6
0.2
7.3
5.0
2.4
rupinaM
.5
1.6
7.1
5.5
9.3
0.1
0.5
6.2
7.3
5.0
2.4
ayalahgeM
.6
0.2
9.0
3.2
3.2
5.0
8.2
1.2
7.2
3.0
0.3
maroziM
.7
5.5
0.3
0.6
8.4
4.1
2.6
9.3
4.4
2.1
6.5
dnalagaN
.8
5.4
5.0
3.3
1.3
2.0
4.3
8.1
5.2
2.0
6.2
mikkiS
.9
0.5
9.1
5.1
5.5
2.1
7.6
0.2
3.7
8.0
0.8
arupirT
.01
0.92
9.6
0.42
9.72
1.5
0.33
0.5
1.62
6.7
7.33
dnahkarattU
.11
4.315,2
5.692
7.304,2
1.063,2
8.333
9.396,2
9.704,1
3.581,2
8.023
1.605,2
latoT
:meti
omeM
5.4
β
7.4
5.4
β
5.4
7.2
β
β
β
yrrehcuduP
fo
TU
.61-5102
rof
elbaliava
ton
era
smeti
eseht
ot
gniniatrep
atad
erofereht
dna
serug
fi
noitacolla
ten/ssorg
edivorp
ot
deunitnocsid
sah
aidnI
fo
tnemnrevoG
,ecnaniF
fo
yrtsiniM
)1
:etoN
.61-5102
rof
6102
,01
yraurbeF
ot
pu
si
βdesiaR
tnuomAβ
dna
βtnemyapeRβ
meti
eht
rof ataD
)2
.sdrocer
knaB
evreseR
:ecruoSStatements
Statement 22: State Government Market Loans
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
ANDHRA PRADESH 50 8.57% Andhra Pradesh Government Stock 2020 8.7
Loans bearing interest 51 8.11% Andhra Pradesh Government Stock 2020 5.8
1 5.85% Andhra Pradesh 2015 1.5 52 8.18% Andhra Pradesh Government Stock 2020 5.8
2 6.20% Andhra Pradesh 2015 2.7 53 8.37% Andhra Pradesh Government Stock 2020 5.8
3 7.39% Andhra Pradesh Government Stock 2015 2.8 54 8.42% Andhra Pradesh Government Stock 2020 5.8
4 7.77% Andhra Pradesh S.D.L. 2015 4.6 55 8.52% Andhra Pradesh Government Stock 2020 2.9
5 7.34% Andhra Pradesh Government Stock 2015 2.2 56 8.39% Andhra Pradesh Government Stock 2020 5.8
6 7.32% Andhra Pradesh Government Stock 2016 1.8 57 8.35% Andhra Pradesh Government Stock 2020 2.9
7 7.74% Andhra Pradesh Government Stock 2016 2.3 58 8.53% Andhra Pradesh Government Stock 2021 5.8
8 7.89% Andhra Pradesh Government Stock 2016 2.9 59 8.51% Andhra Pradesh Government Stock 2021 8.5
9 7.93% Andhra Pradesh Government Stock 2016 2.4 60 8.37% Andhra Pradesh Government Stock 2021 3.2
10 8.65% Andhra Pradesh Government Stock 2016 4.3 61 8.47% Andhra Pradesh Government Stock 2021 7.0
11 5.90% Andhra Pradesh Government Stock 2017 1.8 62 8.67% Andhra Pradesh Government Stock 2021 5.8
12 7.17% Andhra Pradesh Government Stock 2017 0.3 63 8.60% Andhra Pradesh Government Stock 2021 5.8
13 7.99% Andhra Pradesh Government Stock 2017 1.7 64 8.66% Andhra Pradesh Government Stock 2021 10.5
14 8.00% Andhra Pradesh Government Stock 2017 3.5 65 8.56% Andhra Pradesh Government Stock 2021 11.7
15 8.17% Andhra Pradesh Government Stock 2017 2.2
66 8.63% Andhra Pradesh Government Stock 2021 11.7
16 8.40% Andhra Pradesh Government Stock 2017 2.3
67 8.90% Andhra Pradesh Government Stock 2021 9.5
(Loan Code No.07230)
68 9.04% Andhra Pradesh Government Stock 2021 2.2
17 8.40% Andhra Pradesh Government Stock 2017 4.4
(Loan Code No.07267) 69 9.17% Andhra Pradesh Government Stock 2021 5.8
18 8.45% Andhra Pradesh Government Stock 2017 3.5 70 9.25% Andhra Pradesh Government Stock 2021 2.9
19 8.48% Andhra Pradesh Government Stock 2017 2.9 71 8.72% Andhra Pradesh Government Stock 2022 5.8
20 7.10% Andhra Pradesh Government Stock 2018 8.7 72 8.71% Andhra Pradesh Government Stock 2022 5.8
21 7.92% Andhra Pradesh Government Stock 2018 2.9 73 8.97% Andhra Pradesh Government Stock 2022 5.8
22 7.98% Andhra Pradesh Government Stock 2018 4.7 74 9.20% Andhra Pradesh Government Stock 2022 8.7
23 8.11% Andhra Pradesh S. D. L. 2018 5.8 75 9.14% Andhra Pradesh Government Stock 2022 4.4
24 8.25% Andhra Pradesh S. D. L. 2018 5.8 76 9.12% Andhra Pradesh Government Stock 2022 5.8
25 8.41% Andhra Pradesh S. D. L. 2018 5.8 77 8.86% Andhra Pradesh Government Stock 2022 4.4
26 8.45% Andhra Pradesh S. D. L. 2018 8.7 78 8.89% Andhra Pradesh Government Stock 2022 4.4
27 9.40% Andhra Pradesh S. D. L. 2018 2.9 79 8.90% Andhra Pradesh Government Stock 2022 4.4
28 9.89% Andhra Pradesh S. D. L. 2018 5.8 80 8.84% Andhra Pradesh Government Stock 2022 4.4
29 5.80% Andhra Pradesh Government Stock 2019 5.8
81 8.90% Andhra Pradesh Government Stock 2022 4.4
30 7.13% Andhra Pradesh Government Stock 2019 9.5
82 8.90% Andhra Pradesh Government Stock 2022 4.4
31 7.45% Andhra Pradesh Government Stock 2019 7.1
83 8.91% Andhra Pradesh Government Stock 2022 4.4
32 8.09% Andhra Pradesh Government Stock 2019 1.0
84 8.89% Andhra Pradesh Government Stock 2022 4.4
33 8.59% Andhra Pradesh Government Stock 2019 11.2
85 8.86% Andhra Pradesh Government Stock 2022 4.4
34 7.11% Andhra Pradesh Government Stock 2019 9.3
86 8.80% Andhra Pradesh Government Stock 2022 4.4
35 7.45% Andhra Pradesh Government Stock 2019 5.8
87 8.85% Andhra Pradesh Government Stock 2022 4.4
36 7.50% Andhra Pradesh Government Stock 2019 5.8
88 8.91% Andhra Pradesh Government Stock 2022 4.4
37 7.83% Andhra Pradesh Government Stock 2019 5.8
89 8.91% Andhra Pradesh Government Stock 2022 4.4
38 7.85% Andhra Pradesh Government Stock 2019 5.8
90 8.59% Andhra Pradesh Government Stock 2023 (13210) 11.7
39 7.93% Andhra Pradesh Government Stock 2019 5.8
91 8.72% Andhra Pradesh Government Stock 2023 14.6
40 8.10% Andhra Pradesh Government Stock 2019 8.2
(Loan Code No.09331) 92 8.59% Andhra Pradesh Government Stock 2023 (13228) 2.9
41 8.19% Andhra Pradesh Government Stock 2019 11.7 93 8.64% Andhra Pradesh Government Stock 2023 11.7
42 8.10% Andhra Pradesh Government Stock 2019 5.8 94 8.25% Andhra Pradesh Government Stock 2023 5.8
(Loan Code No.09351) 95 7.57% Andhra Pradesh Government Stock 2023 5.8
43 8.22% Andhra Pradesh Government Stock 2019 5.8
96 9.84% Andhra Pradesh Government Stock 2023 5.8
44 8.26% Andhra Pradesh Government Stock 2019 2.9 (Loan Code 9001 524 065)
45 8.25% Andhra Pradesh Government Stock 2020 2.9 97 9.71% Andhra Pradesh Government Stock 2023 10.5
46 8.48% Andhra Pradesh Government Stock 2020 5.8 98 9.77% Andhra Pradesh Government Stock 2023 5.8
47 8.39% Andhra Pradesh Government Stock 2020 8.1 99 9.55% Andhra Pradesh Government Stock 2023 10.9
48 8.07% Andhra Pradesh Government Stock 2020 5.8 100 9.84% Andhra Pradesh Government Stock 2023 4.6
49 8.49% Andhra Pradesh Government Stock 2020 2.9 (Loan Code 9001 524 106)
93State Finances : A Study of Budgets of 2015-16
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
101 9.38% Andhra Pradesh Government Stock 2023 7.1 15 10.52% Andhra Pradesh S. D. L. 2010 β
102 9.39% Andhra Pradesh Government Stock 2023 5.9 16 11.50% Andhra Pradesh S. D. L. 2010 β
103 9.52% Andhra Pradesh Government Stock 2023 10.7 17 11.50% Andhra Pradesh S. D. L. 2011 β
104 9.38% Andhra Pradesh Government Stock 2024 11.1 18 12.00% Andhra Pradesh S. D. L. 2011 β
105 9.26% Andhra Pradesh Government Stock 2024 8.7 19 6.95% Andhra Pradesh S. D. L. 2013 β
106 9.40% Andhra Pradesh Government Stock 2024 5.3 20 7.02% Andhra Pradesh S. D. L. 2015 β
107 9.63% Andhra Pradesh Government Stock 2024 8.6 TOTAL [E] β
108 9.84% Andhra Pradesh Government Stock 2024 6.5 Total Debt [A+B+C+D+E] 800.8
109 9.71% Andhra Pradesh Government Stock 2024 10.2 ARUNACHAL PRADESH
110 9.48% Andhra Pradesh Government Stock 2024 7.3 Loans bearing interest
111 9.40% Andhra Pradesh S. D. L. 2024 11.7 1 6.20% Arunachal Pradesh S.D.L. 2015 0.1
112 9.21% Andhra Pradesh S. D. L. 2024 17.5 2 5.85% Arunachal Pradesh S.D.L. 2015 0.1
113 9.18% Andhra Pradesh S. D. L. 2024 11.7 3 7.39% Arunachal Pradesh S.D.L. 2015 0.1
4 7.53% Arunachal Pradesh S.D.L. 2015 0.1
114 9.08% Andhra Pradesh S. D. L. 2024 20.0
5 7.77% Arunachal Pradesh S.D.L. 2015 0.1
115 8.96% Andhra Pradesh S. D. L. 2024 10.0
6 7.61% Arunachal Pradesh S.D.L. 2016 0.2
116 8.88% Andhra Pradesh S. D. L. 2024 20.0
7 8.00% Arunachal Pradesh Government Stock 2016 0.1
117 8.46% Andhra Pradesh S. D. L. 2024 20.0
8 8.04% Arunachal Pradesh Government Stock 2016 0.5
118 8.26% Andhra Pradesh S. D. L. 2024 10.0
9 8.10% Arunachal Pradesh Government Stock 2017 0.5
119 8.09% Andhra Pradesh S. D. L. 2025 10.0
10 5.90% Arunachal Pradesh S.D.L. 2017 0.6
120 8.06% Andhra Pradesh S. D. L. 2025 10.0
11 8.42% Arunachal Pradesh Government Stock 2017 0.5
121 8.10% Andhra Pradesh S. D. L. 2025 10.0
12 8.48% Arunachal Pradesh Government Stock 2017 0.2
TOTAL [A] 784.4
13 8.00% Arunachal Pradesh Government Stock 2018 1.1
Power Bonds
14 8.46% Arunachal Pradesh Government Stock 2018 0.1
1 8.50% Andhra Pradesh Power Bonds April 2015 (03656) β
15 8.47% Arunachal Pradesh Government Stock 2019 0.3
2 8.50% Andhra Pradesh Power Bonds October 2015 (03671) 0.7
16 8.29% Arunachal Pradesh Government Stock 2020 0.8
3 8.50% Andhra Pradesh Power Bonds April 2016 (03686) 0.7
17 9.02% Arunachal Pradesh Government Stock 2022 0.3
TOTAL [B] 1.4
18 8.80% Arunachal Pradesh Government Stock 2022 0.2
TOTAL [A+B] 785.8
19 8.85% Arunachal Pradesh Government Stock 2022 0.5
Special Bonds
20 8.61% Arunachal Pradesh Government Stock 2023 1.0
1 8.50% Andhra Pradesh Special Bond 2029 9.8
21 9.30% Arunachal Pradesh Government Stock 2023 1.0
2 8.49% Andhra Pradesh Special Bond 2029 5.3
22 9.77% Arunachal Pradesh Government Stock 2024 0.8
TOTAL [C] 15.0
23 9.45% Arunachal Pradesh Government Stock 2024 0.5
TOTAL [A+B+C] 800.8
24 9.39% Arunachal Pradesh S. D. L. 2024 1.0
Compensation Bonds
25 9.24% Arunachal Pradesh S. D. L. 2024 0.5
1 5% Urban Land Ceiling Andhra Pradesh Bonds 1976 β
26 8.20% Arunachal Pradesh S. D. L. 2024 0.8
TOTAL [C] β
27 8.09% Arunachal Pradesh S. D. L. 2025 0.8
TOTAL [A+B+C+D] 800.8 TOTAL [A] 12.6
Loans Not Bearing Interest Power Bonds
1 8.25% Andhra Pradesh S. D. L. 1995 β 1 8.50% Arunachal Pradesh Govt Power Bonds April 2015 [03908] β
2 7.50% Andhra Pradesh S. D. L. 1997 β 2 8.50% Arunachal Pradesh Govt Power Bonds Oct 2015 [03919] β
3 9.75% Andhra Pradesh S. D. L. 1998 β 3 8.50% Arunachal Pradesh Govt Power Bonds April 2016 [03930] β
4 9.00% Andhra Pradesh S. D. L. 1999 β TOTAL [B] β
5 11.00% Andhra Pradesh S. D. L. 2001 β TOTAL [A+B] 12.7
6 11.00% Andhra Pradesh S. D. L. 2002 β Loans Not Bearing Interest
7 12.50% Andhra Pradesh S. D. L. 2004 β 1 5.85% Arunachal Pradesh S. D. L. 2015 [II series] β
8 14.00% Andhra Pradesh S. D. L. 2005 β TOTAL [C] β
9 13.00% Andhra Pradesh S. D. L. 2007 β TOTAL [A+B+C] 12.7
10 13.05% Andhra Pradesh S. D. L. 2007 β ASSAM
11 11.50% Andhra Pradesh S. D. L. 2008 β Loans bearing interest
12 12.25% Andhra Pradesh S. D. L. 2009 β 1 6.20% Assam S. D. L. 2015 1.3
13 11.50% Andhra Pradesh S. D. L. 2009 β 2 5.85% Assam S. D. L. 2015 1.6
14 11.85% Andhra Pradesh S. D. L. 2009 β 3 7.39% Assam S. D. L. 2015 1.5
94Statements
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
4 7.50% Assam Government Stock 2015 2.1 9 7.10% Bihar Government Stock 2019 7.3
5 7.77% Assam S. D. L. 2015 2.2 10 8.78% Bihar Government Stock 2019 11.4
6 7.65% Assam Government Stock 2016 2.0 11 8.45% Bihar Government Stock 2019 7.8
7 7.75% Assam Government Stock 2016 1.0 12 7.89% Bihar Government Stock 2019 10.0
8 7.89% Assam Government Stock 2016 1.7 13 8.49% Bihar Government Stock 2019 7.9
9 7.95% Assam Government Stock 2016 2.6 14 8.25% Bihar Government Stock 2019 6.0
10 8.11% Assam Government Stock 2016 2.2 15 8.35% Bihar Government Stock 2019 6.1
11 5.90% Assam S. D. L. 2017 2.1 16 8.53% Bihar Government Stock 2020 10.0
12 7.17% Assam S. D. L. 2017 0.3 17 8.55% Bihar Government Stock 2021 10.0
13 8.20% Assam Government Stock 2017 (07208) 2.1 18 8.38% Bihar Government Stock 2021 6.0
14 8.20% Assam Government Stock 2017 (07254) 1.2 19 8.89% Bihar Government Stock 2021 10.0
15 8.40% Assam Government Stock 2017 (07281) 2.0 20 8.80% Bihar Government Stock 2021 7.2
16 8.52% Assam Government Stock 2017 4.0 21 8.72% Bihar Government Stock 2022 12.8
17 7.97% Assam Government Stock 2018 2.5 22 8.99% Bihar Government Stock 2022 5.0
18 8.89% Assam Government Stock 2019 19.1 23 9.03% Bihar Government Stock 2022 5.0
19 8.43% Assam Government Stock 2019 6.0 24 9.16% Bihar Government Stock 2022 7.5
20 8.40% Assam Government Stock 2020 9.6 25 8.89% Bihar Government Stock 2022 10.0
21 8.53% Assam Government Stock 2020 9.5 26 8.97% Bihar Government Stock 2022 12.5
22 8.48% Assam Government Stock 2021 8.0 27 8.99% Bihar Government Stock 2022 10.0
23 8.95% Assam Government Stock 2022 3.0 28 8.68% Bihar Government Stock 2023 13.0
24 8.84% Assam Government Stock 2024 4.5 29 8.69% Bihar Government Stock 2023 5.0
25 8.07% Assam Government Stock 2025 10.0 30 8.62% Bihar Government Stock 2023 2.0
26 8.12% Assam Government Stock 2025 15.0 31 8.64% Bihar Government Stock 2023 11.0
TOTAL[A] 116.9 32 9.39% Bihar Government Stock 2023 15.0
Compensation Bonds 33 9.40% Bihar Government Stock 2023 10.0
1 2.5% Assam State Acquisition of Zamindaris Act 1951 β 34 9.52% Bihar S. D. L. 2023 10.0
Compensation Bonds 35 9.29% Bihar S. D. L. 2024 10.0
TOTAL[B] β 36 9.64% Bihar S. D. L. 2024 10.0
TOTAL [A+B] 116.9 37 9.84% Bihar S. D. L. 2024 10.0
Power Bonds 38 8.73% Bihar S. D. L. 2024 10.0
1 8.50% Government of Assam Power Bonds 2015 [03657] β 39 8.45% Bihar S. D. L. 2024 10.0
2 8.50% Government of Assam Power Bonds 2015 [03672] 0.4 40 8.17% Bihar S. D. L. 2024 10.0
3 8.50% Government of Assam Power Bonds 2016 [03687] 0.4 41 8.25% Bihar S. D. L. 2024 15.0
TOTAL [C] 0.9 42 8.15% Bihar S. D. L. 2025 15.0
TOTAL [A+B+C] 117.8 43 8.08% Bihar S. D. L. 2025 15.0
Loans Not Bearing Interest 44 8.06% Bihar S. D. L. 2025 6.0
1 7.00% Assam S. D. L. 1993 β TOTAL [A] 379.5
2 7.50% Assam S. D. L. 1997 β 8.50% Government of Bihar Power Bonds
3 12.50% Assam S. D. L. 2004 β 1 8.50% Government of Bihar Power Bond APRIL 2015(03909) β
4 13.00% Assam S. D. L. 2007 β 2 8.50% Government of Bihar Power Bond OCT 2015(03920) 1.0
5 7.02% Assam S. D. L. 2015 β 3 8.50% Government of Bihar Power Bond APRIL 2016(03931) 1.0
TOTAL [D] β TOTAL [B] 2.1
TOTAL [A+B+C+D] 117.8 TOTAL [A+B] 381.6
BIHAR Compensation Bonds
Loans Bearing Interest (Subsequent to reorganisation) 1 2.50% Bihar Zamindari Abolition Compensation Bond 0.3
1 5.85% Bihar S. D. L. 2015 2.0 TOTAL 0.3
2 6.20% Bihar S. D. L. 2015 3.4 TOTAL [A+B+C] 381.8
3 7.77% Bihar S. D. L. 2015 4.9 Loans not Bearing Interest (Prior to reorganisation)
4 7.39% Bihar S. D. L. 2015 2.3 1 6.75% Bihar S. D. L. 1992 β
5 5.90% Bihar S. D. L. 2017 5.7 2 7.00% Bihar S. D. L. 1993 β
6 7.17% Bihar S. D. L. 2017 3.3 3 7.50% Bihar S. D. L. 1997 β
7 8.25% Bihar S. D. L. 2018 10.9 4 9.75% Bihar S. D. L. 1998 β
8 6.45% Bihar Government Stock 2018 7.5 5 9.00% Bihar S. D. L. 1999 β
95State Finances : A Study of Budgets of 2015-16
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
6 8.75% Bihar S. D. L. 2000 β 8 13.50% Madhya Pradesh S. D. L. 2003 β
7 11.00% Bihar S. D. L. 2001 β 9 14.00% Madhya Pradesh S. D. L. 2005 β
8 11.00% Bihar S. D. L. 2002 β 10 13.75% Madhya Pradesh S. D. L. 2007 β
9 13.50% Bihar S. D. L. 2003 β 11 13.00% Madhya Pradesh S. D. L. 2007 β
10 14.00% Bihar S. D. L. 2005 β 12 11.50% Madhya Pradesh S. D. L. 2008 β
11 13.00% Bihar S. D. L. 2007 β 13 11.50% Madhya Pradesh S. D. L. 2009 β
12 11.50% Bihar S. D. L. 2009 β 14 11.00% Madhya Pradesh S. D. L. 2010 β
13 11.50% Bihar S. D. L. 2010 β 15 11.50% Madhya Pradesh S. D. L. 2011 β
14 11.50% Bihar S. D. L. 2011 β 16 12.00% Madhya Pradesh S. D. L. 2011 β
15 12.00% Bihar S. D. L. 2011 β TOTAL [D] β
TOTAL [D] β TOTAL [A+B+C+D] 99.3
TOTAL [A+B+C+D] 381.8 GOA
Loans not Bearing Interest (Subsequent to reorganisation) Loans bearing interest
1 5.85% Bihar S. D. L. 2015 ( II SR) β 1 5.85% Goa S. D. L. 2015 0.6
2 7.02% Bihar S. D. L. 2015 β 2 6.20% Goa S. D. L. 2015 0.2
TOTAL [E] β 3 7.77% Goa S. D. L. 2015 0.3
TOTAL DEBT [A+B+C+D+E] 381.8 4 7.65% Goa Government Stock 2016 0.5
CHHATISGARH** 5 5.90% Goa S. D. L. 2017 0.5
Loans Bearing Interest (Subsequent to reorganisation) 6 7.99% Goa Government Stock 2017 1.0
1 6.20% Chhatisgarh S. D. L. 2015 0.8 7 8.40% Goa Government Stock 2017 1.5
2 5.85% Chhatisgarh S. D. L. 2015 1.0 8 8.23% Goa Government Stock 2018 2.0
3 5.90% Chhatisgarh S. D. L. 2017 3.0 9 8.35% Goa Government Stock 2018 2.5
4 8.25% Chhatisgarh S. D. L. 2019 7.0 10 7.24% Goa Government Stock 2019 2.0
5 8.65% Chhatisgarh S. D. L. 2023 15.0 11 7.83% Goa Government Stock 2019 1.0
6 8.12% Chhatisgarh Government Stock 2023 8.0 12 8.08% Goa Government Stock 2019 1.0
7 8.02% Chhatisgarh Government Stock 2023 7.0 13 8.24% Goa Government Stock 2019 2.0
8 9.30% Chhatisgarh Government Stock 2023 8.0 14 8.14% Goa Government Stock 2019 1.0
9 9.60% Chhatisgarh S. D. L. 2024 7.0 15 8.40% Goa Government Stock 2019 1.0
10 9.22% Chhatisgarh S. D. L. 2024 5.0 16 8.51% Goa Government Stock 2020 1.0
11 8.98% Chhatisgarh S. D. L. 2024 2.5 17 8.10% Goa Government Stock 2020 1.0
12 9.03% Chhatisgarh S. D. L. 2024 7.5 18 8.37% Goa Government Stock 2020 1.0
13 8.85% Chhatisgarh S. D. L. 2024 7.0 19 8.48% Goa Government Stock 2020 1.0
14 8.08% Chhatisgarh S. D. L. 2025 7.0 20 8.65% Goa Government Stock 2021 2.0
15 8.06% Chhatisgarh S. D. L. 2025 8.0 21 9.20% Goa Government Stock 2021 1.3
16 8.02% Chhatisgarh S. D. L. 2025 5.0 22 9.19% Goa Government Stock 2021 0.7
TOTAL [A] 98.9 23 9.02% Goa Government Stock 2021 1.0
Power Bonds 24 9.23% Goa Government Stock 2022 0.5
1 8.50% Chhatisgarh Power Bonds April 2015 [03910] β 25 8.90% Goa Government Stock 2022 1.5
2 8.50% Chhatisgarh Power Bonds October 2015 [03921] 0.2 26 8.87% Goa Government Stock 2022 2.0
3 8.50% Chhatisgarh Power Bonds April 2016 [03932] 0.2 27 8.85% Goa Government Stock 2022 1.5
TOTAL [B] 0.5 28 8.63% Goa Government Stock 2023 1.5
Compensation Bonds 29 8.60% Goa Government Stock 2023 2.0
1 5% Urban Land ceiling (Madhya Pradesh) Bonds β 30 7.58% Goa Government Stock 2023 2.0
TOTAL [B] β 31 7.93% Goa Government Stock 2023 2.0
TOTAL [A+B+C] 99.3 32 9.60% Goa Government Stock 2023 1.5
Loans Not Bearing Interest (Prior to reorganisation) 33 9.40% Goa Government Stock 2023 1.5
1 6.75% Madhya Pradesh S. D. L. 1992 β 34 9.35% Goa S. D. L. 2024 1.0
2 7.00% Madhya Pradesh S. D. L. 1993 β 35 9.77% Goa S. D. L. 2024 1.0
3 7.50% Madhya Pradesh S. D. L. 1997 β 36 9.45% Goa S. D. L. 2024 0.9
4 9.75% Madhya Pradesh S. D. L. 1998 β 37 9.38% Goa S. D. L. 2024 1.0
5 9.00% Madhya Pradesh S. D. L. 1999 β 38 8.83% Goa S. D. L. 2024 2.0
6 8.75% Madhya Pradesh S. D. L. 2000 β 39 8.95% Goa S. D. L. 2024 1.0
7 11.00% Madhya Pradesh S. D. L. 2001 β 40 9.05% Goa S. D. L. 2024 2.0
96Statements
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
41 8.91% Goa S. D. L. 2024 1.0 45 8.36% Gujarat Government Stock 2021 7.9
42 8.42% Goa S. D. L. 2024 1.0 46 8.68% Gujarat Government Stock 2021 10.0
TOTAL [A] 53.0 47 8.56% Gujarat Government Stock 2021 10.0
Loans Not Bearing Interest 48 8.59% Gujarat Government Stock 2021 10.0
1 11.50% Goa S. D. L. 2008 β 49 8.53% Gujarat Government Stock 2021 10.0
TOTAL [B] β 50 8.59% Gujarat Government Stock 2021 10.0
TOTAL [A+B] 53.0 51 8.62% Gujarat Government Stock 2021 10.0
GUJARAT 52 8.65% Gujarat Government Stock 2021 10.0
Loans bearing interest 53 8.88% Gujarat Government Stock 2021 10.0
1 5.85% Gujarat S. D. L. 2015 3.0 54 9.23% Gujarat Government Stock 2021 10.0
2 6.20% Gujarat S. D. L. 2015 6.3 55 8.78% Gujarat Government Stock 2021 15.0
3 7.77% Gujarat S. D. L. 2015 3.5 56 8.69% Gujarat Government Stock 2022 15.0
4 7.61% Gujarat S. D. L. 2016 2.5 57 8.94% Gujarat Government Stock 2022 15.0
58 8.99% Gujarat Government Stock 2022 15.0
5 8.71% Gujarat S. D. L. 2016 8.0
59 9.23% Gujarat Government Stock 2022 15.0
6 8.70% Gujarat S. D. L. 2016 8.0
60 9.13% Gujarat Government Stock 2022 15.0
7 8.75% Gujarat Government Stock 2016 6.0
61 9.12% Gujarat Government Stock 2022 15.0
8 8.75% Gujarat Government Stock 2016 9.5
62 8.88% Gujarat Government Stock 2022 15.0
9 5.90% Gujarat Government Stock 2017 6.3
63 8.83% Gujarat Government Stock 2022 12.0
10 8.00% Gujarat Government Stock 2017 4.0
64 8.91% Gujarat Government Stock 2022 12.0
11 8.20% Gujarat Government Stock 2017 4.8
65 8.84% Gujarat Government Stock 2022 10.0
12 8.30% Gujarat Government Stock 2017 4.0
66 8.79% Gujarat Government Stock 2022 10.0
13 8.32% Gujarat Government Stock 2017 10.0
67 8.89% Gujarat Government Stock 2022 10.0
14 7.03% Gujarat Government Stock 2018 12.5
68 8.58% Gujarat Government Stock 2023 15.0
15 7.80% Gujarat Government Stock 2018 10.0
69 8.68% Gujarat Government Stock 2023 10.0
16 7.87% Gujarat Government Stock 2018 10.0
70 8.24% Gujarat Government Stock 2023 10.0
17 8.07% Gujarat Government Stock 2018 10.0
71 7.77% Gujarat Government Stock 2023 20.0
18 8.14% Gujarat Government Stock 2018 10.0
72 9.59% Gujarat Government Stock 2023 10.2
19 8.39% Gujarat Government Stock 2018 3.6
73 9.50% Gujarat Government Stock 2023 10.0
20 8.43% Gujarat Government Stock 2018 11.4
74 9.65% Gujarat Government Stock 2023 5.8
21 9.60% Gujarat S. D. L. 2018 14.4
75 9.22% Gujarat Government Stock 2023 4.7
22 6.05% Gujarat Government Stock 2019 18.8
76 9.39% Gujarat Government Stock 2023 10.0
23 7.00% Gujarat Government Stock 2019 12.5
77 9.37% Gujarat Government Stock 2023 30.0
24 7.45% Gujarat Government Stock 2019 15.0 78 9.37% Gujarat S. D. L. 2024 15.6
25 8.40% Gujarat Government Stock 2019 16.6 79 9.53% Gujarat S. D. L. 2024 12.2
26 7.83% Gujarat Government Stock 2019 10.0 80 9.75% Gujarat S. D. L. 2024 12.0
27 7.85% Gujarat Government Stock 2019 15.0 81 9.01% Gujarat S. D. L. 2024 30.0
28 8.21% Gujarat Government Stock 2019 17.0 82 8.94% Gujarat S. D. L. 2024 10.0
29 8.23% Gujarat Government Stock 2019 15.0 83 8.84% Gujarat S. D. L. 2024 10.0
30 8.27% Gujarat Government Stock 2019 10.0 84 8.42% Gujarat S. D. L. 2024 10.0
31 8.33% Gujarat Government Stock 2020 15.0 85 8.43% Gujarat S. D. L. 2024 10.0
32 8.31% Gujarat Government Stock 2020 8.0 86 8.25% Gujarat S. D. L. 2024 10.0
33 8.09% Gujarat Government Stock 2020 12.1 87 8.14% Gujarat S. D. L. 2025 15.0
34 8.15% Gujarat Government Stock 2020 7.5 88 8.05% Gujarat S. D. L. 2025 13.0
35 8.32% Gujarat Government Stock 2020 10.0 89 8.07% Gujarat S. D. L. 2025 15.6
36 8.38% Gujarat Government Stock 2020 10.0 90 8.05% Gujarat S. D. L. 2025 15.6
37 8.35% Gujarat Government Stock 2020 10.0 91 8.07% Gujarat S. D. L. 2025 10.0
38 8.42% Gujarat Government Stock 2020 10.0 TOTAL [A] 1,004.3
39 8.51% Gujarat Government Stock 2020 10.0 Power Bonds
40 8.40% Gujarat Government Stock 2020 10.0 1 8.50% Gujarat Government Power Bonds April 2015 (03658) β
41 8.38% Gujarat Government Stock 2021 5.0 2 8.50% Gujarat Government Power Bonds October 2015 (03673) 0.8
42 8.52% Gujarat Government Stock 2021 5.0 3 8.50% Gujarat Government Power Bonds April 2016 (03688) 0.8
43 8.51% Gujarat Government Stock 2021 10.0 Total [B] 1.6
44 8.46% Gujarat Government Stock 2021 7.5 Total [A+B] 1,005.9
97State Finances : A Study of Budgets of 2015-16
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
Compensation Bonds 20 8.50% Haryana Government Stock 2021 6.0
1 5.00% Urban Land Ceiling (Gujarat) Bonds β 21 8.52% Haryana Government Stock 2021 6.0
2 3.00% Bombay Tenure Abolition Compensation Bonds β 22 8.38% Haryana Government Stock 2021 6.5
3 4.50% Gujarat Agricultural Lands Ceiling Act,1960 β 23 8.36% Haryana Government Stock 2021 18.0
Compensation Bonds
24 8.65% Haryana Government Stock 2021 10.0
4 3.00% Gujarat Surviving Alienations Act,1963 Compensation Bonds β
25 8.59% Haryana Government Stock 2021 5.0
Total [C] β
26 9.03% Haryana Government Stock 2021 5.0
Total [A+B+C] 1,005.9
27 9.22% Haryana Government Stock 2021 5.0
Loans Not Bearing Interest
28 8.71% Haryana Government Stock 2022 7.5
1 7.50% Gujarat S. D. L. 1997 β
29 8.88% Haryana Government Stock 2022 4.5
2 9.75% Gujarat S. D. L. 1998 β
30 8.93% Haryana Government Stock 2022 5.0
3 9.00% Gujarat S. D. L. 1999 β
31 9.39% Haryana Government Stock 2022 3.6
4 8.75% Gujarat S. D. L. 2000 β
32 9.17% Haryana Government Stock 2022 6.5
5 11.00% Gujarat S. D. L. 2001 β
33 8.91% Haryana Government Stock 2022 8.0
6 11.00% Gujarat S. D. L. 2002 β
34 8.90% Haryana Government Stock 2022 5.5
7 13.50% Gujarat S. D. L. 2003 β
35 8.85% Haryana Government Stock 2022 5.5
8 12.50% Gujarat S. D. L. 2004 β
36 8.91% Haryana Government Stock 2022 5.5
9 14.00% Gujarat S. D. L. 2005 β
37 8.93% Haryana Government Stock 2022 5.5
10 13.85% Gujarat S. D. L. 2006 β
38 8.86% Haryana Government Stock 2022 5.5
11 12.30% Gujarat S. D. L. 2007 β
39 8.81% Haryana Government Stock 2022 5.5
12 13.05% Gujarat S. D. L. 2007 β
40 8.94% Haryana Government Stock 2022 5.5
13 11.50% Gujarat S. D. L. 2008 β
41 8.88% Haryana Government Stock 2022 5.5
14 12.50% Gujarat S. D. L. 2008 β
42 8.64% Haryana Government Stock 2023 5.7
15 12.25% Gujarat S. D. L. 2009 β
43 8.57% Haryana Government Stock 2023 5.7
16 11.50% Gujarat S. D. L. 2009 β
44 8.66% Haryana Government Stock 2023 5.7
17 11.50% Gujarat S. D. L. 2010 β
45 8.62% Haryana Government Stock 2023 7.7
18 12.00% Gujarat S. D. L. 2010 β
46 8.60% Haryana Government Stock 2023 10.0
19 11.50% Gujarat S. D. L. 2011 β
47 8.49% Haryana Government Stock 2023 6.6
20 9.45% Gujarat S. D. L. 2011 β
48 7.59% Haryana Government Stock 2023 10.0
21 7.80% Gujarat S. D. L. 2012 β
49 8.50% Haryana Government Stock 2023 3.1
Total [D] β
50 9.05% Haryana Government Stock 2023 5.0
Total Debt [A+B+C+D] 1,005.9
51 9.89% Haryana Government Stock 2023 5.0
HARYANA
Loans bearing interest 52 9.72% Haryana Government Stock 2023 5.1
1 6.20% Haryana S. D. L. 2015 2.1 53 9.50% Haryana Government Stock 2023 4.8
2 5.85% Haryana S. D. L. 2015 2.0 54 9.81% Haryana Government Stock 2023 5.1
3 7.53% Haryana S. D. L. 2015 1.6 55 9.25% Haryana Government Stock 2023 4.7
4 7.77% Haryana S. D. L. 2015 1.9 56 9.25% Haryana Government Stock 2023 4.7
5 7.33% Haryana Government Stock 2016 1.7 57 9.39% Haryana Government Stock 2023 8.0
6 8.85% Haryana S. D. L. 2016 3.0 58 9.48% Haryana Government Stock 2023 4.9
7 5.90% Haryana S. D. L. 2017 1.4 59 9.24% Haryana S. D. L. 2024 10.6
8 8.78% Haryana S. D. L. 2017 8.0 60 9.51% Haryana S. D. L. 2024 10.0
9 8.81% Haryana S. D. L. 2018 5.0 61 9.80% Haryana S. D. L. 2024 10.0
10 7.27% Haryana Government Stock 2019 13.0 62 9.71% Haryana S. D. L. 2024 12.9
11 7.80% Haryana Government Stock 2019 15.0 63 9.47% Haryana S. D. L. 2024 4.0
12 7.83% Haryana Government Stock 2019 7.0 64 9.07% Haryana S. D. L. 2024 3.0
13 8.15% Haryana Government Stock 2019 12.0 65 8.94% Haryana S. D. L. 2024 7.0
14 8.27% Haryana Government Stock 2019 10.0 66 9.00% Haryana S. D. L. 2024 3.0
15 8.32% Haryana Government Stock 2020 4.0 67 8.90% Haryana S. D. L. 2024 10.0
16 8.54% Haryana Government Stock 2020 7.0 68 8.72% Haryana S. D. L. 2024 7.5
17 8.57% Haryana Government Stock 2020 10.0 69 8.43% Haryana S. D. L. 2024 5.0
18 8.07% Haryana Government Stock 2020 8.0 70 8.27% Haryana S. D. L. 2024 8.5
19 8.51% Haryana Government Stock 2020 8.0 71 8.13% Haryana S. D. L. 2025 6.0
98Statements
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
72 8.08% Haryana S. D. L. 2025 20.0 31 8.26% Himachal Pradesh Government Stock 2019 2.0
73 8.07% Haryana S. D. L. 2025 7.5 32 8.22% Himachal Pradesh Government Stock 2020 1.0
74 8.05% Haryana S. D. L. 2025 10.0 33 8.25% Himachal Pradesh Government Stock 2020 2.0
75 8.09% Haryana S. D. L. 2025 13.5 34 8.52% Himachal Pradesh Government Stock 2020 3.0
76 8.04% Haryana S. D. L. 2025 15.0 35 8.38% Himachal Pradesh Government Stock 2020 6.2
TOTAL [ A] 526.5 36 8.52% Himachal Pradesh Government Stock 2021 1.8
Power Bonds 37 8.42% Himachal Pradesh Government Stock 2021 4.7
1 8.50% Haryana Govt Power Bonds April 2015 [03659] β 38 8.85% Himachal Pradesh Government Stock 2021 1.0
2 8.50% Haryana Govt Power Bonds October 2015 [03674] 1.0 39 9.20% Himachal Pradesh Government Stock 2021 2.1
3 8.50% Haryana Govt Power Bonds April 2016 [03689] 1.0 40 8.83% Himachal Pradesh Government Stock 2021 2.0
TOTAL [B] 2.0 41 8.60% Himachal Pradesh Government Stock 2022 2.5
TOTAL [A+B] 528.5 42 8.73% Himachal Pradesh Government Stock 2022 1.6
Loans Not Bearing interest 43 8.94% Himachal Pradesh Government Stock 2022 4.1
1 7.50% Haryana S. D. L. 1997 β 44 8.87% Himachal Pradesh Government Stock 2022 4.3
2 9.75% Haryana S. D. L. 1998 β 45 8.91% Himachal Pradesh Government Stock 2022 4.3
3 14.00% Haryana S. D. L. 2005 β 46 8.92% Himachal Pradesh Government Stock 2022 3.0
4 13.75% Haryana S. D. L. 2007 β 47 8.91% Himachal Pradesh Government Stock 2022 2.0
5 12.30% Haryana S. D. L. 2007 β 48 8.24% Himachal Pradesh Government Stock 2023 2.5
6 7.02% Haryana S. D. L. 2015 β 49 7.62% Himachal Pradesh Government Stock 2023 6.0
TOTAL [C] β 50 9.39% Himachal Pradesh Government Stock 2023 1.0
TOTAL [A+B+C] 528.5 51 9.75% Himachal Pradesh Government Stock 2023 1.8
HIMACHAL PRADESH 52 9.32% Himachal Pradesh Government Stock 2023 3.0
Loans bearing interest 53 9.38% Himachal Pradesh S. D. L. 2024 2.0
1 5.85% Himachal Pradesh S. D. L. 2015 1.8 54 9.50% Himachal Pradesh S. D. L. 2024 3.0
2 6.20% Himachal Pradesh S. D. L. 2015 1.4 55 9.63% Himachal Pradesh S. D. L. 2024 5.5
3 7.39% Himachal Pradesh Government Stock 2015 0.6 56 9.23% Himachal Pradesh S. D. L. 2024 2.0
4 7.53% Himachal Pradesh S. D. L. 2015 2.1
57 8.98% Himachal Pradesh S. D. L. 2024 2.0
5 7.77% Himachal Pradesh S. D. L. 2015 2.0
58 8.96% Himachal Pradesh S. D. L. 2024 1.5
6 7.74% Himachal Pradesh Government Stock 2016 3.0
59 9.00% Himachal Pradesh S. D. L. 2024 1.5
7 5.90% Himachal Pradesh S. D. L. 2017 1.1
60 8.87% Himachal Pradesh S. D. L. 2024 4.0
8 7.17% Himachal Pradesh S. D. L. 2017 0.2
61 8.45% Himachal Pradesh S. D. L. 2024 2.0
9 8.16% Himachal Pradesh Government Stock 2017 3.0
62 8.26% Himachal Pradesh S. D. L. 2024 1.0
10 8.35% Himachal Pradesh Government Stock 2017 2.1
63 8.13% Himachal Pradesh S. D. L. 2025 3.0
11 8.40% Himachal Pradesh Government Stock 2017 1.0
64 8.08% Himachal Pradesh S. D. L. 2025 1.0
12 8.50% Himachal Pradesh Government Stock 2017 2.0
TOTAL [A] 152.0
13 8.75% Himachal Pradesh Government Stock 2017 4.0
Power Bonds
14 8.48% Himachal Pradesh Government Stock 2017 5.0
1 8.50% Himachal Pradesh Government Power Bonds April 2015 β
15 8.42% Himachal Pradesh Government Stock 2017 1.0 (03660)
16 8.31% Himachal Pradesh Government Stock 2017 2.5 2 8.50% Himachal Pradesh Government Power Bonds October β
17 7.97% Himachal Pradesh Government Stock 2018 2.0 2015 (03675)
18 8.00% Himachal Pradesh Government Stock 2018 2.7 3 8.50% Himachal Pradesh Government Power Bonds April 2016 β
(03690)
19 8.03% Himachal Pradesh Government Stock 2018 3.0
TOTAL [B] 0.1
20 8.21% Himachal Pradesh Government Stock 2018 2.0
TOTAL [A+B] 152.0
21 8.35% Himachal Pradesh Government Stock 2018 2.3
Loans not Bearing Interest
22 8.82% Himachal Pradesh Government Stock 2018 1.1
1 8.25% Himachal Pradesh S. D. L. 1995 β
23 8.74% Himachal Pradesh Government Stock 2018 1.0
24 9.30% Himachal Pradesh Government Stock 2018 0.9 2 11.00% Himachal Pradesh S. D. L. 2001 β
25 6.10% Himachal Pradesh Government Stock 2019 2.0 3 14.00% Himachal Pradesh S. D. L. 2005 β
26 7.09% Himachal Pradesh Government Stock 2019 3.0 4 10.35% Himachal Pradesh S. D. L. 2011 β
27 7.24% Himachal Pradesh Government Stock 2019 1.0 5 12.00% Himachal Pradesh S. D. L. 2011 β
28 7.40% Himachal Pradesh Government Stock 2019 1.0 6 7.02% Himachal Pradesh S. D. L. 2015 β
29 8.40% Himachal Pradesh Government Stock 2019 2.0 Total [C] β
30 8.43% Himachal Pradesh Government Stock 2019 5.0 TOTAL [A+B+C] 152.0
99State Finances : A Study of Budgets of 2015-16
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
JAMMU & KASHMIR 51 9.25% Jammu & Kashmir S. D. L. 2024 4.0
Loans bearing interest 52 9.46% Jammu & Kashmir S. D. L. 2024 1.8
1 5.85% Jammu & Kashmir S. D. L. 2015 0.2 53 9.40% Jammu & Kashmir S. D. L. 2024 3.0
2 6.20% Jammu & Kashmir S. D. L. 2015 1.1 54 9.18% Jammu & Kashmir S. D. L. 2024 1.5
3 7.53% Jammu & Kashmir S. D. L. 2015 1.3 55 8.99% Jammu & Kashmir S. D. L. 2024 1.5
4 7.77% Jammu & Kashmir S. D. L. 2015 1.0 56 8.96% Jammu & Kashmir S. D. L. 2024 3.0
5 7.75% Jammu & Kashmir Government Stock 2016 0.8 57 8.89% Jammu & Kashmir S. D. L. 2024 3.0
6 7.80% Jammu & Kashmir Government Stock 2016 0.9 58 8.06% Jammu & Kashmir S. D. L. 2025 2.0
7 8.04% Jammu & Kashmir S. D. L. 2016 1.5 TOTAL [A] 183.2
8 5.90% Jammu & Kashmir S. D. L. 2017 0.8 Special Power Bonds
9 7.17% Jammu & Kashmir S. D. L. 2017 1.2 1 8.50% Jammu & Kashmir Government Power Bonds April 2015 β
10 7.95% Jammu & Kashmir Government Stock 2017 2.0 (03911)
11 8.25% Jammu & Kashmir Government Stock 2017 1.2 2 8.50% Jammu & Kashmir Government Power Bonds October 0.8
2015 (03922)
12 8.45% Jammu & Kashmir Government Stock 2017 2.5
3 8.50% Jammu & Kashmir Government Power Bonds April 2016 0.8
13 8.50% Jammu & Kashmir Government Stock 2017 1.3
(03933)
14 8.57% Jammu & Kashmir Government Stock 2017 1.0
TOTAL [B] 1.6
15 8.58% Jammu & Kashmir Government Stock 2017 3.1 TOTAL [A+B] 184.8
16 8.90% Jammu & Kashmir Government Stock 2017 3.7 Loans Not Bearing Interest
17 7.98% Jammu & Kashmir Government Stock 2018 1.0 1 8.25% Jammu & Kashmir S. D. L. 1995 β
18 8.48% Jammu & Kashmir Government Stock 2018 9.8 2 9.00% Jammu & Kashmir S. D. L. 1999 β
19 8.54% Jammu & Kashmir Government Stock 2018 2.0 3 11.00% Jammu & Kashmir S. D. L. 2002 β
20 8.55% Jammu & Kashmir Government Stock 2018 2.1 4 14.00% Jammu & Kashmir S. D. L. 2005 β
21 8.68% Jammu & Kashmir Government Stock 2018 5.6 5 7.02% Jammu & Kashmir S. D. L. 2015 β
22 8.70% Jammu & Kashmir Government Stock 2018 1.1 TOTAL [C] β
23 7.98% Jammu & Kashmir Government Stock 2019 4.4 TOTAL [A+B+C] 184.8
24 8.34% Jammu & Kashmir Government Stock 2019 1.3 JHARKHAND
25 8.47% Jammu & Kashmir Government Stock 2019 2.1 Loans bearing Interest
26 7.30% Jammu & Kashmir Government Stock 2019 5.4 1 5.85% Jharkhand S. D. L. 2015 1.5
27 8.58% Jammu & Kashmir Government Stock 2020 5.4 2 6.20% Jharkhand S. D. L. 2015 0.8
28 8.40% Jammu & Kashmir Government Stock 2020 0.3 3 7.39% Jharkhand S. D. L. 2015 0.8
29 8.42% Jammu & Kashmir Government Stock 2020 5.0 4 7.50% Jharkhand Government Stock 2015 1.2
30 8.26% Jammu & Kashmir Government Stock 2020 5.0 5 7.77% Jharkhand S. D. L. 2015 1.7
31 8.42% Jammu & Kashmir Government Stock 2020 5.0 6 7.96% Jharkhand Government Stock 2016 1.3
32 8.42% Jammu & Kashmir Government Stock 2021 4.8 7 7.99% Jharkhand Government Stock 2016 1.9
33 8.55% Jammu & Kashmir Government Stock 2021 7.5 8 8.65% Jharkhand Government Stock 2016 0.8
34 8.48% Jammu & Kashmir Government Stock 2021 5.5 9 5.90% Jharkhand S. D. L. 2017 0.3
35 8.40% Jammu & Kashmir Government Stock 2021 0.3 10 8.04% Jharkhand Government Stock 2017 1.9
36 8.61% Jammu & Kashmir Government Stock 2021 7.0 11 7.89% Jharkhand Government Stock 2018 10.0
37 9.33% Jammu & Kashmir Government Stock 2021 1.8 12 6.34% Jharkhand Government Stock 2018 2.0
38 9.06% Jammu & Kashmir Government Stock 2021 5.0 13 8.75% Jharkhand Government Stock 2019 5.4
39 8.83% Jammu & Kashmir Government Stock 2021 2.0 14 8.47% Jharkhand Government Stock 2019 1.1
40 9.01% Jammu & Kashmir Government Stock 2022 2.0 15 6.10% Jharkhand Government Stock 2019 2.5
41 9.49% Jammu & Kashmir Government Stock 2022 12.0 16 7.44% Jharkhand Government Stock 2019 4.0
42 8.89% Jammu & Kashmir Government Stock 2022 5.0 17 7.54% Jharkhand Government Stock 2019 5.2
43 9.00% Jammu & Kashmir Government Stock 2022 6.0 18 8.01% Jharkhand Government Stock 2019 4.7
44 8.66% Jammu & Kashmir Government Stock 2023 5.0 19 8.37% Jharkhand Government Stock 2019 6.0
45 8.74% Jammu & Kashmir Government Stock 2023 5.5 20 8.19% Jharkhand Government Stock 2019 2.5
46 8.27% Jammu & Kashmir Government Stock 2023 2.0 21 8.28% Jharkhand Government Stock 2020 5.0
47 7.60% Jammu & Kashmir Government Stock 2023 2.0 22 8.52% Jharkhand Government Stock 2021 5.0
48 7.83% Jammu & Kashmir Government Stock 2023 3.0 23 9.05% Jharkhand Government Stock 2021 5.0
49 8.80% Jammu & Kashmir Government Stock 2023 5.0 24 9.32% Jharkhand Government Stock 2022 2.5
50 9.38% Jammu & Kashmir Government Stock 2023 3.0 25 8.90% Jharkhand Government Stock 2022 2.0
100Statements
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
26 8.93% Jharkhand Government Stock 2022 3.0 KARNATAKA
27 8.81% Jharkhand Government Stock 2022 5.0 Loans Bearing Interest
28 9.00% Jharkhand Government Stock 2022 5.0 1 5.85% Karnataka S. D. L. 2015 5.2
29 8.66% Jharkhand Government Stock 2023 10.0 2 6.20% Karnataka S. D. L. 2015 3.4
30 8.64% Jharkhand Government Stock 2023 8.0 3 7.77% Karnataka S. D. L. 2015 4.1
31 8.62% Jharkhand Government Stock 2023 3.0 4 8.74% Karnataka Government Stock 2016 18.0
32 8.55% Jharkhand Government Stock 2023 3.0 5 8.58% Karnataka Government Stock 2016 10.0
33 9.15% Jharkhand Government Stock 2023 3.0 6 8.77% Karnataka Government Stock 2016 9.6
34 9.75% Jharkhand Government Stock 2023 2.0 7 5.90% Karnataka Government Stock 2017 2.2
35 9.36% Jharkhand S. D. L. 2024 5.0 8 8.67% Karnataka Government Stock 2017 20.0
36 9.69% Jharkhand S. D. L. 2024 4.5 9 8.68% Karnataka Government Stock 2017 10.0
37 9.67% Jharkhand S. D. L. 2024 7.0 10 8.84% Karnataka Government Stock 2017 10.0
11 8.40% Karnataka Government Stock 2018 7.5
38 9.69% Jharkhand S. D. L. 2024 5.0
12 6.70% Karnataka Government Stock 2019 15.0
39 8.27% Jharkhand S. D. L. 2024 7.5
13 7.76% Karnataka Government Stock 2019 (09230) 30.0
40 8.16% Jharkhand S. D. L. 2025 15.0
14 8.49% Karnataka Government Stock 2019 29.2
41 8.08% Jharkhand S. D. L. 2025 12.0
15 7.76% Karnataka Government Stock 2019 (09309) 10.0
42 8.10% Jharkhand S. D. L. 2025 10.0
16 7.95% Karnataka Government Stock 2019 10.0
43 8.05% Jharkhand S. D. L. 2025 5.0
17 8.25% Karnataka Government Stock 2019 7.5
TOTAL [A] 188.0
18 8.05% Karnataka Government Stock 2019 20.0
Government of Jharkhand Power Bonds
19 8.52% Karnataka Government Stock 2020 12.5
1 8.50% Government of Jharkhand Powe Bond April 2015 (03912) β
20 8.42% Karnataka Government Stock 2020 10.0
2 8.50% Government of Jharkhand Power Bond October 2015 1.1
(03923) 21 8.43% Karnataka Government Stock 2020 10.0
3 8.50% Government of Jharkhand Power Bond April 2016 (03934) 1.1 22 9.19% Karnataka Government Stock 2021 15.0
23 8.69% Karnataka Government Stock 2022 12.5
TOTAL [B] 2.1
24 8.65% Karnataka Government Stock 2022 12.5
Compensation Bonds
25 8.69% Karnataka Government Stock 2022 15.0
1 2.50% Bihar Zamindari Abolition Compensation Bond * 0.3
26 8.74% Karnataka Government Stock 2022 5.0
TOTAL [C] 0.3
27 8.92% Karnataka Government Stock 2022 15.0
TOTAL [A+B+C] 190.4
28 8.90% Karnataka Government Stock 2022 10.0
Loans not Bearing Interest (Prior to reorganisation)
29 8.62% Karnataka Government Stock 2023 10.0
1 6.75% Bihar S. D. L. 1992 β
30 8.65% Karnataka Government Stock 2023 10.0
2 7.00% Bihar S. D. L. 1993 β
31 9.39% Karnataka Government Stock 2023 11.0
3 7.50% Bihar S. D. L. 1997 β
32 9.65% Karnataka Government Stock 2023 10.0
4 9.75% Bihar S. D. L. 1998 β
33 9.54% Karnataka Government Stock 2023 15.0
5 9.00% Bihar S. D. L. 1999 β
34 9.39% Karnataka Government Stock 2023 30.0
6 8.75% Bihar S. D. L. 2000 β
35 9.39% Karnataka Government Stock 2023 20.0
7 11.00% Bihar S. D. L. 2001 β
36 9.50% Karnataka Government Stock 2023 12.0
8 11.00% Bihar S. D. L. 2002 β
37 9.25% Karnataka S. D. L. 2024 20.0
9 13.50% Bihar S. D. L. 2003 β
38 9.41% Karnataka S. D. L. 2024 20.0
10 14.00% Bihar S. D. L .2005 β
39 9.55% Karnataka S. D. L. 2024 12.0
11 13.00% Bihar S. D. L. 2007 β
40 9.14% Karnataka S. D. L. 2024 15.0
12 11.50% Bihar S. D. L. 2009 β
41 9.01% Karnataka S. D. L. 2024 10.0
13 11.50% Bihar S. D. L. 2010 β
42 8.97% Karnataka S. D. L. 2024 20.0
14 11.50% Bihar S. D. L .2011 β
43 9.04% Karnataka S. D. L. 2024 20.0
15 12.00% Bihar S. D. L. 2011 β
44 8.73% Karnataka S. D. L. 2024 20.0
TOTAL [D] β 45 8.45% Karnataka S. D. L. 2024 25.0
TOTAL DEBT [A+B+C+D] 190.4 46 8.24% Karnataka S. D. L. 2024 25.0
Loans not Bearing Interest (Subsequent to reorganisation) 47 8.06% Karnataka S. D. L. 2025 10.0
1 7.02% Jharkhand S. D. L. 2015 β 48 8.06% Karnataka S. D. L. 2025 15.0
2 7.36% Jharkhand S. D. L. 2014 β 49 8.05% Karnataka S. D. L. 2025 15.0
TOTAL [E] β 50 8.08% Karnataka S. D. L. 2025 10.0
TOTAL DEBT [A+B+C+D+E] 190.4 TOTAL [A] 694.2
101State Finances : A Study of Budgets of 2015-16
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
Copensation Bond 28 8.50% Kerala Government Stock 2018(Loan Code No.08255) 3.9
1 3.00% Bombay Land Tenure Abolition Acts. (Mysore) β 29 8.50% Kerala Government Stock 2018(Loan CodeNo.08260) 5.0
Compensation Bonds. 30 8.50% Kerala Government Stock 2018 (Loan CodeNo. 08280 ) 8.0
2 2.75% Mysore Inams Abolition Compensation Bonds. β 31 9.86% Kerala Government Stock 2018 3.0
3 5.00% Urban Land Ceiling Karnataka Bonds 1976 β 32 6.10% Kerala Government Stock 2019 8.1
TOTAL [B] β 33 7.45% Kerala Government Stock 2019 8.0
TOTAL [A+B] 694.2 34 8.27% Kerala Government Stock 2019 2.7
Loans Not Bearing Interest 35 8.45% Kerala Government Stock 2019 5.0
1 8.25% Karnataka S. D. L. 1995 β 36 7.83% Kerala Government Stock 2019 6.0
2 7.50% Karnataka S. D. L. 1997 β 37 8.13% Kerala Government Stock 2019 13.5
3 9.75% Karnataka S. D. L. 1998 β 38 8.05% Kerala Government Stock 2019 6.8
4 9.00% Karnataka S. D. L. 1999 β 39 8.12% Kerala Government Stock 2019 8.5
5 11.00% Karnataka S. D. L. 2001 β 40 8.35% Kerala Government Stock 2019 5.0
6 11.00% Karnataka S. D. L. 2002 β 41 8.56% Kerala Government Stock 2020 14.8
7 14.00% Karnataka S. D. L. 2005 β 42 8.43% Kerala Government Stock 2020 10.0
8 13.05% Karnataka S. D. L. 2007 β 43 8.34% Kerala Government Stock 2020 15.0
9 11.50% Karnataka S. D. L. 2008 β 44 8.50% Kerala Government Stock 2021 10.0
10 12.50% Karnataka S. D. L. 2008 β 45 8.51% Kerala Government Stock 2021 10.0
11 11.50% Karnataka S. D. L. 2010 β 46 8.36% Kerala Government Stock 2021 10.0
12 11.57% Karnataka Government Stock 2010 β 47 8.60% Kerala Government Stock 2021 10.0
13 5.85% Karnataka Government Stock 2015(II SR) β 48 8.62% Kerala Government Stock 2021 10.0
14 7.02% Karnataka Government Stock 2015 β 49 8.85% Kerala Government Stock 2021 5.0
TOTAL [C] β 50 9.06% Kerala Government Stock 2021 5.0
TOTAL [A+B+C] 694.2 51 9.03% Kerala Government Stock 2021 8.0
KERALA 52 8.80% Kerala Government Stock 2021 12.0
Loans bearing Interest 53 8.70% Kerala Government Stock 2022 13.8
1 7.32% Kerala Government Stock 2015 2.5 54 8.69% Kerala Government Stock 2022 5.0
2 7.42% Kerala Government Stock 2015 1.5 55 8.75% Kerala Government Stock 2022 9.0
3 7.33% Kerala Government Stock 2015 3.6 56 8.97% Kerala Government Stock 2022 4.5
4 5.85% Kerala S. D. L. 2015 1.1 57 9.25% Kerala Government Stock 2022 6.5
5 6.20% Kerala S. D. L. 2015 1.9 58 9.14% Kerala Government Stock 2022 10.0
6 7.45% Kerala S. D. L. 2015 3.0 59 9.15% Kerala Government Stock 2022 10.0
7 7.77% Kerala S. D. L. 2015 4.2 60 8.85% Kerala Government Stock 2022 10.0
8 7.75% Kerala Government Stock 2016 3.3 61 8.92% Kerala Government Stock 2022 20.0
9 7.65% Kerala Government Stock 2016 3.0 62 8.80% Kerala Government Stock 2022 10.0
10 7.87% Kerala Government Stock 2016 4.0 63 8.93% Kerala Government Stock 2022 10.0
11 7.94% Kerala Government Stock 2016 4.0 64 8.93% Kerala Government Stock 2022 8.5
12 7.99% Kerala Government Stock 2016 1.5 65 8.65% Kerala Government Stock 2023 10.0
13 8.11% Kerala Government Stock 2016 3.0 66 8.60% Kerala Government Stock 2023 15.0
14 5.90% Kerala S. D. L. 2017 1.2 67 8.63% Kerala Government Stock 2023 12.3
15 7.17% Kerala S. D. L. 2017 3.3 68 8.25% Kerala Government Stock 2023 10.0
16 7.99% Kerala Government Stock 2017 3.1 69 8.10% Kerala Government Stock 2023 5.0
17 8.19% Kerala Government Stock 2017(Loan CodeNo.07209) 3.0 70 7.58% Kerala Government Stock 2023 5.0
18 8.19% Kerala Government Stock 2017(Loan CodeNo.07258) 4.4 71 7.77% Kerala Government Stock 2023 10.0
19 8.20% Kerala Government Stock 2017 5.9 72 7.98% Kerala Government Stock 2023 5.0
20 8.34% Kerala Government Stock 2017 3.5 73 9.49% Kerala Government Stock 2023 16.0
21 8.36% Kerala Government Stock 2017 3.5 74 9.72% Kerala Government Stock 2023 11.0
22 8.45% Kerala Government Stock 2017 3.0 75 9.25% Kerala S. D. L. 2023 7.5
23 8.69% Kerala Government Stock 2017 8.0 76 9.28% Kerala S. D. L. 2023 5.0
24 6.38% Kerala Government Stock 2018 8.0 77 9.32% Kerala S. D. L. 2023 5.0
25 7.77% Kerala Government Stock 2018 3.5 78 9.37% Kerala S. D. L. 2023 7.5
26 8.00% Kerala Government Stock 2018 6.4 79 9.35% Kerala S. D. L. 2023 5.0
27 8.12% Kerala Government Stock 2018 8.3 80 9.48% Kerala S. D. L. 2023 5.0
102Statements
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
81 9.41% Kerala S. D. L. 2024 10.0 8 7.95% Madhya Pradesh Government Stock 2016 3.0
82 9.48% Kerala S. D. L. 2024 5.0 9 8.66% Madhya Pradesh Government Stock 2016 3.0
83 9.75% Kerala S. D. L. 2024 10.0 10 5.90% Madhya Pradesh S. D. L. 2017 1.3
84 9.46% Kerala S. D. L. 2024 6.0 11 8.20% Madhya Pradesh Government Stock 2017 3.5
85 9.64% Kerala S. D. L. 2024 10.0 12 8.40% Madhya Pradesh Government Stock 2017 (07215) 4.7
86 9.37% Kerala S. D. L. 2024 10.0 13 8.49% Madhya Pradesh Government Stock 2017 6.3
87 9.19% Kerala S. D. L. 2024 12.0 14 8.40% Madhya Pradesh Government Stock 2017 (07248) 7.5
88 8.99% Kerala S. D. L. 2024 5.0 15 8.43% Madhya Pradesh Government Stock 2017 (07284) 5.0
89 9.00% Kerala S. D. L. 2024 5.0 16 8.30% Madhya Pradesh Government Stock 2018 6.3
90 8.97% Kerala S. D. L. 2024 10.0 17 6.00% Madhya Pradesh Government Stock 2019 9.0
91 9.03% Kerala S. D. L. 2024 7.0 18 7.00% Madhya Pradesh Government Stock 2019 8.9
92 9.07% Kerala S. D. L. 2024 10.0 19 7.77% Madhya Pradesh Government Stock 2019 10.8
93 8.86% Kerala S. D. L. 2024 10.0 20 8.40% Madhya Pradesh Government Stock 2019 10.1
94 8.72% Kerala S. D. L. 2024 5.0 21 8.31% Madhya Pradesh Government Stock 2019 15.6
95 8.44% Kerala S. D. L. 2024 10.0 22 8.32% Madhya Pradesh Government Stock 2019 15.6
96 8.24% Kerala S. D. L. 2024 3.0 23 8.32% Madhya Pradesh Government Stock 2020 15.5
97 8.14% Kerala S. D. L. 2025 15.0 24 8.54% Madhya Pradesh Government Stock 2020 11.5
98 8.06% Kerala S. D. L. 2025 10.0
25 8.44% Madhya Pradesh Government Stock 2020 12.0
99 8.09% Kerala S. D. L. 2025 10.0
26 8.39% Madhya Pradesh Government Stock 2021 10.0
TOTAL [A] 719.6
27 8.48% Madhya Pradesh Government Stock 2021 7.0
Power Bonds
28 8.36% Madhya Pradesh Government Stock 2021 10.0
1 8.50% Kerala Government Power Bonds April 2015 (03662) β
29 9.05% Madhya Pradesh Government Stock 2021 10.0
2 8.50% Kerala Government Power Bonds October 2015 (03677) 0.6
30 8.73% Madhya Pradesh Government Stock 2022 15.0
3 8.50% Kerala Government Power Bonds April 2016 (03692) 0.6
31 8.99% Madhya Pradesh Government Stock 2022 15.0
TOTAL [B] 1.2
32 8.92% Madhya Pradesh Government Stock 2022 10.0
TOTAL [A+B] 720.8
33 8.60% Madhya Pradesh Government Stock 2023 10.0
Compensation Bonds
34 8.64% Madhya Pradesh Government Stock 2023 10.0
1 4.25% Kerala House Sites Bonds β
35 8.63% Madhya Pradesh Government Stock 2023 15.0
2 4.50% Kerala House Sites Bonds β
36 9.53% Madhya Pradesh Government Stock 2023 10.0
3 4.50% Kerala Land Reforms Bonds β
37 9.68% Madhya Pradesh Government Stock 2023 5.0
4 4.00% Jenmikaram Payment (Abolition) Bonds. β
38 9.29% Madhya Pradesh Government Stock 2023 10.0
TOTAL [C] β
39 9.30% Madhya Pradesh Government Stock 2023 5.0
TOTAL [A+B+C] 720.8
40 9.29% Madhya Pradesh S. D. L. 2024 10.0
Loans Not Bearing Interest
41 9.40% Madhya Pradesh S. D. L. 2024 10.0
1 7.50% Kerala S. D. L. 1997 β
42 9.11% Madhya Pradesh S. D. L. 2024 10.0
2 13.50% Kerala S. D. L. 2003 β
43 8.98% Madhya Pradesh S. D. L. 2024 3.5
3 12.50% Kerala S. D. L. 2004 β
44 8.99% Madhya Pradesh S. D. L. 2024 12.0
4 14.00% Kerala S. D. L. 2005 β
45 8.95% Madhya Pradesh S. D. L. 2024 10.0
5 12.30% Kerala S. D. L. 2007 β
46 8.95% Madhya Pradesh S. D. L. 2024 10.5
6 11.50% Kerala S. D. L. 2008 β
47 8.84% Madhya Pradesh S. D. L. 2024 10.0
7 5.85% Kerala S. D. L. 2015(II SR) β
48 8.45% Madhya Pradesh S. D. L. 2024 7.5
8 7.02% Kerala S. D. L. 2015 β
49 8.24% Madhya Pradesh S. D. L. 2024 7.5
TOTAL [D] β
50 8.10% Madhya Pradesh S. D. L. 2025 10.0
TOTAL [A+B+C+D] 720.8
51 8.08% Madhya Pradesh S. D. L. 2025 10.0
MADHYA PRADESH*
52 8.09% Madhya Pradesh S. D. L. 2025 12.0
Loans Bearing Interest [subsequent to reorganisation]
TOTAL [A] 431.5
1 6.20% Madhya Pradesh S. D. L. 2015 2.3
Power Bonds
2 5.85% Madhya Pradesh S. D. L. 2015 2.2
3 7.39% Madhya Pradesh S. D. L. 2015 2.9 1 8.50% Madhya Pradesh Power Bonds April 2015 [03913] β
4 7.53% Madhya Pradesh S. D. L. 2015 0.5 2 8.50% Madhya Pradesh Power Bonds October 2015 [03924] 1.3
5 7.77% Madhya Pradesh S. D. L. 2015 4.2 3 8.50% Madhya Pradesh Power Bonds April 2016 [03935] 1.3
6 7.61% Madhya Pradesh S. D. L. 2016 3.0 TOTAL [B] 2.7
7 7.65% Madhya Pradesh Government Stock 2016 2.0 TOTAL [A+B] 434.2
103State Finances : A Study of Budgets of 2015-16
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
Copensation Bond 22 7.83% Maharashtra Government Stock 2019 40.0
1 5.00% Urban Land ceiling (M. P) Bonds β 23 8.30% Maharashtra Government Stock 2019 15.7
TOTAL [C] β 24 8.46% Maharashtra Government Stock 2019 39.0
TOTAL [A+B+C] 434.2 25 7.85% Maharashtra Government Stock 2019 30.0
Loans Not Bearing Interest (Prior to reorganisation) 26 7.99% Maharashtra Government Stock 2019 20.0
1 6.75% Madhya Pradesh S. D. L. 1992 β 27 8.14% Maharashtra Government Stock 2019 20.0
2 7.00% Madhya Pradesh S. D. L. 1993 β 28 8.30% Maharashtra Government Stock 2019 12.5
3 7.50% Madhya Pradesh S. D. L. 1997 β 29 8.27% Maharashtra Government Stock 2019 17.5
4 9.75% Madhya Pradesh S. D. L. 1998 β 30 8.30% Maharashtra Government Stock 2020 10.0
5 9.00% Madhya Pradesh S. D. L. 1999 β 31 8.34% Maharashtra Government Stock 2020 15.0
6 8.75% Madhya Pradesh S. D. L. 2000 β 32 8.48% Maharashtra Government Stock 2020 10.0
7 11.00% Madhya Pradesh S. D. L. 2001 β 33 8.53% Maharashtra Government Stock 2020 10.0
8 13.50% Madhya Pradesh S. D. L. 2003 β 34 8.38% Maharashtra Government Stock 2020 10.0
9 14.00% Madhya Pradesh S. D. L. 2005 β 35 8.09% Maharashtra Government Stock 2020 8.8
10 13.75% Madhya Pradesh S. D. L. 2007 β 36 8.15% Maharashtra Government Stock 2020 10.0
11 13.00% Madhya Pradesh S. D. L. 2007 β 37 8.39% Maharashtra Government Stock 2020 20.0
12 11.50% Madhya Pradesh S. D. L. 2008 β 38 8.42% Maharashtra Government Stock 2020 8.5
13 11.50% Madhya Pradesh S. D. L. 2009 β 39 8.53% Maharashtra Government Stock 2020 12.8
14 11.00% Madhya Pradesh S. D. L. 2010 β 40 8.54% Maharashtra Government Stock 2021 18.8
15 11.50% Madhya Pradesh S. D. L. 2011 β 41 8.50% Maharashtra Government Stock 2021 15.0
16 12.00% Madhya Pradesh S. D. L. 2011 β 42 8.51% Maharashtra Government Stock 2021 9.7
TOTAL [D] β 43 8.46% Maharashtra Government Stock 2021 11.5
TOTAL [A+B+C+D] 434.2 44 8.60% Maharashtra Government Stock 2021 20.0
Loans Not Bearing Interest (Subsequent to reorganisation) 45 8.56% Maharashtra Government Stock 2021 15.0
1 7.32% Madhya Pradesh S. D. L. 2014 β 46 8.60% Maharashtra Government Stock 2021 15.0
2 7.36% Madhya Pradesh S. D. L. 2014 β 47 8.66% Maharashtra Government Stock 2021 15.0
3 5.85% Madhya Pradesh S. D. L. 2015[II SERIES] β 48 8.89% Maharashtra Government Stock 2021 15.0
4 7.02% Madhya Pradesh S. D. L. 2015 β 49 9.09% Maharashtra Government Stock 2021 20.0
TOTAL [E] β 50 8.79% Maharashtra Government Stock 2021 20.0
GRAND TOTAL [A+B+C+D+E] 434.2 51 8.72% Maharashtra Government Stock 2022 20.0
MAHARASTRA 52 8.66% Maharashtra Government Stock 2022 20.0
Loans Bearing Interest 53 8.76% Maharashtra Government Stock 2022 25.0
1 5.85% Maharashtra S. D. L. 2015 5.7 54 8.95% Maharashtra Government Stock 2022 25.0
2 6.20% Maharashtra S. D. L. 2015 12.5 55 8.85% Maharashtra Government Stock 2022 18.0
3 7.39% Maharashtra Government Stock 2015 4.1 56 8.91% Maharashtra Government Stock 2022 12.0
4 7.77% Maharashtra S. D. L. 2015 6.0 57 8.90% Maharashtra Government Stock 2022 20.0
5 7.45% Maharashtra Government Stock 2015 2.9 58 8.85% Maharashtra Government Stock 2022 10.0
6 7.70% Maharashtra Government Stock 2016 2.9 59 8.84% Maharashtra Government Stock 2022 10.0
7 7.74% Maharashtra Government Stock 2016 5.0 60 8.90% Maharashtra Government Stock 2022 10.0
8 7.91% Maharashtra Government Stock 2016 5.0 61 8.90% Maharashtra Government Stock 2022 (12427) 15.6
9 5.90% Maharashtra S. D. L. 2017 8.8 62 8.63% Maharashtra Government Stock 2023 9.4
10 7.17% Maharashtra S. D. L. 2017 5.2 63 8.67% Maharashtra Government Stock 2023 15.0
11 7.20% Maharashtra S. D. L. 2017 3.9 64 8.62% Maharashtra Government Stock 2023 (13233) 18.8
12 8.30% Maharashtra Government Stock 2017 5.0 65 8.62% Maharashtra Government Stock 2023 (13243) 22.0
13 8.31% Maharashtra Government Stock 2017 7.2 66 8.54% Maharashtra Government Stock 2023 14.3
14 8.35% Maharashtra Government Stock 2017 7.4 67 7.95% Maharashtra Government Stock 2023 25.0
15 8.50% Maharashtra Government Stock 2017 16.0 68 9.60% Maharashtra Government Stock 2023 13.9
16 7.89% Maharashtra Government Stock 2018 13.5 69 9.56% Maharashtra Government Stock 2023 5.6
17 8.00% Maharashtra Government Stock 2018 23.5 70 9.51% Maharashtra Government Stock 2023 20.0
18 8.07% Maharashtra Government Stock 2018 20.0 71 9.79% Maharashtra Government Stock 2023 12.1
19 8.08% Maharashtra Government Stock 2018 20.0 72 9.25% Maharashtra Government Stock 2023 15.0
20 6.73% Maharashtra Government Stock 2019 32.9 73 9.33% Maharashtra Government Stock 2023 20.0
21 7.50% Maharashtra Government Stock 2019 30.0 74 9.36% Maharashtra Government Stock 2023 15.0
104Statements
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
75 9.39% Maharashtra Government Stock 2023 15.0 Loans not Bearing Interest
76 9.37% Maharashtra Government Stock 2023 15.0 1 7.50% Maharashtra S. D. L. 1997 β
77 9.50% Maharashtra Government Stock 2023 15.0 2 9.75% Maharashtra S. D. L. 1998 β
78 9.35% Maharashtra S. D. L. 2024 15.3 3 9.00% Maharashtra S. D. L. 1999 β
79 9.24% Maharashtra S. D. L. 2024 15.0 4 8.75% Maharashtra S. D. L. 2000 β
80 9.35% Maharashtra S. D. L. 2024 15.0 5 11.00% Maharashtra S. D. L. 2001 β
81 9.63% Maharashtra S. D. L. 2024 19.0 6 11.00% Maharashtra S. D. L. 2002 β
82 9.38% Maharashtra S. D. L. 2024 11.0 7 13.50% Maharashtra S. D. L. 2003 β
83 9.22% Maharashtra S. D. L. 2024 11.0 8 12.50% Maharashtra S. D. L. 2004 β
84 9.11% Maharashtra S. D. L. 2024 11.0 9 14.00% Maharashtra S. D. L. 2005 β
85 8.83% Maharashtra S. D. L. 2024 11.0 10 13.85% Maharashtra S. D. L. 2006 β
86 8.99% Maharashtra S. D. L. 2024 11.0 11 13.75% Maharashtra S. D. L. 2007 β
87 9.01% Maharashtra S. D. L. 2024 12.0
12 13.05% Maharashtra S. D. L. 2007 β
88 8.90% Maharashtra S. D. L. 2024 8.0
13 13.00% Maharashtra S. D. L. 2007 β
89 8.98% Maharashtra S. D. L. 2024 12.0
14 11.50% Maharashtra S. D. L. 2008 β
90 8.96% Maharashtra S. D. L. 2024 12.0
15 12.15% Maharashtra S. D. L. 2008 β
91 8.94% Maharashtra S. D. L. 2024 10.0
16 12.50% Maharashtra S. D. L. 2008 β
92 9.02% Maharashtra S. D. L. 2024 12.0
17 11.50% Maharashtra S. D. L. 2009 β
93 8.84% Maharashtra S. D. L. 2024 12.0
18 11.50% Maharashtra S. D. L. 2010 β
94 8.72% Maharashtra S. D. L. 2024 12.0
19 12.00% Maharashtra S. D. L. 2010 β
95 8.43% Maharashtra S. D. L. 2024 12.0
20 11.50% Maharashtra S. D. L. 2011 β
96 8.44% Maharashtra S. D. L. 2024 15.0
21 12.00% Maharashtra S. D. L. 2011 β
97 8.16% Maharashtra S. D. L. 2024 15.0
22 5.85% Maharashtra S. D. L. 2015(II SR) β
98 8.24% Maharashtra S. D. L. 2024 16.0
23 7.02% Maharashtra S. D. L. 2015 β
99 8.13% Maharashtra S. D. L. 2025 16.0
TOTAL [D] β
100 8.05% Maharashtra S. D. L. 2025 8.0
TOTAL [A+B+C+D] 1,475.0
101 8.06% Maharashtra S. D. L. 2025 12.0
MANIPUR
102 8.04% Maharashtra S. D. L. 2025 11.8
Loans bearing interest
TOTAL [A] 1,473.9
1 5.85% Manipur S. D. L. 2015 0.6
Power Bonds
2 6.20% Manipur S. D. L. 2015 0.1
1 8.50% Maharashtra Government Power Bonds April 2015 (03718) β
3 7.39% Manipur Government Stock 2015 0.3
2 8.50% Maharashtra Government Power Bonds October 2015 0.5
(03719) 4 7.45% Manipur Government Stock 2015 0.4
3 8.50% Maharashtra Government Power Bonds April 2016 (03720) 0.5 5 7.77% Manipur S. D. L. 2015 0.3
TOTAL [B] 1.0 6 7.61% Manipur S. D. L. 2016 0.3
TOTAL [A+B] 1,474.9 7 7.74% Manipur Government Stock 2016 0.9
Compensation Bonds 8 7.82% Manipur Government Stock 2016 0.4
1 5.00% Urban Land Ceiling (Maharashtra) Bonds β 9 7.98% Manipur Government Stock 2016 0.6
2 3.00% Bombay Land Tenure Abolition Acts (Bombay) Compensation β 10 5.90% Manipur S. D. L. 2017 0.5
Bonds
11 7.17% Manipur S. D. L. 2017 β
3 3.00% Bombay Land Tenure Abolition Acts (Maharashtra β
12 8.35% Manipur Government Stock 2017 0.9
Compensation Bonds
13 7.00% Manipur Government Stock 2018 2.0
4 3.00% Maharashtra Agricultural Lands (Ceiling of Holding) Act β
1961 (repayable in instalment) Compensation Bonds 14 8.02% Manipur Government Stock 2018 1.2
5 3.00% Maharashtra Agricultural Lands (Ceiling of Holding β 15 8.46% Manipur Government Stock 2018 0.4
Government Stock) Act 1961 Compensation Bonds 16 7.09% Manipur Government Stock 2019 1.0
(Redeemable on maturity)
17 8.18% Manipur Government Stock 2019 1.9
6 3.00% Hyderabad (Abolition of cash Grants) Act, 1952 β
18 8.49% Manipur Government Stock 2020 3.1
Compensation Bonds
19 8.55% Manipur Government Stock 2021 1.5
7 3.00% Maharashtra Revenue Patels (Abolition of Offi ce) Act 1962 β
20 8.47% Manipur Government Stock 2021 0.3
8 3.00% The Saranjams of Feduatory Jahagirdars of Kolhapur β
(Resumption) rules,1957 21 8.40% Manipur Government Stock 2021 0.8
9 4.00% Bombay City (Inami & Special Tenure) Abolition & β 22 8.65% Manipur Government Stock 2021 1.0
Maharashtra Land Revenue Code (Amendment) Act 1969 23 9.04% Manipur Government Stock 2021 0.5
TOTAL [C] β 24 8.80% Manipur Government Stock 2022 0.8
TOTAL [A+B+C] 1,475.0 25 8.85% Manipur Government Stock 2022 0.6
105State Finances : A Study of Budgets of 2015-16
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
26 8.95% Manipur Government Stock 2022 0.9 31 8.60% Meghalaya Government Stock 2022 0.5
27 8.92% Manipur Government Stock 2022 0.5 32 8.92% Meghalaya Government Stock 2022 0.5
28 9.75% Manipur Government Stock 2023 1.0 33 8.95% Meghalaya Government Stock 2022 0.5
29 9.50% Manipur Government Stock 2023 1.0 34 8.94% Meghalaya Government Stock 2022 (12399) 1.0
30 9.46% Manipur S. D.L. 2024 1.5 35 8.94% Meghalaya Government Stock 2022 (12410) 0.5
31 8.85% Manipur S. D.L. 2024 0.6 36 8.54% Meghalaya Government Stock 2023 0.6
32 8.91% Manipur S. D.L. 2024 2.0 37 8.58% Meghalaya Government Stock 2023 0.8
33 8.09% Manipur S. D.L. 2025 1.0 38 8.50% Meghalaya Government Stock 2023 1.0
34 8.06% Manipur S. D.L. 2025 1.0 39 9.75% Meghalaya Government Stock 2023 0.6
TOTAL [A] 29.7 40 9.35% Meghalaya Government Stock 2023 1.0
Power Bonds 41 9.47% Meghalaya S. D. L. 2024 0.8
1 8.50% Manipur Government Power Bonds April 2015 (03914) β 42 9.00% Meghalaya S. D. L. 2024 0.8
2 8.50% Manipur Government Power Bonds October 2015 (03925) 0.1 43 9.02% Meghalaya S. D. L. 2024 0.8
3 8.50% Manipur Government Power Bonds April 2016 (03936) 0.1 44 8.19% Meghalaya S. D. L. 2024 1.0
TOTAL [B] 0.2 45 8.14% Meghalaya S. D. L. 2025 1.0
TOTAL [A+B] 29.9 46 8.08% Meghalaya S. D. L. 2025 0.8
Loans not Bearing Interest 47 8.06% Meghalaya S. D. L. 2025 0.5
1 5.85% Manipur S. D. L. 2015 (II SR) β 48 8.09% Meghalaya S. D. L. 2025 0.6
2 7.02% Manipur S. D. L. 2015 β TOTAL [A] 30.0
TOTAL [C] β Power Bonds
TOTAL [A+B+C] 29.9 1 8.50% Meghalaya Government Power Bonds April 2015 (03663) β
MEGHALAYA 2 8.50% Meghalaya Government Power Bonds October 2015 (03678) β
Loans Bearing Interest 3 8.50% Meghalaya Government Power Bonds April 2016 (03693) β
1 5.85% Meghalaya S. D. L. 2015 0.5 TOTAL [B] β
2 6.20% Meghalaya S. D. L. 2015 0.1 TOTAL [A+B] 30.0
3 7.53% Meghalaya S. D. L. 2015 0.7 Loans not Bearing Interest
4 7.77% Meghalaya S. D. L. 2015 0.4 1 9.75% Meghalaya S. D. L. 1998 β
5 7.70% Meghalaya Government Stock 2016 0.5 2 5.85% Meghalaya S. D. L. 2015(II SR) β
6 7.94% Meghalaya Government Stock 2016 0.6 3 7.02% Meghalaya S. D. L. 2015 β
7 7.95% Meghalaya Government Stock 2016 0.4 TOTAL [C] β
8 8.65% Meghalaya Government Stock 2016 0.3 TOTAL [A+B+C] 30.0
9 5.90% Meghalaya S. D. L. 2017 0.4 MIZORAM
10 7.17% Meghalaya S. D. L. 2017 0.5 Loans Bearing Interest
11 8.39% Meghalaya Government Stock 2017 0.7 1 5.85% Mizoram S.D.L. 2015 0.2
12 8.42% Meghalaya Government Stock 2017 0.5 2 6.20% Mizoram S.D.L. 2015 0.1
13 8.48% Meghalaya Government Stock 2017 0.6 3 7.53% Mizoram S.D.L. 2015 0.3
14 8.02% Meghalaya Government Stock 2018 0.5 4 7.77% Mizoram S.D.L. 2015 0.2
15 8.25% Meghalaya Government Stock 2018 1.2 5 7.61% Mizoram S.D.L. 2016 0.2
16 8.46% Meghalaya S. D. L. 2018 0.4 6 7.71% Mizoram Government Stock 2016. 0.5
17 7.59% Meghalaya Government Stock 2019 1.0 7 7.82% Mizoram Government Stock 2016 0.2
18 7.80% Meghalaya Government Stock 2019 0.5 8 8.05% Mizoram Government Stock 2016. 0.2
19 8.16% Meghalaya Government Stock 2019 0.3 9 8.65% Mizoram Government Stock 2016. 0.2
20 8.47% Meghalaya Government Stock 2019 0.1 10 5.90% Mizoram S.D.L. 2017 0.3
21 8.24% Meghalaya Government Stock 2019 (LC 09335) 0.5 11 7.20% Mizoram S.D.L. 2017 0.5
22 8.24% Meghalaya Government Stock 2019 (LC 09356) 1.2 12 8.39% Mizoram Government Stock 2017 0.7
23 8.27% Meghalaya Government Stock 2020 0.5 13 8.30% Mizoram Government Stock 2017 0.5
24 8.39% Meghalaya Government Stock 2020 0.5 14 8.35% Mizoram Government Stock 2017 0.3
25 8.43% Meghalaya Government Stock 2020 1.0 15 8.42% Mizoram Government Stock 2017 0.3
26 8.37% Meghalaya Government Stock 2020 0.4 16 8.25% Mizoram Government Stock 2018 0.4
27 8.65% Meghalaya Government Stock 2021 1.0 17 9.44% Mizoram Government Stock 2018 0.3
28 9.04% Meghalaya Government Stock 2021 0.6 18 8.15% Mizoram Government Stock 2019 1.0
29 9.22% Meghalaya Government Stock 2021 0.5 19 8.24% Mizoram Government Stock 2019 1.0
30 8.58% Meghalaya Government Stock 2022 0.5 20 8.41% Mizoram Government Stock 2020 0.5
106Statements
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
21 8.52% Mizoram Government Stock 2020 1.0 20 8.40% Nagaland Government Stock 2019 1.8
22 8.55% Mizoram Government Stock 2021 0.4 21 8.47% Nagaland Government Stock 2019 0.2
23 8.47% Mizoram Government Stock 2021 0.5 22 8.10% Nagaland Government Stock 2019 0.9
24 8.40% Mizoram Government Stock 2021 0.8 23 8.26% Nagaland Government Stock 2019 1.0
25 8.45% Mizoram Government Stock 2021 1.5 24 8.39% Nagaland Government Stock 2020 1.0
26 8.61% Mizoram Government Stock 2021 1.0 25 8.49% Nagaland Government Stock 2020 0.3
27 8.93% Mizoram Government Stock 2022 0.5 26 8.07% Nagaland Government Stock 2020 1.0
28 9.16% Mizoram Government Stock 2022 0.7 27 8.50% Nagaland Government Stock 2020 1.0
29 8.95% Mizoram Government Stock 2022 0.5 28 8.39% Nagaland Government Stock 2021 0.6
30 8.55% Mizoram Government Stock 2023 0.7 29 8.41% Nagaland Government Stock 2021 1.0
31 8.50% Mizoram Government Stock 2023 0.8 30 8.60% Nagaland Government Stock 2021 1.0
32 7.76% Mizoram Government Stock 2023 0.5 31 8.90% Nagaland Government Stock 2021 1.5
33 7.93% Mizoram Government Stock 2023 0.2 32 9.04% Nagaland Government Stock 2022 2.5
34 9.52% Mizoram Government Stock 2023 0.6 33 9.32% Nagaland Government Stock 2022 0.1
35 9.72% Mizoram S. D. L. 2024 0.5 34 8.97% Nagaland Government Stock 2022 2.5
36 9.41% Mizoram S. D. L. 2024 0.2 35 8.98% Nagaland Government Stock 2022 2.0
37 9.25% Mizoram S. D. L. 2024 0.2 36 8.62% Nagaland Government Stock 2023 2.0
38 8.85% Mizoram S. D. L. 2024 0.2 37 8.55% Nagaland Government Stock 2023 0.1
39 8.89% Mizoram S. D. L. 2024 0.5 38 8.50% Nagaland Government Stock 2023 1.2
40 8.46% Mizoram S. D. L. 2024 0.2 39 7.57% Nagaland Government Stock 2023 0.8
41 8.27% Mizoram S. D. L. 2024 1.0 40 9.75% Nagaland Government Stock 2023 0.6
TOTAL [A] 20.1 41 9.40% Nagaland Government Stock 2023 1.3
8.50% Government of Mizoram Power Bonds 42 9.80% Nagaland S. D. L. 2024 1.0
1 8.50% Government of Mizoram Power Bonds April 2015 (03915) β 43 9.69% Nagaland S. D. L. 2024 0.2
2 8.50% Government of Mizoram Power Bonds October 2015 (03926) β 44 9.49% Nagaland S. D. L. 2024 0.3
3 8.50% Government of Mizoram Power Bonds April 2016 (03937) β 45 9.65% Nagaland S. D. L. 2024 1.4
TOTAL [B] β 46 9.10% Nagaland S. D. L. 2024 0.7
TOTAL [A+B] 20.2 47 8.46% Nagaland S. D. L. 2024 1.5
Loans not Bearing Interest 48 8.06% Nagaland S. D. L. 2025 1.0
1 5.85% Mizoram S.D.L. 2015 (II SR) β 49 8.07% Nagaland S. D. L. 2025 1.5
TOTAL [C] β TOTAL [A] 47.5
TOTAL [A+B+C] 20.2 Power Bonds
NAGALAND 1 8.50% Nagaland Government Power Bonds April 2015 (03664) β
Loans bearing interest 2 8.50% Nagaland Government Power Bonds October 2015 (03679) β
1 5.85% Nagaland S. D. L. 2015 0.8 3 8.50% Nagaland Government Power Bonds April 2016 (03694) β
2 6.20% Nagaland S. D. L. 2015 0.1 TOTAL [B] 0.1
3 7.53% Nagaland S. D. L. 2015 1.3 TOTAL [A+B] 47.5
4 7.77% Nagaland S. D. L. 2015 0.6 Loans not Bearing Interest
5 7.61% Nagaland S. D. L. 2016 0.2 1 5.85% Nagaland S. D. L. 2015(II SR) β
6 7.69% Nagaland Government Stock 2016 0.5 2 7.02% Nagaland S. D. L. 2015 β
7 7.81% Nagaland Government Stock 2016 0.4 TOTAL [C] β
8 7.82% Nagaland Government Stock 2016 0.4 TOTAL [A+B+C] 47.5
9 7.95% Nagaland Government Stock 2016 1.2 ODISHA
10 5.90% Nagaland S. D. L. 2017 0.4 Loans Bearing Interest
11 7.17% Nagaland S. D. L. 2017 β 1 5.85% Orissa S. D. L. 2015 1.8
12 8.04% Nagaland Government Stock 2017 0.7 2 6.20% Orissa S. D. L. 2015 2.2
13 8.30% Nagaland Government Stock 2017 1.4 3 7.77% Orissa S. D. L. 2015 5.1
14 8.39% Nagaland Government Stock 2017 0.9 4 5.90% Orissa S. D. L. 2017 4.6
15 8.42% Nagaland Government Stock 2017 0.8 5 7.17% Orissa S. D. L. 2017 1.9
16 8.02% Nagaland Government Stock 2018 0.8 6 8.00% Orissa S. D. L. 2019 10.0
17 8.58% Nagaland Government Stock 2018 1.6 7 8.08% Orissa S. D. L. 2020 10.0
18 7.40% Nagaland Government Stock 2019 1.0 8 8.03% Orissa S. D. L. 2025 10.0
19 7.58% Nagaland Government Stock 2019 2.6 TOTAL [A] 45.6
107State Finances : A Study of Budgets of 2015-16
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
Government of Orissa Power Bonds 31 8.08% Punjab Government Stock 2019 2.0
1 8.50% Government of Orissa Power Bonds April 2015(03916) β 32 8.05% Punjab Government Stock 2019 2.0
2 8.50% Government of Orissa Power Bonds October 2015(03927) 0.6 33 8.03% Punjab Government Stock 2019 3.2
3 8.50% Government of Orissa Power Bonds April 2016(03938) 0.6 34 8.37% Punjab Government Stock 2019 4.7
TOTAL [B] 1.1 35 8.85% Punjab S. D. L. 2019 5.0
TOTAL [A+B] 46.8 36 8.93% Punjab S. D. L. 2019 3.0
Loans not Bearing Interest 37 9.11% Punjab S. D. L. 2019 3.0
1 7.00% Orissa Government Loan 1993 β 38 9.08% Punjab S. D. L. 2019 5.0
2 8.25% Orissa GovernmentLoan 1995 β 39 9.06% Punjab S. D. L. 2019 4.0
3 7.50% Orissa Government Loan 1997 β 40 8.99% Punjab S. D. L. 2019 2.0
4 9.00% Orissa Government Loan 1999 β 41 8.83% Punjab S. D. L. 2019 10.0
5 11.00% Orissa Government Loan 2001 β 42 8.67% Punjab S. D. L. 2019 2.0
6 11.00% Orissa Government Loan 2002 β 43 8.44% Punjab S. D. L. 2019 2.0
7 14.00% Orissa Government Loan 2005 β 44 8.45% Punjab S. D. L. 2019 3.0
8 13.85% Orissa GovernmentLoan 2006 β 45 8.23% Punjab Government Stock 2020 2.0
9 13.05% Orissa Government Loan 2007 β 46 8.56% Punjab Government Stock 2020 8.0
10 11.50% Orissa Government Loan 2008 β 47 8.32% Punjab Government Stock 2020 5.0
11 12.00% Orissa Government Loan 2011 β 48 8.40% Punjab Government Stock 2020 8.0
12 5.85% Orissa S. D. L. 2015(II SR) β 49 8.37% Punjab Government Stock 2020 (10302) 2.0
TOTAL [C] β 50 8.34% Punjab Government Stock 2020 5.0
TOTAL [A+B+C] 46.8 51 8.50% Punjab Government Stock 2020 4.5
PUNJAB 52 8.44% Punjab Government Stock 2020 (10326) 4.5
Loans Bearing Interest 53 8.44% Punjab Government Stock 2020 (10335) 1.5
1 6.20% Punjab S. D. L. 2015 4.0 54 8.37% Punjab Government Stock 2020 (10340) 1.5
2 7.67% Punjab Government Stock 2016 6.2 55 8.39% Punjab Government Stock 2021 4.0
3 7.74% Punjab Government Stock 2016 2.4 56 8.50% Punjab Government Stock 2021 1.5
4 7.79% Punjab Government Stock 2016 5.8 57 8.52% Punjab Government Stock 2021 3.8
5 7.93% Punjab Government Stock 2016 4.4 58 8.36% Punjab Government Stock 2021 10.0
6 5.90% Punjab S. D. L. 2017 2.6 59 8.47% Punjab Government Stock 2021 6.0
7 7.17% Punjab S. D. L. 2017 2.2 60 8.64% Punjab Government Stock 2021 4.0
8 8.22% Punjab Government Stock 2017 10.0 61 8.54% Punjab Government Stock 2021 6.5
9 8.32% Punjab Government Stock 2017 3.0 62 8.56% Punjab Government Stock 2021 5.0
10 8.35% Punjab Government Stock 2017 5.0 63 8.51% Punjab Government Stock 2021 5.0
11 8.41% Punjab Government Stock 2017 9.0 64 8.59% Punjab Government Stock 2021 2.5
12 7.86% Punjab Government Stock 2018 4.6 65 8.60% Punjab Government Stock 2021 2.5
13 7.96% Punjab Government Stock 2018 5.0 66 8.62% Punjab Government Stock 2021 3.0
14 8.28% Punjab Government Stock 2018 7.7 67 8.66% Punjab Government Stock 2021 3.0
15 8.83% Punjab Government Stock 2018 5.0 68 8.98% Punjab Government Stock 2021 3.0
16 9.30% Punjab Government Stock 2018 10.0 69 9.18% Punjab Government Stock 2021 2.5
17 9.81% Punjab Government Stock 2018 5.0 70 9.21% Punjab Government Stock 2021 2.5
18 8.07% Punjab Government Stock 2018 5.0 71 8.74% Punjab Government Stock 2021 3.5
19 7.02% Punjab Government Stock 2018 7.0 72 8.57% Punjab Government Stock 2022 3.5
20 6.10% Punjab Government Stock 2019 6.7 73 8.67% Punjab Government Stock 2022 2.5
21 7.24% Punjab Government Stock 2019 3.5 74 8.68% Punjab Government Stock 2022 2.5
22 7.68% Punjab Government Stock 2019 7.0 75 8.79% Punjab Government Stock 2022 4.3
23 8.13% Punjab Government Stock 2019 1.4 76 8.96% Punjab Government Stock 2022 5.7
24 7.77% Punjab Government Stock 2019 (09276) 6.0 77 8.94% Punjab Government Stock 2022 2.0
25 7.04% Punjab Government Stock 2019 5.0 78 9.24% Punjab Government Stock 2022 2.5
26 7.82% Punjab Government Stock 2019 5.0 79 9.17% Punjab Government Stock 2022 7.0
27 7.77% Punjab Government Stock 2019 (09310) 5.0 80 9.14% Punjab Government Stock 2022 4.0
28 8.20% Punjab Government Stock 2019 (09321) 5.0 81 9.13% Punjab Government Stock 2022 (12286) 4.0
29 8.20% Punjab Government Stock 2019 (09336) 7.0 82 9.13% Punjab Government Stock 2022 (12292) 3.0
30 8.20% Punjab Government Stock 2019 (09345) 3.0 83 8.87% Punjab Government Stock 2022 7.0
108Statements
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
84 8.91% Punjab Government Stock 2022 (12364) 5.0 RAJASTHAN
85 8.92% Punjab Government Stock 2022 (12336) 10.0 Loans bearing interest
86 8.92% Punjab Government Stock 2022 (12347) 4.0 1 5.85% Rajasthan S. D. L. 2015 5.7
87 8.93% Punjab Government Stock 2022 8.0 2 6.20% Rajasthan S. D. L. 2015 3.8
88 8.91% Punjab Government Stock 2022 (12312) 10.0 3 7.77% Rajasthan S. D. L. 2015 5.4
89 8.86% Punjab Government Stock 2022 (12376) 10.0 4 7.65% Rajasthan Government Stock 2016 5.0
90 8.86% Punjab Government Stock 2022 (12400) 5.0 5 7.74% Rajasthan Government Stock 2016 2.7
91 8.90% Punjab Government Stock 2022 5.0 6 7.81% Rajasthan Government Stock 2016 3.0
92 8.64% Punjab Government Stock 2023 5.0 7 8.62% Rajasthan Government Stock 2016 2.3
93 8.71% Punjab Government Stock 2023 5.0 8 8.11% Rajasthan Government Stock 2016 5.0
94 8.51% Punjab Government Stock 2023 3.0 9 5.90% Rajasthan S. D. L. 2017 2.3
95 8.54% Punjab Government Stock 2023 2.0 10 8.25% Rajasthan Government Stock 2017 2.0
96 8.51% Punjab Government Stock 2023 15.0 11 8.30% Rajasthan Government Stock 2017 7.5
97 8.11% Punjab Government Stock 2023 5.0 12 8.32% Rajasthan Government Stock 2017 9.5
98 7.58% Punjab Government Stock 2023 2.0 13 8.45% Rajasthan Government Stock 2017 2.2
99 7.63% Punjab Government Stock 2023 7.0 14 8.46% Rajasthan Government Stock 2017 5.0
100 7.98% Punjab Government Stock 2023 7.0 15 7.84% Rajasthan Government Stock 2018 5.5
101 9.05% Punjab Government Stock 2023 5.0 16 7.93% Rajasthan Government Stock 2018 2.2
102 9.87% Punjab Government Stock 2023 5.0 17 8.06% Rajasthan Government Stock 2018 6.0
103 9.72% Punjab Government Stock 2023 5.0 18 8.40% Rajasthan Government Stock 2018 2.0
104 9.70% Punjab Government Stock 2023 5.0 19 8.88% Rajasthan Government Stock 2018 5.0
105 9.29% Punjab Government Stock 2023 6.0 20 8.26% Rajasthan Government Stock 2018 5.0
106 9.34% Punjab Government Stock 2023 6.0 21 7.80% Rajasthan Government Stock 2018 10.0
107 9.35% Punjab Government Stock 2023 2.5 22 6.41% Rajasthan Government Stock 2018 11.6
108 9.48% Punjab Government Stock 2023 2.5 23 7.29% Rajasthan Government Stock 2019 10.0
109 9.23% Punjab S. D. L. 2024 6.0 24 7.77% Rajasthan Government Stock 2019 (09235) 12.5
110 9.69% Punjab S. D. L. 2024 6.0 25 8.46% Rajasthan Government Stock 2019 5.9
111 9.45% Punjab S. D. L. 2024 5.0 26 8.28% Rajasthan Government Stock 2019 3.5
112 9.63% Punjab S. D. L. 2024 12.0 27 7.44% Rajasthan Government Stock 2019 5.0
113 9.21% Punjab S. D. L. 2024 8.0 28 7.83% Rajasthan Government Stock 2019 5.0
114 8.84% Punjab S. D. L. 2024 8.0 29 7.77% Rajasthan Government Stock 2019 (09311) 5.0
115 8.16% Punjab S. D. L. 2024 3.0 30 7.95% Rajasthan Government Stock 2019 5.0
116 8.12% Punjab S. D. L. 2025 6.0 31 8.20% Rajasthan Government Stock 2019 5.0
117 8.05% Punjab S. D. L. 2025 4.0 32 8.25% Rajasthan Government Stock 2019 5.0
118 8.08% Punjab S. D. L. 2025 7.5 33 8.16% Rajasthan Government Stock 2019 5.0
119 8.06% Punjab S. D. L. 2025 2.0 34 8.21% Rajasthan Government Stock 2019 5.0
TOTAL [A] 580.0 35 8.10% Rajasthan Government Stock 2019 5.0
Power Bonds 36 8.11% Rajasthan Government Stock 2019 5.0
1 8.50% Punjab Government Power Bonds April 2015 [03665] β 37 8.06% Rajasthan Government Stock 2019 5.0
2 8.50% Punjab Government Power Bonds October 2015 [03680] 0.3 38 8.26% Rajasthan Government Stock 2019 5.0
3 8.50% Punjab Government Power Bonds April 2016 [03695] 0.3 39 8.35% Rajasthan Government Stock 2019 5.0
TOTAL [B] 0.6 40 8.30% Rajasthan Government Stock 2020 5.0
TOTAL [A+B] 580.7 41 8.25% Rajasthan Government Stock 2020 5.0
Loans not Bearing Interest 42 8.05% Rajasthan Government Stock 2020 5.0
1 9.00% Punjab S. D. L. 1999 β 43 8.11% Rajasthan Government Stock 2020 5.0
2 8.75% Punjab S. D. L. 2000 β 44 8.09% Rajasthan Government Stock 2020 5.0
3 13.50% Punjab S. D. L. 2003 β 45 8.15% Rajasthan Government Stock 2020 5.0
4 12.50% Punjab S. D. L. 2004 β 46 8.12% Rajasthan Government Stock 2020 5.0
5 14.00% Punjab S. D. L. 2005 β 47 8.44% Rajasthan Government Stock 2020 5.0
6 5.85% Punjab S. D. L. 2015 [II series] β 48 8.35% Rajasthan Government Stock 2020 5.0
7 7.02% Punjab S. D. L. 2015 β 49 8.51% Rajasthan Government Stock 2020 5.0
TOTAL [C] β 50 8.39% Rajasthan Government Stock 2020 5.0
TOTAL [A+B+C] 580.7 51 8.50% Rajasthan Government Stock 2021 8.0
109State Finances : A Study of Budgets of 2015-16
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
52 8.52% Rajasthan Government Stock 2021 8.8 105 8.84% Rajasthan S. D. L. 2024 5.0
53 8.65% Rajasthan Government Stock 2021 5.0 106 8.71% Rajasthan S. D. L. 2024 5.0
54 8.85% Rajasthan Government Stock 2021 5.0 107 8.42% Rajasthan S. D. L. 2024 5.0
55 9.06% Rajasthan Government Stock 2021 5.0 108 8.43% Rajasthan S. D. L. 2024 5.0
56 9.20% Rajasthan Government Stock 2021 5.0 109 8.16% Rajasthan S. D. L. 2024 5.0
57 9.23% Rajasthan Government Stock 2021 3.8 110 8.24% Rajasthan S. D. L. 2024 5.0
58 9.02% Rajasthan Government Stock 2021 5.0 111 8.12% Rajasthan S. D. L. 2025 5.0
59 8.88% Rajasthan Government Stock 2021 5.0 112 8.05% Rajasthan S. D. L. 2025 10.0
60 8.74% Rajasthan Government Stock 2022 6.2 113 8.06% Rajasthan S. D. L. 2025 7.5
61 9.24% Rajasthan Government Stock 2022 5.0 114 8.05% Rajasthan S. D. L. 2025 7.5
62 9.12% Rajasthan Government Stock 2022 5.0 115 8.02% Rajasthan S. D. L. 2025 3.0
63 8.87% Rajasthan Government Stock 2022 5.0 TOTAL [A] 613.9
64 8.89% Rajasthan Government Stock 2022 5.0 8.50% Special Power Bonds
65 8.84% Rajasthan Government Stock 2022 5.0 1 Government of Rajasthan Power Bonds April 2015(03666) β
66 8.92% Rajasthan Government Stock 2022 (12337) 5.0 2 Government of Rajasthan Power Bonds October 2015(03681) 0.2
67 8.92% Rajasthan Government Stock 2022 (12348) 5.0 3 Government of Rajasthan Power Bonds April 2016(03696) 0.2
68 8.91% Rajasthan Government Stock 2022 5.0 TOTAL [B] 0.4
69 8.90% Rajasthan Government Stock 2022 5.0 TOTAL [A+B] 614.2
70 8.85% Rajasthan Government Stock 2022 5.0 Special Bonds
71 8.84% Rajasthan Government Stock 2022 5.0 1 9.99% Rajasthan Special Bond 2028 3.4
72 8.92% Rajasthan Government Stock 2022 10.0 2 10.03% Rajasthan Special Bond 2028 30.0
73 8.90% Rajasthan Government Stock 2022 5.0 3 9.16% Rajasthan Special Bond 2028 10.0
74 8.56% Rajasthan Government Stock 2023 10.0 4 8.45% Rajasthan Special Bond 2028 8.1
75 8.52% Rajasthan Government Stock 2023 5.4 TOTAL [C] 51.5
76 8.09% Rajasthan Government Stock 2023 5.0 TOTAL [A+B+C] 665.7
77 7.58% Rajasthan Government Stock 2023 5.0 Loans not Bearing Interest
78 7.63% Rajasthan Government Stock 2023 5.0 1 7.50% Rajasthan S. D. L. 1997 β
79 7.74% Rajasthan Government Stock 2023 5.0 2 9.75% Rajasthan S. D. L. 1998 β
80 7.94% Rajasthan Government Stock 2023 5.0 3 9.00% Rajasthan S. D. L. 1999 β
81 9.05% Rajasthan Government Stock 2023 5.0 4 8.75% Rajasthan S. D. L. 2000 β
82 9.82% Rajasthan Government Stock 2023 5.0 5 11.00% Rajasthan S. D. L. 2001 β
83 9.70% Rajasthan Government Stock 2023 5.0 6 11.00% Rajasthan S. D. L. 2002 β
84 9.52% Rajasthan Government Stock 2023 5.0 7 13.50% Rajasthan S. D. L. 2003 β
85 9.70% Rajasthan Government Stock 2023 5.0 8 12.50% Rajasthan S. D. L. 2004 β
86 9.25% Rajasthan Government Stock 2023 5.0 9 14.00% Rajasthan S. D. L. 2005 β
87 9.25% Rajasthan Government Stock 2023 5.0 10 13.85% Rajasthan S. D. L. 2006 β
88 9.33% Rajasthan Government Stock 2023 5.0 11 13.05% Rajasthan S. D. L. 2007 β
89 9.40% Rajasthan Government Stock 2023 5.0 12 13.00% Rajasthan S. D. L. 2007 β
90 9.33% Rajasthan Government Stock 2023 5.0 13 12.25% Rajasthan S. D. L. 2009 β
91 9.50% Rajasthan Government Stock 2023 5.0 14 11.50% Rajasthan S. D. L. 2009 β
92 9.45% Rajasthan S. D. L. 2024 8.0 15 5.85% Rajasthan S. D. L. 2015(II SR) β
93 9.63% Rajasthan S. D. L. 2024 5.0 16 7.02% Rajasthan S. D. L. 2015 β
94 9.38% Rajasthan S. D. L. 2024 5.0 TOTAL [D] β
95 9.21% Rajasthan S. D. L. 2024 5.0 TOTAL [A+B+C+D] 665.7
96 9.11% Rajasthan S. D. L. 2024 5.0 SIKKIM
97 8.79% Rajasthan S. D. L. 2024 5.0 Loans Bearing Interest
98 8.97% Rajasthan S. D. L. 2024 5.0 1 6.20% Sikkim S. D. L. 2015 0.1
99 8.96% Rajasthan S. D. L. 2024 5.0 2 5.85% Sikkim S. D. L. 2015 0.1
100 8.94% Rajasthan S. D. L. 2024 5.0 3 7.53% Sikkim S. D. L. 2015 0.1
101 9.03% Rajasthan S. D. L. 2024 5.0 4 7.77% Sikkim S. D. L. 2015 0.2
102 8.94% Rajasthan S. D. L. 2024 5.0 5 7.61% Sikkim S. D. L. 2016 0.1
103 8.99% Rajasthan S. D. L. 2024 5.0 6 7.70% Sikkim Government Stock 2016 0.7
104 8.90% Rajasthan S. D. L. 2024 5.0 7 7.82% Sikkim Government Stock 2016 0.5
110Statements
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
8 8.65% Sikkim Government Stock 2016 0.6 26 7.26% Tamil Nadu Government Stock 2019 12.0
9 5.90% Sikkim S. D. L. 2017 0.3 27 7.45% Tamil Nadu Government Stock 2019 10.0
10 7.17% Sikkim S. D. L. 2017 0.3 28 7.65% Tamil Nadu Government Stock 2019 12.0
11 8.20% Sikkim Government Stock 2017 1.1 29 8.48% Tamil Nadu Government Stock 2019 12.2
12 7.00% Sikkim Government Stock 2018 2.9 30 8.24% Tamil Nadu Government Stock 2019 4.8
13 8.02% Sikkim Government Stock 2018 1.4 31 8.28% Tamil Nadu Government Stock 2019 15.0
14 8.44% Sikkim Government Stock 2020 1.9 32 8.13% Tamil Nadu Government Stock 2019 15.0
15 8.35% Sikkim Government Stock 2020 1.4 33 8.22% Tamil Nadu Government Stock 2019 12.0
16 8.78% Sikkim Government Stock 2021 0.4 34 8.11% Tamil Nadu Government Stock 2019 10.0
17 8.92% Sikkim Government Stock 2022 0.4 35 8.12% Tamil Nadu Government Stock 2019 10.0
18 8.81% Sikkim Government Stock 2022 0.4 36 8.05% Tamil Nadu Government Stock 2019 10.0
19 8.54% Sikkim Government Stock 2023 0.2 37 8.26% Tamil Nadu Government Stock 2019 10.0
20 9.75% Sikkim Government Stock 2023 0.5 38 8.36% Tamil Nadu Government Stock 2019 10.0
21 9.30% Sikkim Government Stock 2023 0.5 39 8.32% Tamil Nadu Government Stock 2020 10.0
22 9.35% Sikkim Government Stock 2023 0.9 40 8.25% Tamil Nadu Government Stock 2020 10.0
23 9.69% Sikkim S. D. L. 2024 0.4 41 8.52% Tamil Nadu Government Stock 2020 14.0
24 8.95% Sikkim S. D. L. 2024 1.3 42 8.09% Tamil Nadu Government Stock 2020 9.4
25 8.06% Sikkim S. D. L. 2025 1.0 43 8.16% Tamil Nadu Government Stock 2020 9.4
26 8.05% Sikkim S. D. L. 2025 1.0 44 8.15% Tamil Nadu Government Stock 2020 9.3
TOTAL [A] 18.4 45 8.32% Tamil Nadu Government Stock 2020 9.4
Power Bonds 46 8.42% Tamil Nadu Government Stock 2020 9.4
1 8.50% Government Sikkim Power Bonds April 2015 [03917] β 47 8.39% Tamil Nadu Government Stock 2020 (10296) 12.5
2 8.50% Government Sikkim Power Bonds October 2015 [03928] β 48 8.53% Tamil Nadu Government Stock 2020 18.8
3 8.50% Government Sikkim Power Bonds April 2016 [03939] β 49 8.39% Tamil Nadu Government Stock 2020 (10332) 6.3
TOTAL [B] β 50 8.44% Tamil Nadu Government Stock 2020 6.3
TOTAL [A+B] 18.4 51 8.24% Tamil Nadu S. D. L. 2020 12.0
TAMIL NADU 52 8.39% Tamil Nadu Government Stock 2021 6.3
Loans bearing interest 53 8.50% Tamil Nadu Government Stock 2021 3.0
1 6.20% Tamil Nadu S. D. L. 2015 3.8 54 8.68% Tamil Nadu Government Stock 2021 10.0
2 5.85% Tamil Nadu S. D. L. 2015 1.5 55 8.59% Tamil Nadu Government Stock 2021 10.0
3 7.35% Tamil Nadu S. D. L. 2015 2.1 56 8.56% Tamil Nadu Government Stock 2021 5.0
4 7.77% Tamil Nadu S. D. L. 2015 2.0 57 8.64% Tamil Nadu Government Stock 2021 7.5
5 7.68% Tamil Nadu Government Stock 2016 6.0 58 8.60% Tamil Nadu Government Stock 2021 7.5
6 7.79% Tamil Nadu Government Stock 2016 6.1 59 8.85% Tamil Nadu Government Stock 2021 5.1
7 7.93% Tamil Nadu Government Stock 2016 4.0 60 9.09% Tamil Nadu Government Stock 2021 7.5
8 5.90% Tamil Nadu S. D. L. 2017 4.4 61 9.19% Tamil Nadu Government Stock 2021 12.5
9 7.96% Tamil Nadu Government Stock 2017 5.0 62 9.22% Tamil Nadu Government Stock 2021 4.9
10 8.14% Tamil Nadu Government Stock 2017 5.0 63 8.72% Tamil Nadu Government Stock 2022 20.0
11 8.19% Tamil Nadu Government Stock 2017 5.0 64 8.66% Tamil Nadu Government Stock 2022 12.0
12 8.30% Tamil Nadu Government Stock 2017 3.0 65 8.71% Tamil Nadu Government Stock 2022 15.0
13 8.32% Tamil Nadu Government Stock 2017 4.1 66 8.75% Tamil Nadu Government Stock 2022 15.0
14 8.39% Tamil Nadu Government Stock 2017(07271) 5.0 67 8.92% Tamil Nadu Government Stock 2022 13.0
15 8.39% Tamil Nadu Government Stock 2017 (07289) 5.0 68 9.10% Tamil Nadu Government Stock 2022 6.2
16 8.47% Tamil Nadu Government Stock 2017 6.0 69 8.89% Tamil Nadu Government Stock 2022 8.5
17 7.85% Tamil Nadu Government Stock 2018 7.5 70 8.84% Tamil Nadu Government Stock 2022 15.0
18 7.96% Tamil Nadu Government Stock 2018 10.0 71 8.92% Tamil Nadu Government Stock 2022 15.0
19 8.12% Tamil Nadu Government Stock 2018 7.9 72 8.92% Tamil Nadu Government Stock 2022 12.5
20 8.23% Tamil Nadu Government Stock 2018 7.5 73 8.90% Tamil Nadu Government Stock 2022 18.8
21 6.95% Tamil Nadu Government Stock 2018 7.5 74 8.86% Tamil Nadu Government Stock 2022 15.0
22 6.40% Tamil Nadu Government Stock 2018 10.0 75 8.85% Tamil Nadu Government Stock 2022 15.0
23 9.20% Tamil Nadu Government Stock 2018 12.5 76 8.80% Tamil Nadu Government Stock 2022 12.5
24 6.65% Tamil Nadu Government Stock 2019 10.0 77 8.86% Tamil Nadu Government Stock 2022 10.0
25 7.00% Tamil Nadu Government Stock 2019 10.0 78 8.89% Tamil Nadu Government Stock 2022 11.5
111State Finances : A Study of Budgets of 2015-16
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
79 8.63% Tamil Nadu Government Stock 2023 10.0 10 13.85% Tamil Nadu S. D. L. 2006 β
80 8.56% Tamil Nadu Government Stock 2023 10.0 11 13.05% Tamil Nadu S. D. L. 2007 β
81 8.62% Tamil Nadu Government Stock 2023 10.0 12 13.00% Tamil Nadu S. D. L. 2007 β
82 8.60% Tamil Nadu Government Stock 2023 10.0 13 12.30% Tamil Nadu S. D. L. 2007 β
83 8.25% Tamil Nadu Government Stock 2023 10.0 14 12.15% Tamil Nadu S. D. L. 2008 β
84 8.10% Tamil Nadu Government Stock 2023 10.0 15 11.50% Tamil Nadu S. D. L. 2008 β
85 7.59% Tamil Nadu Government Stock 2023 10.0 16 12.50% Tamil Nadu S. D. L. 2008 β
86 7.62% Tamil Nadu Government Stock 2023 10.0 17 12.25% Tamil Nadu S. D. L. 2009 β
87 7.77% Tamil Nadu Government Stock 2023 10.0 18 11.50% Tamil Nadu S. D. L. 2009 β
88 7.95% Tamil Nadu Government Stock 2023 10.0 19 11.50% Tamil Nadu S. D. L. 2010 β
89 9.10% Tamil Nadu Government Stock 2023 4.2 20 12.00% Tamil Nadu S. D. L. 2010 β
90 9.55% Tamil Nadu Government Stock 2023 10.0 21 10.50% Tamil Nadu S. D. L. 2011 β
91 9.80% Tamil Nadu Government Stock 2023 6.5 22 11.50% Tamil Nadu S. D. L. 2011 β
92 9.32% Tamil Nadu Government Stock 2023 12.5 23 9.45% Tamil Nadu S. D. L. 2011 β
93 9.37% Tamil Nadu Government Stock 2023 12.5 24 12.00% Tamil Nadu S. D. L. 2011 β
94 9.39% Tamil Nadu Government Stock 2023 15.0 25 5.85% Tamil Nadu S. D. L. 2015 [II SERIES] β
95 9.38% Tamil Nadu Government Stock 2023 15.0 26 7.02% Tamil Nadu S. D. L. 2015 β
96 9.49% Tamil Nadu Government Stock 2023 20.0 TOTAL [B] β
97 9.41% Tamil Nadu S. D. L. 2024 11.8 TOTAL [A+B] 1,203.3
98 9.65% Tamil Nadu S. D. L. 2024 12.5 TELANGANA
99 9.47% Tamil Nadu S. D. L. 2024 15.0 Loans Bearing Interest
100 9.63% Tamil Nadu S. D. L. 2024 10.0 1 5.85% Andhra Pradesh 2015 1.1
101 9.37% Tamil Nadu S. D. L. 2024 10.0 2 6.20% Andhra Pradesh 2015 1.9
102 9.24% Tamil Nadu S. D. L. 2024 12.5 3 7.39% Andhra Pradesh Government Stock 2015 2.0
103 9.11% Tamil Nadu S. D. L. 2024 12.5 4 7.77% Andhra Pradesh S. D. L. 2015 3.3
104 8.83% Tamil Nadu S. D. L. 2024 12.5 5 7.34% Andhra Pradesh Government Stock 2015 1.6
105 8.96% Tamil Nadu S. D. L. 2024 12.5 6 7.32% Andhra Pradesh Government Stock 2016 1.3
106 8.94% Tamil Nadu S. D. L. 2024 12.5
7 7.74% Andhra Pradesh Government Stock 2016 1.7
107 9.02% Tamil Nadu S. D. L. 2024 10.0
8 7.89% Andhra Pradesh Government Stock 2016 2.1
108 8.95% Tamil Nadu S. D. L. 2024 10.0
9 7.93% Andhra Pradesh Government Stock 2016 1.7
109 8.99% Tamil Nadu S. D. L. 2024 6.3
10 8.65% Andhra Pradesh Government Stock 2016 3.1
110 8.90% Tamil Nadu S. D. L. 2024 5.0
11 5.90% Andhra Pradesh Government Stock 2017 1.3
111 8.87% Tamil Nadu S. D. L. 2024 12.5
12 7.17% Andhra Pradesh Government Stock 2017 0.2
112 8.72% Tamil Nadu S. D. L. 2024 10.0
13 7.99% Andhra Pradesh Government Stock 2017 1.3
113 8.44% Tamil Nadu S. D. L. 2024 12.5
14 8.00% Andhra Pradesh Government Stock 2017 2.5
114 8.44% Tamil Nadu S. D. L. 2024 18.8
15 8.17% Andhra Pradesh Government Stock 2017 1.6
115 8.25% Tamil Nadu S. D. L. 2024 10.0
16 8.40% Andhra Pradesh Government Stock 2017 1.7
116 8.13% Tamil Nadu S. D. L. 2025 15.0 (Loan Code No.07230)
117 8.07% Tamil Nadu S. D. L. 2025 15.0 17 8.40% Andhra Pradesh Government Stock 2017 3.1
118 8.07% Tamil Nadu S. D. L. 2025 15.0 (Loan Code No.07267)
119 8.06% Tamil Nadu S. D. L. 2025 6.0 18 8.45% Andhra Pradesh Government Stock 2017017 2.5
120 8.10% Tamil Nadu S. D. L. 2025 15.0 19 8.48% Andhra Pradesh Government Stock 2017 2.1
Total [A] 1,203.3 20 7.10% Andhra Pradesh Government Stock 2018 6.3
Loans not Bearing Interest 21 7.92% Andhra Pradesh Government Stock 2018 2.1
1 7.50% Tamil Nadu S. D. L. 1997 β 22 7.98% Andhra Pradesh Government Stock 2018 3.3
2 9.75% Tamil Nadu S. D. L. 1998 β 23 8.11% Andhra Pradesh S. D. L. 2018 4.2
3 9.00% Tamil Nadu S. D. L. 1999 β 24 8.25% Andhra Pradesh S. D. L. 2018 4.2
4 8.75% Tamil Nadu S. D. L. 2000 β 25 8.41% Andhra Pradesh S. D. L. 2018 4.2
5 11.00% Tamil Nadu S. D. L. 2001 β 26 8.45% Andhra Pradesh S. D. L. 2018 6.3
6 11.00% Tamil Nadu S. D. L. 2002 β 27 9.40% Andhra Pradesh S. D. L. 2018 2.1
7 13.50% Tamil Nadu S. D. L. 2003 β 28 9.89% Andhra Pradesh S. D. L. 2018 4.2
8 12.50% Tamil Nadu S. D. L. 2004 β 29 5.80% Andhra Pradesh Government Stock 2019 4.2
9 14.00% Tamil Nadu S. D. L. 2005 β 30 7.13% Andhra Pradesh Government Stock 2019 6.8
112Statements
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
31 7.45% Andhra Pradesh Government Stock 2019 5.0 82 8.90% Andhra Pradesh Government Stock 2022 3.1
32 8.09% Andhra Pradesh Government Stock 2019 0.7 83 8.91% Andhra Pradesh Government Stock 2022 3.1
33 8.59% Andhra Pradesh Government Stock 2019 8.0 84 8.89% Andhra Pradesh Government Stock 2022 3.1
34 7.11% Andhra Pradesh Government Stock 2019 6.7 85 8.86% Andhra Pradesh Government Stock 2022 3.1
35 7.45% Andhra Pradesh Government Stock 2019 4.2 86 8.80% Andhra Pradesh Government Stock 2022 3.1
36 7.50% Andhra Pradesh Government Stock 2019 4.2 87 8.85% Andhra Pradesh Government Stock 2022 3.1
37 7.83% Andhra Pradesh Government Stock 2019 4.2 88 8.91% Andhra Pradesh Government Stock 2022 3.1
38 7.85% Andhra Pradesh Government Stock 2019 4.2 89 8.91% Andhra Pradesh Government Stock 2022 3.1
39 7.93% Andhra Pradesh Government Stock 2019 4.2 90 8.59% Andhra Pradesh Government Stock 2023 (13210) 8.3
40 8.10% Andhra Pradesh Government Stock 2019 5.8 91 8.72% Andhra Pradesh Government Stock 2023 10.4
(Loan Code No.09331) 92 8.59% Andhra Pradesh Government Stock 2023 (13228) 2.1
41 8.19% Andhra Pradesh Government Stock 2019 8.3 93 8.64% Andhra Pradesh Government Stock 2023 8.3
42 8.10% Andhra Pradesh Government Stock 2019 4.2 94 8.25% Andhra Pradesh Government Stock 2023 4.2
(Loan Code No.09351)
95 7.57% Andhra Pradesh Government Stock 2023 4.2
43 8.22% Andhra Pradesh Government Stock 2019 4.2
96 9.84% Andhra Pradesh Government Stock 2023 4.2
44 8.26% Andhra Pradesh Government Stock 2019 2.1 (Loan Code 9001 524 065)
45 8.25% Andhra Pradesh Government Stock 2020 2.1 97 9.71% Andhra Pradesh Government Stock 2023 7.5
46 8.48% Andhra Pradesh Government Stock 2020 4.2 98 9.77% Andhra Pradesh Government Stock 2023 4.2
47 8.39% Andhra Pradesh Government Stock 2020 5.8 99 9.55% Andhra Pradesh Government Stock 2023 7.8
48 8.07% Andhra Pradesh Government Stock 2020 4.2 100 9.84% Andhra Pradesh Government Stock 2023 3.3
49 8.49% Andhra Pradesh Government Stock 2020 2.1 (Loan Code 9001 524 106)
50 8.57% Andhra Pradesh Government Stock 2020 6.3 101 9.38% Andhra Pradesh Government Stock 2023 5.1
51 8.11% Andhra Pradesh Government Stock 2020 4.2 102 9.39% Andhra Pradesh Government Stock 2023 4.2
52 8.18% Andhra Pradesh Government Stock 2020 4.2 103 9.52% Andhra Pradesh Government Stock 2023 7.6
53 8.37% Andhra Pradesh Government Stock 2020 4.2 104 9.38% Andhra Pradesh Government Stock 2024 7.9
54 8.42% Andhra Pradesh Government Stock 2020 4.2 105 9.26% Andhra Pradesh Government Stock 2024 6.3
55 8.52% Andhra Pradesh Government Stock 2020 2.1 106 9.40% Andhra Pradesh Government Stock 2024 3.8
56 8.39% Andhra Pradesh Government Stock 2020 4.2 107 9.63% Andhra Pradesh Government Stock 2024 6.1
57 8.35% Andhra Pradesh Government Stock 2020 2.1 108 9.84% Andhra Pradesh Government Stock 2024 4.7
58 8.53% Andhra Pradesh Government Stock 2021 4.2 109 9.71% Andhra Pradesh Government Stock 2024 7.3
59 8.51% Andhra Pradesh Government Stock 2021 6.0 110 9.48% Andhra Pradesh Government Stock 2024 5.2
60 8.37% Andhra Pradesh Government Stock 2021 2.3 111 9.40% Andhra Pradesh S. D. L. 2024 8.3
61 8.47% Andhra Pradesh Government Stock 2021 5.0 112 9.21% Andhra Pradesh S. D. L. 2024 12.5
62 8.67% Andhra Pradesh Government Stock 2021 4.2 113 9.18% Andhra Pradesh S. D. L. 2024 8.3
63 8.60% Andhra Pradesh Government Stock 2021 4.2 114 9.06% Telangana S. D. L. 2024 20.0
64 8.66% Andhra Pradesh Government Stock 2021 7.5 115 8.46% Telangana S. D. L. 2024 8.0
65 8.56% Andhra Pradesh Government Stock 2021 8.3 116 8.18% Telangana S. D. L. 2024 10.0
66 8.63% Andhra Pradesh Government Stock 2021 8.3 117 8.89% Telangana S. D. L. 2024 8.0
67 8.90% Andhra Pradesh Government Stock 2021 6.8 118 8.16% Telangana S. D. L. 2025 8.0
68 9.04% Andhra Pradesh Government Stock 2021 1.6 119 8.09% Telangana S. D. L. 2025 8.0
69 9.17% Andhra Pradesh Government Stock 2021 4.2 120 8.08% Telangana S. D. L. 2025 10.0
70 9.25% Andhra Pradesh Government Stock 2021 2.1 121 8.12% Telangana S. D. L. 2025 10.0
71 8.72% Andhra Pradesh Government Stock 2022 4.2 TOTAL [A] 564.0
72 8.71% Andhra Pradesh Government Stock 2022 4.2 Power Bonds
73 8.97% Andhra Pradesh Government Stock 2022 4.2 1 8.50% Andhra Pradesh Power Bonds April 2015 (03656) β
74 9.20% Andhra Pradesh Government Stock 2022 6.3 2 8.50% Andhra Pradesh Power Bonds October 2015 (03671) 0.5
75 9.14% Andhra Pradesh Government Stock 2022 3.1 3 8.50% Andhra Pradesh Power Bonds April 2016 (03686) 0.5
76 9.12% Andhra Pradesh Government Stock 2022 4.2 TOTAL [B] 1.0
77 8.86% Andhra Pradesh Government Stock 2022 3.1 TOTAL [A+B] 565.0
78 8.89% Andhra Pradesh Government Stock 2022 3.1 Loans Not Bearing Interest
79 8.90% Andhra Pradesh Government Stock 2022 3.1 1 8.25% Andhra Pradesh S. D. L. 1995 β
80 8.84% Andhra Pradesh Government Stock 2022 3.1 2 7.50% Andhra Pradesh S. D. L. 1997 β
81 8.90% Andhra Pradesh Government Stock 2022 3.1 3 9.75% Andhra Pradesh S. D. L. 1998 β
113State Finances : A Study of Budgets of 2015-16
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
4 9.00% Andhra Pradesh S. D. L. 1999 β Power Bonds
5 11.00% Andhra Pradesh S. D. L. 2001 β 1 8.50% Government of Tripura Power Bonds April 2015 (03918) β
6 11.00% Andhra Pradesh S. D. L. 2002 β 2 8.50% Government of Tripura Power Bonds October 2015 (03929) β
7 12.50% Andhra Pradesh S. D. L. 2004 β 3 8.50% Government of Tripura Power Bonds April 2016 (03940) β
8 14.00% Andhra Pradesh S. D. L. 2005 β TOTAL[B] 0.1
9 13.00% Andhra Pradesh S. D. L. 2007 β TOTAL[A+B] 29.0
10 13.05% Andhra Pradesh S. D. L. 2007 β Loans not Bearing Interest
11 11.50% Andhra Pradesh S. D. L. 2008 β 1 6.75% Tripura S. D. L. 1992 β
12 12.25% Andhra Pradesh S. D. L. 2009 β 2 7.50% Tripura S. D. L. 1997 β
13 11.50% Andhra Pradesh S. D. L. 2009 β 3 11.00% Tripura S. D. L. 2002 β
14 11.85% Andhra Pradesh S. D. L. 2009 β 4 5.85% Tripura S. D. L. 2015 (II SR) β
15 10.52% Andhra Pradesh S. D. L. 2010 β 5 7.02% Tripura S. D. L. 2015 β
16 11.50% Andhra Pradesh S. D. L. 2010 β TOTAL[C] β
17 11.50% Andhra Pradesh S. D. L. 2011 β TOTAL[A+B+C] 29.0
18 12.00% Andhra Pradesh S. D. L. 2011 β UTTAR PRADESH @
19 6.95% Andhra Pradesh S. D. L. 2013 β Loans Bearing Interest (Subsequent to Reorganisation)
20 7.02% Andhra Pradesh S. D. L. 2015 β 1 5.85% Uttar Pradesh S. D. L. 2015 7.9
TOTAL [C] β 2 6.20% Uttar Pradesh S. D. L. 2015 8.1
TOTAL [A+B+C] 565.0 3 7.53% Uttar Pradesh S. D. L. 2015 15.0
TRIPURA 4 7.77% Uttar Pradesh S. D. L. 2015 10.0
Loans Bearing Interest 5 7.85% Uttar Pradesh S. D. L. 2016 6.0
1 5.85% Tripura S. D. L. 2015 0.6 6 8.00% Uttar Pradesh S. D. L. 2016 16.3
2 6.20% Tripura S. D. L. 2015 0.2 7 5.90% Uttar Pradesh S. D. L. 2017 8.7
3 7.45% Tripura Government Stock 2015 0.4 8 7.17% Uttar Pradesh S. D. L. 2017 0.3
4 7.77% Tripura S. D. L. 2015 0.3 9 8.45% Uttar Pradesh S. D. L. 2017 16.2
5 7.61% Tripura S. D. L. 2016 0.4 10 8.55% Uttar Pradesh S. D. L. 2017 10.0
6 7.70% Tripura Government Stock 2016 0.3 11 8.01% Uttar Pradesh S. D. L. 2018 15.0
7 8.11% Tripura Government Stock 2016 0.4 12 8.07% Uttar Pradesh S. D. L. 2018 11.0
8 5.90% Tripura S. D. L. 2017 0.6 13 8.25% Uttar Pradesh S. D. L. 2018 8.2
9 7.17% Tripura S. D. L. 2017 1.5 14 8.51% Uttar Pradesh S. D. L. 2018 10.0
10 7.77% Tripura Government Stock 2019 1.6 15 9.59% Uttar Pradesh S. D. L. 2018 10.0
11 8.24% Tripura Government Stock 2019 1.5 16 9.30% Uttar Pradesh S. D. L. 2018 10.0
12 8.40% Tripura Government Stock 2019 1.0 17 8.89% Uttar Pradesh S. D. L. 2018 10.0
13 8.49% Tripura Government Stock 2020 1.0 18 7.85% Uttar Pradesh S. D. L. 2018 10.0
14 8.10% Tripura Government Stock 2020 1.0 19 7.03% Uttar Pradesh S. D. L. 2018 10.0
15 8.39% Tripura Government Stock 2021 1.2
20 7.10% Uttar Pradesh S. D. L. 2019 11.0
16 8.40% Tripura Government Stock 2021 0.7
21 8.57% Uttar Pradesh S. D. L. 2019 30.0
17 8.65% Tripura Government Stock 2021 1.0
22 8.59% Uttar Pradesh S. D. L. 2019 25.9
18 8.60% Tripura Government Stock 2021 0.5
23 7.53% Uttar Pradesh S. D. L. 2019 15.0
19 8.60% Tripura Government Stock 2022 0.5
24 7.84% Uttar Pradesh S. D. L. 2019 5.0
20 9.42% Tripura Government Stock 2022 1.0
25 7.97% Uttar Pradesh S. D. L. 2019 10.0
21 8.90% Tripura Government Stock 2022 1.3
26 8.03% Uttar Pradesh S. D. L. 2019 15.0
22 8.94% Tripura Government Stock 2022 0.9
27 7.80% Uttar Pradesh S. D. L. 2019 5.0
23 8.90% Tripura Government Stock 2022 1.0
28 8.32% Uttar Pradesh S. D. L. 2019 15.0
24 8.60% Tripura Government Stock 2023 2.5
29 8.47% Uttar Pradesh S. D. L. 2019 15.0
25 8.55% Tripura Government Stock 2023 0.8
30 8.26% Uttar Pradesh S. D. L. 2019 13.1
26 9.39% Tripura S. D. L. 2024 2.0
31 8.44% Uttar Pradesh S. D. L. 2019 15.0
27 9.50% Tripura S. D. L. 2024 1.5
32 8.39% Uttar Pradesh S. D. L. 2020 18.7
28 9.67% Tripura S. D. L. 2024 1.5
33 8.58% Uttar Pradesh S. D. L. 2020 12.0
29 9.48% Tripura S. D. L. 2024 0.5
34 8.55% Uttar Pradesh S. D. L. 2020 20.0
30 8.09% Tripura S. D. L. 2025 1.5
35 8.28% Uttar Pradesh S. D. L. 2020 10.0
TOTAL[A] 28.9
36 8.10% Uttar Pradesh S. D. L. 2020 10.0
114Statements
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
37 8.13% Uttar Pradesh S. D. L. 2020 8.0 8.50% Government of Uttar Pradesh Power Bonds
38 8.19% Uttar Pradesh S. D. L. 2020 10.0 1 8.50% Government of Uttar Pradesh Power Bonds April 2015 β
39 8.37% Uttar Pradesh S. D. L. 2020 12.0 (03669)
40 8.41% Uttar Pradesh S. D. L. 2020 10.0 2 8.50% Government of Uttar Pradesh Power Bonds October 2015 2.9
(03684)
41 8.39% Uttar Pradesh S. D. L. 2020 10.0
3 8.50% Government of Uttar Pradesh Power Bonds April 2016 2.9
42 8.55% Uttar Pradesh S. D. L. 2020 15.0
(03699)
43 8.34% Uttar Pradesh S. D. L. 2020 10.0
TOTAL[B] 5.9
44 8.56% Uttar Pradesh S. D. L. 2021 5.0
TOTAL[A+B] 1,032.5
45 8.65% Uttar Pradesh S. D. L. 2021 15.0
Government of Uttar Pradesh Special Bonds
46 8.66% Uttar Pradesh S. D. L. 2021 10.0
1 8.61% Uttar Pradesh Special Bond 2028 4.5
47 8.56% Uttar Pradesh S. D. L. 2021 10.0
2 8.68% Uttar Pradesh Special Bond 2027 4.5
48 8.69% Uttar Pradesh S. D. L. 2021 15.0
3 8.55% Uttar Pradesh Special Bond 2026 4.5
49 8.58% Uttar Pradesh S. D. L. 2021 5.1
4 8.67% Uttar Pradesh Special Bond 2025 4.5
50 8.61% Uttar Pradesh S. D. L. 2021 10.0
5 8.55% Uttar Pradesh Special Bond 2024 4.5
51 8.66% Uttar Pradesh S. D. L. 2021 10.0
6 8.71% Uttar Pradesh Special Bond 2023 4.5
52 8.90% Uttar Pradesh S. D. L. 2021 10.0
7 8.71% Uttar Pradesh Special Bond 2022 4.5
53 9.25% Uttar Pradesh S. D. L. 2021 14.9
8 8.72% Uttar Pradesh Special Bond 2021 4.5
54 9.25% Uttar Pradesh S. D. L. 2021 10.0
9 8.70% Uttar Pradesh Special Bond 2020 4.5
55 9.02% Uttar Pradesh S. D. L. 2021 10.0
10 8.66% Uttar Pradesh Special Bond 2019 4.5
56 8.80% Uttar Pradesh S. D. L. 2021 10.0
11 8.61% Uttar Pradesh Special Bond 2028 0.8
57 8.75% Uttar Pradesh S. D. L. 2022 10.0
12 8.67% Uttar Pradesh Special Bond 2027 0.8
58 8.76% Uttar Pradesh S. D. L. 2022 10.0
13 8.57% Uttar Pradesh Special Bond 2026 0.8
59 9.28% Uttar Pradesh S. D. L. 2022 8.3
14 8.65% Uttar Pradesh Special Bond 2025 0.8
60 9.17% Uttar Pradesh S. D. L. 2022 15.0
15 8.58% Uttar Pradesh Special Bond 2024 0.8
61 8.92% Uttar Pradesh S. D. L. 2022 15.0
62 8.88% Uttar Pradesh S. D. L. 2022 10.0 16 8.67% Uttar Pradesh Special Bond 2023 0.8
63 8.93% Uttar Pradesh S. D. L. 2022 (12339) 10.0 17 8.73% Uttar Pradesh Special Bond 2022 0.8
64 8.93% Uttar Pradesh S. D. L. 2022 (12358) 15.0 18 8.71% Uttar Pradesh Special Bond 2021 0.8
65 8.91% Uttar Pradesh S. D. L. 2022 10.0 19 8.71% Uttar Pradesh Special Bond 2020 0.8
66 8.88% Uttar Pradesh S. D. L. 2022 10.0 20 8.67% Uttar Pradesh Special Bond 2019 0.8
67 8.86% Uttar Pradesh S. D. L. 2022 10.0 TOTAL[C] 52.7
68 8.11% Uttar Pradesh S. D. L. 2023 10.0 TOTAL[A+B+C] 1,085.2
69 7.60% Uttar Pradesh S. D. L. 2023 10.0 Compensation Bonds
70 7.63% Uttar Pradesh S. D. L. 2023 10.0 1 2.75% UPZARG Bonds 0.1
71 7.78% Uttar Pradesh S. D. L. 2023 10.0 2 3.25% Uttar Pradesh Estates Act Bonds β
72 9.33% Uttar Pradesh S. D. L. 2023 12.5 3 3.50% Uttar Pradesh Land Ceiling Comp. Bonds β
73 9.40% Uttar Pradesh S. D. L. 2023 7.5 4 2.50% UPZA Comp. Bonds β
74 9.52% Uttar Pradesh S. D. L. 2023 5.0 5 2.50% UPZA Comp. Bonds Certs. 0.3
75 9.39% Uttar Pradesh S. D. L. 2024 5.0 TOTAL[D] 0.4
76 9.67% Uttar Pradesh S. D. L. 2024 10.0 TOTAL[A+B+C+D] 2,118.2
77 9.66% Uttar Pradesh S. D. L. 2024 10.0 Loans not Bearing Interest (Prior to Reorganisation)
78 9.40% Uttar Pradesh S. D. L. 2024 10.0 1 7.00% Uttar Pradesh S. D. L. 1993 β
79 9.24% Uttar Pradesh S. D. L. 2024 10.0 2 8.25% Uttar Pradesh S. D. L. 1995 β
80 8.87% Uttar Pradesh S. D. L. 2024 10.0 3 7.50% Uttar Pradesh S. D. L. 1997 β
81 8.73% Uttar Pradesh S. D. L. 2024 10.0 4 9.75% Uttar Pradesh S. D. L. 1998 β
82 8.46% Uttar Pradesh S. D. L. 2024 12.5 5 9.00% Uttar Pradesh S. D. L. 1999 β
83 8.45% Uttar Pradesh S. D. L. 2024 12.5 6 11.00% Uttar Pradesh S. D. L. 2001 β
84 8.18% Uttar Pradesh S. D. L. 2024 17.5 7 11.00% Uttar Pradesh S. D. L. 2002 β
85 8.26% Uttar Pradesh S. D. L. 2024 17.5 8 13.50% Uttar Pradesh S. D. L. 2003 β
86 8.10% Uttar Pradesh S. D. L. 2025 20.0 9 14.00% Uttar Pradesh S. D. L. 2005 β
87 8.08% Uttar Pradesh S. D. L. 2025 25.0 10 13.85% Uttar Pradesh S. D. L. 2006 β
88 8.08% Uttar Pradesh S. D. L. 2025 15.0 11 13.00% Uttar Pradesh S. D. L. 2007 β
89 8.05% Uttar Pradesh S. D. L. 2025 5.0 12 12.30% Uttar Pradesh S. D. L. 2007 β
TOTAL[A] 1,026.7 13 11.50% Uttar Pradesh S. D. L. 2008 β
115State Finances : A Study of Budgets of 2015-16
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
14 11.50% Uttar Pradesh S. D. L. 2009 β 36 8.08% Uttaranchal S. D. L. 2025 5.0
15 11.30% Uttar Pradesh S. D. L. 2010 β 37 8.05% Uttaranchal S. D. L. 2025 2.5
16 11.50% Uttar Pradesh S. D. L. 2010 β TOTAL[A] 130.2
17 12.00% Uttar Pradesh S. D. L. 2010 β 8.50% Government of Uttaranchal Power Bonds
18 11.50% Uttar Pradesh S. D. L. 2011 β 1 8.50% Government of Uttaranchal Power Bonds April 2015 β
19 12.00% Uttar Pradesh S. D. L. 2011 β (03668)
TOTAL[E] β 2 8.50% Government of Uttaranchal Power Bonds October 2015 0.3
(03683)
TOTAL[A+B+C+D+E] 2,118.2
3 8.50% Government of Uttaranchal Power Bonds April 2016 0.3
Loans not Bearing Interest (Subsequent to Reorganisation)
(03698)
1 9.45% Uttar Pradesh S. D. L. 2011 β
TOTAL[B] 0.6
2 8.00% Uttar Pradesh S. D. L. 2012 β
TOTAL[A+B] 130.8
3 7.32% Uttar Pradesh S. D. L. 2014 β
Compensation Bonds
4 5.85% Uttar Pradesh S. D. L. 2015 (II SR) β
1 2.75% UPZA Rehabilitation Grant Bonds 0.1
5 7.02% Uttar Pradesh S. D. L. 2015 β
2 3.25% UP Encumbered Estates Act Bonds β
TOTAL[F] β
3 3.50% Uttar Pradesh Land Ceiling Compensation Bonds β
TOTAL[A+B+C+D+E+F] 2,118.2
4 2.50% UPZA Comp. Bonds β
UTTARAKHAND@@
5 2.50% UPZA Comp. Bonds Certs. 0.3
Loans Bearing Interest
TOTAL[C] 0.4
1 5.85% Uttaranchal S. D. L. 2015 2.6
TOTAL[A+B+C] 131.2
2 6.20% Uttaranchal S. D. L. 2015 3.4
Loans Not Bearing Interest (Prior to reorganisation)
3 7.77% Uttaranchal S. D. L. 2015 0.9
1 7.00% Uttar Pradesh S. D. L. 1993 β
4 7.70% Uttaranchal Government Stock 2016 2.5
2 8.25% Uttar Pradesh S. D. L. 1995 β
5 7.72% Uttaranchal Government Stock 2016 2.3
3 7.50% Uttar Pradesh S. D. L. 1997 β
6 7.95% Uttaranchal Government Stock 2016 1.6
4 9.75% Uttar Pradesh S. D. L. 1998 β
7 8.38% Uttaranchal Government Stock 2017 2.1
5 9.00% Uttar Pradesh S. D. L. 1999 β
8 8.39% Uttaranchal Government Stock 2017 2.5
6 11.00% Uttar Pradesh S. D. L. 2001 β
9 7.87% Uttaranchal Government Stock 2018 2.5
7 11.00% Uttar Pradesh S. D. L. 2002 β
10 8.12% Uttaranchal Government Stock 2018 2.5
8 13.50% Uttar Pradesh S. D. L. 2003 β
11 8.68% Uttaranchal Government Stock 2018 0.8
9 14.00% Uttar Pradesh S. D. L. 2005 β
12 8.50% Uttaranchal Government Stock 2018 2.5
10 13.85% Uttar Pradesh S. D. L. 2006 β
13 8.39% Uttaranchal Government Stock 2018 2.0
11 13.00% Uttar Pradesh S. D. L. 2007 β
14 7.00% Uttaranchal Government Stock 2018 2.2
12 12.30% Uttar Pradesh S. D. L. 2007 β
15 7.45% Uttaranchal Government Stock 2019 2.5
13 11.50% Uttar Pradesh S. D. L. 2008 β
16 8.55% Uttaranchal Government Stock 2019 0.9
14 11.50% Uttar Pradesh S. D. L. 2009 β
17 7.77% Uttaranchal Government Stock 2019 3.0
15 11.30% Uttar Pradesh S. D. L. 2010 β
18 7.80% Uttaranchal Government Stock 2019 3.0
19 8.58% Uttaranchal Government Stock 2020 5.0 16 11.50% Uttar Pradesh S. D. L. 2010 β
20 8.12% Uttaranchal Government Stock 2020 2.0 17 12.00% Uttar Pradesh S. D. L. 2010 β
21 8.55% Uttaranchal Government Stock 2021 2.9 18 11.50% Uttar Pradesh S. D. L. 2011 β
22 8.39% Uttaranchal Government Stock 2021 5.0 19 12.00% Uttar Pradesh S. D. L. 2011 β
23 8.65% Uttaranchal Government Stock 2021 2.0 TOTAL[D] β
24 8.62% Uttaranchal Government Stock 2021 1.5 TOTAL[A+B+C+D] 131.2
25 9.05% Uttaranchal Government Stock 2021 1.5 WEST BENGAL
26 8.62% Uttaranchal Government Stock 2022 1.0 Loans bearing interest
27 9.02% Uttaranchal Government Stock 2022 3.0 1 5.85% West Bengal S. D. L. 2015 1.6
28 8.93% Uttaranchal Government Stock 2022 1.5 2 6.20% West Bengal S. D. L. 2015 11.7
29 9.01% Uttaranchal Government Stock 2022 5.0 3 7.39% West Bengal Government Stock 2015 4.5
30 8.67% Uttaranchal Government Stock 2023 11.0 4 7.53% West Bengal Government Stock 2015 6.3
31 9.40% Uttaranchal S. D. L. 2024 5.0 5 7.77% West Bengal Government Stock 2015 6.3
32 9.84% Uttaranchal S. D. L. 2024 10.0 6 7.74% West Bengal Government Stock 2016 4.7
33 9.70% Uttaranchal S. D. L. 2024 10.0 7 7.93% West Bengal Government Stock 2016 8.7
34 8.25% Uttaranchal S. D. L. 2024 10.0 8 5.90% West Bengal S. D. L. 2017 9.0
35 8.09% Uttaranchal S. D. L. 2025 6.5 9 7.17% West Bengal S. D. L. 2017 9.7
116Statements
Statement 22: State Government Market Loans (Contd.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
10 8.39% West Bengal Government Stock 2017 11.0 63 9.04% West Bengal Government Stock 2021 12.5
11 8.40% West Bengal Government Stock 2017 ( 07231) 10.0 64 8.81% West Bengal Government Stock 2021 13.0
12 8.40% West Bengal Government Stock 2017 ( 07266) 20.0 65 8.75% West Bengal Government Stock 2022 8.0
13 8.48% West Bengal Government Stock 2017 (07240) 9.6 66 8.66% West Bengal Government Stock 2022 10.0
14 8.48% West Bengal Government Stock 2017 ( 07273) 21.0 67 8.80% West Bengal Government Stock 2022 10.0
15 8.50% West Bengal Government Stock 2017 21.0 68 9.36% West Bengal Government Stock 2022 6.7
16 6.43% West Bengal Government Stock 2018 8.9 69 9.31% West Bengal Government Stock 2022 25.0
17 7.86% West Bengal Government Stock 2018 15.0 70 9.23% West Bengal Government Stock 2022 10.0
18 7.87% West Bengal Government Stock 2018 14.0 71 9.22% West Bengal Government Stock 2022 15.0
19 8.07% West Bengal Government Stock 2018 6.0 72 8.95% West Bengal Government Stock 2022 5.0
20 8.30% West Bengal Government Stock 2018 9.4 73 8.91% West Bengal Government Stock 2022 15.0
21 8.52% West Bengal Government Stock 2018 10.0 74 8.96% West Bengal Government Stock 2022 15.0
22 8.60% West Bengal Government Stock 2018 18.5 75 8.92% West Bengal Government Stock 2022 15.0
23 8.80% West Bengal Government Stock 2018 18.0 76 8.90% West Bengal Government Stock 2022 20.0
24 9.38% West Bengal Government Stock 2018 8.0 77 8.89% West Bengal Government Stock 2022 5.0
25 9.90% West Bengal Government Stock 2018 8.0 78 9.01% West Bengal Government Stock 2022 20.0
26 7.27% West Bengal Government Stock 2019 10.0 79 9.03% West Bengal Government Stock 2022 20.0
27 8.25% West Bengal Government Stock 2019 1.9 80 8.64% West Bengal Government Stock 2023 8.0
28 8.43% West Bengal Government Stock 2019 19.7 81 8.60% West Bengal Government Stock 2023 5.0
29 7.10% West Bengal Government Stock 2019 25.0 82 8.66% West Bengal Government Stock 2023 (13247) 12.0
30 7.50% West Bengal Government Stock 2019 15.0 83 8.66% West Bengal Government Stock 2023 (13262) 15.0
31 7.55% West Bengal Government Stock 2019 20.0 84 8.26% West Bengal Government Stock 2023 10.0
32 7.70% West Bengal Government Stock 2019 3.9 85 7.63% West Bengal Government Stock 2023 10.0
33 7.96% West Bengal Government Stock 2019 20.0 86 7.82% West Bengal Government Stock 2023 20.0
34 8.02% West Bengal Government Stock 2019 20.0 87 7.98% West Bengal Government Stock 2023 10.0
35 8.31% West Bengal Government Stock 2019 15.0 88 9.48% West Bengal Government Stock 2023 10.0
36 7.65% West Bengal Government Stock 2019 0.1 89 9.72% West Bengal Government Stock 2023 10.0
37 7.68% West Bengal Government Stock 2019 2.1 90 9.84% West Bengal Government Stock 2023 9.3
38 8.10% West Bengal Government Stock 2019 23.3 91 9.94% West Bengal Government Stock 2023 15.0
39 8.42% West Bengal Government Stock 2019 10.0 92 9.35% West Bengal Government Stock 2023 10.0
40 8.57% West Bengal Government Stock 2020 8.0 93 9.35% West Bengal Government Stock 2023 5.7
41 8.58% West Bengal Government Stock 2020 20.0 94 9.42% West Bengal Government Stock 2023 15.0
42 8.51% West Bengal Government Stock 2020 5.0 95 9.42% West Bengal Government Stock 2023 10.0
43 8.28% West Bengal Government Stock 2020 15.0 96 9.37% West Bengal Government Stock 2023 5.0
44 8.11% West Bengal Government Stock 2020 10.0 97 9.54% West Bengal Government Stock 2023 10.0
45 8.17% West Bengal Government Stock 2020 10.0 98 9.40% West Bengal S. D. L. 2024 8.0
46 8.38% West Bengal Government Stock 2020 10.0 99 9.26% West Bengal S. D. L. 2024 12.0
47 8.39% West Bengal Government Stock 2020 5.0 100 9.42% West Bengal S. D. L. 2024 10.0
48 8.44% West Bengal Government Stock 2020 5.0 101 9.72% West Bengal S. D. L. 2024 10.0
49 8.39% West Bengal Government Stock 2020 5.0 102 9.85% West Bengal S. D. L. 2024 10.0
50 8.42% West Bengal Government Stock 2020 5.0 103 9.70% West Bengal S. D. L. 2024 10.0
51 8.51% West Bengal Government Stock 2020 5.0 104 9.40% West Bengal S. D. L. 2024 18.0
52 8.36% West Bengal Government Stock 2021 14.0 105 9.23% West Bengal S. D. L. 2024 8.0
53 8.44% West Bengal Government Stock 2021 17.7 106 9.15% West Bengal S. D. L. 2024 10.0
54 8.60% West Bengal Government Stock 2021 20.0 107 9.00% West Bengal S. D. L. 2024 10.0
55 8.60% West Bengal Government Stock 2021 30.0 108 8.99% West Bengal S. D. L. 2024 20.0
56 8.65% West Bengal Government Stock 2021 10.0 109 9.10% West Bengal S. D. L. 2024 15.0
57 8.61% West Bengal Government Stock 2021 10.0 110 8.98% West Bengal S. D. L. 2024 15.0
58 8.55% West Bengal Government Stock 2021 10.0 111 8.74% West Bengal S. D. L. 2024 15.0
59 8.64% West Bengal Government Stock 2021 10.0 112 8.44% West Bengal S. D. L. 2024 10.0
60 8.65% West Bengal Government Stock 2021 15.0 113 8.45% West Bengal S. D. L. 2024 10.0
61 9.08% West Bengal Government Stock 2021 15.0 114 8.17% West Bengal S. D. L. 2024 10.0
62 9.28% West Bengal Government Stock 2021 10.0 115 8.27% West Bengal S. D. L. 2024 10.0
117State Finances : A Study of Budgets of 2015-16
Statement 22: State Government Market Loans (Concld.)
(` Billion)
Sr. Particulars Balance as at Sr. Particulars Balance as at
No. end-March 2015 No. end-March 2015
116 8.10% West Bengal S. D. L. 2025 30.0 19 11.50% West Bengal S. D. L. 2011 β
117 8.08% West Bengal S. D. L. 2025 25.0 20 12.00% West Bengal S. D. L. 2011 β
118 8.10% West Bengal S. D. L. 2025 13.0 21 9.45% West Bengal S. D. L. 2011 β
TOTAL [A] 1,415.8 22 6.75% West Bengal S. D. L. 2013 β
Power Bonds 23 6.35% West Bengal S. D. L. 2013(II Sr) β
1 8.50% West Bengal Government Power Bonds April 2015 (03670) β 24 5.70% West Bengal S. D. L. 2014 β
25 7.32% West Bengal S. D. L. 2014 β
2 8.50% West Bengal Government Power Bonds October 2015 1.0
(03685) 26 7.36% West Bengal S. D. L. 2014 β
3 8.50% West Bengal Government Power Bonds April 2016 (03700) 1.0 27 5.85% West Bengal S. D. L. 2015(II SR) β
TOTAL[B] 2.0 28 7.02% West Bengal S. D. L. 2015 β
TOTAL[A+B] 1,417.8 TOTAL[D] β
Compensation Bonds TOTAL[A+B+C+D] 1,417.8
1 3.00% West Bengal Estate Acquisition Compensation Bonds β PUDUCHERRY
Loans Bearing Interest
2 5.00% ULC (West Bengal) Bonds 1976 β
1 7.90% Puducherry Government Stock 2018 1.8
TOTAL[C] β
2 8.40% Puducherry Government Stock 2018 1.6
TOTAL[A+B+C] 1,417.8
3 8.81% Puducherry Government Stock 2018 1.0
Loans Not Bearing Interest
4 8.48% Puducherry Government Stock 2019 β
1 7.50% West Bengal S. D. L. 1997 β
5 8.55% Puducherry Government Stock 2019 2.5
2 9.75% West Bengal Loan 1998 β
6 8.30% Puducherry Government Stock 2019 5.0
3 9.00% West Bengal S. D. L. 1999 β
7 8.41% Puducherry Government Stock 2020 2.0
4 8.75% West Bengal S. D. L. 2000 β
8 8.53% Puducherry Government Stock 2021 2.5
5 11.00% West Bengal S. D. L. 2001 β
9 8.47% Puducherry Government Stock 2021 1.5
6 11.00% West Bengal S. D. L. 2002 β
10 8.80% Puducherry Government Stock 2022 4.0
7 13.50% West Bengal S. D. L. 2003 β
11 9.03% Puducherry Government Stock 2022 1.3
8 12.50% West Bengal S. D. L. 2004 β
12 8.64% Puducherry Government Stock 2023 1.5
9 14.00% West Bengal S. D. L. 2005 β 13 8.57% Puducherry Government Stock 2023 1.5
10 13.75% West Bengal S. D. L. 2007 β 14 9.37% Puducherry Government Stock 2023 2.7
11 13.05% West Bengal S. D. L. 2007 β 15 9.25% Puducherry S. D. L. 2024 1.0
12 13.00% West Bengal S. D. L. 2007 β 16 9.38% Puducherry S. D. L. 2024 1.3
13 11.50% West Bengal S. D. L. 2008 β 17 8.81% Puducherry S. D. L. 2024 1.0
14 12.15% West Bengal S. D. L. 2008 β 18 8.89% Puducherry S. D. L. 2024 2.0
15 12.25% West Bengal S. D. L. 2009 β 19 8.46% Puducherry S. D. L. 2024 1.0
16 11.50% West Bengal S. D. L. 2009 β 20 8.15% Puducherry S. D. L. 2025 0.5
17 11.50% West Bengal S. D. L. 2010 β 21 8.07% Puducherry S. D. L. 2025 0.2
18 10.35% West Bengal S. D. L. 2011 β TOTAL[A] 35.9
βββ Nil/Negligible.
* Loans at Sr. No.1 to 52 in the list of βloans bearing interestβ, βNILβ loans in the list of β loans not bearing interest subsequent to reorganisationβ and βPower Bondsβ
is the liability of State Govt. of MP only. The rest of the loans pertains to public debt of the composite state of M.P to be bifurcated in the ratios as per Government
of India order FNo.9(2)-B(5)/2002 dated June 25, 2002.
** Loans at Sr. No.1 to 16 in the list of β loans bearing interestβ and NIL in the list of β loans not bearing interest subsequent to reorganisationβ and Power Bonds
is the liability of State Govt. of Chattisgarh only. The rest of the loans pertains to public debt of the composite state of M.P to be bifurcated in the ratios as per
Government of India order FNo.9(2)-B(5)/2002 dated June 25, 2002.
$ The loans at Sr. No.1 to 44 in the list of current loans & Power Bonds and Nil loans not bearing interest subsequent to reorganisation are the liability of state Govt.
of Bihar only. The rest of the loans pertains to the public debt of the composite state of Bihar, to be bifurcated in the population ratio of 74.71% & 25.29% for Bihar
& Jharkhand respectively.
$$ The loans at Sr. No.1 to 43 in the list of current loans & Power Bonds and Nil loans not bearing interest subsequent to reorganisation are the liability of State Govt.
of Jharkhand only.The rest of the loans pertains to public debt of the composite state of Bihar, to be bifurcated in the population ratio of 74.71% & 25.29% for Bihar
& Jharkhand respectively.
@ The loans at sr.no.1 to 89 in the list of current loans , βPower Bondsβ and loans at sr no.1 to 19 in the list of loans not bearing interest (sub. to reorg) is the liability
of State Govt. of U.P.only. The rest of the loans pertains to public debt of the composite state of U.P , to be bifurcated in the ratio of 94.9676% & 5.0324% for the
state of Uttar Pradesh & Uttarakhand respectively.
@@The loans at sr.no.1 to 37 in the list of current loans and βPower Bondsβ and NIL Loans under Loans not bearing Interest (subsequent to reoraganisation) is the
liability of State Govt. of Uttarakhand only. The rest of the loans pertains to public debt of the composite state of U.P , to be bifurcated in the ratio of 94.9676% &
5.0324% for the state of U.P & Uttarakhand respectively
118Statements
119
seitiruceS
tnemnrevoG
etatS
gnidnatstuO
fo
elfi
orP
ytirutaM
:32
tnemetatS
)5102
,13
hcraM
no
sa
gnidnatstuO(
)noillib
`(
latoT
52-4202
42-3202
32-2202
22-1202
12-0202
02-9102
91-8102
81-7102
71-6102
61-5102
setatS eht
fo
emaN
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
4.487
8.051
7.031
6.611
4.09
0.07
7.98
8.36
8.83
0.81
6.51
hsedarP
arhdnA
.1
5.973
0.18
0.56
0.17
0.04
0.62
0.03
0.43
9.01
0.9
7.21
rahiB
.2
9.89
0.24
0.03
0.51
β
β
0.7
β
β
0.3
8.1
hragsittahC
.3
0.35
0.8
9.9
5.8
5.5
0.3
0.6
0.5
0.4
5.1
7.1
aoG
.4
8.279
2.941
5.041
0.421
0.561
0.511
0.09
3.58
2.28
3.6
3.51
tarajuG
.5
5.625
0.611
5.411
3.39
6.36
5.44
0.04
0.33
0.8
4.4
3.9
anayraH
.6
0.881
5.94
5.92
0.63
5.21
0.5
4.81
9.41
9.11
3.4
9.5
dnahkrahJ
.7
6.616
0.581
0.051
0.03
0.57
0.02
0.06
2.47
5.7
2.2
7.21
akatanraK
.8
6.917
0.231
0.821
8.511
8.88
0.55
6.45
2.55
0.34
1.62
1.12
alareK
.9
5.134
0.301
0.05
0.54
0.04
0.93
2.85
0.54
8.81
5.51
1.71
hsedarP
ayhdaM
.01
9.3741
8.052
0.632
0.571
0.012
0.511
0.551
6.771
2.58
3.53
0.43
arthsarahaM
.11
6.54
0.01
β
β
β
β
0.02
β
β
6.6
1.9
ahsidO
.21
0.875
5.05
0.09
0.79
0.28
3.94
9.68
6.05
2.14
6.41
0.61
bajnuP
.31
9.316
0.321
0.88
4.08
0.54
8.16
0.57
6.36
9.93
3.71
9.91
nahtsajaR
.41
3.3021
5.342
0.591
0.081
0.541
8.111
0.621
5.801
4.94
6.22
5.12
udaN limaT
.51
0.465
2.111
4.39
4.38
6.46
0.05
1.46
6.54
7.72
8.21
2.11
anagnaleT
.61
7.6201
0.571
0.08
0.59
3.851
0.021
8.831
9.621
2.44
5.14
0.74
hsedarP rattU
.71
0.9141
0.912
0.012
0.502
9.122
0.59
5.561
0.421
1.611
0.23
5.03
lagneB tseW
.81
yrogetaC laicepS
.II
6.21
1.3
3.2
7.1
3.0
β
8.0
3.0
8.1
7.1
7.0
hsedarP
lahcanurA
.1
9.611
5.92
β
0.3
β
0.8
1.91
1.52
6.9
0.11
7.11
massA
.2
0.241
5.32
3.02
6.31
3.31
5.6
2.41
0.02
5.61
4.6
9.7
hsedarP
lahcamiH
.3
2.381
0.41
8.02
5.12
8.92
1.33
1.11
6.71
3.22
9.8
3.4
rimhsaK
& ummaJ
.4
7.92
6.4
5.3
8.2
5.1
6.2
0.5
0.3
5.2
5.1
7.2
rupinaM
.5
0.03
5.5
4.3
9.3
1.3
9.1
7.2
6.2
0.2
8.2
2.2
ayalahgeM
.6
1.02
3.2
6.2
9.1
0.3
7.2
6.1
6.1
1.1
0.2
4.1
maroziM
.7
5.74
0.6
4.5
6.6
1.5
6.3
8.5
7.4
7.3
4.3
4.3
dnalagaN
.8
4.81
3.3
2.2
9.0
4.0
β
3.3
9.2
5.2
7.1
2.1
mikkiS
.9
9.82
5.1
5.5
5.6
0.3
9.2
5.3
6.1
β
4.2
2.2
arupirT
.01
2.031
0.42
0.52
5.71
0.41
9.9
0.6
1.01
3.8
7.3
7.11
dnahkarattU
.11
7.09421
4.1232
4.6391
7.3561
3.6851
4.7501
2.3631
7.9911
4.207
2.813
9.153
setatS
llA
:meti
omeM
9.53
7.4
0.5
0.3
3.5
0.6
0.5
5.3
4.3
β
β
yrrehcuduP
.1
.elbigilgeN/liN
:βββ
.dedulcni
ton
era
sdnoB
rewoP
dna
tseretni
gniraeb
ton
snaoL
,sdnoB
noitasnepmoC
:etoN
.sdrocer
knaB
evreseR
:ecruoSState Finances : A Study of Budgets of 2015-16
120
latoT
ot
egatnecreP
sA
-
seitiruceS
tnemnrevoG
etatS
gnidnatstuO
fo
elfi
orP
ytirutaM
:42
tnemetatS
)5102
,13
hcraM
no
sa
gnidnatstuO(
)tnec
reP(
latoT
52-4202
42-3202
32-2202
22-1202
12-0202
02-9102
91-8102
81-7102
71-6102
61-5102
raeY/etatS
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
0.001
2.91
7.61
9.41
5.11
9.8
4.11
1.8
9.4
3.2
0.2
hsedarP
arhdnA
.1
0.001
3.12
1.71
7.81
5.01
9.6
9.7
0.9
9.2
4.2
3.3
rahiB
.2
0.001
5.24
3.03
2.51
β
β
1.7
β
β
1.3
9.1
hragsittahC
.3
0.001
1.51
7.81
0.61
4.01
7.5
3.11
4.9
5.7
8.2
1.3
aoG
.4
0.001
3.51
4.41
7.21
0.71
8.11
3.9
8.8
4.8
6.0
6.1
tarajuG
.5
0.001
0.22
7.12
7.71
1.21
5.8
6.7
3.6
5.1
8.0
8.1
anayraH
.6
0.001
3.62
7.51
2.91
7.6
7.2
8.9
9.7
3.6
3.2
2.3
dnahkrahJ
.7
0.001
0.03
3.42
9.4
2.21
2.3
7.9
0.21
2.1
4.0
1.2
akatanraK
.8
0.001
3.81
8.71
1.61
3.21
6.7
6.7
7.7
0.6
6.3
9.2
alareK
.9
0.001
9.32
6.11
4.01
3.9
0.9
5.31
4.01
3.4
6.3
0.4
hsedarP
ayhdaM
.01
0.001
0.71
0.61
9.11
2.41
8.7
5.01
1.21
8.5
4.2
3.2
arthsarahaM
.11
0.001
9.12
β
β
β
β
8.34
β
β
4.41
9.91
ahsidO
.21
0.001
7.8
6.51
8.61
2.41
5.8
0.51
8.8
1.7
5.2
8.2
bajnuP
.31
0.001
0.02
3.41
1.31
3.7
1.01
2.21
4.01
5.6
8.2
2.3
nahtsajaR
.41
0.001
2.02
2.61
0.51
1.21
3.9
5.01
0.9
1.4
9.1
8.1
udaN
limaT
.51
0.001
7.91
6.61
8.41
5.11
9.8
4.11
1.8
9.4
3.2
0.2
anagnaleT
.61
0.001
0.71
8.7
3.9
4.51
7.11
5.31
4.21
3.4
0.4
6.4
hsedarP
rattU
.71
0.001
4.51
8.41
4.41
6.51
7.6
7.11
7.8
2.8
3.2
1.2
lagneB
tseW
.81
yrogetaC
laicepS
.II
0.001
2.42
2.81
5.31
6.2
β
3.6
1.2
6.41
1.31
5.5
hsedarP
lahcanurA
.1
0.001
2.52
β
6.2
β
8.6
3.61
4.12
2.8
4.9
0.01
massA
.2
0.001
5.61
3.41
6.9
3.9
5.4
0.01
1.41
6.11
5.4
5.5
hsedarP
lahcamiH
.3
0.001
6.7
4.11
7.11
2.61
1.81
1.6
6.9
2.21
9.4
3.2
rimhsaK
& ummaJ
.4
0.001
6.51
8.11
2.9
0.5
7.8
9.61
2.01
3.8
1.5
2.9
rupinaM
.5
0.001
2.81
3.11
8.21
3.01
3.6
1.9
6.8
5.6
4.9
3.7
ayalahgeM
.6
0.001
4.11
9.21
2.9
9.41
3.31
7.7
8.7
7.5
2.01
0.7
maroziM
.7
0.001
6.21
3.11
8.31
6.01
5.7
2.21
8.9
8.7
1.7
3.7
dnalagaN
.8
0.001
9.71
7.11
1.5
2.2
β
8.71
9.51
6.31
2.9
5.6
mikkiS
.9
0.001
2.5
0.91
3.22
4.01
9.9
1.21
4.5
β
2.8
6.7
arupirT
.01
0.001
4.81
2.91
4.31
8.01
6.7
6.4
8.7
4.6
8.2
0.9
dnahkarattU
.11
0.001
6.81
5.51
2.31
7.21
5.8
9.01
6.9
6.5
5.2
8.2
setatS
llA
:meti
omeM
0.001
1.31
9.31
4.8
8.41
7.61
9.31
8.9
4.9
β
β
yrrehcuduP
.1
.elbigilgeN/liN
:βββ
.sdrocer
knaB
evreseR
:ecruoSStatements
121
slliB
yrusaerT
ni
gnidnatstuO
tnemtsevnI
:52
tnemetatS
)hcraM-dne
ta
sA(
)noillib
`( 5102
4102
3102
2102
1102
0102
9002
8002
7002
6002
5002
4002
3002
etatS
BTA
BTI
BTA
BTI
BTA
BTI
BTA
BTI
BTA
BTI
BTA
BTI
BTA
BTI
BTA
BTI
BTA
BTI
32
22
12
02
91
81
71
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
-
β
β
6.07
β
8.54
β
0.53
β
4.54
β
8.22
β
9.22
β
8.36
β
2.43
8.02
0.71
8.11
9.1
hsedarP
arhdnA
.1
0.4
2.53
0.4
3.63
β
5.02
β
0.4
β
7.22
β
2.34
β
5.93
β
5.44
4.5
7.61
5.82
5.82
0.3
4.9
rahiB
.2
-
β
β
9.51
6.0
2.62
2.2
1.51
9.1
4.23
β
1.41
5.01
9.7
9.21
4.61
0.41
2.11
8.8
4.3
7.2
9.5
hragsittahhC
.3
-
5.2
β
9.1
β
9.1
β
6.5
β
3.8
β
0.4
β
3.5
β
5.6
β
5.3
6.2
8.0
β
β
aoG
.4
-
1.411
β
3.901
0.53
3.98
β
4.221
0.01
4.27
β
8.55
β
5.47
β
2.28
0.03
1.12
2.43
3.2
9.2
5.7
tarajuG
.5
-
9.42
β
9.63
β
1.0
β
9.2
β
0.6
β
2.0
β
6.72
0.55
5.8
0.53
0.92
6.83
7.51
3.6
5.1
anayraH
.6
-
7.6
β
5.8
β
4.7
β
β
β
8.8
β
6.31
β
8.9
β
7.41
β
6.9
5.1
4.11
6.21
2.2
dnahkrahJ
.7
-
0.081
β
9.901
β
9.86
β
7.67
β
9.86
β
1.98
β
3.57
β
9.43
0.04
0.61
1.24
3.02
0.3
9.3
akatanraK
.8
-
4.1
β
6.7
β
0.23
β
1.72
β
1.53
β
3.23
β
8.52
β
4.8
β
3.8
5.1
β
β
β
alareK
.9
-
0.84
β
1.93
β
2.86
β
0.76
β
3.29
β
7.55
β
3.92
β
6.72
β
1.52
5.6
0.2
β
3.0
hsedarP
ayhdaM
.01
0.091
6.441
0.572
8.74
β
6.673
0.08
6.091
β
8.442
β
2.102
β
1.371
0.02
0.56
β
1.74
6.23
0.11
3.81
2.01
arthsarahaM
.11
-
2.83
β
8.83
0.03
6.34
0.03
1.93
0.5
5.15
β
8.74
β
1.36
4.01
2.84
0.02
2.62
2.71
5.6
0.1
β
ahsidO
.21
-
5.2
β
β
β
β
β
β
β
β
β
9.1
β
0.1
β
3.7
β
6.4
3.51
β
β
β
bajnuP
.31
0.76
3.12
1.18
0.22
0.67
3.15
0.88
1.7
1.44
6.41
β
8.62
β
7.25
6.52
9.33
5.32
β
1.81
3.9
8.1
β
nahtsajaR
.41
2.401
0.021
4.17
8.041
1.44
9.841
9.91
2.701
9.04
8.001
β
7.471
2.82
2.611
5.56
8.25
4.36
1.43
4.92
β
β
β
udaN limaT
.51
-
7.81
anagnaleT
.61
-
-
β
9.54
β
2.84
β
1.531
β
8.29
β
9.52
β
1.88
0.59
5.45
0.001
8.45
3.23
β
4.2
1.4
hsedarP
rattU
.71
-
5.72
β
3.15
0.001
9.44
β
8.03
β
β
β
0.6
β
2.91
β
2.12
β
4.11
0.33
4.9
β
β
lagneB tseW
.81
2.563
6.587
6.134
6.287
8.582
8.3701
1.022
4.568
9.101
7.698
β
7.418
7.83
3.138
4.482
3.095
4.133
8.253
9.263
4.731
8.56
8.64
)I(
latoT
yrogetaC
laicepS
.II
-
-
β
β
β
0.2
β
5.0
β
6.11
β
8.8
0.4
7.9
β
5.8
β
4.0
β
β
1.0
0.1
hsedarP
lahcanurA
.1
-
0.02
0.03
8.6
β
7.26
β
2.06
β
5.76
5.2
3.97
5.7
5.18
5.7
5.44
5.7
5.52
8.31
β
β
β
massA
.2
-
-
β
β
β
7.2
β
5.9
β
1.9
β
8.5
β
3.11
β
2.11
β
β
4.3
β
β
β
hsedarP
lahcamiH
.3
-
-
β
8.1
β
5.1
β
1.7
β
β
β
β
β
β
β
β
β
β
β
β
β
β
rimhsaK
& ummaJ
.4
-
3.1
β
2.3
β
β
β
β
β
5.1
β
9.5
β
4.8
β
2.6
β
2.3
4.1
β
β
β
rupinaM
.5
-
8.8
β
2.31
β
β
β
0.3
β
4.8
β
0.5
β
4.5
β
8.4
β
7.3
7.1
6.1
5.1
2.1
ayalahgeM
.6
-
1.1
β
3.0
β
β
β
β
β
8.0
β
3.0
β
0.2
β
7.2
β
β
8.0
1.1
1.0
4.0
maroziM
.7
-
4.1
β
β
β
β
β
β
β
7.2
β
1.3
β
7.1
β
8.0
β
β
β
β
3.0
5.2
dnalagaN
.8
0.42
9.21
β
5.53
β
1.32
β
0.11
β
6.6
β
6.2
β
6.7
0.3
8.5
0.3
4.5
8.4
0.3
1.0
0.1
arupirT
.9
-
9.5
β
0.8
β
6.5
β
5.0
β
β
β
β
β
β
β
β
β
3.1
2.1
β
8.0
1.3
dnahkarattU
.01
0.42
4.15
0.03
6.86
β
4.79
β
9.19
β
3.801
5.2
9.011
5.11
5.721
5.01
5.48
5.01
4.93
0.72
7.5
8.2
2.9
)II(
latoT
2.983
0.738
6.164
3.158
8.582
2.1711
1.022
3.759
9.101
0.5001
5.2
6.529
2.05
8.859
9.492
8.476
9.143
2.293
8.983
1.341
6.86
9.55
)II+I( latoT
dnarG
:meti
omeM
1.5
9.4
3.1
6.01
β
4.9
β
6.8
β
β
β
β
β
β
β
β
β
β
β
β
β
β
yrrehcuduP
.1
.slliB
yrusaerT
noitcuA
:BTA
slliB
yrusaerT
etaidemretnI
:BTI
liN
: βββ
.sdrocer
knaB
evreseR
:ecruoSState Finances : A Study of Budgets of 2015-16
122
erutidnepxE
etagerggA
ot
oitaR
sA
-
*noitacudE
no
erutidnepxE
:62
tnemetatS
)tnec
reP(
61-5102
51-4102
41-3102
31-2102
21-1102
11-0102
01-9002
90-8002
80-7002
70-6002
60-5002
50-4002
40-3002
30-2002
20-1002
10-0002
etatS
)EB(
)ER(
71
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
2.61
3.31
7.31
9.21
0.31
5.21
0.01
0.9
0.9
8.01
1.11
8.9
6.11
7.11
5.21
3.31
hsedarP
arhdnA
.1
6.81
8.91
7.81
9.02
0.71
3.61
1.81
5.81
6.71
7.91
6.91
8.51
9.81
4.81
7.02
7.32
rahiB
.2
4.91
5.02
0.81
3.61
7.71
6.81
6.51
4.41
5.31
9.21
4.31
3.21
8.01
0.11
4.21
1.31
hragsittahhC
.3
8.41
7.41
7.51
4.51
8.41
4.51
1.41
3.31
3.21
7.31
3.21
9.31
1.21
0.21
5.01
9.11
aoG
.4
0.51
7.41
0.51
3.41
8.51
9.51
8.31
7.11
4.31
7.21
6.21
5.11
2.11
5.31
7.21
6.31
tarajuG
.5
4.71
2.71
4.51
4.51
0.61
3.71
3.61
0.51
9.21
9.11
4.31
6.11
2.01
7.31
8.31
6.41
anayraH
.6
8.51
4.41
5.31
8.41
9.51
8.51
4.51
6.81
1.51
2.51
8.51
9.41
2.41
0.91
2.61
-
dnahkrahJ
.7
4.41
8.51
0.51
5.51
7.41
6.51
0.41
1.61
4.41
1.31
0.41
7.21
9.21
8.41
0.61
7.71
akatanraK
.8
6.61
2.61
2.71
2.71
7.71
0.71
8.61
7.61
9.51
1.71
6.61
2.61
7.51
6.71
0.91
0.02
alareK
.9
9.51
1.51
4.51
2.31
4.21
2.41
0.31
8.21
1.11
4.21
2.01
8.8
9.9
2.21
5.21
3.61
hsedarP
ayhdaM
.01
1.91
3.81
5.02
7.02
2.02
8.02
1.91
0.71
2.71
4.61
7.51
0.41
5.51
9.81
1.22
3.22
arthsarahaM
.11
8.41
0.51
0.51
5.51
4.61
3.81
2.81
9.61
3.41
8.21
7.41
6.21
2.21
3.41
6.41
9.51
ahsidO
.21
3.51
1.51
2.41
3.51
8.41
7.11
2.21
3.11
3.01
9.8
3.11
1.01
2.01
1.21
7.11
2.31
bajnuP
.31
3.71
4.61
3.61
1.61
8.71
1.91
0.91
9.71
6.41
6.51
2.71
8.31
1.41
5.51
2.81
8.81
nahtsajaR
.41
4.41
9.41
0.61
7.41
3.41
2.51
2.51
1.31
7.21
2.21
6.31
2.11
6.21
8.31
3.71
0.81
udaN
limaT
.51
0.01
8.01
-
-
-
-
-
-
-
-
-
-
-
-
-
-
anagnaleT
.61
9.61
6.41
0.61
3.71
1.71
1.61
8.31
2.31
1.41
7.41
2.51
5.21
1.9
6.41
0.61
8.61
hsedarP
rattU
.71
4.81
8.51
2.71
1.81
1.91
7.91
7.71
1.31
2.51
2.51
7.31
9.41
8.11
9.51
2.61
1.71
lagneB
tseW
.81
yrogetaC
laicepS
.II
6.31
1.51
5.11
2.21
4.11
8.01
2.21
4.11
8.01
7.01
9.9
7.01
1.9
1.21
3.31
4.6
hsedarP
lahcanurA
.1
5.02
2.02
6.22
6.02
3.02
0.22
4.61
8.81
1.02
4.02
8.02
0.71
3.22
4.22
9.12
5.52
massA
.2
7.81
8.81
8.71
3.71
8.71
9.71
3.61
2.61
4.51
1.41
1.41
5.31
4.21
5.41
2.61
0.71
hsedarP
lahcamiH
.3
5.21
5.21
0.31
1.21
6.21
7.21
3.11
0.01
2.9
0.01
3.9
7.9
1.11
9.01
6.11
1.11
rimhsaK
dna ummaJ
.4
3.31
2.51
8.21
7.11
6.01
7.01
9.11
0.21
2.41
9.11
4.51
3.51
1.31
3.31
7.31
2.02
rupinaM
.5
4.51
8.72
6.61
8.51
3.71
1.61
8.41
8.21
5.51
1.41
5.51
0.51
2.51
3.51
9.71
6.61
ayalahgeM
.6
4.51
4.61
1.71
7.51
7.51
9.41
9.41
1.41
2.31
8.31
4.31
8.31
0.21
5.41
0.61
2.61
maroziM
.7
9.51
0.51
3.51
2.31
1.21
4.31
3.11
2.11
4.11
3.21
6.11
0.11
8.01
0.11
0.11
8.31
dnalagaN
.8
0.61
8.21
6.51
0.51
0.41
3.71
4.21
6.01
2.9
5.01
4.01
8.8
8.11
6.7
0.8
2.41
mikkiS
.9
2.41
5.41
4.61
9.51
0.71
2.71
2.61
4.41
1.51
9.51
3.51
0.02
3.81
2.91
6.81
3.91
arupirT
.01
6.81
1.81
3.02
7.02
1.22
5.32
6.22
2.81
6.71
1.81
2.71
4.81
6.71
0.02
1.12
5.12
dnahkarattU
.11
4.61
9.51
5.61
4.61
3.61
6.61
3.51
3.41
8.31
0.41
2.41
7.21
6.21
1.51
2.61
4.71
setatS
llA
8.2
9.2
5.2
5.2
5.2
5.2
4.2
3.2
2.2
2.2
2.2
3.2
3.2
5.2
6.2
8.2
)PDG
ot
tnec
reP(
setatS
llA
:meti
omeM
8.32
7.91
1.81
3.81
0.81
3.61
3.61
8.51
3.31
1.51
9.41
1.31
9.01
1.21
7.31
1.51
ihleD
TCN
.1
9.21
4.11
9.11
5.41
0.31
2.31
2.31
4.21
0.01
9.9
7.01
-
-
-
-
-
yrrehcuduP
.2
.elbaliava
toN/elbacilppa
toN
:βββ
.setamitsE
tegduB
:EB
.setamitsE
desiveR
:ER
.yaltuo
latipac
dna
erutidnepxe
eunever
rednu
erutluC
dna
trA
,stropS
no
erutidnepxe
sedulcnI
:*
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnmenrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSStatements
123
erutidnepxE
etagerggA
ot
oitaR
sA
-
*erafleW
ylimaF
dna
htlaeH
cilbuP
dna
lacideM
no
erutidnepxE
:72
tnemetatS
)tnec
reP(
61-5102
51-4102
41-3102
31-2102
21-1102
11-0102
01-9002
90-8002
80-7002
70-6002
60-5002
50-4002
40-3002
30-2002
20-1002
10-0002
etatS
)EB(
)ER(
71
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
2.5
9.3
3.4
2.4
4.4
1.4
9.3
6.3
3.3
3.3
4.3
2.3
7.3
0.4
4.4
7.4
hsedarP arhdnA
.1
1.4
0.4
2.3
5.3
5.3
3.3
5.3
5.3
4.4
2.4
5.4
1.3
8.3
2.4
9.4
9.5
rahiB
.2
9.4
2.5
9.3
7.3
8.3
6.3
7.3
5.3
2.3
5.3
4.3
3.3
3.3
0.4
3.4
1.4
hragsittahhC
.3
6.5
6.5
7.5
8.5
8.5
6.5
3.5
4.5
6.4
6.4
9.4
7.4
5.4
0.4
8.3
4.4
aoG
.4
7.5
7.5
9.4
7.4
2.4
2.4
8.3
1.3
2.3
9.2
1.3
8.2
7.2
2.3
8.2
4.3
tarajuG
.5
2.4
1.4
6.3
4.3
1.3
2.3
4.3
9.2
6.2
5.2
1.3
7.2
4.2
3.3
0.3
3.3
anayraH
.6
3.5
8.4
8.3
1.3
8.3
1.4
4.4
1.5
0.5
3.6
9.6
7.3
1.4
2.4
9.4
-
dnahkrahJ
.7
4.4
7.4
1.4
1.4
9.3
9.3
6.3
8.3
8.3
1.3
3.3
0.3
4.3
2.4
9.4
1.5
akatanraK
.8
6.5
1.6
2.5
2.5
4.5
1.5
8.4
8.4
5.4
9.4
7.4
5.4
3.4
8.4
8.5
3.5
alareK
.9
4.4
4.4
8.3
0.4
2.3
6.3
3.3
4.3
5.3
8.3
4.3
1.3
3.3
1.4
1.4
1.5
hsedarP ayhdaM
.01
2.4
8.4
9.3
9.3
6.3
6.3
3.3
5.3
5.3
1.3
2.3
7.2
2.3
7.3
3.4
9.3
arthsarahaM
.11
5.4
9.4
5.3
7.3
2.3
5.3
8.3
5.3
3.3
1.3
0.3
0.4
2.3
8.3
7.3
2.4
ahsidO
.21
9.4
7.4
1.4
3.4
3.4
3.3
2.3
0.3
9.2
7.2
4.3
9.2
0.3
5.3
9.3
5.4
bajnuP
.31
8.6
9.5
0.5
8.4
1.5
8.4
8.4
8.4
0.4
1.4
4.4
7.3
0.4
2.4
2.5
2.5
nahtsajaR
.41
4.4
7.4
5.4
4.4
0.4
8.4
8.4
7.3
3.3
3.3
2.4
2.3
8.3
1.4
9.4
9.4
udaN
limaT
.51
5.4
1.4
-
-
-
-
-
-
-
-
-
-
-
-
-
-
anagnaleT
.61
5.5
3.5
6.4
0.5
4.4
8.4
0.5
7.4
8.4
7.5
1.5
8.3
7.2
8.3
6.3
0.4
hsedarP
rattU
.71
5.4
7.4
5.4
2.4
8.4
8.4
8.4
6.3
0.4
1.4
9.3
2.4
7.3
9.4
0.5
6.5
lagneB
tseW
.81
yrogetaC
laicepS
.II
2.5
7.5
4.4
3.4
4.4
3.4
2.4
3.4
8.3
4.4
1.3
5.4
5.3
5.4
9.4
0.5
hsedarP
lahcanurA
.1
8.4
7.4
6.4
6.4
9.4
2.5
7.5
0.5
3.4
2.4
4.3
9.2
5.3
7.3
2.4
7.4
massA
.2
0.6
8.5
1.5
9.4
8.4
1.5
8.4
5.4
4.4
4.4
6.4
6.4
3.4
5.4
9.4
6.5
hsedarP
lahcamiH
.3
8.5
4.5
4.5
1.5
2.5
1.5
2.5
8.4
3.5
4.5
5.4
9.4
5.5
2.5
5.5
9.4
rimhsaK
dna ummaJ
.4
1.5
6.5
7.5
9.4
7.5
0.5
4.4
5.3
1.4
7.2
0.3
6.2
2.3
9.2
4.3
8.4
rupinaM
.5
1.6
1.5
6.6
5.6
4.5
2.6
0.6
4.4
4.5
1.5
5.5
9.4
5.5
9.5
6.6
6.5
ayalahgeM
.6
4.5
0.6
7.4
1.4
2.4
2.4
1.7
1.6
9.3
6.3
5.3
3.4
0.5
0.5
4.5
4.5
maroziM
.7
9.4
4.5
2.4
1.4
3.4
3.4
9.3
8.3
3.4
2.4
3.4
7.5
0.4
6.4
1.4
2.5
dnalagaN
.8
2.6
4.5
7.5
2.6
7.5
4.4
5.3
0.3
6.2
5.2
8.2
6.2
9.2
0.2
2.2
7.3
mikkiS
.9
4.5
9.6
2.5
4.4
3.5
4.4
8.4
8.4
0.5
1.5
7.4
5.3
4.3
8.3
7.3
0.4
arupirT
.01
5.5
8.5
9.4
9.4
9.4
9.4
9.3
5.4
6.4
8.4
6.4
9.3
4.3
8.3
4.4
1.3
dnahkarattU
.11
9.4
9.4
4.4
3.4
2.4
2.4
2.4
9.3
8.3
9.3
9.3
4.3
4.3
0.4
4.4
6.4
setatS
llA
9.0
9.0
7.0
7.0
6.0
6.0
7.0
6.0
6.0
6.0
6.0
6.0
6.0
7.0
7.0
7.0
)PDG
ot tnec rep(
setatS
llA
:meti
omeM
6.11
9.11
7.8
2.9
9.9
3.9
0.8
2.8
2.7
5.8
2.8
6.6
0.6
3.6
7.6
2.7
ihleD
TCN
.1
9.8
5.7
1.7
4.8
9.8
1.7
7.7
1.6
9.7
6.7
4.5
-
-
-
-
-
yrrehcuduP
.2
.elbaliava
toN/elbacilppa
toN
:βββ
.setamitsE
tegduB
:EB
.setamitsE
desiveR
:ER
.yaltuo
latipac
dna
erutidnepxe
eunever
sedulcni
tI :*
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnmenrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSState Finances : A Study of Budgets of 2015-16
124
stnemnrevoG
etatS
fo
seetnarauG
gnidnatstuO
:82
tnemetatS
)hcraM-dne
ta
sA(
)noillib
`(
61-5102
51-4102
41-3102
31-2102
21-1102
11-0102
01-9002
90-8002
80-7002
70-6002
60-5002
50-4002
40-3002
30-2002
20-1002
etatS
)EB(
)ER(
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
β
5.831
4.213
7.151
5.001
4.611
6.251
5.761
7.861
6.471
0.471
1.771
2.351
4.351
4.201
hsedarP
arhdnA
.1
β
β
β
β
β
β
β
β
β
β
β
β
β
β
β
hsedarP
lahcanurA
.2
β
β
β
1.1
β
5.2
0.3
0.8
β
6.8
2.21
1.6
2.01
0.11
5.81
massA
.3
β
β
β
9.01
7.6
4.6
β
β
6.5
2.6
9.5
7.11
0.9
9.7
0.01
rahiB
.4
β
0.7
5.71
7.42
2.22
2.11
2.11
5.71
9.21
0.24
2.41
2.6
0.3
7.2
2.0
hragsittahhC
.5
β
β
β
β
β
β
β
β
0.5
β
β
β
β
β
β
aoG
.6
β
β
β
9.36
2.67
2.88
8.99
4.301
6.511
0.721
8.041
8.651
2.671
0.091
2.781
tarajuG
.7
β
β
1.372
3.702
0.65
3.54
4.54
8.54
0.72
7.05
3.65
1.24
7.85
8.67
0.68
anayraH
.8
β
β
β
2.13
6.72
6.82
5.91
6.91
9.52
3.12
5.53
2.34
1.64
5.12
1.14
hsedarP
lahcamiH
.9
β
β
β
β
β
β
4.03
4.52
1.79
β
β
7.05
3.63
3.01
3.01
rimhsaK
dna ummaJ
.01
6.1
6.1
6.1
β
β
β
β
β
β
β
β
β
β
β
β
dnahkrahJ
.11
β
3.011
8.77
9.66
4.66
2.66
5.96
8.18
9.301
3.79
8.88
5.471
8.141
1.331
5.811
akatanraK
.21
5.911
6.111
6.79
0.19
8.28
3.47
0.57
0.67
2.38
1.49
4.911
2.321
1.041
2.621
4.911
alareK
.31
β
6.031
β
1.65
7.05
8.94
β
1.91
β
0.75
9.631
4.49
7.99
7.69
7.69
hsedarP
ayhdaM
.41
β
β
1.77
9.39
1.311
4.051
2.371
0.312
9.063
9.924
7.495
2.885
7.076
0.083
2.553
arthsarahaM
.51
β
β
β
1.91
8.1
β
9.1
2.2
1.2
9.1
2.2
β
β
β
β
rupinaM
.61
β
β
β
β
β
1.11
β
β
β
β
β
β
β
β
β
ayalahgeM
.71
β
β
β
β
β
0.1
0.1
2.1
β
3.1
β
β
β
β
β
maroziM
.81
β
β
β
7.0
5.0
2.0
β
β
β
β
β
β
β
β
β
dnalagaN
.91
β
7.61
1.71
5.22
1.52
7.02
3.01
9.31
7.12
5.62
0.53
2.83
8.15
0.55
1.35
ahsidO
.02
β
β
β
4.426
3.064
β
9.233
0.58
2.011
β
3.29
9.501
9.921
3.681
5.16
bajnuP
.12
β
β
β
β
1.706
9.605
7.093
7.772
7.791
1.741
0.131
0.721
4.271
2.841
1.921
nahtsajaR
.22
β
β
β
9.1
6.1
β
8.0
β
8.0
8.0
β
β
β
β
β
mikkiS
.32
β
β
0.594
7.042
2.122
β
6.95
2.45
1.65
5.85
3.36
8.77
2.801
2.911
0.021
udaN limaT
.42
9.761
9.761
β
β
β
β
β
β
β
β
β
β
β
β
β
anagneleT
.52
β
β
β
9.1
2.1
0.1
3.0
3.0
4.0
4.0
5.0
β
β
β
β
arupirT
.62
β
β
0.396
9.353
5.492
β
2.271
2.902
6.331
4.721
6.011
3.48
6.38
0.63
7.26
hsedarP rattU
.72
3.81
7.41
7.41
7.51
4.71
β
1.51
β
β
4.71
β
β
β
β
β
dnahkarattU
.82
β
2.39
5.54
2.76
8.77
3.27
9.301
2.021
8.631
4.131
2.531
5.141
4.011
3.301
4.67
lagneB tseW
.92
3.703
2.297
4.221,2
6.641,2
4.313,2
5.252,1
2.867,1
8.045,1
1.566,1
3.126,1
5.849,1
6.240,2
3.891,2
1.558,1
1.846,1
latoT
1.0
5.0
9.1
1.2
5.2
6.1
7.2
7.2
3.3
8.3
3.5
3.6
0.8
6.7
2.7
PDG fo tnec
reP
:meti omeM
β
β
β
β
β
β
β
β
β
β
β
β
β
β
β
ihleD TCN
.1
β
β
β
β
β
β
β
β
β
β
β
β
β
β
β
yrrehcuduP
.2
.elbaliava toN
:βββ
.stnemnrevog
etats
eht
morf
deviecer
noitamrofnI
:ecruoSStatements
125
seiralaS
dna
segaW
no
erutidnepxE
:92
tnemetatS
)noillib
`
ni
tnuomA(
61-5102
51-4102
41-3102
31-2102
21-1102
11-0102
01-9002
90-8002
80-7002
70-6002
60-5002
50-4002
40-3002
30-2002
20-1002
etatS
)EB(
)ER(
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
6.013
5.693
5.323
7.752
2.862
4.432
1.471
8.241
0.031
3.911
7.201
3.88
2.78
0.18
7.18
**hsedarP
arhdnA
.1
β
β
β
3.22
4.02
β
β
β
β
β
β
β
β
β
β
hsedarP
lahcanurA
.2
β
β
β
4.531
5.611
β
β
β
β
2.74
4.44
6.04
8.83
5.63
1.43
massA
.3
β
β
β
8.931
0.521
β
β
β
β
β
β
1.05
2.05
7.05
8.25
$rahiB
.4
5.611
8.601
4.19
9.67
4.47
1.46
4.111
7.63
7.92
0.52
9.22
0.12
6.02
5.91
2.91
hragsittahhC
.5
β
β
β
4.681
6.471
7.851
5.201
6.68
2.18
0.82
1.72
7.52
5.52
6.42
1.32
tarajuG
.6
6.071
1.741
9.211
2.601
0.69
2.59
1.38
5.36
7.44
3.04
4.73
6.43
4.13
6.13
2.92
anayraH
.7
β
β
β
9.26
6.45
9.25
8.04
4.43
2.13
8.72
4.42
0.22
5.12
6.02
8.81
hsedarP
lahcamiH
.8
7.19
5.97
7.76
5.46
6.26
β
5.45
β
β
5.52
β
β
β
β
β
dnahkrahJ
.9
9.522
1.022
1.871
8.061
4.511
9.011
0.301
3.99
1.48
5.56
0.95
9.35
2.35
4.94
7.94
*akatanraK
.01
5.962
4.322
2.691
6.571
9.261
1.211
3.99
8.19
9.77
6.66
8.65
2.45
4.15
5.74
6.24
alareK
.11
3.852
5.322
7.381
2.261
9.051
9.231
1.601
5.58
8.96
4.36
4.06
0.26
9.94
1.35
3.94
hsedarP
ayhdaM
.21
1.227
1.766
4.106
1.735
0.854
5.024
9.214
2.123
6.572
2.242
2.822
8.602
3.691
0.581
8.481
arthsarahaM
.31
β
β
β
6.32
2.22
β
5.11
9.01
1.9
1.8
7.8
1.7
8.6
8.6
7.6
rupinaM
.41
β
β
β
β
4.61
9.41
β
β
β
β
β
β
β
β
β
ayalahgeM
.51
β
β
β
β
β
3.41
β
β
β
2.6
4.5
6.5
0.5
9.4
7.4
maroziM
.61
β
β
β
7.61
0.32
8.02
9.41
9.21
0.21
5.01
8.9
0.8
7.7
2.7
3.7
dnalagaN
.71
6.381
0.271
6.921
7.611
0.801
6.701
8.29
0.57
4.35
3.64
5.34
7.04
0.04
3.93
4.73
ahsidO
.81
3.712
2.502
6.771
8.961
0.421
β
β
β
β
β
β
β
β
β
β
bajnuP
.91
β
β
β
0.671
5.851
7.541
3.041
0.711
9.97
9.27
2.86
6.26
5.75
8.25
0.35
## nahtsajaR
.02
β
β
β
9.11
1.11
β
β
β
β
3.4
0.5
5.4
5.4
3.4
0.4
mikkiS
.12
2.14
0.673
6.813
0.672
0.862
3.832
9.491
0.061
6.121
0.701
8.98
1.58
7.97
8.97
6.28
udaN limaT
.22
9.822
3.191
β
β
β
β
β
β
β
β
β
β
β
β
β
anagneleT
.32
β
β
β
7.42
1.32
β
β
β
β
β
β
β
β
β
β
arupirT
.42
4.124
3.253
9.003
5.192
2.372
β
5.333
6.832
9.111
7.89
6.09
2.48
4.08
0.47
6.96
hsedarP rattU
.52
1.99
7.98
7.27
1.76
8.06
β
8.84
6.82
3.52
7.22
β
β
β
β
β
dnahkarattU
.62
9.633
4.513
3.492
4.382
8.962
5.942
2.312
7.731
1.221
8.801
9.101
0.89
5.49
7.29
0.39
lagneB tseW
.72
0.496,3
0.667,3
5.840,3
1.5453
6.7323
8.271,2
7.733,2
2.247,1
4.953,1
1.632,1
0.680,1
7.450,1
9.100,1
1.169
5.349
latoT
:meti
omeM
5.17
4.85
9.15
6.74
β
β
β
β
β
β
β
4.41
8.21
7.11
1.11
#ihleD
TCN
.1
β
β
β
2.21
β
β
2.01
9
1.7
7.4
4.4
8.3
5.3
9.2
β
yrrehcuduP
.2
.setamitsE
desiveR
:ER
.setamitsE
tegduB
:EB
.elbacilppa
toN/elbaliava
toN
: βββ
.rahiB
detacrufib
ot
etaler
20-1002
ecnis serugiF
: $
erutidnepxe
yralas
ot etaleR
: *
.erutidnepxe
yralas
ot
etaler
sdrawno
80-7002
morf
hsedarP
arhdnA
fo
tcepser
ni serugiF
: **
.seeyolpme
fo
noitasnepmoc
ot
etaler
99-8991
ecnis serugiF
: #
.tnuocca
eunever
ylnO
: ##
.setamitse
tegduB
era
01-9002
elihw
setamitsE
desiveR
ot
setaler
90-8002
rof
dnahkarattU
dna
arthsarahaM
fo
tcepser
ni ataD
:etoN
.stnemnrevog
etats
evitcepser
morf
deviecer
noitamrofnI
:ecruoSState Finances : A Study of Budgets of 2015-16
126
ecnanetniaM
dna
snoitarepO
no
erutidnepxE
:03
tnemetatS
)noillib
`
ni
tnuomA(
61-5102
51-4102
41-3102
31-2102
21-1102
11-0102
01-9002
90-8002
80-7002
70-6002
60-5002
50-4002
40-3002
30-2002
20-1002
etatS
)EB(
)ER(
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
5.94
3.25
2.87
8.02
7.48
4.84
7.98
6.09
5.85
1.74
8.83
3.83
3.83
2.13
0.92
hsedarP
arhdnA
.1
β
β
β
β
5.1
β
β
β
β
β
β
β
β
β
β
hsedarP
lahcanurA
.2
β
β
β
4.53
5.24
β
β
β
β
6.3
4.5
1.5
7.3
3.3
2.3
massA
.3
β
β
β
9.45
8.42
β
β
β
β
β
β
β
β
β
β
rahiB
.4
9.7
3.8
1.9
1.7
8.5
0.4
1.5
5.4
8.3
3.3
1.1
9.1
1.2
2.2
2.1
hragsittahhC
.5
β
β
β
4.8
1.6
2.6
3.32
9.9
0.31
4.6
9.7
8.31
8.12
2.41
1.9
tarajuG
.6
3.81
2.71
5.81
5.8
4.61
9.8
8.9
2.9
9.9
5.7
6.4
5.3
1.4
2.3
6.2
anayraH
.7
β
β
β
2.81
9.61
7.51
4.01
1.8
6.6
9.5
8.4
5.3
8.3
7.2
0.3
$hsedarP
lahcamiH
.8
0.93
0.27
1.34
9.311
7.101
β
8.1
β
β
β
β
β
β
β
β
dnahkrahJ
.9
5.82
5.62
7.22
0.91
4.41
9.7
6.6
7.6
7.6
6.8
5.4
8.2
5.2
9.0
9.0
akatanraK
.01
7.01
5.11
2.9
8.8
1.8
0.8
9.6
5.6
5.6
5.5
0.5
3.4
5.3
5.3
9.2
@alareK
.11
7.91
5.02
9.61
7.41
1.01
8.6
4.6
9.6
2.7
6.4
7.2
5.2
0.2
1.3
7.3
$hsedarP
ayhdaM
.21
6.39
7.411
3.39
5.77
3.36
5.46
4.951
9.132
0.481
0.581
0.061
5.321
3.29
3.68
4.47
*arthsarahaM
.31
β
β
β
6.71
7.71
β
9.4
4.5
7.4
0.5
6.3
9.2
5.2
4.3
3.2
rupinaM
.41
β
β
β
β
β
0.2
β
β
β
β
β
β
β
β
β
ayalahgeM
.51
β
β
β
β
β
6.62
β
β
β
7.3
7.1
3.1
3.1
2.1
6.0
maroziM
.61
β
β
β
2.2
5.7
4.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
1.0
1.0
dnalagaN
.71
2.94
0.54
2.93
6.33
1.62
9.22
4.91
2.81
0.61
1.21
7.6
8.4
2.4
4.4
2.4
ahsidO
.81
3.2
1.1
6.1
β
β
β
β
β
β
β
β
β
β
β
bajnuP
.91
β
β
β
β
3.72
9.12
7.02
2.02
6.61
2.51
7.21
2.21
4.11
2.11
5.8
nahtsajaR
.02
β
β
β
3.81
5.0
β
β
β
β
6.22
5.71
5.61
1.71
2.51
0.41
mikkiS
.12
6.3
8.801
0.09
9.48
7.36
6.64
3.74
2.14
7.04
2.73
4.93
6.13
7.42
4.12
8.61
udaN limaT
.22
0.631
5.67
β
β
β
β
β
β
β
β
β
β
β
β
β
anagneleT
.32
β
β
β
6.1
1.2
β
β
β
β
β
β
β
β
β
β
arupirT
.42
3.75
9.75
5.38
2.74
0.73
β
0.53
4.43
7.72
7.62
6.61
8.31
1.11
3.01
5.7
hsedarP
rattU
.52
6.9
1.21
8.11
3.8
3.1
β
8.2
9.2
0.3
9.0
β
β
β
β
β
dnahkarattU
.62
8.12
3.02
7.61
2.21
6.11
9.8
1.21
7.11
7.01
6.12
0.61
3.21
7.01
2.01
2.41
lagneB
tseW
.72
8.445
6.346
2.235
1.316
1.195
7.992
7.164
7.805
7.514
6.224
4.943
7.492
3.752
0.822
3.891
latoT
:meti omeM
β
β
β
β
β
β
β
β
β
β
β
6.1
4.1
4.1
3.1
#ihleD TCN
.1
β
β
β
2.0
β
β
β
β
β
β
β
β
β
β
β
yrrehcuduP
.2
.setamitsE
desiveR
:ER
.setamitsE
tegduB
:EB
elbacilppa
toN/elbaliava
toN
: βββ
.ecnanetniam
ot setaleR
: $
.ecnanetniam
dna
riaper
ot
etaler ataD
: #
.segrahc
rehtO
dna
segrahc
leuF
,selciheV
rotoM
,ecnanetniaM
,seilppuS
dna
slairetaM
,tnempiuqE
dna
yrenihcaM
,skroW
roniM
,tneR
,sesnepxE
ec
fifO
,sesnepxE
levarT
edulcnI
: @
.esnepsus
dna
βyralas-non
dia-ni-stnargβ
,seilppus
dna
lairetam
,tnempiuqe
dna
yrenihcam
,stnalp
dna
sloot
,skrow
ecnanetniam
rednu
erutidnepxe
edulcnI
: *
.stnemnrevog
etats
evitcepser
morf
deviecer
noitamrofnI
:ecruoSStatements
127
*erutidnepxE
rotceS
laicoS
:13
tnemetatS
)noillib
`
ni
tnuomA(
61-5102
51-4102
41-3102
31-2102
21-1102
11-0102
01-9002
90-8002
80-7002
70-6002
60-5002
50-4002
40-3002
30-2002
20-1002
10-0002
etatS
)EB(
)ER(
71
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
5.425
5.164
4.735
4.494
0.454
3.193
8.203
4.413
7.442
5.681
0.941
2.831
7.331
8.111
8.801
1.001
hsedarP
arhdnA
.1
4.165
8.076
2.943
4.703
5.042
7.391
7.871
4.361
2.831
3.111
6.68
2.16
2.07
7.46
8.75
1.47
rahiB
.2
5.373
5.303
5.012
7.961
1.841
2.811
8.611
7.88
5.96
1.75
0.34
3.63
4.23
2.82
3.42
7.9
hragsittahhC
.3
8.64
0.83
2.92
0.52
0.32
9.02
9.71
6.41
2.11
1.01
8.8
0.8
9.6
3.6
4.5
2.5
aoG
.4
0.975
8.915
8.814
6.083
5.303
9.582
7.132
8.181
9.841
0.131
9.901
3.101
9.98
8.18
3.09
8.69
tarajuG
.5
9.703
7.662
0.181
9.981
7.261
4.631
6.331
1.89
4.37
0.65
4.74
0.53
2.82
1.82
8.63
9.33
anayraH
.6
6.372
3.542
1.711
3.021
2.701
0.321
4.001
7.89
8.97
9.37
6.16
3.15
2.34
0.94
3.73
0.0
dnahkrahJ
.7
5.475
4.765
9.514
3.873
7.323
9.682
0.152
4.402
4.671
1.441
8.611
6.79
2.38
7.57
4.67
4.57
akatanraK
.8
7.563
0.413
5.932
5.612
4.781
2.631
3.021
6.801
1.09
9.17
2.57
4.37
2.95
4.36
3.94
4.25
alareK
.9
9.295
3.575
4.753
7.333
3.172
5.432
3.671
9.641
0.621
6.601
3.49
7.27
9.76
6.17
1.06
5.17
hsedarP
ayhdaM
.01
2.001,1
2.300,1
0.287
3.007
3.116
3.835
6.374
0.563
2.792
8.282
7.242
3.402
8.881
0.751
5.451
3.451
arthsarahaM
.11
4.473
7.943
1.842
6.691
5.081
4.251
2.521
9.011
0.28
3.16
9.35
0.64
6.34
1.24
2.14
6.04
ahsidO
.21
1.581
1.871
8.031
6.521
7.99
5.38
1.17
6.86
9.94
1.74
5.04
5.73
3.53
9.92
3.73
9.83
bajnuP
.31
7.376
4.995
0.914
0.733
5.872
9.722
8.512
3.491
8.641
8.521
2.901
4.89
3.29
3.08
3.77
2.27
nahtsajaR
.41
8.907
8.286
2.155
5.764
0.914
9.463
5.392
9.862
9.991
2.961
0.341
2.631
9.511
6.69
9.19
2.69
udaN
limaT
.51
3.115
4.464
β
β
β
β
β
β
β
β
β
β
β
β
β
β
anagnaleT
.61
7.161,1
4.220,1
6.567
4.476
2.795
7.605
5.274
1.593
1.003
3.042
4.102
3.961
0.031
0.131
8.221
3.121
hsedarP
rattU
.71
3.626
2.295
8.554
0.104
1.653
6.503
0.772
7.491
9.161
4.131
4.411
3.79
1.09
6.48
8.59
2.69
lagneB
tseW
.81
yrogetaC
laicepS
.II
6.04
5.14
5.52
4.91
6.12
7.51
7.71
8.21
5.9
4.8
4.7
5.6
2.6
2.4
5.4
2.3
hsedarP
lahcanurA
.1
1.872
8.282
1.541
0.321
9.111
4.201
6.19
6.76
6.06
2.25
5.44
8.74
1.73
3.23
4.03
8.03
massA
.2
2.311
6.59
9.87
0.17
0.06
2.06
1.94
7.54
4.73
3.33
0.82
3.32
5.32
7.91
1.91
6.91
hsedarP
lahcamiH
.3
0.241
4.531
1.89
2.19
4.78
3.47
0.96
1.65
1.15
5.34
3.04
0.13
9.42
2.52
2.32
4.02
rimhsaK
dna ummaJ
.4
5.33
2.54
1.12
5.02
2.02
3.91
4.51
5.41
8.11
4.01
4.9
7.8
0.6
6.5
5.5
5.4
rupinaM
.5
1.73
4.46
2.72
1.32
4.32
5.71
0.41
2.21
4.01
7.8
7.7
4.7
4.6
7.5
6.5
8.5
ayalahgeM
.6
1.92
9.13
0.32
2.12
4.61
0.61
7.41
5.11
4.9
0.8
2.7
5.6
5.6
6.5
4.5
1.5
maroziM
.7
1.83
1.33
5.12
7.91
1.61
8.51
7.11
2.11
5.01
1.9
0.8
3.6
4.6
7.5
4.5
9.5
dnalagaN
.8
1.02
7.32
9.61
9.31
5.41
6.01
1.01
2.8
6.6
5.5
0.5
8.4
1.4
5.3
1.3
6.2
mikkiS
.9
1.27
7.95
5.23
7.82
9.62
6.12
8.12
8.61
0.41
1.21
2.11
2.11
6.9
7.9
7.9
0.9
arupirT
.01
0.251
4.351
8.39
7.97
8.37
5.95
2.65
9.14
3.73
3.23
8.72
3.32
3.02
1.71
2.31
5.3
dnahkarattU
.11
8.794,01
5.128,9
0.297,6
4.920,6
7.532,5
4.915,4
4.929,3
4.513,3
7.456,2
9.922,2
3.498,1
8.046,1
6.164,1
5.633,1
5.292,1
2.942,1
setatS
llA
:meti
omeM
3.222
8.771
3.451
7.541
1.231
1.801
1.501
2.98
5.37
4.15
7.54
7.24
6.43
9.43
9.92
0.03
ihleD
TCN
.1
3.72
3.32
7.81
1.41
2.71
6.51
7.31
6.01
3.9
3.8
0.8
0.0
0.0
0.0
0.0
0.0
yrrehcuduP
.2
.setamitsE
tegduB
:EB
.setamitsE
desiveR
:ER
.stnemnrevog
etats
eht
yb
secnavda
dna
snaol
dna
yaltuo
latipac
,erutidnepxe
eunever
rednu
gnisuoheraw
dna
egarots
doof
dna
tnempoleved
larur
,secivres
laicos
no
erutidnepxe
sedulcnI
:*
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnmenrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSState Finances : A Study of Budgets of 2015-16
128
erutidnepxE
latoT
ot
*erutidnepxE
rotceS
laicoS
:23
tnemetatS
)tnec
reP(
61-5102
51-4102
41-3102
31-2102
21-1102
11-0102
01-9002
90-8002
80-7002
70-6002
60-5002
50-4002
40-3002
30-2002
20-1002
10-0002
etatS
)EB(
)ER(
71
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
yrogetaC
laicepS-noN
.I
8.64
6.14
3.93
2.83
2.93
9.83
6.53
9.83
7.23
9.23
8.03
3.92
3.33
5.23
0.53
6.53
hsedarP
arhdnA
.1
5.64
7.05
4.34
4.44
0.04
2.83
8.14
9.34
8.34
0.14
4.83
5.03
7.63
4.63
9.83
7.34
rahiB
.2
8.65
2.45
4.35
7.84
6.15
2.05
2.45
1.05
2.64
6.74
2.44
7.73
2.63
3.14
3.34
5.05
hragsittahhC
.3
7.53
5.73
8.53
0.43
1.33
5.33
5.23
2.23
6.13
8.13
9.03
4.13
4.82
1.62
1.32
4.62
aoG
.4
1.24
4.14
0.04
7.83
2.83
9.93
4.83
0.53
9.43
4.33
1.23
0.92
3.72
4.03
2.53
6.53
tarajuG
.5
0.34
8.14
0.73
8.04
9.04
6.93
0.14
2.73
3.33
5.82
0.23
2.42
6.81
6.62
3.43
0.73
anayraH
.6
3.94
3.84
0.93
6.93
2.14
4.64
2.44
8.74
5.34
0.74
9.54
1.44
4.44
0.05
0.74
-
dnahkrahJ
.7
9.04
7.24
6.73
2.93
8.73
9.93
9.93
8.73
7.63
7.23
4.33
5.82
4.82
4.13
8.43
3.83
akatanraK
.8
8.63
9.73
5.43
9.43
8.43
4.33
6.33
4.33
4.13
0.13
6.53
2.63
0.03
4.73
6.73
9.93
alareK
.9
6.34
6.64
8.93
0.04
6.33
0.93
2.53
7.63
7.53
3.53
5.23
7.42
4.82
7.73
4.53
3.24
hsedarP
ayhdaM
.01
8.54
0.44
9.14
6.24
1.14
4.14
3.04
8.63
0.73
3.73
3.53
1.82
9.03
3.33
4.63
6.63
arthsarahaM
.11
3.44
9.54
2.44
6.14
9.24
3.24
0.14
6.14
9.53
7.13
2.43
9.82
0.82
7.13
2.43
8.63
ahsidO
.21
9.92
6.13
5.72
2.82
1.72
5.22
7.22
8.32
8.81
9.71
8.91
8.71
3.71
2.71
8.32
6.72
bajnuP
.31
9.84
6.74
5.44
5.14
6.24
4.24
3.44
2.54
9.83
5.93
1.04
1.43
7.53
3.73
7.04
3.14
nahtsajaR
.41
9.83
8.04
1.14
5.83
3.83
2.04
3.04
7.93
9.53
1.33
9.63
6.23
3.43
0.23
0.73
4.93
udaN
limaT
.51
4.44
5.64
β
β
β
β
β
β
β
β
β
β
β
β
β
β
anagnaleT
.61
7.93
0.93
1.83
8.83
8.83
7.73
0.93
8.73
4.43
1.23
7.33
6.82
7.81
1.13
2.23
1.33
hsedarP
rattU
.71
3.54
7.54
0.24
1.24
5.24
9.14
7.04
9.13
7.43
9.13
2.82
1.92
4.32
5.03
1.43
0.63
lagneB
tseW
.81
yrogetaC
laicepS
.II
9.13
1.63
8.23
5.03
4.23
1.82
7.33
9.92
1.13
2.03
4.03
2.13
3.82
9.03
5.23
9.62
hsedarP
lahcanurA
.1
7.34
5.34
0.93
5.63
0.73
5.93
7.63
7.83
0.04
7.83
8.63
4.23
0.53
2.63
5.53
3.04
massA
.2
9.93
4.83
1.73
3.43
6.43
3.73
0.53
6.63
2.53
0.33
7.23
0.92
0.92
8.92
7.33
9.63
hsedarP
lahcamiH
.3
9.03
9.13
7.92
7.82
3.92
1.92
6.03
9.92
0.03
3.13
9.92
9.72
3.82
8.82
8.82
1.62
rimhsaK
dna ummaJ
.4
7.43
5.04
4.92
3.92
4.92
6.13
5.23
9.23
7.13
7.82
2.43
6.33
0.62
0.62
0.62
5.23
rupinaM
.5
7.83
2.45
9.93
7.73
4.93
7.63
6.63
7.53
5.73
6.73
2.83
8.53
2.63
9.53
5.04
6.04
ayalahgeM
.6
3.83
4.24
8.04
7.93
6.63
6.83
5.14
1.04
7.63
8.43
3.33
6.53
7.53
0.04
7.04
2.93
maroziM
.7
0.63
8.53
8.92
4.72
9.42
3.82
9.52
3.82
5.92
6.92
6.82
6.72
0.72
6.92
9.62
9.13
dnalagaN
.8
3.63
3.53
8.73
4.53
8.63
9.03
8.82
4.72
5.32
3.42
3.32
2.22
5.72
3.61
5.61
3.72
mikkiS
.9
2.84
1.84
6.14
9.04
7.14
4.83
9.73
2.73
5.63
5.63
0.43
6.73
8.43
4.83
3.93
0.24
arupirT
.01
7.74
8.84
6.34
5.14
5.54
5.24
3.24
4.83
4.73
9.73
3.63
6.63
7.23
2.53
0.04
0.23
dnahkarattU
.11
9.24
3.34
8.93
3.93
7.83
0.93
7.83
6.73
3.53
9.33
7.33
6.92
4.82
6.23
1.53
8.63
setatS
llA
:meti
omeM
0.45
1.15
3.54
8.84
0.05
4.24
2.24
8.34
5.04
6.93
0.14
1.33
6.92
2.43
6.43
8.04
ihleD
TCN
.1
5.24
4.93
1.73
6.93
9.54
3.83
1.83
9.53
8.53
7.43
7.63
β
β
β
β
β
yrrehcuduP
.2
.setamitsE
tegduB
:EB
.setamitsE
desiveR
:ER
.stnemnrevog
etats
eht
yb
secnavda
dna
snaol
dna
yaltuo
latipac
,erutidnepxe
eunever
rednu
gnisuoheraw
dna
egarots
doof
dna
tnempoleved
larur
,secivres
laicos
no
erutidnepxe
sedulcnI
:*
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnmenrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSStatements
129
stnemnrevoG
etatS
fo
stpieceR
euneveR
:33
tnemetatS
)tnec
reP(
)EB(
61-5102
)ER(
51-4102
)EB(
51-4102
41-3102
etatS
/TC
/RTNO
/RTO
/RR
/TC
/RTNO
/RTO
/RR
/TC
/RTNO
/RTO
/RR
/TC
/RTNO
/RTO
/RR
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
71
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
2.6
5.1
5.7
2.51
6.6
4.1
4.7
4.51
9.6
4.1
7.7
0.61
5.4
3.1
1.7
8.21
yrogetaC
laicepS-noN
.I
9.6
9.0
6.7
4.51
1.7
7.1
4.7
2.61
8.8
7.1
2.7
7.71
6.3
8.1
5.7
9.21
hsedarP
arhdnA
.1
1.51
7.0
8.6
7.22
7.61
8.0
4.6
8.32
2.81
8.0
4.6
3.52
8.31
4.0
8.5
1.02
rahiB
.2
7.11
5.3
1.8
2.32
7.11
0.3
6.8
3.32
7.11
9.2
5.8
1.32
8.6
7.2
7.7
3.71
hragsittahhC
.3
2.5
6.5
3.8
2.91
1.3
7.4
1.8
9.51
5.3
0.5
6.8
1.71
5.2
4.3
3.7
2.31
aoG
.4
0.3
1.1
0.7
1.11
2.3
1.1
2.7
5.11
4.3
1.1
1.7
6.11
2.2
9.0
4.7
4.01
tarajuG
.5
3.2
3.1
4.6
0.01
3.2
3.1
8.6
4.01
6.2
3.1
8.6
6.01
9.1
3.1
6.6
8.9
anayraH
.6
9.11
8.2
5.6
2.12
6.21
9.2
7.6
2.22
5.21
3.2
5.5
3.02
5.7
2.2
4.5
1.51
dnahkrahJ
.7
7.4
7.0
4.01
8.51
1.5
6.0
8.9
5.51
4.5
7.0
2.01
2.61
7.3
7.0
2.01
6.41
akatanraK
.8
0.4
6.1
0.8
6.31
5.3
6.1
7.7
8.21
4.3
4.1
1.9
9.31
9.2
4.1
1.8
4.21
alareK
.9
1.01
7.1
2.7
0.91
0.11
9.1
7.7
6.02
4.11
3.1
7.7
4.02
9.7
8.1
7.7
4.71
hsedarP
ayhdaM
.01
5.2
1.1
9.6
5.01
9.2
8.0
1.7
7.01
9.2
8.0
2.7
9.01
0.2
8.0
2.7
9.9
arthsarahaM
.11
7.11
6.2
1.6
4.02
8.11
4.2
2.6
5.02
6.21
6.2
4.6
6.12
7.8
1.3
2.6
9.71
ahsidO
.21
3.3
0.1
4.7
6.11
2.3
8.0
2.8
2.21
7.3
8.0
8.7
3.21
5.2
0.1
6.7
1.11
bajnuP
.31
6.7
4.2
3.7
4.71
6.7
3.2
9.6
8.61
8.8
6.2
0.7
4.81
3.5
6.2
5.6
4.41
nahtsajaR
.41
4.3
8.0
7.8
9.21
9.3
9.0
8.8
6.31
8.2
8.0
4.9
0.31
9.2
1.1
6.8
6.21
udaN limaT
.51
9.4
4.4
1.9
5.81
3.7
1.3
2.8
6.81
7.8
6.3
7.9
1.22
-
-
-
-
anagnaleT
.61
5.21
0.2
4.8
0.32
8.21
4.2
8.7
9.22
8.21
1.2
3.8
2.32
9.9
9.1
7.7
5.91
hsedarP rattU
.71
8.6
3.0
9.4
0.21
8.6
3.0
0.5
0.21
3.7
2.0
7.5
2.31
0.5
3.0
1.5
3.01
lagneB tseW
.81
2.12
9.1
8.5
0.92
5.12
0.2
6.5
1.92
9.12
2.2
7.5
8.92
1.61
0.2
6.5
7.32
yrogetaC
laicepS
.II
8.95
8.2
9.2
4.56
8.04
0.3
1.3
9.64
6.84
2.4
5.3
3.65
8.63
0.3
2.3
0.34
hsedarP
lahcanurA
.1
1.02
2.2
5.6
7.82
3.81
6.1
8.5
8.52
2.02
3.2
2.6
7.82
9.21
7.1
6.5
2.02
massA
.2
9.41
4.1
0.6
4.22
7.21
5.1
1.6
3.02
5.01
5.1
7.5
7.71
7.01
2.2
2.6
0.91
hsedarP
lahcamiH
.3
4.72
7.3
4.8
5.93
4.82
6.3
3.7
3.93
1.82
6.3
5.7
2.93
5.02
3.3
2.7
0.13
rimhsaK
dna ummaJ
.4
4.14
2.1
6.3
2.64
0.65
2.1
6.3
9.06
6.74
7.1
7.3
0.35
7.54
8.1
3.3
8.05
rupinaM
.5
5.42
1.1
6.3
1.92
5.63
7.2
8.4
9.34
5.63
7.2
8.4
9.34
5.12
7.2
3.4
6.82
ayalahgeM
.6
4.64
8.1
3.2
5.05
5.83
9.1
1.2
5.24
1.44
3.2
2.2
6.84
2.24
9.1
2.2
3.64
maroziM
.7
8.43
0.1
8.1
6.73
9.63
6.1
8.1
2.04
5.44
0.1
9.1
5.74
5.33
2.1
9.1
6.63
dnalagaN
.8
4.22
0.2
2.3
7.72
1.13
5.7
5.3
1.24
8.03
5.7
4.3
6.14
3.42
4.6
2.4
0.53
mikkiS
.9
7.03
9.0
7.3
3.53
0.03
7.0
0.4
7.43
1.03
9.0
2.4
2.53
6.32
9.0
0.4
5.82
arupirT
.01
1.9
3.1
1.6
5.61
9.11
3.1
9.5
1.91
6.01
3.1
8.5
6.71
0.7
1.1
0.6
1.41
dnahkarattU
.11
3.6
3.1
6.6
3.41
6.6
3.1
5.6
4.41
7.6
2.1
5.6
4.41
6.4
2.1
3.6
1.21
#setatS
llA
:metI
omeM
5.0
2.0
6.6
4.7
8.0
2.0
1.6
1.7
8.0
2.0
7.6
7.7
4.0
2.0
6.6
2.7
ihleD TCN
.1
8.5
7.4
5.7
9.71
1.6
0.6
9.7
9.91
2.7
3.5
1.8
6.02
7.5
7.5
0.9
4.02
yrrehcuduP
.2
.euneveR
xaT-noN
nwO
:RTNO
.euneveR
xaT
nwO
:RTO
.stpieceR
euneveR
:RR
.setamitsE
desiveR
:ER
.setamitsE
tegduB
:EB
.tcudorP
citsemoD
etatS
ssorG
:PDSG
.srefsnarT
tnerruC
:TC
.PDG
ot
tnec
rep
sa
era
setats lla rof
ataD
:#
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnmenrevog
etats
eht
fo
stnemucod
tegduB
:ecruoSState Finances : A Study of Budgets of 2015-16
130
stnemnrevoG
etatS
eht
fo
erutidnepxE
euneveR
:43
tnemetatS
)tnec
reP(
)EB(
61-5102
)ER(
51-4102
)EB(
51-4102
41-3102
etatS
/NP
/PI
/ERDN
/ERD
/ER
/NP
/PI
/ERDN
/ERD
/ER
/NP
/PI
/ERDN
/ERD
/ER
/NP
/PI
/ERDN
/ERD
/ER
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
12
02
91
81
71
61
51
41
31
21
11
01
9
8
7
6
5
4
3
2
1
6.1
7.1
0.5
5.9
9.41
6.1
7.1
0.5
2.01
7.51
6.1
7.1
1.5
1.01
6.51
5.1
6.1
6.4
0.8
0.31
yrogetaC
laicepS-noN
.I
0.2
9.1
4.5
2.11
6.61
9.1
9.1
9.5
0.31
9.81
9.1
9.1
8.5
0.31
9.81
6.1
5.1
3.4
6.8
9.21
hsedarP
arhdnA
.1
8.2
6.1
6.6
4.31
0.02
9.2
6.1
3.7
6.71
9.42
9.2
6.1
0.7
8.51
8.22
8.2
6.1
4.6
8.11
2.81
rahiB
.2
5.1
8.0
3.4
9.61
5.12
2.1
9.0
2.4
6.71
2.22
2.1
9.0
1.4
4.71
0.22
5.1
7.0
2.4
9.21
7.71
hragsittahhC
.3
3.1
1.2
1.5
2.31
4.81
1.1
9.1
5.4
3.11
8.51
1.1
1.2
8.4
3.21
1.71
2.1
8.1
2.4
7.9
9.31
aoG
.4
9.0
7.1
6.3
7.6
4.01
0.1
7.1
6.3
1.7
8.01
9.0
7.1
8.3
0.7
9.01
1.1
7.1
5.3
3.6
8.9
tarajuG
.5
1.1
6.1
8.3
9.7
8.11
1.1
7.1
2.4
4.8
6.21
0.1
6.1
7.3
0.8
7.11
1.1
5.1
5.3
2.7
8.01
anayraH
.6
0.2
5.1
9.5
3.31
1.91
2.2
4.1
0.6
3.41
3.02
0.2
3.1
4.5
0.31
5.81
0.2
5.1
8.5
8.7
6.31
dnahkrahJ
.7
5.1
4.1
2.4
6.01
7.51
4.1
3.1
9.3
6.01
5.51
4.1
4.1
3.4
9.01
2.61
5.1
3.1
1.4
6.9
5.41
akatanraK
.8
3.2
9.1
3.6
5.7
9.41
3.2
9.1
1.6
5.7
9.41
4.2
1.2
5.6
7.7
5.51
5.2
1.2
7.6
3.7
3.51
alareK
.9
4.1
3.1
4.5
7.11
1.81
2.1
4.1
6.4
7.31
3.91
2.1
4.1
8.4
8.31
5.91
4.1
5.1
7.4
3.01
1.61
hsedarP
ayhdaM
.01
9.0
5.1
9.3
7.6
7.01
9.0
4.1
8.3
6.7
5.11
9.0
4.1
8.3
2.7
2.11
9.0
4.1
6.3
5.6
3.01
arthsarahaM
.11
5.2
2.1
7.5
0.31
9.81
5.2
4.1
7.5
4.31
4.91
5.2
5.1
0.6
0.41
2.02
2.2
1.1
0.5
4.11
7.61
ahsidO
.21
8.1
5.2
1.6
9.6
2.31
9.1
5.2
5.6
4.7
0.41
9.1
3.2
0.6
2.7
5.31
0.2
5.2
4.6
6.6
1.31
bajnuP
.31
7.1
9.1
9.4
4.21
3.71
7.1
8.1
0.5
6.21
6.71
6.1
8.1
7.4
6.31
3.81
5.1
8.1
5.4
0.01
6.41
nahtsajaR
.41
8.1
5.1
3.4
8.7
3.31
9.1
5.1
5.4
4.8
0.41
8.1
5.1
3.4
5.7
0.31
7.1
5.1
2.4
6.7
9.21
udaN limaT
.51
6.1
5.1
7.4
6.31
4.81
5.1
4.1
0.5
5.31
5.81
8.1
6.1
9.5
0.61
0.22
-
-
-
-
-
anagnaleT
.61
6.2
9.1
4.7
5.11
8.91
3.2
9.1
0.7
5.11
6.91
6.2
9.1
6.7
5.11
2.02
3.2
0.2
2.7
0.01
3.81
hsedarP rattU
.71
5.1
5.2
0.5
0.7
0.21
6.1
7.2
4.5
9.7
3.31
7.1
7.2
5.5
6.7
2.31
6.1
9.2
8.5
1.7
0.31
lagneB tseW
.81
0.3
3.2
5.9
3.61
5.62
7.2
2.2
1.9
4.81
6.82
7.2
2.2
0.9
1.71
0.72
9.2
2.2
7.8
3.31
8.22
yrogetaC
laicepS
.II
2.4
6.2
7.61
6.53
3.25
6.2
3.2
2.31
5.14
7.45
2.2
3.2
3.01
8.53
1.64
9.2
3.2
1.31
2.92
3.24
hsedarP
lahcanurA
.1
1.3
3.1
7.7
4.61
0.62
0.2
3.1
1.7
8.81
5.82
9.1
3.1
7.6
2.71
5.62
7.2
4.1
8.6
5.11
1.02
massA
.2
8.3
8.2
5.8
8.31
3.22
3.3
9.2
2.8
7.31
9.12
7.3
9.2
6.8
6.21
2.12
5.3
0.3
5.8
5.21
0.12
hsedarP
lahcamiH
.3
8.3
0.4
7.61
5.91
2.63
2.4
9.3
7.41
6.02
3.53
0.4
5.3
2.41
2.81
4.23
1.4
4.3
0.31
9.71
9.03
rimhsaK
dna ummaJ
.4
1.5
5.2
4.51
3.52
5.24
7.5
8.2
4.71
2.43
9.45
2.5
7.2
3.61
2.72
8.54
4.5
1.3
0.71
5.02
9.93
rupinaM
.5
5.1
6.1
6.7
8.81
4.62
6.1
6.1
9.7
2.13
1.93
6.1
6.1
9.7
2.13
1.93
1.2
7.1
4.8
9.61
3.52
ayalahgeM
.6
9.3
2.3
0.61
9.62
9.24
0.3
4.2
4.41
8.53
2.05
1.3
4.2
4.41
3.33
7.74
1.5
8.2
4.61
4.13
8.74
maroziM
.7
4.4
8.2
3.51
3.12
7.63
4.4
8.2
5.51
3.22
8.73
1.4
8.2
9.41
5.42
4.93
9.3
8.2
4.51
0.71
4.23
dnalagaN
.8
4.2
6.1
7.7
7.61
5.42
3.2
6.1
8.31
1.91
3.33
3.2
6.1
4.31
1.91
0.33
1.2
7.1
9.11
8.51
9.72
mikkiS
.9
4.2
0.2
4.8
7.61
8.52
6.2
3.2
2.9
3.71
0.72
6.2
1.2
1.9
8.61
4.62
5.2
2.2
7.8
9.21
2.22
arupirT
.01
7.1
2.2
7.5
1.01
5.61
9.1
8.1
8.5
1.11
6.71
7.1
1.2
9.5
7.01
2.71
7.1
7.1
0.5
6.7
2.31
dnahkarattU
.11
7.1
6.1
7.4
8.8
9.31
7.1
5.1
6.4
5.9
5.41
7.1
5.1
5.4
0.9
0.41
6.1
5.1
3.4
5.7
2.21
#setatS
llA
:metI
omeM
0.0
6.0
4.1
2.4
8.5
0.0
7.0
5.1
1.4
8.5
0.0
7.0
5.1
1.4
8.5
0.0
7.0
4.1
1.4
7.5
ihleD TCN
.1
4.1
7.1
4.4
6.31
9.71
7.1
1.2
6.5
9.31
6.91
6.1
0.2
7.5
4.41
1.02
8.1
3.2
9.5
4.51
3.12
yrrehcuduP
.2
.erutidnepxE
euneveR
:ER
.tnemyaP
tseretnI
:PI
.erutidnepxE
euneveR
tnempoleved-noN
:ERDN
.setamitsE
desiveR
:ER
.setamitsE
tegduB
:EB
.tcudorP
citsemoD
etatS
ssorG
:PDSG
.erutidnepxE
euneveR
tnempoleveD
:ERD
.noisneP
:NP
.PDG
ot
tnec
rep
sa
era
setats lla rof
ataD
:#
.rimhsaK
&
ummaJ
fo
tcepser
ni
41-3102
rof
GAC
,stnmenrevog
etats
eht
fo stnemucod
tegduB
:ecruoSStatements
131
srotacidnI
tceleS
:erutidnepxE
tnempoleveD
:53
tnemetatS
)tnec
reP(
)EB(
61-5102
)ER(
51-4102
)EB(
51-4102
41-3102
etatS
/OC
/ESS
/VED
/OC
/ESS
/VED
/OC
/ESS
/VED
/OC
/ESS
/VED
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
PDSG
31
21
11
01
9
8
7
6
5
4
3
2
1
7.2
0.8
2.21
8.2
4.8
0.31
9.2
5.8
0.31
1.2
4.6
2.01
yrogetaC
laicepS-noN
.I
7.1
9.8
0.31
4.1
9.8
5.41
4.1
0.9
5.41
8.1
3.6
7.01
hsedarP
arhdnA
.1
5.5
3.21
1.81
9.6
7.61
7.32
3.5
1.51
6.02
1.4
2.01
7.51
rahiB
.2
4.4
0.51
2.12
8.3
4.41
4.12
0.4
7.41
4.12
5.2
3.11
0.61
hragsittahhC
.3
0.6
0.9
6.71
6.3
5.7
2.41
9.3
3.8
5.51
1.2
0.6
3.11
aoG
.4
9.2
9.5
6.9
1.3
1.6
2.01
3.3
4.6
2.01
0.3
5.5
2.9
tarajuG
.5
1.1
9.5
2.9
3.1
1.6
8.9
3.1
0.6
4.9
0.1
7.4
3.8
anayraH
.6
8.3
1.21
4.71
9.3
4.21
5.81
8.3
1.21
0.71
7.2
8.6
6.01
dnahkrahJ
.7
8.2
8.7
3.31
7.2
1.8
2.31
9.2
3.8
7.31
8.2
8.6
4.21
akatanraK
.8
6.1
4.6
2.9
0.1
3.6
7.8
4.1
4.6
2.9
1.1
0.6
7.8
alareK
.9
0.3
8.9
3.51
8.2
3.11
6.71
8.2
7.11
2.71
5.2
2.8
9.31
hsedarP
ayhdaM
.01
4.1
8.5
1.8
4.1
9.5
0.9
6.1
1.6
8.8
3.1
2.5
9.7
arthsarahaM
.11
4.4
8.01
3.71
9.3
3.11
3.71
4.4
8.11
4.81
8.2
1.9
2.41
ahsidO
.21
2.1
6.4
2.8
1.1
1.5
4.8
7.1
2.5
9.8
7.0
1.4
2.7
bajnuP
.31
2.3
5.01
8.51
3.3
4.01
9.51
6.3
4.11
1.71
6.2
1.8
8.21
nahtsajaR
.41
2.2
4.6
0.01
1.2
0.7
6.01
4.2
1.6
8.9
0.2
5.6
8.9
udaN limaT
.51
1.3
0.01
1.71
5.3
8.01
5.71
2.4
8.21
8.02
-
-
-
anagnaleT
.61
8.5
7.01
0.71
1.6
5.01
4.71
7.5
6.01
0.71
8.3
9.8
6.31
hsedarP
rattU
.71
7.1
7.6
6.8
7.1
4.7
5.9
9.1
4.7
5.9
0.1
5.6
2.8
lagneB tseW
.81
7.5
4.31
4.12
7.6
1.51
7.42
7.5
8.31
9.12
8.3
2.01
1.71
yrogetaC
laicepS
.II
1.61
8.22
4.54
1.51
6.62
2.55
8.31
2.91
4.83
4.21
9.81
3.04
hsedarP
lahcanurA
.1
7.4
0.41
3.12
7.5
4.51
4.42
1.4
9.31
3.12
0.2
1.9
0.41
massA
.2
8.2
8.01
9.61
7.2
2.01
8.61
1.2
1.9
0.51
2.2
6.9
3.51
hsedarP
lahcamiH
.3
1.01
8.41
9.72
4.11
4.51
3.03
9.8
0.41
2.52
1.5
2.11
4.22
rimhsaK
dna ummaJ
.4
8.6
8.71
1.13
6.11
7.72
8.34
4.01
4.81
5.43
0.9
7.41
0.82
rupinaM
.5
6.5
9.21
1.42
8.6
4.52
7.73
8.6
4.52
7.73
9.4
4.21
6.12
ayalahgeM
.6
4.8
5.02
4.43
7.8
5.52
7.34
9.5
3.22
9.83
8.5
3.22
9.63
maroziM
.7
9.5
1.61
3.52
6.6
5.61
8.72
0.11
5.81
6.03
8.6
1.21
8.22
dnalagaN
.8
0.6
6.11
1.22
6.11
2.61
4.92
0.11
0.61
8.82
4.7
7.31
9.12
mikkiS
.9
0.51
3.02
2.82
9.11
4.91
5.72
6.21
3.91
0.72
1.6
1.21
2.81
arupirT
.01
6.2
7.9
7.21
2.4
1.11
4.51
3.3
4.01
0.41
0.3
6.7
8.01
dnahkarattU
.11
6.2
4.7
4.11
6.2
8.7
1.21
6.2
6.7
6.11
9.1
0.6
5.9
#setatS
llA
:metI
omeM
4.1
2.4
8.5
1.1
9.3
5.5
2.1
1.4
6.5
2.1
9.3
6.6
ihleD TCN
.1
0.2
8.8
1.51
5.2
0.9
1.61
7.2
5.9
7.61
7.1
9.8
9.61
yrrehcuduP
.2
.erutidnepxE
rotceS
laicoS
:ESS
.yaltuO
latipaC
:OC
.erutidnepxE
tnempoleveD
:VED
.setamitsE
desiveR
:ER
.setamitsE
tegduB
:EB
.PDG
ot
tnec
rep
sa
era
setats
lla
rof
ataD
:#
.tcudorP
citsemoD
etatS ssorG
:PDSG
.stnemnrevog
etats
fo
stnemucoD
tegduB
no desaB
:ecruoSAppendices
I to IVAppendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature
(` Million)
ANDHRA PRADESH ARUNACHAL PRADESH
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 1,107,188.3 920,782.2 840,660.5 901,249.9 58,204.3 87,774.8 73,152.9 116,356.8
I. TAX REVENUE (A+B) 862,554.2 542,364.4 553,138.8 670,613.9 14,803.6 17,305.0 15,992.3 77,393.9
A. State's Own Tax Revenue (1 to 3) 641,235.3 373,976.7 384,751.1 444,234.2 4,345.1 5,469.4 4,892.5 5,076.5
1. Taxes on Income (i+ii) 5,199.5 2,661.9 2,661.9 3,021.4 β β β β
i) Agricultural Income Tax β β β β β β β β
ii) Taxes on Professions,Trades,
Callings and Employment 5,199.5 2,661.9 2,661.9 3,021.4 β β β β
2. Taxes on Property and Capital
Transactions (i to iii) 46,470.3 26,429.7 30,823.1 43,063.6 155.7 102.4 99.3 109.2
i) Land Revenue 736.2 657.8 657.8 6,315.6 113.9 62.1 51.3 56.4
ii) Stamps and Registration Fees 43,931.8 24,606.6 29,000.0 35,000.0 41.8 40.3 48.0 52.8
iii) Urban Immovable Property Tax 1,802.3 1,165.3 1,165.3 1,748.0 β β β β
3. Taxes on Commodities and Services
(i to vii) 589,565.5 344,885.1 351,266.1 398,149.2 4,189.3 5,367.0 4,793.2 4,967.2
i) Sales Tax (a to e) 487,374.1 287,491.5 287,491.5 328,400.0 2,236.0 3,380.3 1,758.3 1,781.0
a) State Sales Tax/VAT 464,010.2 277,013.7 277,013.7 316,431.2 2,236.0 3,380.3 1,758.3 1,781.0
b) Central Sales Tax 22,523.4 9,994.3 9,994.3 11,416.4 β β β β
c) Surcharge on Sales Tax β β β β β β β β
d) Receipts of Turnover Tax 712.4 383.3 383.3 437.9 β β β β
e) Other Receipts 128.1 100.2 100.2 114.5 β β β β
ii) State Excise 62,502.6 40,267.4 42,295.7 46,800.0 555.0 687.4 580.8 667.0
iii) Taxes on Vehicles 33,351.8 13,837.3 18,190.0 19,768.3 170.8 179.9 165.0 181.4
iv) Taxes on Goods and Passengers 158.4 55.7 55.7 160.4 1,227.5 1,119.4 2,289.1 2,337.8
v) Taxes and Duties on Electricity 3,355.3 1,892.2 1,892.2 1,901.4 β β β β
vi) Entertainment Tax 1,210.4 574.9 574.9 479.8 β β β β
vii) Other Taxes and Duties 1,612.8 766.1 766.1 639.3 β β β β
B. Share in Central Taxes (i to ix) 221,318.9 168,387.7 168,387.7 226,379.7 10,458.5 11,835.6 11,099.8 72,317.4
i) Corporation Tax 74,431.1 57,747.8 57,747.8 74,991.6 3,519.3 3,945.5 3,678.8 23,864.9
ii) Income Tax 49,010.6 38,348.1 38,348.1 55,365.5 2,317.4 2,810.6 2,744.7 17,619.2
iii) Estate Duty β β β β β β β -0.7
iv) Other Taxes on Income and Expenditure β β β β β β β β
v) Taxes on Wealth 204.4 134.0 134.0 -2.2 9.7 10.8 9.8 β
vi) Customs 36,109.9 26,778.4 26,778.4 34,808.0 1,707.4 1,825.2 1,828.0 11,077.1
vii) Union Excise Duties 25,503.5 17,683.2 17,683.2 22,637.8 1,205.8 1,179.1 1,104.3 7,204.2
viii) Service Tax 36,059.4 27,696.2 27,696.2 38,579.0 1,698.9 2,064.4 1,734.2 12,552.7
ix) Other Taxes and Duties on Commodities
and Services β β β β β β β β
II.NON-TAX REVENUE (C+D) 244,634.1 378,417.8 287,521.7 230,636.0 43,400.7 70,469.8 57,160.6 38,963.0
C. State's Own Non-Tax Revenue (1 to 6) 154,728.6 90,110.0 89,213.9 53,413.4 4,050.6 6,489.3 4,628.8 4,923.6
1. Interest Receipts 86,463.5 48,130.2 48,130.2 1,535.9 246.6 677.7 136.1 316.1
2. Dividends and Profi ts 604.1 352.1 352.1 342.2 β β β β
135State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
ANDHRA PRADESH ARUNACHAL PRADESH
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 7,118.6 5,810.9 5,810.9 4,231.0 427.5 367.2 332.2 377.0
of which: State Lotteries β β β β β β β β
4. Social Services ( i to ix) 18,697.2 2,307.9 2,307.9 12,563.8 368.6 230.9 255.5 278.5
i) Education, Sports, Art and Culture 16,755.5 895.7 895.7 11,359.1 43.0 26.9 30.9 34.0
ii) Medical and Public Health 1,367.7 861.3 861.3 947.4 7.1 6.7 7.4 8.1
iii) Family Welfare 79.3 49.6 49.6 18.0 β β β β
iv) Housing 25.2 12.6 12.6 7.7 0.2 1.4 1.4 1.5
v) Urban Development 9.1 0.3 0.3 0.3 38.2 40.3 39.0 41.0
vi) Labour and Employment 308.3 303.9 303.9 123.1 233.5 5.0 128.7 132.6
vii) Social Security and Welfare 55.6 66.2 66.2 9.5 1.2 1.0 1.1 1.2
viii) Water Supply and Sanitation 57.6 54.5 54.5 57.2 45.2 52.0 46.9 59.8
ix) Others 38.8 63.8 63.8 41.5 0.2 97.6 0.1 0.2
5. Fiscal Services β β β β β β β β
6. Economic Services ( i to xvii ) 41,845.2 33,508.9 32,612.8 34,740.5 3,007.9 5,213.5 3,905.0 3,952.1
i) Crop Husbandry 31.0 18.9 18.9 12.9 14.7 25.3 12.0 13.2
ii) Animal Husbandry 15.0 11.7 11.7 11.4 10.2 6.7 4.2 4.7
iii) Fisheries 37.9 25.4 25.4 24.8 1.2 1.5 1.5 1.6
iv) Forestry and Wildlife 2,036.5 1,292.5 1,292.5 10,718.1 118.9 559.0 75.3 82.9
v) Plantations β β β β β β β β
vi) Co-operation 248.4 88.0 88.0 81.4 4.8 3.1 6.1 6.7
vii) Other Agricultural Programmes 0.1 0.4 0.4 0.4 4.7 1.9 2.2 2.4
viii) Major and Medium Irrigation Projects 2,068.2 2,366.6 2,366.6 1,276.8 β β β β
ix) Minor Irrigation 79.8 109.2 109.2 15.1 8.3 0.7 0.4 0.4
x) Power 415.6 9,450.9 9,450.9 276.0 1,454.1 2,894.8 1,836.6 1,841.7
xi) Petroleum β β β β β β β β
xii) Village and Small Industries 36.2 34.8 34.8 51.7 8.3 25.0 10.8 11.9
xiii) Industries@ 27,315.7 12,285.2 11,389.1 13,611.5 1,165.7 1,435.9 1,719.1 1,734.9
xiv) Ports and Light Houses 1,293.7 1,409.1 1,409.1 1,550.0 β β β β
xv) Road Transport β β β β 159.0 202.7 142.0 146.3
xvi) Tourism 49.0 63.0 63.0 1.9 7.4 7.0 14.7 17.3
xvii) Others* 8,217.9 6,353.2 6,353.2 7,108.5 50.7 50.0 80.2 88.1
D. Grants from the Centre (1 to 5) 89,905.6 288,307.8 198,307.8 177,222.6 39,350.1 63,980.5 52,531.8 34,039.4
1. State Plan Schemes 27,581.1 113,130.0 113,130.0 85,000.0 25,433.2 29,279.4 27,159.6 β
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes 2,593.5 β β β 1,662.3 200.0 β β
3. Centrally Sponsored Schemes 25,399.1 β β β 3,916.8 27,393.5 15,774.6 32,450.0
4. NEC/ Special Plan Scheme β β β β 901.7 807.0 β β
5. Non-Plan Grants (a to c) 34,331.9 175,177.8 85,177.8 92,222.6 7,436.2 6,300.6 9,597.6 1,589.4
a) Statutory Grants 17,305.5 152,931.3 72,931.3 78,922.6 β β β β
b) Grants for relief on account
of Natural Calamities 5,208.9 2,415.4 2,415.4 3,300.0 382.9 519.4 422.0 470.0
c) Others 11,817.4 19,831.1 9,831.1 10,000.0 7,053.3 5,781.2 9,175.6 1,119.4
See 'Notes to Appendix I'.
136Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
ASSAM BIHAR
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 322,127.9 526,968.1 473,402.8 570,641.0 689,186.5 1,019,394.6 957,449.3 1,031,890.6
I. TAX REVENUE (A+B) 205,694.4 254,505.1 246,412.1 295,597.0 547,897.9 674,380.0 637,449.8 816,225.8
A. State's Own Tax Revenue (1 to 3) 89,949.2 113,454.3 107,517.9 128,923.9 199,606.8 256,629.5 256,629.5 308,750.0
1. Taxes on Income (i+ii) 2,763.6 3,458.2 3,316.3 3,882.4 476.0 440.0 440.0 550.0
i) Agricultural Income Tax 899.9 1,107.7 1,079.9 1,198.8 β β β β
ii) Taxes on Professions,Trades,
Callings and Employment 1,863.6 2,350.5 2,236.4 2,683.6 476.0 440.0 440.0 550.0
2. Taxes on Property and Capital
Transactions (i to iii) 4,071.8 7,559.7 4,886.4 5,863.3 29,141.2 38,500.0 38,500.0 43,000.0
i) Land Revenue 1,556.5 2,016.4 1,867.8 2,241.4 2,017.1 2,500.0 2,500.0 3,000.0
ii) Stamps and Registration Fees 2,515.2 5,543.3 3,018.6 3,621.9 27,124.1 36,000.0 36,000.0 40,000.0
iii) Urban Immovable Property Tax β β 0.1 0.1 β β β β
3. Taxes on Commodities and Services
(i to vii) 83,113.9 102,436.4 99,315.1 119,178.2 169,989.6 217,689.5 217,689.5 265,200.0
i) Sales Tax (a to e) 68,480.1 83,675.0 81,754.6 98,105.5 84,530.1 128,201.5 128,201.5 160,251.8
a) State Sales Tax/VAT 62,794.1 76,490.7 74,931.3 89,917.6 85,025.4 127,451.5 127,451.5 159,314.3
b) Central Sales Tax 5,594.7 7,184.3 6,713.6 8,056.3 352.5 750.0 750.0 937.5
c) Surcharge on Sales Tax β β β β β β β β
d) Receipts of Turnover Tax β β β β 6.4 β β β
e) Other Receipts 91.4 β 109.6 131.6 -854.2 β β β
ii) State Excise 6,102.6 7,637.2 7,323.1 8,787.7 31,677.2 37,000.0 37,000.0 40,000.0
iii) Taxes on Vehicles 3,511.1 4,413.1 4,213.3 5,055.9 8,374.8 10,000.0 10,000.0 12,000.0
iv) Taxes on Goods and Passengers 4,138.9 5,042.7 4,966.6 5,960.0 43,490.0 41,175.0 41,175.0 51,468.8
v) Taxes and Duties on Electricity 405.4 564.4 486.5 583.8 1,413.1 827.0 827.0 1,025.0
vi) Entertainment Tax 26.3 394.4 31.5 37.8 439.8 266.5 266.5 333.1
vii) Other Taxes and Duties 449.6 709.6 539.5 647.4 64.5 219.5 219.5 121.3
B. Share in Central Taxes (i to ix) 115,745.2 141,050.8 138,894.2 166,673.1 348,291.1 417,750.5 380,820.3 507,475.8
i) Corporation Tax 38,926.8 47,003.7 46,712.2 56,054.6 117,134.7 144,600.7 133,618.4 168,361.0
ii) Income Tax 25,632.1 33,483.6 30,758.5 36,910.2 77,129.6 89,505.5 91,352.9 124,299.0
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β β β β β
v) Taxes on Wealth 106.8 109.0 128.2 153.8 321.6 361.5 328.2 -4.9
vi) Customs 18,885.2 21,744.6 22,662.2 27,194.7 56,827.5 67,505.7 60,842.2 78,146.2
vii) Union Excise Duties 13,338.1 14,040.9 16,005.7 19,206.9 40,135.7 47,529.2 36,755.1 50,823.5
viii) Service Tax 18,856.1 24,669.1 22,627.3 27,152.8 56,742.1 68,248.1 57,923.6 85,851.1
ix) Other Taxes and Duties on Commodities
and Services 0.1 -0.1 0.1 0.1 -0.1 -0.1 -0.1 -0.1
II.NON-TAX REVENUE (C+D) 116,433.5 272,463.0 226,990.7 275,044.0 141,288.6 345,014.6 319,999.5 215,664.8
C. State's Own Non-Tax Revenue (1 to 6) 27,050.3 42,982.5 30,025.9 43,258.7 15,448.3 30,816.8 30,966.9 33,958.6
1. Interest Receipts 4,186.1 6,286.3 4,646.5 5,157.6 2,694.8 2,022.2 2,022.2 3,121.3
2. Dividends and Profi ts 120.5 143.9 133.7 148.4 25.3 28.1 28.1 27.9
137State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
ASSAM BIHAR
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 1,910.7 1,257.8 2,120.9 2,354.2 4,521.9 18,607.2 18,657.2 17,192.3
of which: State Lotteries β β β β β β β β
4. Social Services ( i to ix) 297.3 375.1 330.0 366.3 547.2 631.0 631.0 621.2
i) Education, Sports, Art and Culture 61.3 108.3 68.1 75.6 144.5 80.8 80.8 153.3
ii) Medical and Public Health 112.9 149.5 125.3 139.1 299.3 432.4 432.4 317.5
iii) Family Welfare 0.5 3.4 0.5 0.6 β β β β
iv) Housing 47.2 63.7 52.4 58.2 16.1 25.7 25.7 25.7
v) Urban Development 20.9 0.1 23.2 25.7 β β β β
vi) Labour and Employment 43.8 41.1 48.6 54.0 48.5 39.1 39.1 51.5
vii) Social Security and Welfare 0.6 2.1 0.6 0.7 -12.6 10.4 10.4 10.4
viii) Water Supply and Sanitation 9.9 6.7 11.0 12.3 49.4 33.8 33.8 52.4
ix) Others 0.2 0.2 0.2 0.2 1.8 8.8 8.8 10.4
5. Fiscal Services β β β β β β β β
6. Economic Services ( i to xvii ) 20,535.8 34,919.4 22,794.8 35,232.1 7,659.2 9,528.3 9,628.4 12,995.9
i) Crop Husbandry 79.2 7.3 87.9 97.6 66.6 76.2 76.2 70.7
ii) Animal Husbandry 6.0 6.5 6.6 7.4 8.4 10.0 10.0 9.0
iii) Fisheries 34.5 30.0 38.3 42.5 107.2 125.0 125.0 135.4
iv) Forestry and Wildlife 1,009.2 1,362.2 1,120.2 1,243.4 195.8 176.1 176.1 215.9
v) Plantations β β β β β β β β
vi) Co-operation 6.3 7.1 7.0 7.8 359.9 124.3 124.3 951.6
vii) Other Agricultural Programmes 4.7 4.5 5.2 5.8 β β β β
viii) Major and Medium Irrigation Projects 4.3 4.7 4.8 5.3 195.4 300.0 300.0 340.0
ix) Minor Irrigation 3.6 4.1 4.0 4.4 39.9 53.9 53.9 42.3
x) Power β β β β β β β β
xi) Petroleum 17,913.1 32,000.2 19,883.5 32,000.6 β β β β
xii) Village and Small Industries 62.8 18.4 69.7 77.3 0.8 0.8 0.9 1.1
xiii) Industries@ 7.2 24.8 8.0 8.9 5,728.1 7,634.4 7,634.4 10,038.8
xiv) Ports and Light Houses β β β β β β β β
xv) Road Transport β β β β 0.8 0.6 0.6 0.8
xvi) Tourism 3.8 35.9 4.2 4.6 23.1 β β 24.5
xvii) Others* 1,401.1 1,413.7 1,555.3 1,726.3 933.1 1,027.0 1,127.0 1,165.7
D. Grants from the Centre (1 to 5) 89,383.2 229,480.5 196,964.8 231,785.3 125,840.3 314,197.8 289,032.7 181,706.3
1. State Plan Schemes 60,920.9 188,922.7 173,261.9 198,433.6 62,383.9 288,957.9 263,612.3 150,861.4
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes 305.9 16,663.9 351.8 404.6 1,366.5 2,093.6 2,274.1 1,364.8
3. Centrally Sponsored Schemes 21,029.0 β β β 29,208.6 β β β
4. NEC/ Special Plan Scheme 646.0 4,131.0 3,623.9 3,986.3 β β β β
5. Non-Plan Grants (a to c) 6,481.3 19,763.0 19,727.2 28,960.8 32,881.4 23,146.3 23,146.3 29,480.1
a) Statutory Grants 4,060.8 7,219.2 7,219.2 10,000.0 28,177.0 20,047.0 20,047.0 25,260.1
b) Grants for relief on account
of Natural Calamities 687.7 2,885.6 2,885.6 β 2,954.1 3,099.3 3,099.3 4,220.0
c) Others 1,732.7 9,658.2 9,622.4 18,960.8 1,750.3 β β β
See 'Notes to Appendix I'.
138Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
CHHATTISGARH GOA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 320,502.7 486,542.9 490,414.4 579,564.5 64,497.7 80,900.9 80,001.0 99,371.8
I. TAX REVENUE (A+B) 222,229.3 278,076.5 275,936.5 362,992.0 44,310.1 50,925.8 50,025.9 62,679.1
A. State's Own Tax Revenue (1 to 3) 143,427.1 179,262.5 181,267.5 200,858.4 35,824.7 40,755.8 40,755.8 42,864.7
1. Taxes on Income (i+ii) 75.9 62.5 67.5 72.5 β β β β
i) Agricultural Income Tax β β β β β β β β
ii) Taxes on Professions,Trades,
Callings and Employment 75.9 62.5 67.5 72.5 β β β β
2. Taxes on Property and Capital
Transactions (i to iii) 12,163.0 17,100.0 17,100.0 18,468.0 8,504.5 7,975.9 7,975.9 7,627.1
i) Land Revenue 2,260.6 4,600.0 4,600.0 4,968.0 4,543.6 2,531.9 2,531.9 2,133.7
ii) Stamps and Registration Fees 9,902.4 12,500.0 12,500.0 13,500.0 3,961.0 5,443.9 5,443.9 5,493.5
iii) Urban Immovable Property Tax β β β β β β β β
3. Taxes on Commodities and Services
(i to vii) 131,188.2 162,100.0 164,100.0 182,317.9 27,320.1 32,780.0 32,780.0 35,237.5
i) Sales Tax (a to e) 79,295.1 98,000.0 98,000.0 109,980.0 17,080.5 23,038.5 23,038.5 23,700.0
a) State Sales Tax/VAT 69,903.2 81,902.3 81,902.3 92,594.5 16,169.5 21,381.0 21,381.0 22,218.0
b) Central Sales Tax 9,281.7 16,095.4 16,095.4 17,383.0 848.3 1,607.5 1,607.5 1,427.0
c) Surcharge on Sales Tax β β β β β β β β
d) Receipts of Turnover Tax β β β β β β β β
e) Other Receipts 110.2 2.3 2.3 2.5 62.7 50.0 50.0 55.0
ii) State Excise 25,491.5 31,500.0 31,500.0 35,280.0 2,357.6 2,900.0 2,900.0 3,000.0
iii) Taxes on Vehicles 6,510.7 8,000.0 8,000.0 8,640.0 1,539.1 1,695.2 1,695.2 1,705.2
iv) Taxes on Goods and Passengers 9,454.4 13,350.0 13,350.0 14,418.0 3,864.1 2,602.3 2,602.3 3,132.3
v) Taxes and Duties on Electricity 10,204.4 11,000.0 13,000.0 14,000.0 β β β β
vi) Entertainment Tax 232.3 250.0 250.0 -0.1 1,095.9 951.5 951.5 1,500.0
vii) Other Taxes and Duties β β β β 1,382.9 1,592.5 1,592.5 2,200.0
B. Share in Central Taxes (i to ix) 78,802.2 98,814.0 94,669.0 162,133.6 8,485.4 10,170.0 9,270.1 19,814.4
i) Corporation Tax 26,502.0 34,203.4 32,000.9 53,652.6 2,854.2 3,583.1 3,255.7 6,584.6
ii) Income Tax 17,450.8 21,171.4 21,092.6 39,611.1 1,879.4 1,949.9 2,225.9 4,861.4
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β β β β β
v) Taxes on Wealth 72.8 85.4 74.2 -1.6 7.8 11.6 0.1 -0.2
vi) Customs 12,857.3 15,967.6 14,842.8 24,903.3 1,384.6 1,879.5 1,482.5 3,056.3
vii) Union Excise Duties 9,080.8 11,242.4 9,823.6 16,196.2 977.8 1,402.2 895.6 1,987.7
viii) Service Tax 12,838.5 16,143.7 16,834.9 27,772.0 1,381.6 1,343.8 1,410.3 3,324.6
ix) Other Taxes and Duties on Commodities
and Services β β β β β β β β
II.NON-TAX REVENUE (C+D) 98,273.3 208,466.4 214,477.9 216,572.5 20,187.6 29,975.0 29,975.1 36,692.8
C. State's Own Non-Tax Revenue (1 to 6) 51,011.7 61,846.2 63,189.8 86,629.9 16,615.6 23,805.1 23,805.2 29,300.2
1. Interest Receipts 3,809.1 3,234.0 3,281.4 2,606.7 141.2 176.5 176.5 275.3
2. Dividends and Profi ts 142.1 30.0 30.0 30.0 11.1 33.2 33.2 33.4
139State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
CHHATTISGARH GOA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 932.2 937.7 1,046.0 1,128.5 1,346.1 2,141.4 2,141.4 2,275.4
of which: State Lotteries β β β β 323.8 404.6 404.6 457.5
4. Social Services ( i to ix) 1,226.8 576.5 493.9 503.1 1,924.1 2,559.7 2,559.8 2,815.2
i) Education, Sports, Art and Culture 67.8 46.5 29.9 56.5 227.8 162.5 162.5 184.0
ii) Medical and Public Health 198.4 148.0 153.6 162.2 114.9 232.1 232.1 248.7
iii) Family Welfare 1.1 1.5 1.5 1.5 β β β β
iv) Housing 32.2 45.3 45.3 48.0 9.1 5.0 5.0 7.0
v) Urban Development β 42.5 42.5 45.0 468.8 707.2 707.2 765.0
vi) Labour and Employment 153.2 110.0 70.4 74.4 59.4 49.9 49.9 70.6
vii) Social Security and Welfare 37.6 0.7 0.7 0.8 4.2 103.9 103.9 82.0
viii) Water Supply and Sanitation 91.7 77.0 45.0 47.0 1,039.7 1,298.9 1,298.9 1,457.5
ix) Others 644.9 105.0 105.0 67.6 0.3 0.3 0.4 0.4
5. Fiscal Services 0.2 β β β β β β β
6. Economic Services ( i to xvii ) 44,901.3 57,067.9 58,338.4 82,361.6 13,193.1 18,894.3 18,894.3 23,900.9
i) Crop Husbandry 97.8 116.5 116.5 128.5 15.8 18.0 18.0 18.0
ii) Animal Husbandry 84.0 55.6 51.0 58.1 18.4 22.9 22.9 26.4
iii) Fisheries 32.9 26.6 26.6 28.2 23.8 28.5 28.5 28.5
iv) Forestry and Wildlife 4,059.1 5,200.0 5,200.0 5,000.0 31.5 34.8 34.8 38.3
v) Plantations β β β β β β β β
vi) Co-operation 108.3 21.0 21.0 21.0 4.8 6.4 6.4 6.4
vii) Other Agricultural Programmes 24.2 10.5 4.9 5.0 0.7 0.7 0.7 0.7
viii) Major and Medium Irrigation Projects 3,486.4 4,215.0 4,215.0 3,925.3 121.1 132.0 132.0 381.6
ix) Minor Irrigation 4,078.1 5,615.0 5,295.0 2,774.7 138.0 163.6 163.6 123.8
x) Power β β β β 11,879.5 13,679.4 13,679.4 14,971.7
xi) Petroleum β β β β β β β β
xii) Village and Small Industries 32.5 21.0 20.1 22.0 40.9 77.4 77.4 82.4
xiii) Industries@ 32,746.3 41,500.0 43,100.0 70,100.0 464.3 4,002.7 4,002.7 7,427.2
xiv) Ports and Light Houses β β β β 43.7 163.7 163.7 194.2
xv) Road Transport β β β β β β β β
xvi) Tourism β β β β 39.4 22.3 22.3 69.0
xvii) Others* 151.7 286.8 288.5 298.7 371.1 542.0 542.0 532.7
D. Grants from the Centre (1 to 5) 47,261.7 146,620.3 151,288.1 129,942.6 3,572.1 6,169.9 6,169.9 7,392.5
1. State Plan Schemes 21,214.7 40,740.0 42,305.4 14,999.1 1,858.8 2,247.7 2,247.7 2,367.7
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes 433.4 11,242.9 12,378.1 12,487.3 62.8 241.9 241.9 577.5
3. Centrally Sponsored Schemes 14,994.5 76,988.3 77,423.1 84,970.9 516.8 1,500.8 1,500.8 2,088.0
4. NEC/ Special Plan Scheme β β β β β β β β
5. Non-Plan Grants (a to c) 10,619.1 17,649.0 19,181.5 17,485.2 1,133.7 2,179.5 2,179.5 2,359.3
a) Statutory Grants β β β β β β β β
b) Grants for relief on account
of Natural Calamities β β β β β 38.5 38.5 38.5
c) Others 10,619.1 17,649.0 19,181.5 17,485.2 1,133.7 2,141.0 2,141.0 2,320.8
See 'Notes to Appendix I'.
140Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
GUJARAT HARYANA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 799,757.4 1,030,534.1 989,849.6 1,092,951.5 380,120.8 476,901.4 454,191.4 523,121.0
I. TAX REVENUE (A+B) 660,743.0 747,042.9 730,670.1 814,164.6 289,098.4 343,847.1 334,027.5 389,294.0
A. State's Own Tax Revenue (1 to 3) 563,723.7 630,675.1 620,670.1 684,164.6 255,666.0 303,747.5 296,027.5 332,494.0
1. Taxes on Income (i+ii) 2,222.2 2,600.0 2,196.5 3,000.0 β β β β
i) Agricultural Income Tax β β β β β β β β
ii) Taxes on Professions,Trades,
Callings and Employment 2,222.2 2,600.0 2,196.5 3,000.0 β β β β
2. Taxes on Property and Capital
Transactions (i to iii) 66,967.2 77,996.3 73,690.6 90,064.6 32,149.0 39,635.0 33,155.0 36,165.0
i) Land Revenue 17,274.1 22,045.0 19,317.2 25,000.0 124.2 135.0 155.0 165.0
ii) Stamps and Registration Fees 47,493.5 54,000.0 52,757.1 59,000.0 32,024.8 39,500.0 33,000.0 36,000.0
iii) Urban Immovable Property Tax 2,199.6 1,951.3 1,616.3 6,064.6 β β β β
3. Taxes on Commodities and Services
(i to vii) 494,534.3 550,078.8 544,783.0 591,100.0 223,517.0 264,112.5 262,872.5 296,329.0
i) Sales Tax (a to e) 409,760.7 470,000.0 452,425.9 498,000.0 167,743.3 199,300.0 199,300.0 228,214.0
a) State Sales Tax/VAT 356,792.1 414,985.0 399,410.9 437,517.7 147,888.4 179,667.8 179,667.8 206,618.6
b) Central Sales Tax 52,908.6 54,890.0 52,890.0 60,344.8 17,608.0 19,632.2 19,632.2 21,595.4
c) Surcharge on Sales Tax β β β β β β β β
d) Receipts of Turnover Tax 0.4 β β β β β β β
e) Other Receipts 59.5 125.0 125.0 137.5 2,246.9 β β β
ii) State Excise 1,098.2 933.1 1,418.2 1,250.0 36,973.5 43,500.0 43,500.0 45,675.0
iii) Taxes on Vehicles 22,828.1 23,628.4 25,991.5 30,000.0 10,948.6 11,750.0 11,750.0 13,160.0
iv) Taxes on Goods and Passengers 8,335.6 1,102.5 2,156.3 1,350.0 4,974.5 6,500.0 5,200.0 6,000.0
v) Taxes and Duties on Electricity 46,927.7 49,000.0 57,759.6 58,000.0 2,192.0 2,322.5 2,322.5 2,400.0
vi) Entertainment Tax 1,339.2 1,152.8 969.5 948.5 523.7 620.0 715.0 790.0
vii) Other Taxes and Duties 4,244.8 4,262.0 4,062.0 1,551.5 161.5 120.0 85.0 90.0
B. Share in Central Taxes (i to ix) 97,019.3 116,367.7 110,000.0 130,000.0 33,432.4 40,099.6 38,000.0 56,800.0
i) Corporation Tax 32,628.7 41,873.7 35,173.7 40,484.4 11,244.6 13,881.2 12,880.0 19,251.8
ii) Income Tax 21,485.0 24,030.3 24,481.0 28,500.0 7,404.3 8,592.2 8,000.0 11,957.7
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β β β β β
v) Taxes on Wealth 89.6 882.7 877.7 965.5 30.8 34.7 30.0 45.9
vi) Customs 15,829.6 21,093.8 21,503.8 28,400.0 5,455.3 6,480.3 6,280.0 9,386.8
vii) Union Excise Duties 11,180.1 14,096.2 13,691.2 15,950.3 3,853.0 4,562.7 4,360.0 6,516.9
viii) Service Tax 15,806.3 14,391.0 14,272.6 15,699.8 5,444.4 6,548.5 6,450.0 9,640.9
ix) Other Taxes and Duties on Commodities
and Services β β β β β β β β
II.NON-TAX REVENUE (C+D) 139,014.4 283,491.2 259,179.5 278,786.9 91,022.3 133,054.3 120,163.9 133,827.0
C. State's Own Non-Tax Revenue (1 to 6) 70,183.1 95,139.6 95,139.5 110,375.3 49,750.6 58,665.7 56,774.5 68,853.9
1. Interest Receipts 12,671.8 12,822.1 14,515.4 16,000.0 10,907.1 11,425.1 12,342.9 12,814.1
2. Dividends and Profi ts 2,774.4 1,200.0 832.4 2,300.0 64.9 83.0 73.4 74.0
141State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
GUJARAT HARYANA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 5,149.4 5,388.0 5,015.4 5,819.1 5,855.0 4,113.2 4,451.5 4,344.8
of which: State Lotteries β β β β β β 0.3 0.3
4. Social Services ( i to ix) 12,170.9 12,732.1 13,790.8 15,954.9 16,876.6 20,561.9 21,734.5 22,420.0
i) Education, Sports, Art and Culture 4,246.0 4,989.5 4,701.3 6,250.0 3,189.4 5,278.3 6,881.5 5,967.7
ii) Medical and Public Health 1,118.7 1,197.8 2,075.7 2,170.0 1,480.7 1,796.1 1,617.7 2,234.3
iii) Family Welfare 86.0 80.2 73.4 80.0 0.4 1.2 1.2 1.3
iv) Housing 1,387.4 761.6 1,309.1 1,300.0 28.1 32.5 32.5 34.0
v) Urban Development 882.4 773.4 398.6 835.3 11,045.4 12,200.0 12,200.0 13,000.0
vi) Labour and Employment 3,645.4 4,451.7 4,498.0 4,528.8 193.2 229.7 229.7 241.2
vii) Social Security and Welfare 101.3 132.0 116.1 125.0 358.1 489.5 350.0 400.0
viii) Water Supply and Sanitation 14.5 9.1 18.9 18.9 553.9 500.0 400.0 514.0
ix) Others 689.2 336.8 599.7 646.9 27.3 34.6 21.9 27.5
5. Fiscal Services 1.5 1.5 1.2 1.5 β β β β
6. Economic Services ( i to xvii ) 37,415.1 62,995.9 60,984.3 70,299.8 16,047.0 22,482.5 18,172.3 29,201.0
i) Crop Husbandry 846.9 387.1 777.6 850.0 271.7 90.0 255.7 157.5
ii) Animal Husbandry 950.0 889.2 1,343.4 1,500.0 152.6 15.6 21.0 16.3
iii) Fisheries 140.1 143.8 553.0 700.0 20.7 32.0 32.0 32.5
iv) Forestry and Wildlife 600.4 497.9 491.7 650.0 373.7 400.0 400.0 400.0
v) Plantations β β β β β β β β
vi) Co-operation 248.3 291.8 222.4 300.0 62.9 51.5 52.9 51.0
vii) Other Agricultural Programmes 164.4 74.0 896.2 1,000.0 92.7 13.9 13.9 14.6
viii) Major and Medium Irrigation Projects 8,975.1 9,042.0 10,519.2 12,000.0 950.4 1,565.0 1,565.0 1,567.5
ix) Minor Irrigation 167.1 151.7 177.0 300.0 1.3 1.5 1.5 1.6
x) Power 86.8 98.9 9.8 11.0 82.2 52.0 80.0 β
xi) Petroleum 0.1 0.1 0.1 0.1 0.3 β β β
xii) Village and Small Industries 118.2 153.4 455.1 493.5 27.2 20.0 20.0 20.0
xiii) Industries@ 15,993.4 41,727.7 35,760.3 41,790.0 791.7 5,001.4 401.8 10,001.0
xiv) Ports and Light Houses 6,368.4 6,487.3 7,299.3 8,000.0 β β β β
xv) Road Transport β β β β 10,975.4 13,100.0 13,000.0 14,500.0
xvi) Tourism 0.9 0.4 0.4 0.5 35.6 30.0 40.0 20.0
xvii) Others* 2,755.0 3,050.6 2,478.8 2,704.7 2,208.5 2,109.6 2,288.5 2,419.0
D. Grants from the Centre (1 to 5) 68,831.3 188,351.6 164,040.0 168,411.6 41,271.8 74,388.6 63,389.4 64,973.2
1. State Plan Schemes 26,044.6 45,276.7 108,687.4 112,686.8 8,566.6 11,555.3 8,360.0 3,354.0
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes 582.1 1,000.0 1,000.0 1,000.0 629.9 26,675.5 25,175.0 32,526.4
3. Centrally Sponsored Schemes 21,412.5 106,632.4 18,910.1 19,282.4 9,513.6 12,377.9 12,955.5 14,818.3
4. NEC/ Special Plan Scheme β β β β β β β β
5. Non-Plan Grants (a to c) 20,792.1 35,442.5 35,442.5 35,442.5 22,561.7 23,779.9 16,899.0 14,274.5
a) Statutory Grants 7,891.4 15,805.0 15,805.0 15,805.0 2,160.1 50.0 β β
b) Grants for relief on account
of Natural Calamities 4,359.5 4,637.5 4,637.5 4,637.5 2,404.7 2,344.8 4,271.8 2,770.0
c) Others 8,541.3 15,000.0 15,000.0 15,000.0 17,997.0 21,385.1 12,627.2 11,504.5
See 'Notes to Appendix I'.
142Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
HIMACHAL PRADESH JAMMU AND KASHMIR
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 157,110.7 165,221.5 189,069.6 235,345.3 271,279.8 392,202.5 345,413.8 378,149.2
I. TAX REVENUE (A+B) 76,124.4 87,023.3 90,625.1 101,845.1 104,148.5 126,869.6 109,156.3 160,938.2
A. State's Own Tax Revenue (1 to 3) 51,209.1 53,383.0 56,984.7 63,408.0 62,727.5 74,958.6 64,384.0 80,059.4
1. Taxes on Income (i+ii) β β β β β β β β
i) Agricultural Income Tax β β β β β β β β
ii) Taxes on Professions,Trades,
Callings and Employment β β β β β β β β
2. Taxes on Property and Capital
Transactions (i to iii) 1,974.8 2,242.4 2,242.4 2,310.6 2,766.4 3,657.9 2,573.8 3,663.2
i) Land Revenue 99.8 151.2 151.2 156.6 159.7 418.5 422.2 423.2
ii) Stamps and Registration Fees 1,875.0 2,091.1 2,091.1 2,154.0 2,606.8 3,239.4 2,151.6 3,240.0
iii) Urban Immovable Property Tax β β β β β β β β
3. Taxes on Commodities and Services
(i to vii) 49,234.3 51,140.6 54,742.4 61,097.5 59,961.0 71,300.7 61,810.2 76,396.2
i) Sales Tax (a to e) 31,411.0 31,956.2 34,700.1 39,370.1 45,788.1 53,440.0 45,300.0 57,440.0
a) State Sales Tax/VAT 25,848.1 27,085.3 29,500.0 β 39,817.0 53,440.0 45,300.0 57,440.0
b) Central Sales Tax 3,946.8 2,909.2 2,920.0 3,212.0 β β β β
c) Surcharge on Sales Tax β β β β 12.3 β β β
d) Receipts of Turnover Tax β β β β β β β β
e) Other Receipts 1,616.0 1,961.7 2,280.1 36,158.1 5,958.8 β β β
ii) State Excise 9,519.6 9,407.4 10,458.9 11,377.3 4,400.6 4,620.0 4,620.0 4,850.0
iii) Taxes on Vehicles 2,078.1 2,141.4 2,141.4 2,271.5 1,342.3 1,594.5 1,604.0 1,830.0
iv) Taxes on Goods and Passengers 1,049.5 1,261.8 1,208.9 1,272.7 5,655.3 6,350.0 5,620.0 6,980.0
v) Taxes and Duties on Electricity 1,913.6 2,620.1 2,620.1 3,084.5 2,769.5 5,290.2 4,660.2 5,290.2
vi) Entertainment Tax 6.5 70.9 11.6 11.9 5.2 6.0 6.0 6.0
vii) Other Taxes and Duties 3,256.1 3,682.9 3,601.3 3,709.4 β β β β
B. Share in Central Taxes (i to ix) 24,915.3 33,640.3 33,640.3 38,437.1 41,421.0 51,911.0 44,772.3 80,878.8
i) Corporation Tax 8,379.9 11,645.9 11,645.9 12,820.2 16,641.6 23,148.6 17,692.2 36,066.0
ii) Income Tax 5,517.9 7,208.3 7,208.3 9,169.7 10,958.0 11,574.3 10,897.3 18,033.0
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β β β β β
v) Taxes on Wealth 23.0 26.8 26.8 -0.4 45.7 93.0 87.6 145.0
vi) Customs 4,065.4 5,436.7 5,436.7 6,265.0 8,073.6 10,416.8 9,807.5 16,229.8
vii) Union Excise Duties 2,871.3 3,827.6 3,827.6 3,849.3 5,702.1 6,678.3 6,287.7 10,405.0
viii) Service Tax 4,057.7 5,495.0 5,495.0 6,333.3 β β β β
ix) Other Taxes and Duties on Commodities
and Services 0.1 β β β β β β β
II.NON-TAX REVENUE (C+D) 80,986.4 78,198.2 98,444.6 133,500.2 167,131.4 265,333.0 236,257.5 217,211.0
C. State's Own Non-Tax Revenue (1 to 6) 17,845.3 13,887.9 13,991.0 15,072.0 28,696.9 35,605.7 31,536.6 35,091.8
1. Interest Receipts 1,186.1 699.6 699.6 709.3 128.0 229.1 231.9 228.1
2. Dividends and Profi ts 1,034.3 1,009.0 1,009.0 1,010.6 1,288.8 1,300.0 500.0 550.0
143State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
HIMACHAL PRADESH JAMMU AND KASHMIR
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 1,192.8 1,445.3 1,445.6 1,579.0 1,127.9 1,193.0 1,408.4 1,194.0
of which: State Lotteries β β β β β β β β
4. Social Services ( i to ix) 2,249.4 2,084.9 2,084.9 2,666.3 727.3 834.0 813.0 874.4
i) Education, Sports, Art and Culture 1,567.8 1,286.8 1,286.8 1,870.5 44.6 49.4 22.0 25.8
ii) Medical and Public Health 50.4 118.6 118.6 86.7 157.0 236.1 237.7 242.1
iii) Family Welfare 0.3 0.2 0.2 0.4 0.1 β β β
iv) Housing 37.2 37.5 37.5 39.4 27.3 22.7 27.6 28.6
v) Urban Development 93.5 61.7 61.7 65.1 5.3 2.8 2.8 2.9
vi) Labour and Employment 67.7 84.5 84.5 74.1 82.4 27.5 27.5 27.5
vii) Social Security and Welfare 48.4 55.9 55.9 55.9 28.9 0.5 0.5 0.5
viii) Water Supply and Sanitation 373.8 416.1 416.1 457.7 380.3 495.0 495.0 547.0
ix) Others 10.3 23.4 23.4 16.4 1.4 0.1 β 0.1
5. Fiscal Services β β β β β β β β
6. Economic Services ( i to xvii ) 12,182.7 8,649.1 8,751.9 9,106.8 25,424.9 32,049.6 28,583.3 32,245.3
i) Crop Husbandry 88.6 83.2 83.2 87.3 79.3 93.3 81.5 93.5
ii) Animal Husbandry 8.5 6.7 6.7 8.8 67.7 70.3 71.6 76.5
iii) Fisheries 25.6 17.6 17.6 21.1 49.9 53.2 47.2 53.2
iv) Forestry and Wildlife 3,578.3 731.6 731.6 731.6 679.0 695.2 708.0 773.4
v) Plantations β 0.1 0.1 0.1 β β β β
vi) Co-operation 153.0 36.6 139.3 29.0 1.3 2.0 2.0 2.0
vii) Other Agricultural Programmes 3.5 4.9 4.9 5.0 3.9 5.7 5.7 6.0
viii) Major and Medium Irrigation Projects 3.7 8.1 8.1 8.9 8,441.6 462.5 462.5 462.5
ix) Minor Irrigation 7.0 14.2 14.2 14.6 100.8 127.3 147.3 167.3
x) Power 6,962.9 6,050.0 6,050.0 6,500.0 15,330.9 29,796.0 26,299.0 29,796.0
xi) Petroleum β β β β β β β β
xii) Village and Small Industries 4.9 4.8 4.8 4.8 40.2 31.6 30.4 36.6
xiii) Industries@ 1,163.7 1,467.5 1,467.5 1,467.5 533.5 601.0 604.0 651.0
xiv) Ports and Light Houses β β β β β β β β
xv) Road Transport 10.6 9.9 9.9 8.1 β β β β
xvi) Tourism 5.8 13.6 13.6 14.6 21.6 27.0 35.0 37.7
xvii) Others* 166.6 200.5 200.5 205.3 75.3 84.4 89.1 89.8
D. Grants from the Centre (1 to 5) 63,141.1 64,310.2 84,453.6 118,428.2 138,434.5 229,727.2 204,720.9 182,119.1
1. State Plan Schemes 37,648.8 51,025.1 53,311.7 10,443.9 90,080.8 149,720.0 103,754.9 6,010.0
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes 169.7 306.7 306.7 280.0 1,195.1 2,209.4 2,209.4 β
3. Centrally Sponsored Schemes 5,074.3 3,000.1 15,408.7 23,260.8 7,067.1 40,038.3 60,060.7 60,068.0
4. NEC/ Special Plan Scheme β β β β β β β β
5. Non-Plan Grants (a to c) 20,248.3 9,978.3 15,426.5 84,443.5 40,091.5 37,759.5 38,695.9 116,041.1
a) Statutory Grants 17,432.3 8,417.1 8,417.1 82,237.5 30,778.5 4,263.0 4,263.0 4,992.6
b) Grants for relief on account
of Natural Calamities 1,402.4 1,470.6 1,470.6 2,120.0 4,239.3 1,926.6 1,926.6 2,290.0
c) Others 1,413.6 90.6 5,538.8 86.0 5,073.7 31,569.9 32,506.3 108,758.5
See 'Notes to Appendix I'.
144Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
JHARKHAND KARNATAKA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 261,367.9 434,437.5 439,036.8 480,273.0 895,425.3 1,110,386.2 1,089,077.4 1,163,603.2
I. TAX REVENUE (A+B) 183,191.1 226,912.9 231,986.3 267,010.5 764,118.1 864,297.6 839,640.9 1,012,351.8
A. State's Own Tax Revenue (1 to 3) 93,797.9 118,126.8 133,140.0 147,007.8 626,035.4 698,697.5 685,540.9 764,453.9
1. Taxes on Income (i+ii) 499.1 800.0 613.8 800.0 8,142.9 9,730.0 8,848.8 10,090.0
i) Agricultural Income Tax β β β β 213.2 280.0 202.1 230.0
ii) Taxes on Professions,Trades,
Callings and Employment 499.1 800.0 613.8 800.0 7,929.8 9,450.0 8,646.7 9,860.0
2. Taxes on Property and Capital
Transactions (i to iii) 7,324.5 8,452.8 9,806.2 11,000.0 63,882.6 76,827.5 72,998.2 84,206.6
i) Land Revenue 2,298.4 2,101.2 3,001.4 3,000.0 1,994.9 2,327.5 1,998.2 2,206.6
ii) Stamps and Registration Fees 5,026.0 6,351.5 6,804.8 8,000.0 61,887.6 74,500.0 71,000.0 82,000.0
iii) Urban Immovable Property Tax β β β β β β β β
3. Taxes on Commodities and Services
(i to vii) 85,974.3 108,874.0 122,720.0 135,207.8 554,009.9 612,140.0 603,693.9 670,157.3
i) Sales Tax (a to e) 73,050.8 89,552.0 92,679.5 111,800.2 337,193.5 372,500.0 369,248.0 413,290.0
a) State Sales Tax/VAT 61,176.5 76,857.6 77,614.6 94,440.0 309,141.8 357,500.0 352,606.8 394,320.0
b) Central Sales Tax 11,882.8 12,691.8 15,075.8 17,372.7 28,051.7 15,000.0 16,641.2 18,970.0
c) Surcharge on Sales Tax 0.1 β 0.1 0.1 β β β β
d) Receipts of Turnover Tax 0.4 β 0.5 0.5 β β β β
e) Other Receipts -9.0 2.6 -11.4 -13.2 β β β β
ii) State Excise 6,279.3 8,500.0 19,318.4 12,000.0 128,283.6 144,300.0 137,507.9 152,000.0
iii) Taxes on Vehicles 4,947.9 7,104.4 8,363.3 9,007.6 39,115.0 43,500.0 43,500.0 48,000.0
iv) Taxes on Goods and Passengers 10.8 1,500.0 1.5 50.0 26,256.6 28,900.0 30,288.7 31,010.0
v) Taxes and Duties on Electricity 1,457.9 1,867.6 1,938.2 2,000.0 8,965.8 9,350.0 9,814.8 11,507.4
vi) Entertainment Tax 226.9 21.5 417.8 348.9 1,462.2 2,290.0 1,927.4 2,200.0
vii) Other Taxes and Duties 0.7 328.5 1.3 1.1 12,733.2 11,300.0 11,407.1 12,149.9
B. Share in Central Taxes (i to ix) 89,393.2 108,786.2 98,846.3 120,002.7 138,082.7 165,600.1 154,100.0 247,897.9
i) Corporation Tax 30,064.3 41,984.7 32,346.2 46,314.1 46,437.6 57,318.8 53,338.3 82,098.9
ii) Income Tax 19,796.5 20,650.1 23,090.6 22,778.7 30,577.7 35,479.9 33,016.0 60,612.7
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β β β β β
v) Taxes on Wealth 82.6 79.0 82.6 87.1 127.5 143.2 133.3 -2.4
vi) Customs 14,585.5 17,503.8 15,581.7 19,308.3 22,529.0 26,758.5 24,900.3 38,106.9
vii) Union Excise Duties 10,301.4 13,418.5 10,290.1 14,802.1 15,911.6 18,840.9 17,532.5 24,783.4
viii) Service Tax 14,562.9 15,150.0 17,455.1 16,712.4 22,499.3 27,058.8 25,179.7 42,298.4
ix) Other Taxes and Duties on Commodities
and Services β β β β β β β β
II.NON-TAX REVENUE (C+D) 78,176.8 207,524.6 207,050.5 213,262.5 131,307.2 246,088.6 249,436.5 151,251.4
C. State's Own Non-Tax Revenue (1 to 6) 37,527.1 49,669.9 56,930.1 63,041.3 40,318.9 44,734.3 44,653.3 52,061.7
1. Interest Receipts 694.8 1,450.0 2,433.6 900.0 6,931.7 4,500.0 7,314.9 7,541.6
2. Dividends and Profi ts 180.0 300.0 180.0 275.0 554.9 700.0 764.3 764.4
145State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
JHARKHAND KARNATAKA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 941.5 3,421.3 959.1 1,496.1 6,116.6 7,341.4 5,600.3 8,151.2
of which: State Lotteries β β β β β β β β
4. Social Services ( i to ix) 1,197.8 1,303.3 2,720.1 1,686.7 4,914.9 6,991.9 5,887.1 7,148.2
i) Education, Sports, Art and Culture 239.1 340.0 1,382.2 305.0 1,200.9 2,881.8 2,059.7 2,168.7
ii) Medical and Public Health 198.6 200.0 185.5 250.0 2,075.4 2,348.6 2,251.3 3,238.3
iii) Family Welfare 0.7 1.0 11.2 5.0 1.1 1.6 2.7 2.9
iv) Housing 9.3 12.0 19.2 22.4 549.1 601.1 579.2 618.0
v) Urban Development 90.9 2.0 368.7 154.1 13.9 23.5 23.5 44.5
vi) Labour and Employment 427.0 100.0 476.4 500.0 429.9 428.1 428.1 465.5
vii) Social Security and Welfare 52.4 240.9 36.2 100.0 547.5 574.0 155.5 197.2
viii) Water Supply and Sanitation 138.0 237.8 178.6 250.0 2.8 5.0 5.0 5.0
ix) Others 41.8 169.6 62.0 100.1 94.3 128.3 381.9 408.1
5. Fiscal Services β β β β β β β β
6. Economic Services ( i to xvii ) 34,513.1 43,195.3 50,637.2 58,683.4 21,800.8 25,200.9 25,086.7 28,456.3
i) Crop Husbandry 123.0 80.0 149.7 168.0 534.1 381.7 386.8 441.7
ii) Animal Husbandry 40.2 50.0 27.0 51.0 118.6 55.9 89.1 108.9
iii) Fisheries 44.3 100.0 49.0 100.0 67.0 97.1 169.9 181.0
iv) Forestry and Wildlife 51.7 64.3 41.8 103.9 1,611.4 1,926.3 1,804.6 1,884.9
v) Plantations β β β β β β β β
vi) Co-operation 45.8 50.0 331.3 100.0 504.5 545.7 545.7 453.2
vii) Other Agricultural Programmes 1.8 3.3 2.1 3.5 0.5 1.0 0.3 3.0
viii) Major and Medium Irrigation Projects 868.9 1,500.0 210.8 1,500.0 376.6 381.3 358.1 487.5
ix) Minor Irrigation 31.1 30.5 33.8 88.0 56.2 175.0 500.0 540.5
x) Power 62.6 93.2 137.7 100.0 395.4 600.0 642.0 639.8
xi) Petroleum β β β β β β β β
xii) Village and Small Industries 5.9 65.2 38.1 10.0 950.8 971.0 455.3 497.2
xiii) Industries@ 32,303.4 40,272.1 47,015.5 55,006.0 14,829.8 17,606.3 17,821.9 20,594.4
xiv) Ports and Light Houses β β β β 29.8 33.0 29.2 33.6
xv) Road Transport 1.0 5.5 0.1 5.5 β β β 0.1
xvi) Tourism 25.8 β 10.5 40.0 4.3 5.5 14.5 15.7
xvii) Others* 907.5 881.2 2,589.9 1,407.4 2,321.8 2,421.0 2,269.3 2,574.8
D. Grants from the Centre (1 to 5) 40,649.7 157,854.7 150,120.4 150,221.2 90,988.2 201,354.3 204,783.2 99,189.7
1. State Plan Schemes 15,658.3 52,031.5 42,031.5 32,876.1 35,155.5 157,451.1 149,030.8 70,513.5
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes 282.8 5,109.6 6,455.1 5,612.6 1,917.0 4,424.2 4,363.3 1,616.9
3. Centrally Sponsored Schemes 11,509.6 79,740.1 79,649.3 90,488.9 24,261.8 10,340.1 11,858.2 6,339.5
4. NEC/ Special Plan Scheme β β β β β β β β
5. Non-Plan Grants (a to c) 13,199.1 20,973.6 21,984.5 21,243.6 29,653.9 29,138.9 39,530.9 20,719.8
a) Statutory Grants 11,317.9 10,660.8 18,851.1 18,215.8 390.9 β β β
b) Grants for relief on account
of Natural Calamities 1,126.3 β 1,876.0 1,812.7 1,437.5 1,507.4 1,507.4 2,070.0
c) Others 754.9 10,312.8 1,257.4 1,215.0 27,825.5 27,631.5 38,023.5 18,649.8
See 'Notes to Appendix I'.
146Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
KERALA MADHYA PRADESH
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 491,769.3 648,423.5 635,883.2 774,272.0 757,492.4 1,034,931.6 1,046,211.0 1,144,228.9
I. TAX REVENUE (A+B) 394,637.0 518,328.5 462,110.0 585,498.0 562,674.3 666,711.1 664,787.9 738,973.4
A. State's Own Tax Revenue (1 to 3) 319,950.2 424,674.9 382,847.1 454,280.3 335,521.6 389,898.8 391,898.8 434,476.9
1. Taxes on Income (i+ii) 215.5 263.5 241.1 283.3 2,751.2 2,800.0 2,800.0 5,000.0
i) Agricultural Income Tax 215.5 263.5 241.1 283.3 β β β β
ii) Taxes on Professions,Trades,
Callings and Employment β β β β 2,751.2 2,800.0 2,800.0 5,000.0
2. Taxes on Property and Capital
Transactions (i to iii) 27,582.0 39,933.8 40,326.9 45,612.9 44,331.9 54,001.0 56,001.0 60,000.0
i) Land Revenue 887.8 1,695.7 1,461.3 1,384.6 3,662.3 7,001.0 7,001.0 5,000.0
ii) Stamps and Registration Fees 25,932.9 37,336.7 37,887.5 43,113.3 34,000.0 40,000.0 42,000.0 47,000.0
iii) Urban Immovable Property Tax 761.4 901.4 978.1 1,115.0 6,669.5 7,000.0 7,000.0 8,000.0
3. Taxes on Commodities and Services
(i to vii) 292,152.6 384,477.7 342,279.2 408,384.1 288,438.6 333,097.8 333,097.8 369,476.9
i) Sales Tax (a to e) 248,852.5 319,134.7 291,354.1 347,122.8 166,498.5 195,000.0 195,000.0 213,000.0
a) State Sales Tax/VAT 244,363.4 312,024.4 286,207.4 340,833.2 157,063.7 185,000.0 185,000.0 202,000.0
b) Central Sales Tax 3,314.9 4,590.4 3,826.4 4,739.1 9,434.8 10,000.0 10,000.0 11,000.0
c) Surcharge on Sales Tax 0.5 β 0.5 0.5 β β β β
d) Receipts of Turnover Tax β β β β β β β β
e) Other Receipts 1,173.6 2,519.9 1,319.9 1,550.0 β β β β
ii) State Excise 19,417.2 32,083.6 19,771.1 26,006.6 59,073.9 67,300.0 67,300.0 78,000.0
iii) Taxes on Vehicles 21,610.9 27,998.2 27,422.0 30,873.5 15,989.3 20,000.0 20,000.0 23,000.0
iv) Taxes on Goods and Passengers β β β β 25,787.4 29,000.0 29,000.0 32,000.0
v) Taxes and Duties on Electricity 422.5 3,091.4 1,590.0 1,890.6 19,722.0 20,500.0 20,500.0 22,000.0
vi) Entertainment Tax 3.5 5.8 4.8 5.4 541.9 596.0 596.0 650.0
vii) Other Taxes and Duties 1,846.0 2,163.9 2,137.1 2,485.2 825.5 701.8 701.8 826.9
B. Share in Central Taxes (i to ix) 74,686.8 93,653.6 79,262.9 131,217.7 227,152.7 276,812.3 272,889.1 304,496.5
i) Corporation Tax 25,117.9 32,417.1 27,810.7 43,549.2 76,394.6 92,245.4 92,245.4 101,469.9
ii) Income Tax 16,539.4 20,065.7 19,013.8 32,151.8 50,303.6 65,711.9 60,801.3 72,283.1
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β β -2.7 β β
v) Taxes on Wealth 68.9 81.1 68.3 -1.3 209.8 214.0 214.0 235.4
vi) Customs 12,185.8 15,133.6 12,663.5 20,213.7 37,062.4 42,674.0 42,785.6 46,941.4
vii) Union Excise Duties 8,606.6 10,655.2 7,650.0 13,146.3 26,176.4 27,555.4 28,317.5 30,310.9
viii) Service Tax 12,168.2 15,300.9 12,056.5 22,158.0 37,006.0 48,414.4 48,525.4 53,255.8
ix) Other Taxes and Duties on Commodities
and Services β β β β -0.1 -0.1 -0.1 -0.1
II.NON-TAX REVENUE (C+D) 97,132.4 130,095.0 173,773.2 188,774.0 194,818.1 368,220.5 381,423.1 405,255.5
C. State's Own Non-Tax Revenue (1 to 6) 55,750.3 63,374.7 78,834.5 89,311.2 77,049.9 67,588.6 95,976.4 101,242.8
1. Interest Receipts 1,494.6 1,794.5 1,783.7 2,007.0 3,178.5 11,336.0 3,496.5 3,833.7
2. Dividends and Profi ts 1,005.8 1,459.5 1,430.0 1,700.0 3,787.2 422.6 601.2 325.7
147State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
KERALA MADHYA PRADESH
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 42,288.5 47,638.5 62,166.3 69,613.5 5,982.8 4,045.6 6,559.3 5,573.9
of which: State Lotteries 37,957.0 42,350.0 56,915.5 63,667.0 β β β β
4. Social Services ( i to ix) 4,222.8 4,137.8 4,793.1 5,524.9 21,973.7 3,482.8 33,236.1 34,388.5
i) Education, Sports, Art and Culture 3,081.3 2,531.5 3,127.1 3,697.1 20,084.9 1,577.4 30,406.7 31,921.8
ii) Medical and Public Health 917.6 1,288.1 1,306.2 1,402.6 577.6 562.5 852.2 1,015.6
iii) Family Welfare 1.7 1.2 1.5 1.4 1.6 2.0 2.0 2.0
iv) Housing 14.6 20.2 20.2 22.6 171.9 200.1 200.0 220.1
v) Urban Development 20.5 35.0 32.2 34.0 357.2 372.9 372.9 413.0
vi) Labour and Employment 164.9 178.3 236.3 286.6 171.7 160.1 151.5 152.5
vii) Social Security and Welfare 10.6 39.0 39.0 42.0 82.3 117.6 415.4 132.2
viii) Water Supply and Sanitation β β β 0.1 103.3 102.5 102.5 128.4
ix) Others 11.5 44.5 30.6 38.5 423.2 387.8 732.8 403.0
5. Fiscal Services β β β β 0.4 β β β
6. Economic Services ( i to xvii ) 6,738.6 8,344.4 8,661.4 10,465.7 42,127.3 48,301.5 52,083.4 57,120.9
i) Crop Husbandry 115.0 134.9 136.4 144.8 277.6 282.1 282.1 285.8
ii) Animal Husbandry 59.4 60.8 64.8 70.4 49.0 36.4 36.7 36.7
iii) Fisheries 77.5 96.5 99.3 108.6 37.4 42.7 42.7 42.7
iv) Forestry and Wildlife 3,299.5 3,761.7 3,832.3 4,687.3 10,368.0 12,502.2 12,503.2 12,503.1
v) Plantations β β β β β β β β
vi) Co-operation 1,123.6 1,111.2 1,194.8 1,241.1 122.4 99.7 100.2 100.2
vii) Other Agricultural Programmes 3.7 3.5 1.8 2.1 34.1 55.0 55.0 55.0
viii) Major and Medium Irrigation Projects 118.8 268.4 206.5 292.3 1,384.8 1,200.9 1,691.8 1,860.9
ix) Minor Irrigation 63.6 93.3 88.6 94.1 2,193.7 2,815.4 2,890.3 3,142.5
x) Power β β β β 3,786.6 5,841.2 6,996.4 6,621.4
xi) Petroleum 0.1 0.1 0.1 0.2 β β β β
xii) Village and Small Industries 41.7 99.4 108.6 128.9 17.7 27.0 28.8 28.9
xiii) Industries@ 599.6 830.8 810.3 1,408.8 23,612.2 25,220.0 27,250.0 32,230.0
xiv) Ports and Light Houses 207.3 673.9 805.2 564.5 β β β β
xv) Road Transport 499.4 510.5 592.5 615.0 β β β β
xvi) Tourism 61.9 75.7 77.7 80.2 β β β β
xvii) Others* 467.6 623.7 642.5 1,027.4 243.9 179.1 206.1 213.7
D. Grants from the Centre (1 to 5) 41,382.1 66,720.2 94,938.7 99,462.8 117,768.2 300,631.9 285,446.7 304,012.7
1. State Plan Schemes 11,542.3 27,304.2 19,262.0 536.5 55,357.8 232,218.0 219,767.3 254,649.9
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes 865.8 686.6 699.4 106.7 1,527.1 20,943.9 18,209.4 19,091.1
3. Centrally Sponsored Schemes 12,180.0 26,118.7 61,000.7 43,185.4 25,480.9 β β β
4. NEC/ Special Plan Scheme β β β β β β β β
5. Non-Plan Grants (a to c) 16,794.0 12,610.7 13,976.7 55,634.2 35,402.5 47,470.0 47,470.0 30,271.7
a) Statutory Grants 14,465.5 11,219.9 12,585.9 54,254.2 26,395.4 42,240.4 42,240.4 25,000.0
b) Grants for relief on account
of Natural Calamities 1,215.1 1,195.0 1,195.0 1,380.0 3,410.0 3,730.4 3,730.4 4,117.5
c) Others 1,113.4 195.8 195.8 β 5,597.1 1,499.2 1,499.2 1,154.2
See 'Notes to Appendix I'.
148Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
MAHARASHTRA MANIPUR
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 1,498,218.0 1,803,201.6 1,807,939.0 1,982,305.0 72,827.9 88,264.2 99,632.7 86,578.6
I. TAX REVENUE (A+B) 1,252,283.9 1,388,535.2 1,366,149.1 1,596,966.6 19,115.2 23,741.9 23,420.9 39,092.4
A. State's Own Tax Revenue (1 to 3) 1,085,980.0 1,185,890.3 1,189,565.3 1,305,762.2 4,727.3 6,208.3 5,887.3 6,711.6
1. Taxes on Income (i+ii) 21,654.8 21,384.0 21,384.0 23,094.7 248.8 446.9 283.7 323.4
i) Agricultural Income Tax β β β β β β β β
ii) Taxes on Professions,Trades,
Callings and Employment 21,654.8 21,384.0 21,384.0 23,094.7 248.8 446.9 283.7 323.4
2. Taxes on Property and Capital
Transactions (i to iii) 197,648.3 212,932.9 212,940.2 242,001.5 90.2 83.8 102.8 117.2
i) Land Revenue 10,888.5 18,672.9 18,732.9 32,001.5 11.2 12.4 12.7 14.5
ii) Stamps and Registration Fees 186,759.8 194,260.0 194,207.3 210,000.0 79.0 71.4 90.1 102.7
iii) Urban Immovable Property Tax β β β β β β β β
3. Taxes on Commodities and Services
(i to vii) 866,676.9 951,573.4 955,241.1 1,040,666.0 4,388.3 5,677.6 5,500.8 6,270.9
i) Sales Tax (a to e) 625,300.4 690,896.0 690,896.0 746,167.7 3,957.4 5,000.0 5,000.0 5,700.0
a) State Sales Tax/VAT 576,224.9 642,954.7 642,954.7 687,301.0 3,957.4 5,000.0 5,000.0 5,700.0
b) Central Sales Tax 47,693.0 46,469.1 46,469.1 47,298.1 β β β β
c) Surcharge on Sales Tax 136.3 β β β β β β β
d) Receipts of Turnover Tax β β β β β β β β
e) Other Receipts 1,246.1 1,472.2 1,472.2 11,568.6 β β β β
ii) State Excise 101,011.2 115,000.0 115,000.0 135,000.0 92.0 145.2 104.9 119.6
iii) Taxes on Vehicles 50,959.2 52,500.0 52,441.7 56,936.7 187.3 223.1 223.1 254.3
iv) Taxes on Goods and Passengers 12,406.8 10,978.0 10,978.0 11,500.0 12.4 20.7 14.1 16.1
v) Taxes and Duties on Electricity 60,839.0 65,010.0 68,736.0 71,500.0 0.5 5.0 0.5 0.6
vi) Entertainment Tax 7,356.3 5,783.1 5,783.1 6,581.3 138.7 283.6 158.2 180.3
vii) Other Taxes and Duties 8,804.1 11,406.3 11,406.3 12,980.3 β β β β
B. Share in Central Taxes (i to ix) 166,303.9 202,644.9 176,583.8 291,204.5 14,387.9 17,533.6 17,533.6 32,380.8
i) Corporation Tax 55,783.0 67,357.3 58,344.4 96,173.9 4,839.0 5,843.1 5,843.1 10,747.9
ii) Income Tax 36,731.4 47,982.6 43,505.0 71,004.1 3,186.4 4,162.4 4,162.4 7,935.1
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β β β β β
v) Taxes on Wealth 153.1 156.2 156.3 -2.8 13.3 13.5 13.5 -0.3
vi) Customs 27,062.9 31,160.4 28,974.8 44,640.0 2,347.7 2,703.1 2,703.1 4,988.7
vii) Union Excise Duties 19,113.5 20,120.9 17,503.9 29,032.2 1,658.0 1,745.4 1,745.4 3,244.5
viii) Service Tax 27,021.9 35,353.5 27,585.4 49,772.1 2,343.5 3,066.1 3,066.1 5,464.9
ix) Other Taxes and Duties on Commodities
and Services 438.1 514.0 514.0 585.0 β β β β
II.NON-TAX REVENUE (C+D) 245,934.1 414,666.3 441,789.8 385,338.4 53,712.7 64,522.3 76,211.8 47,486.2
C. State's Own Non-Tax Revenue (1 to 6) 113,519.7 135,090.2 135,197.0 206,648.7 2,606.7 2,840.6 2,031.7 2,194.2
1. Interest Receipts 39,338.1 29,737.0 29,737.0 29,737.0 331.0 335.2 357.5 386.1
2. Dividends and Profi ts 196.8 1,121.5 1,121.5 1,122.6 β β β β
149State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
MAHARASHTRA MANIPUR
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 11,135.1 16,381.2 16,437.9 36,937.7 1,159.7 2,105.2 1,252.5 1,352.7
of which: State Lotteries 824.0 1,648.7 1,658.7 1,741.6 1,108.3 1,841.2 1,196.9 1,292.7
4. Social Services ( i to ix) 17,790.6 26,352.7 27,514.5 72,913.8 63.0 216.0 234.4 253.1
i) Education, Sports, Art and Culture 3,191.6 3,784.3 3,784.3 3,973.2 20.5 14.8 22.1 23.9
ii) Medical and Public Health 3,195.5 2,798.1 2,798.3 3,409.7 2.9 1.3 3.1 3.3
iii) Family Welfare 296.7 323.1 410.7 373.1 β β β β
iv) Housing 314.1 643.5 643.5 10,675.7 17.0 9.3 18.3 19.8
v) Urban Development 5,441.6 15,000.9 15,448.5 50,001.4 β β β β
vi) Labour and Employment 1,352.3 804.2 1,059.7 930.6 0.5 0.6 0.5 0.5
vii) Social Security and Welfare 2,503.2 1,964.9 2,048.3 2,150.5 β 0.1 β 0.1
viii) Water Supply and Sanitation 267.5 249.2 249.2 274.2 21.1 189.1 189.1 204.2
ix) Others 1,228.0 784.6 1,072.0 1,125.6 1.1 0.8 1.1 1.2
5. Fiscal Services 0.3 β β β 0.1 β 0.1 0.1
6. Economic Services ( i to xvii ) 45,058.7 61,497.9 60,386.2 65,937.7 1,052.9 184.2 187.3 202.3
i) Crop Husbandry 1,122.7 1,163.5 1,163.5 1,221.6 2.4 3.6 2.6 2.8
ii) Animal Husbandry 349.1 436.6 442.5 464.6 1.2 1.6 1.3 1.4
iii) Fisheries 81.6 194.1 194.1 203.8 1.0 1.5 1.1 1.2
iv) Forestry and Wildlife 1,888.1 3,560.2 3,560.2 3,738.2 37.1 41.8 40.1 43.3
v) Plantations β β β β β β β β
vi) Co-operation 920.6 1,492.0 1,492.0 1,566.6 2.2 3.4 2.4 2.6
vii) Other Agricultural Programmes 20.3 57.5 57.5 63.3 0.5 β 0.5 0.6
viii) Major and Medium Irrigation Projects 4,969.1 7,985.3 7,985.3 9,389.0 24.2 114.6 114.6 123.8
ix) Minor Irrigation 999.2 581.8 581.8 610.9 1.4 2.5 2.5 2.7
x) Power 6,175.0 8,500.0 8,500.0 8,280.0 962.3 β β β
xi) Petroleum 0.3 β β β β β β β
xii) Village and Small Industries 52.2 44.3 55.8 46.5 1.8 2.9 2.0 2.2
xiii) Industries@ 21,496.2 27,827.9 27,827.8 30,165.7 11.1 1.6 12.0 13.0
xiv) Ports and Light Houses β β β β β β β β
xv) Road Transport β β β β β β β β
xvi) Tourism 14.3 β β β 2.8 0.9 3.0 3.3
xvii) Others* 6,970.0 9,654.6 8,525.7 10,187.4 4.8 9.7 5.1 5.5
D. Grants from the Centre (1 to 5) 132,414.4 279,576.1 306,592.8 178,689.7 51,106.0 61,681.8 74,180.1 45,292.0
1. State Plan Schemes 36,835.7 69,874.0 69,874.0 570.3 26,744.1 41,090.2 52,315.6 22,099.5
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes 6,482.5 43,025.7 31,642.6 19,693.2 136.4 1,651.0 1,366.7 1,343.7
3. Centrally Sponsored Schemes 33,770.4 108,336.3 119,067.7 99,494.7 6,526.8 3,428.8 3,475.8 630.6
4. NEC/ Special Plan Scheme β β β β β β β β
5. Non-Plan Grants (a to c) 55,325.8 58,340.1 86,008.5 58,931.5 17,698.7 15,511.7 17,022.1 21,218.2
a) Statutory Grants 32,205.2 2,500.0 1,000.0 2,000.0 17,323.1 14,714.7 16,189.8 21,048.2
b) Grants for relief on account
of Natural Calamities 9,589.4 19,189.2 19,189.2 23,523.6 85.2 79.0 120.1 170.0
c) Others 13,531.1 36,650.9 65,819.3 33,407.9 290.3 718.0 712.2 β
See 'Notes to Appendix I'.
150Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
MEGHALAYA MIZORAM
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 62,667.3 111,276.0 111,276.0 84,030.2 47,648.5 58,794.7 53,172.1 71,754.5
I. TAX REVENUE (A+B) 22,512.6 27,929.5 27,929.5 44,064.1 10,878.6 13,012.4 11,771.9 27,402.7
A. State's Own Tax Revenue (1 to 3) 9,493.0 12,063.1 12,063.1 10,355.7 2,297.8 2,703.9 2,665.3 3,265.5
1. Taxes on Income (i+ii) 35.2 41.9 41.9 47.3 147.4 166.4 140.4 176.4
i) Agricultural Income Tax β β β β β β β β
ii) Taxes on Professions,Trades,
Callings and Employment 35.2 41.9 41.9 47.3 147.4 166.4 140.4 176.4
2. Taxes on Property and Capital
Transactions (i to iii) 132.5 208.8 208.8 173.6 60.7 52.7 147.8 120.3
i) Land Revenue 34.7 42.2 42.2 47.7 45.4 52.0 110.6 119.0
ii) Stamps and Registration Fees 97.8 166.6 166.6 125.9 15.2 0.7 37.2 1.2
iii) Urban Immovable Property Tax β β β β β β β β
3. Taxes on Commodities and Services
(i to vii) 9,325.2 11,812.4 11,812.4 10,134.8 2,089.8 2,484.8 2,377.0 2,968.9
i) Sales Tax (a to e) 7,236.5 9,149.0 9,149.0 7,663.6 1,833.4 2,180.8 2,119.5 2,326.6
a) State Sales Tax/VAT 5,920.3 6,499.0 6,499.0 5,018.0 1,833.3 2,175.0 2,115.0 2,320.0
b) Central Sales Tax 1,231.1 2,540.1 2,540.1 2,540.1 β 0.8 1.1 1.6
c) Surcharge on Sales Tax β β β β β β β β
d) Receipts of Turnover Tax β β β β β β β β
e) Other Receipts 85.1 110.0 110.0 105.5 β 5.0 3.4 5.0
ii) State Excise 1,626.6 2,051.6 2,051.6 1,941.5 31.1 34.7 49.1 356.8
iii) Taxes on Vehicles 367.2 500.0 500.0 413.0 194.2 222.4 170.3 235.7
iv) Taxes on Goods and Passengers 49.2 60.0 60.0 57.8 26.3 40.0 25.6 42.4
v) Taxes and Duties on Electricity 18.9 17.2 17.2 19.8 β β β β
vi) Entertainment Tax 3.2 20.9 20.9 16.2 4.8 6.9 12.6 7.3
vii) Other Taxes and Duties 23.6 13.7 13.7 22.9 β β β β
B. Share in Central Taxes (i to ix) 13,019.6 15,866.4 15,866.4 33,708.4 8,580.8 10,308.5 9,106.6 24,137.2
i) Corporation Tax 4,377.7 5,286.0 5,286.0 11,183.4 2,886.2 3,485.1 3,180.5 8,013.1
ii) Income Tax 2,882.5 3,765.5 3,765.5 8,256.6 1,900.5 2,297.1 2,271.2 5,915.9
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β β β β β
v) Taxes on Wealth 12.0 12.3 12.3 -0.3 7.9 8.1 8.6 -0.2
vi) Customs 2,123.8 2,445.4 2,445.4 5,190.9 1,400.3 1,616.5 1,473.0 3,719.3
vii) Union Excise Duties 1,500.0 1,579.0 1,579.0 3,376.0 989.0 1,069.9 831.8 2,418.9
viii) Service Tax 2,123.6 2,778.2 2,778.2 5,701.8 1,396.9 1,831.8 1,341.5 4,070.2
ix) Other Taxes and Duties on Commodities
and Services β β β β β β β β
II.NON-TAX REVENUE (C+D) 40,154.7 83,346.5 83,346.5 39,966.1 36,769.9 45,782.3 41,400.2 44,351.7
C. State's Own Non-Tax Revenue (1 to 6) 5,981.5 6,794.6 6,794.6 3,121.7 1,942.6 2,784.8 2,414.2 2,528.1
1. Interest Receipts 335.7 316.1 316.1 347.7 179.3 239.4 198.8 200.0
2. Dividends and Profi ts 1.3 1.0 1.0 1.4 β β β β
151State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
MEGHALAYA MIZORAM
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 292.9 445.7 445.7 512.6 189.9 185.6 215.9 192.1
of which: State Lotteries 10.6 165.3 165.3 187.5 95.1 105.4 117.1 111.7
4. Social Services ( i to ix) 94.5 280.0 280.0 246.4 236.7 259.6 276.1 300.9
i) Education, Sports, Art and Culture 19.1 21.2 21.2 22.9 13.4 24.6 16.5 26.1
ii) Medical and Public Health 20.0 19.8 19.8 21.2 2.3 1.1 2.9 1.2
iii) Family Welfare β β β β β 0.1 β 0.1
iv) Housing 3.5 3.9 3.9 4.1 9.5 10.0 9.8 10.6
v) Urban Development 0.1 6.6 6.6 8.5 0.8 0.6 1.2 0.6
vi) Labour and Employment 16.0 19.9 19.9 21.7 0.6 0.2 0.1 0.2
vii) Social Security and Welfare 0.3 7.8 7.8 8.5 12.6 14.3 9.3 9.9
viii) Water Supply and Sanitation 35.6 198.4 198.4 156.9 195.4 206.6 234.7 250.0
ix) Others 0.1 2.4 2.4 2.6 2.0 2.1 1.5 2.2
5. Fiscal Services β β β β β β β β
6. Economic Services ( i to xvii ) 5,257.0 5,751.8 5,751.8 2,013.6 1,336.6 2,100.2 1,723.4 1,835.1
i) Crop Husbandry 49.2 55.6 55.6 62.8 8.6 6.0 9.3 6.4
ii) Animal Husbandry 18.3 22.7 22.7 25.9 3.8 4.4 6.2 4.7
iii) Fisheries 0.3 1.6 1.6 1.2 2.4 4.2 3.1 4.5
iv) Forestry and Wildlife 601.2 408.3 408.3 684.4 29.8 19.7 52.0 20.9
v) Plantations β β β β β β β β
vi) Co-operation 0.6 11.1 11.1 14.5 3.2 2.3 37.9 2.4
vii) Other Agricultural Programmes 6.6 22.0 22.0 25.1 16.4 14.5 18.2 15.4
viii) Major and Medium Irrigation Projects β β β β β β β β
ix) Minor Irrigation 2.1 2.1 2.1 2.1 0.2 0.7 β 0.7
x) Power 6.4 20.0 20.0 22.6 1,090.5 1,686.4 1,443.6 1,616.7
xi) Petroleum β β β β β β β β
xii) Village and Small Industries 6.7 6.8 6.8 7.6 3.3 4.1 2.7 4.3
xiii) Industries@ 4,557.5 5,160.0 5,160.0 1,122.1 45.1 70.5 37.3 39.5
xiv) Ports and Light Houses β β β β β β β β
xv) Road Transport β β β β 19.0 20.1 23.6 21.3
xvi) Tourism 0.5 0.5 0.5 0.8 23.9 19.5 22.3 20.7
xvii) Others* 7.6 41.1 41.1 44.5 90.3 247.8 67.1 77.7
D. Grants from the Centre (1 to 5) 34,173.2 76,551.9 76,551.9 36,844.5 34,827.3 42,997.5 38,986.0 41,823.6
1. State Plan Schemes 20,462.8 34,863.4 34,863.4 25,489.1 19,047.9 23,251.8 19,451.2 7,379.0
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes 316.5 3,900.0 3,900.0 β β β β β
3. Centrally Sponsored Schemes 3,484.0 25,379.8 25,379.8 3,040.0 3,690.7 7,374.2 7,374.2 11,245.0
4. NEC/ Special Plan Scheme 695.8 1,125.0 1,125.0 1,620.0 554.2 1,226.4 1,226.4 1,524.2
5. Non-Plan Grants (a to c) 9,214.1 11,283.7 11,283.7 6,695.4 11,534.5 11,145.1 10,934.2 21,675.4
a) Statutory Grants 7,338.6 5,961.6 5,961.6 6,400.0 10,163.0 9,419.7 9,857.8 21,390.0
b) Grants for relief on account
of Natural Calamities β β β β 141.5 103.6 103.6 150.0
c) Others 1,875.5 5,322.1 5,322.1 295.4 1,230.0 1,621.8 972.8 135.4
See 'Notes to Appendix I'.
152Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
NAGALAND ODISHA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 64,979.0 95,379.7 80,886.4 88,919.4 489,468.5 671,469.6 636,492.9 709,405.0
I. TAX REVENUE (A+B) 13,346.6 15,896.1 14,231.7 28,456.2 321,388.3 381,521.1 367,536.6 408,603.7
A. State's Own Tax Revenue (1 to 3) 3,333.9 3,867.8 3,604.8 4,344.6 168,915.9 198,626.5 192,736.6 212,803.7
1. Taxes on Income (i+ii) 283.0 319.0 319.0 319.0 1,497.0 1,760.0 1,760.0 1,860.0
i) Agricultural Income Tax β β β β β β β β
ii) Taxes on Professions,Trades,
Callings and Employment 283.0 319.0 319.0 319.0 1,497.0 1,760.0 1,760.0 1,860.0
2. Taxes on Property and Capital
Transactions (i to iii) 24.7 24.8 26.1 28.7 10,367.4 11,220.0 11,423.2 21,273.7
i) Land Revenue 7.0 8.1 8.1 8.9 4,312.6 4,400.0 4,400.0 4,650.0
ii) Stamps and Registration Fees 17.7 16.7 18.0 19.8 6,054.8 6,820.0 7,023.2 16,623.7
iii) Urban Immovable Property Tax β β β β β β β β
3. Taxes on Commodities and Services
(i to vii) 3,026.2 3,524.0 3,259.7 3,996.9 157,051.5 185,646.5 179,553.4 189,670.0
i) Sales Tax (a to e) 2,502.1 2,943.6 2,700.0 3,327.8 107,285.5 131,100.0 124,352.8 128,005.6
a) State Sales Tax/VAT 2,502.1 2,943.6 2,700.0 3,327.8 98,807.4 118,871.6 115,043.4 118,433.1
b) Central Sales Tax β β β β 8,465.2 9,195.4 9,295.9 9,555.9
c) Surcharge on Sales Tax β β β β β β β β
d) Receipts of Turnover Tax β β β β β β β β
e) Other Receipts β β β β 12.9 3,033.0 13.5 16.7
ii) State Excise 48.6 44.7 49.0 49.0 17,801.3 19,837.5 20,000.0 23,000.0
iii) Taxes on Vehicles 361.5 460.0 400.0 460.0 8,596.7 9,720.0 9,720.0 10,692.0
iv) Taxes on Goods and Passengers 107.9 75.0 110.0 121.0 16,134.5 17,234.0 17,400.0 19,140.0
v) Taxes and Duties on Electricity 0.4 0.5 0.5 0.5 6,701.1 7,040.0 7,680.0 8,448.0
vi) Entertainment Tax β β β β 124.1 314.9 199.2 196.0
vii) Other Taxes and Duties 5.8 0.2 0.2 38.6 408.2 400.1 201.5 188.4
B. Share in Central Taxes (i to ix) 10,012.7 12,028.3 10,626.9 24,111.6 152,472.4 182,894.6 174,800.0 195,800.0
i) Corporation Tax 3,369.0 4,068.1 3,843.2 8,002.7 51,276.5 65,695.7 62,780.0 70,313.0
ii) Income Tax 2,218.4 2,681.4 2,627.5 5,908.4 33,764.2 39,330.8 37,590.2 42,101.0
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β 1.5 β β β
v) Taxes on Wealth 9.2 9.4 9.4 -0.2 140.9 110.6 116.0 129.9
vi) Customs 1,634.5 1,886.9 1,750.0 3,714.6 24,876.7 30,391.9 29,036.8 32,520.0
vii) Union Excise Duties 1,154.4 1,248.8 1,057.2 2,415.8 17,569.8 20,654.4 19,740.0 22,100.0
viii) Service Tax 1,627.2 2,133.7 1,339.6 4,070.3 24,842.9 26,711.2 25,537.0 28,636.1
ix) Other Taxes and Duties on Commodities
and Services β β β β -0.1 β β β
II.NON-TAX REVENUE (C+D) 51,632.4 79,483.7 66,654.7 60,463.2 168,080.2 289,948.5 268,956.3 300,801.3
C. State's Own Non-Tax Revenue (1 to 6) 2,165.7 2,058.2 3,172.7 2,306.0 83,786.0 80,240.0 76,051.5 90,135.6
1. Interest Receipts 76.2 30.0 40.0 44.0 12,411.8 4,089.8 4,089.8 5,000.0
2. Dividends and Profi ts β β β 32.9 4,524.0 3,881.7 5,666.4 5,550.0
153State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
NAGALAND ODISHA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 139.7 210.0 273.2 197.9 2,879.0 1,515.4 1,895.5 2,119.2
of which: State Lotteries β β β β β β β β
4. Social Services ( i to ix) 768.6 124.4 1,157.1 533.6 2,071.3 1,490.6 1,660.3 1,829.3
i) Education, Sports, Art and Culture 678.3 4.6 1,029.5 402.1 758.6 176.9 276.9 300.0
ii) Medical and Public Health 5.5 3.9 5.6 6.2 287.1 248.1 308.1 340.0
iii) Family Welfare 0.1 β β β 3.7 0.8 0.8 2.0
iv) Housing 51.3 87.8 87.8 87.8 143.6 150.4 150.4 159.3
v) Urban Development 0.9 1.0 1.0 1.1 53.7 61.1 61.1 71.0
vi) Labour and Employment 0.5 0.3 0.3 0.3 97.8 98.1 100.7 101.8
vii) Social Security and Welfare 11.7 6.5 12.0 13.2 1.8 5.8 4.6 4.7
viii) Water Supply and Sanitation 19.5 19.4 20.0 22.0 619.9 686.7 686.7 759.0
ix) Others 0.9 0.9 0.9 1.0 105.1 62.7 71.0 91.5
5. Fiscal Services β β β β β β β β
6. Economic Services ( i to xvii ) 1,181.2 1,693.8 1,702.3 1,497.6 61,899.9 69,262.5 62,739.6 75,637.1
i) Crop Husbandry 2.7 2.0 3.0 3.3 67.4 58.0 68.8 74.0
ii) Animal Husbandry 5.3 8.5 8.5 9.3 13.3 8.5 8.5 11.5
iii) Fisheries 0.1 0.4 0.4 0.5 10.7 16.7 16.7 18.0
iv) Forestry and Wildlife 88.1 130.7 130.7 143.7 951.1 317.3 317.3 350.0
v) Plantations β β β β β β β β
vi) Co-operation 24.5 1.0 1.0 1.0 33.4 24.7 24.7 39.7
vii) Other Agricultural Programmes 0.9 0.7 1.0 1.1 20.0 19.1 19.6 20.0
viii) Major and Medium Irrigation Projects β β β β 4,363.1 4,284.2 4,236.3 5,450.0
ix) Minor Irrigation β 0.3 0.3 0.4 151.2 118.3 118.3 160.0
x) Power 883.1 1,250.0 1,250.0 1,000.0 47.0 66.4 419.5 397.7
xi) Petroleum β β β β β β β β
xii) Village and Small Industries 3.3 5.0 5.0 5.4 2.1 2.4 2.4 2.2
xiii) Industries@ 12.5 10.5 13.8 15.2 55,190.4 63,471.2 56,602.0 67,994.0
xiv) Ports and Light Houses β β β β 1.2 10.8 10.8 11.5
xv) Road Transport 121.7 156.9 156.9 172.6 β β β β
xvi) Tourism 1.5 4.6 4.6 5.1 7.6 21.6 21.6 20.9
xvii) Others* 37.5 123.3 127.2 139.9 1,041.5 843.3 873.0 1,087.6
D. Grants from the Centre (1 to 5) 49,466.7 77,425.5 63,482.0 58,157.2 84,294.2 209,708.5 192,904.8 210,665.7
1. State Plan Schemes 24,294.4 38,397.9 37,920.9 24,964.9 34,294.6 175,206.1 158,333.0 178,528.9
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes 3,840.7 19,322.7 2,647.4 β 1,216.7 6,094.2 6,145.9 3,495.5
3. Centrally Sponsored Schemes β β β β 21,491.1 91.5 103.8 319.1
4. NEC/ Special Plan Scheme β β β β β β β β
5. Non-Plan Grants (a to c) 21,331.6 19,704.8 22,913.7 33,192.3 27,291.9 28,316.7 28,322.2 28,322.2
a) Statutory Grants 16,658.3 15,950.0 15,950.0 32,030.0 14,024.4 21,174.4 21,175.2 21,175.2
b) Grants for relief on account
of Natural Calamities 427.8 61.8 61.8 90.0 4,249.9 3,569.8 3,569.8 3,569.8
c) Others 4,245.4 3,693.0 6,901.9 1,072.3 9,017.6 3,572.5 3,577.2 3,577.2
See 'Notes to Appendix I'.
154Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
PUNJAB RAJASTHAN
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 351,035.4 448,936.8 427,423.6 462,292.5 744,703.7 1,061,246.7 966,683.3 1,113,616.6
I. TAX REVENUE (A+B) 285,106.6 338,803.2 339,608.9 373,502.8 521,507.7 634,105.0 596,040.2 760,208.8
A. State's Own Tax Revenue (1 to 3) 240,791.9 284,800.0 285,605.7 293,519.3 334,777.0 406,549.6 397,868.8 470,960.5
1. Taxes on Income (i+ii) β β β β 0.7 β β β
i) Agricultural Income Tax β β β β β β β β
ii) Taxes on Professions,Trades,
Callings and Employment β β β β 0.7 β β β
2. Taxes on Property and Capital
Transactions (i to iii) 25,419.6 28,180.0 28,180.0 27,602.8 34,763.2 46,507.6 38,746.9 46,500.0
i) Land Revenue 424.6 580.0 580.0 602.8 3,379.8 4,007.6 3,246.9 4,000.0
ii) Stamps and Registration Fees 24,995.0 27,600.0 27,600.0 27,000.0 31,253.3 42,000.0 35,000.0 42,000.0
iii) Urban Immovable Property Tax β β β β 130.1 500.0 500.0 500.0
3. Taxes on Commodities and Services
(i to vii) 215,372.4 256,620.0 257,425.7 265,916.5 300,013.1 360,042.0 359,121.8 424,460.4
i) Sales Tax (a to e) 148,467.1 177,600.0 177,600.0 178,509.6 212,155.1 256,250.0 256,250.0 305,000.0
a) State Sales Tax/VAT 143,216.9 171,922.9 171,922.9 172,822.4 194,904.1 236,395.2 β β
b) Central Sales Tax 5,250.2 5,677.1 5,677.1 5,687.2 13,807.9 15,950.0 15,050.0 17,160.0
c) Surcharge on Sales Tax β β β β β β β β
d) Receipts of Turnover Tax β β β β β β β β
e) Other Receipts β β β β 3,443.1 3,904.8 241,200.0 287,840.0
ii) State Excise 37,647.2 46,000.0 46,805.7 51,000.0 49,815.9 53,187.5 53,300.0 63,000.0
iii) Taxes on Vehicles 11,457.0 13,500.0 13,500.0 15,000.0 24,989.0 29,500.0 28,000.0 33,000.0
iv) Taxes on Goods and Passengers β β β β 2,879.2 3,450.0 3,600.0 4,320.0
v) Taxes and Duties on Electricity 17,104.6 18,600.0 18,600.0 20,504.1 9,489.3 16,971.8 16,971.8 17,820.4
vi) Entertainment Tax 271.5 680.0 680.0 390.5 138.9 0.1 400.0 660.0
vii) Other Taxes and Duties 425.0 240.0 240.0 512.4 545.8 682.6 600.0 660.0
B. Share in Central Taxes (i to ix) 44,314.7 54,003.2 54,003.2 79,983.5 186,730.7 227,555.4 198,171.4 289,248.3
i) Corporation Tax 14,903.4 17,995.6 17,995.6 26,557.7 62,800.2 75,830.4 69,203.0 95,721.0
ii) Income Tax 9,813.4 12,819.4 12,819.4 19,607.3 41,352.0 54,018.5 49,417.6 70,669.7
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β β β 1.7 β
v) Taxes on Wealth 40.9 41.7 41.7 -0.8 172.4 175.9 186.9 -2.8
vi) Customs 7,230.3 8,325.0 8,325.0 12,327.0 30,467.3 35,080.2 32,050.2 44,429.8
vii) Union Excise Duties 5,106.6 5,375.6 5,375.6 8,017.1 21,518.3 22,651.9 18,097.6 28,895.5
viii) Service Tax 7,220.1 9,445.9 9,445.9 13,475.3 30,420.5 39,798.6 29,214.5 49,535.2
ix) Other Taxes and Duties on Commodities
and Services β β β β β -0.1 -0.1 -0.1
II.NON-TAX REVENUE (C+D) 65,928.8 110,133.6 87,814.7 88,789.6 223,196.0 427,141.7 370,643.1 353,407.9
C. State's Own Non-Tax Revenue (1 to 6) 31,914.9 27,830.0 29,730.5 38,035.1 135,752.5 149,386.1 134,684.9 154,960.0
1. Interest Receipts 1,746.8 1,801.3 1,799.2 1,799.2 21,424.9 20,467.1 19,598.3 17,909.8
2. Dividends and Profi ts 14.6 8.0 16.6 18.2 246.0 402.9 590.7 590.7
155State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
PUNJAB RAJASTHAN
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 19,397.1 12,495.3 16,214.8 23,680.9 13,440.1 13,724.7 13,717.7 15,642.5
of which: State Lotteries 825.0 840.0 840.0 840.0 β β β β
4. Social Services ( i to ix) 4,854.4 6,247.8 5,647.5 5,946.0 7,079.9 6,931.4 7,620.5 9,561.8
i) Education, Sports, Art and Culture 964.5 1,000.0 1,706.9 1,807.6 959.4 750.0 782.3 817.7
ii) Medical and Public Health 1,519.7 2,650.0 1,563.7 1,719.4 656.1 707.1 1,050.7 951.2
iii) Family Welfare 366.1 3.7 0.3 0.6 1.2 2.1 2.2 2.4
iv) Housing 46.2 52.0 β β 67.1 72.3 72.3 76.6
v) Urban Development 1,285.0 1,500.0 1,543.8 1,543.8 52.7 9.3 79.9 72.5
vi) Labour and Employment 111.6 100.9 97.1 101.9 2,633.8 2,122.6 2,291.8 2,491.4
vii) Social Security and Welfare 93.1 110.0 72.9 73.2 113.6 92.5 112.6 88.6
viii) Water Supply and Sanitation 359.4 660.0 550.5 597.2 2,548.5 3,120.0 3,000.0 5,000.0
ix) Others 108.9 171.2 112.2 102.3 47.5 55.5 228.7 61.3
5. Fiscal Services β β β β β β β β
6. Economic Services ( i to xvii ) 5,902.0 7,277.7 6,052.3 6,590.8 93,561.6 107,859.9 93,157.8 111,255.1
i) Crop Husbandry 206.6 432.5 404.9 437.6 32.2 65.5 34.2 35.7
ii) Animal Husbandry 157.0 58.0 68.4 75.2 18.0 14.0 17.9 17.6
iii) Fisheries 20.7 0.3 20.3 21.3 243.8 242.0 242.9 266.1
iv) Forestry and Wildlife 206.9 250.0 511.7 359.0 775.2 874.4 802.0 979.2
v) Plantations β β β β β β β β
vi) Co-operation 34.4 41.3 175.1 4.5 188.0 118.6 165.2 185.1
vii) Other Agricultural Programmes 399.9 353.4 303.4 303.4 64.4 75.2 94.5 98.7
viii) Major and Medium Irrigation Projects 659.3 989.1 358.0 393.8 806.2 1,152.2 909.0 1,460.0
ix) Minor Irrigation 4.5 10.9 6.8 7.5 118.7 205.5 221.4 268.8
x) Power β β β β 120.6 247.7 124.8 249.5
xi) Petroleum β β β β 59,537.1 65,750.0 54,000.0 65,750.0
xii) Village and Small Industries 4.7 0.6 0.3 0.6 75.3 73.5 80.0 20.8
xiii) Industries@ 468.7 1,057.0 900.0 1,000.0 30,892.0 38,606.6 35,668.7 41,359.0
xiv) Ports and Light Houses β β β β β β β β
xv) Road Transport 1,996.8 2,290.0 1,774.0 2,300.0 β β β β
xvi) Tourism β β β β 7.2 5.0 9.0 9.5
xvii) Others* 1,742.4 1,794.7 1,529.5 1,687.8 683.1 429.7 788.0 555.0
D. Grants from the Centre (1 to 5) 34,013.8 82,303.6 58,084.2 50,754.5 87,443.6 277,755.6 235,958.2 198,447.9
1. State Plan Schemes 3,524.3 71,058.6 51,540.4 39,608.0 29,932.1 222,688.2 182,462.9 158,304.6
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes 60.1 1,182.6 524.1 793.7 1,348.7 3,134.9 3,262.8 3,655.3
3. Centrally Sponsored Schemes 125.3 415.2 129.4 318.8 20,658.6 β β β
4. NEC/ Special Plan Scheme β β β β β β β β
5. Non-Plan Grants (a to c) 30,304.1 9,647.2 5,890.2 10,034.0 35,504.2 51,932.5 50,232.5 36,488.0
a) Statutory Grants 30,304.1 9,507.9 5,702.1 9,906.6 25,021.6 42,620.0 40,920.0 24,187.2
b) Grants for relief on account
of Natural Calamities β β β β 5,215.0 5,476.0 5,476.0 8,272.5
c) Others β 139.3 188.1 127.4 5,267.6 3,836.5 3,836.5 4,028.3
See 'Notes to Appendix I'.
156Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
SIKKIM TAMIL NADU
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 43,264.4 61,133.1 61,792.1 48,019.1 1,080,364.2 1,273,898.2 1,331,886.1 1,426,813.3
I. TAX REVENUE (A+B) 12,875.4 14,535.4 14,302.0 24,850.7 895,708.7 1,108,495.8 1,025,967.4 1,172,330.3
A. State's Own Tax Revenue (1 to 3) 5,249.2 4,973.9 5,140.2 5,603.8 737,181.1 918,353.5 857,727.1 960,831.4
1. Taxes on Income (i+ii) 86.8 80.1 80.1 85.1 -24.3 β β β
i) Agricultural Income Tax β β β β -24.3 β β β
ii) Taxes on Professions,Trades,
Callings and Employment 86.8 80.1 80.1 85.1 β β β β
2. Taxes on Property and Capital
Transactions (i to iii) 98.5 145.9 145.9 145.3 85,356.0 106,598.4 95,268.7 106,068.0
i) Land Revenue 33.9 68.9 68.9 68.9 2,728.3 1,715.7 1,787.7 2,034.1
ii) Stamps and Registration Fees 64.5 77.0 77.0 76.4 82,512.5 104,701.8 93,300.1 103,852.9
iii) Urban Immovable Property Tax β β β β 115.2 180.9 180.9 180.9
3. Taxes on Commodities and Services
(i to vii) 5,063.9 4,747.9 4,914.2 5,373.4 651,849.5 811,755.2 762,458.4 854,763.4
i) Sales Tax (a to e) 2,863.2 2,594.5 2,730.0 3,000.0 535,321.7 652,020.6 615,656.5 688,745.7
a) State Sales Tax/VAT 2,651.7 2,314.5 2,450.0 2,640.0 504,254.1 617,624.5 581,017.1 650,292.3
b) Central Sales Tax 211.9 280.0 280.0 360.0 31,067.6 34,396.1 34,639.4 38,453.4
c) Surcharge on Sales Tax β β β β β β β β
d) Receipts of Turnover Tax β β β β β β β β
e) Other Receipts -0.4 β β β β β β β
ii) State Excise 1,206.4 1,209.3 1,240.0 1,350.0 50,349.1 64,830.4 63,760.4 72,966.7
iii) Taxes on Vehicles 185.2 188.2 188.2 210.7 36,835.8 51,471.4 42,795.3 48,825.4
iv) Taxes on Goods and Passengers β β β β 18,427.6 30,758.9 24,767.5 27,491.9
v) Taxes and Duties on Electricity β β β β 7,435.7 8,132.8 11,386.9 12,193.4
vi) Entertainment Tax 13.3 5.0 5.0 6.0 467.2 656.4 855.5 958.2
vii) Other Taxes and Duties 795.7 751.0 751.0 806.6 3,012.4 3,884.7 3,236.4 3,582.1
B. Share in Central Taxes (i to ix) 7,626.2 9,561.4 9,161.8 19,246.9 158,527.6 190,142.3 168,240.3 211,498.9
i) Corporation Tax 2,564.4 3,309.0 3,096.4 6,393.0 53,315.3 65,816.7 58,751.0 70,079.3
ii) Income Tax 1,688.6 2,048.6 2,040.9 4,719.9 35,106.5 40,739.5 41,953.8 51,738.7
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β β β β β
v) Taxes on Wealth 7.0 8.3 7.2 -0.2 146.4 164.6 158.6 -2.0
vi) Customs 1,244.1 1,545.0 1,436.2 2,967.4 25,865.7 30,726.0 27,209.5 32,527.9
vii) Union Excise Duties 878.7 1,087.0 950.6 1,929.9 18,268.3 21,633.5 15,364.3 21,155.0
viii) Service Tax 1,243.4 1,563.5 1,630.5 3,236.9 25,825.4 31,062.1 24,801.7 36,000.1
ix) Other Taxes and Duties on Commodities
and Services β β β β β -0.1 1.4 -0.1
II.NON-TAX REVENUE (C+D) 30,389.0 46,597.7 47,490.1 23,168.4 184,655.5 165,402.4 305,918.6 254,483.0
C. State's Own Non-Tax Revenue (1 to 6) 7,944.9 10,989.2 11,010.3 3,503.6 93,432.7 80,839.7 88,675.8 90,715.0
1. Interest Receipts 670.2 310.5 376.3 312.1 33,472.7 21,892.7 24,499.1 26,785.9
2. Dividends and Profi ts 5.5 15.0 4.8 10.0 755.0 510.1 900.2 720.8
157State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
SIKKIM TAMIL NADU
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 5,585.8 8,653.9 8,666.6 1,195.2 6,834.0 10,251.4 9,792.8 9,851.4
of which: State Lotteries 4,329.0 7,512.3 7,512.3 15.5 1.0 β 1.5 1.5
4. Social Services ( i to ix) 90.9 89.6 90.6 90.5 34,370.9 33,723.6 35,846.4 35,466.0
i) Education, Sports, Art and Culture 13.8 13.4 13.4 11.7 16,932.9 16,063.2 21,939.6 19,854.0
ii) Medical and Public Health 21.9 25.0 25.0 25.0 5,039.5 5,086.7 4,242.2 4,093.5
iii) Family Welfare β β β β 747.4 636.4 698.8 865.1
iv) Housing 5.4 5.5 5.5 5.5 608.2 651.7 1,048.3 916.0
v) Urban Development 9.9 3.5 3.9 4.1 9,728.7 9,936.6 6,336.3 8,132.7
vi) Labour and Employment 4.9 1.0 1.0 2.0 688.6 740.1 868.2 877.9
vii) Social Security and Welfare β 0.1 β β 491.2 460.3 556.0 560.5
viii) Water Supply and Sanitation 31.7 39.1 39.8 39.9 2.5 2.0 19.3 19.7
ix) Others 3.3 2.1 2.1 2.3 131.9 146.4 137.9 146.6
5. Fiscal Services β β β β β β β β
6. Economic Services ( i to xvii ) 1,592.5 1,920.1 1,872.0 1,895.8 18,000.2 14,461.9 17,637.3 17,890.9
i) Crop Husbandry 14.6 9.1 8.1 9.1 2,137.7 931.6 1,396.8 1,450.6
ii) Animal Husbandry 8.5 9.0 9.0 9.7 102.0 81.6 97.9 102.6
iii) Fisheries 0.7 0.8 0.6 0.5 95.3 57.6 98.3 104.2
iv) Forestry and Wildlife 142.7 153.5 111.5 120.6 1,938.7 448.6 1,361.6 1,430.2
v) Plantations 36.2 50.0 45.0 51.8 0.1 β 19.2 β
vi) Co-operation 0.2 β β β 223.5 178.0 274.8 263.0
vii) Other Agricultural Programmes β β β β 335.1 290.2 416.5 441.0
viii) Major and Medium Irrigation Projects β β β β 390.6 269.4 810.0 306.3
ix) Minor Irrigation 2.2 3.0 3.0 2.2 23.1 13.7 21.0 21.6
x) Power 989.3 1,211.0 1,211.0 1,251.0 β β β β
xi) Petroleum β β β β 0.1 0.1 0.1 0.1
xii) Village and Small Industries 0.8 2.5 2.5 2.5 407.2 97.0 236.3 223.1
xiii) Industries@ 6.5 6.6 6.6 6.6 9,625.1 10,942.9 11,355.1 12,080.2
xiv) Ports and Light Houses β β β β 29.2 51.0 32.1 35.3
xv) Road Transport 341.0 430.0 430.0 393.5 β β β β
xvi) Tourism 26.5 28.0 28.0 31.4 14.7 20.0 20.0 20.0
xvii) Others* 23.5 16.6 16.6 17.0 2,677.8 1,080.3 1,497.6 1,412.9
D. Grants from the Centre (1 to 5) 22,444.1 35,608.5 36,479.8 19,664.8 91,222.8 84,562.7 217,242.8 163,768.0
1. State Plan Schemes 18,032.0 23,554.3 23,796.4 8,408.8 33,485.5 28,842.0 139,427.5 112,110.2
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes 2.0 66.1 66.1 97.7 2,638.7 2,200.3 5,254.6 8,050.6
3. Centrally Sponsored Schemes 2,331.7 9,539.1 10,162.0 9,616.2 23,153.6 23,814.6 9,567.7 3,158.2
4. NEC/ Special Plan Scheme 595.8 1,127.1 1,133.4 1,024.1 β β β β
5. Non-Plan Grants (a to c) 1,482.6 1,322.0 1,322.0 517.9 31,945.0 29,705.8 62,993.1 40,448.9
a) Statutory Grants β β β β 23,796.5 28,182.3 47,117.3 22,469.4
b) Grants for relief on account
of Natural Calamities 982.0 286.7 286.7 280.0 4,538.7 β β β
c) Others 500.7 1,035.3 1,035.3 237.9 3,609.8 1,523.5 15,875.8 17,979.5
See 'Notes to Appendix I'.
158Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
TELANGANA TRIPURA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) β 800,903.3 800,903.3 941,315.1 76,501.8 107,948.1 106,634.5 125,247.4
I. TAX REVENUE (A+B) β 451,276.0 451,276.0 593,180.0 27,041.6 31,133.7 30,410.0 32,100.0
A. State's Own Tax Revenue (1 to 3) β 353,785.9 353,785.9 464,952.0 10,739.1 12,783.7 12,410.0 13,200.0
1. Taxes on Income (i+ii) β 2,720.6 2,720.6 3,948.2 358.6 371.2 371.0 401.4
i) Agricultural Income Tax β β β β 8.3 1.2 1.0 1.4
ii) Taxes on Professions,Trades,
Callings and Employment β 2,720.6 2,720.6 3,948.2 350.3 370.0 370.0 400.0
2. Taxes on Property and Capital
Transactions (i to iii) β 27,294.8 27,294.8 37,805.9 473.4 674.7 600.4 700.6
i) Land Revenue β 728.9 728.9 134.6 80.7 248.7 200.0 250.0
ii) Stamps and Registration Fees β 25,838.8 25,838.8 37,000.0 392.4 425.4 400.0 450.0
iii) Urban Immovable Property Tax β 727.1 727.1 671.3 0.3 0.6 0.4 0.6
3. Taxes on Commodities and Services
(i to vii) β 323,770.5 323,770.5 423,197.9 9,907.2 11,737.8 11,438.6 12,098.0
i) Sales Tax (a to e) β 269,633.0 269,633.0 354,633.9 8,370.9 9,500.0 9,400.0 9,800.0
a) State Sales Tax/VAT β 259,930.0 259,930.0 341,872.5 8,370.9 9,500.0 9,400.0 9,800.0
b) Central Sales Tax β 9,255.2 9,255.2 12,172.4 β β β β
c) Surcharge on Sales Tax β β β β β β β β
d) Receipts of Turnover Tax β 355.0 355.0 466.9 β β β β
e) Other Receipts β 92.8 92.8 122.1 β β β β
ii) State Excise β 28,235.4 28,235.4 39,164.3 1,151.8 1,794.6 1,640.0 1,800.0
iii) Taxes on Vehicles β 22,268.6 22,268.6 25,000.0 367.9 400.0 365.0 450.0
iv) Taxes on Goods and Passengers β 90.5 90.5 89.1 β β β β
v) Taxes and Duties on Electricity β 1,630.9 1,630.9 1,630.9 0.2 0.7 0.5 0.7
vi) Entertainment Tax β 659.6 659.6 1,010.3 6.3 β β β
vii) Other Taxes and Duties β 1,252.5 1,252.5 1,669.4 10.1 42.5 33.1 47.2
B. Share in Central Taxes (i to ix) β 97,490.1 97,490.1 128,228.0 16,302.5 18,350.0 18,000.0 18,900.0
i) Corporation Tax β 32,126.8 32,126.8 42,253.2 5,482.8 6,632.1 5,804.0 6,701.1
ii) Income Tax β 20,890.5 20,890.5 27,475.2 3,610.3 3,899.5 4,180.0 4,029.5
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β β β β β
v) Taxes on Wealth β 74.5 74.5 98.0 15.1 35.8 16.0 35.8
vi) Customs β 14,907.6 14,907.6 19,606.5 2,659.9 3,298.2 2,900.0 3,348.2
vii) Union Excise Duties β 9,906.5 9,906.5 13,029.0 1,878.7 2,128.6 1,900.0 2,158.6
viii) Service Tax β 19,587.7 19,587.7 25,770.7 2,655.7 2,355.8 3,200.0 2,626.8
ix) Other Taxes and Duties on Commodities
and Services β -3.5 -3.5 -4.5 β β β β
II.NON-TAX REVENUE (C+D) β 349,627.3 349,627.3 348,135.1 49,460.1 76,814.4 76,224.5 93,147.4
C. State's Own Non-Tax Revenue (1 to 6) β 132,420.2 132,420.2 224,132.7 2,465.2 2,900.0 2,229.0 3,100.0
1. Interest Receipts β 26,382.0 26,382.0 27,939.5 864.7 800.0 815.0 840.0
2. Dividends and Profi ts β 197.3 197.3 197.3 β 9.0 6.0 10.0
159State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
TELANGANA TRIPURA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services β 67,158.5 67,158.5 138,138.1 708.0 826.7 473.8 884.8
of which: State Lotteries β β β β β β β β
4. Social Services ( i to ix) β 13,672.4 13,672.4 13,822.4 143.0 108.5 63.5 113.3
i) Education, Sports, Art and Culture β 8,267.2 8,267.2 8,417.2 13.2 30.0 15.0 30.0
ii) Medical and Public Health β 421.7 421.7 421.7 28.4 37.5 35.0 37.0
iii) Family Welfare β 21.3 21.3 21.3 β β β β
iv) Housing β 10.4 10.4 10.4 18.0 22.8 7.5 25.7
v) Urban Development β 4,658.3 4,658.3 4,658.3 β 0.5 0.2 0.6
vi) Labour and Employment β 186.1 186.1 186.1 4.6 4.9 1.6 5.5
vii) Social Security and Welfare β 24.6 24.6 24.6 3.2 0.7 0.2 0.8
viii) Water Supply and Sanitation β 47.0 47.0 47.0 73.2 10.7 3.5 12.1
ix) Others β 35.9 35.9 35.9 2.4 1.5 0.5 1.7
5. Fiscal Services β β β β β β β β
6. Economic Services ( i to xvii ) β 25,010.0 25,010.0 44,035.4 749.5 1,155.8 870.7 1,251.9
i) Crop Husbandry β 88.9 88.9 88.9 24.8 25.0 25.0 28.0
ii) Animal Husbandry β 11.2 11.2 11.2 21.3 14.7 4.9 16.6
iii) Fisheries β 9.2 9.2 9.2 8.0 9.3 3.1 10.5
iv) Forestry and Wildlife β 799.1 799.1 1,250.0 77.0 80.0 80.0 90.0
v) Plantations β β β β β β β β
vi) Co-operation β 99.5 99.5 99.5 0.8 33.7 11.1 38.1
vii) Other Agricultural Programmes β 0.2 0.2 0.2 β β β β
viii) Major and Medium Irrigation Projects β 960.1 960.1 960.1 β β β β
ix) Minor Irrigation β 52.3 52.3 52.3 0.7 5.8 1.9 6.5
x) Power β 126.0 126.0 126.0 β β β β
xi) Petroleum β β β β β β β β
xii) Village and Small Industries β 17.3 17.3 17.3 0.5 0.7 0.2 0.8
xiii) Industries@ β 18,784.9 18,784.9 33,009.7 599.1 850.0 700.0 900.0
xiv) Ports and Light Houses β β β β β β β β
xv) Road Transport β β β β β β β β
xvi) Tourism β 31.9 31.9 31.9 β β β β
xvii) Others* β 4,029.3 4,029.3 8,379.0 17.3 136.6 44.5 161.4
D. Grants from the Centre (1 to 5) β 217,207.1 217,207.1 124,002.4 46,995.0 73,914.4 73,995.5 90,047.4
1. State Plan Schemes β 117,812.5 117,812.5 64,972.4 30,047.8 58,600.0 55,295.4 69,387.2
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β 352.0 β β β
3. Centrally Sponsored Schemes β β β β 4,240.4 3,403.6 6,518.9 10,410.2
4. NEC/ Special Plan Scheme β β β β 848.5 656.2 750.0 900.0
5. Non-Plan Grants (a to c) β 99,394.6 99,394.6 59,030.0 11,506.2 11,254.6 11,431.2 9,350.0
a) Statutory Grants β 76,572.0 76,572.0 38,555.7 10,712.6 6,221.2 6,221.2 6,700.0
b) Grants for relief on account
of Natural Calamities β 1,612.1 1,612.1 2,474.3 β β β β
c) Others β 21,210.5 21,210.5 18,000.0 793.7 5,033.4 5,210.0 2,650.0
See 'Notes to Appendix I'.
160Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
UTTARAKHAND UTTAR PRADESH
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 173,205.3 244,744.6 265,085.7 257,776.7 1,682,137.5 2,264,187.7 2,239,974.6 2,498,802.3
I. TAX REVENUE (A+B) 109,287.2 121,572.6 123,302.6 149,895.7 1,293,587.7 1,575,015.5 1,513,913.1 1,786,441.1
A. State's Own Tax Revenue (1 to 3) 73,553.4 80,232.6 81,962.6 94,634.9 665,820.7 810,000.0 759,746.9 919,150.0
1. Taxes on Income (i+ii) 178.2 160.0 160.0 230.0 395.7 480.0 457.6 500.0
i) Agricultural Income Tax β β β β β β β β
ii) Taxes on Professions,Trades,
Callings and Employment 178.2 160.0 160.0 230.0 395.7 480.0 457.6 500.0
2. Taxes on Property and Capital
Transactions (i to iii) 7,083.6 7,178.4 7,178.4 7,943.4 102,929.2 135,920.0 126,616.3 154,360.0
i) Land Revenue 216.5 90.5 90.5 171.2 7,720.0 8,693.4 4,008.2 6,000.0
ii) Stamps and Registration Fees 6,867.1 7,087.9 7,087.9 7,772.2 95,209.2 127,226.7 122,608.1 148,360.0
iii) Urban Immovable Property Tax β β β β β β β β
3. Taxes on Commodities and Services
(i to vii) 66,291.6 72,894.2 74,624.2 86,461.5 562,495.8 673,600.0 632,673.0 764,290.0
i) Sales Tax (a to e) 49,029.0 54,590.1 54,590.1 62,098.1 396,454.5 475,000.0 448,282.0 526,730.0
a) State Sales Tax/VAT 42,604.5 50,020.0 50,020.0 62,030.0 362,061.7 440,763.3 415,971.1 488,764.8
b) Central Sales Tax 6,151.1 4,500.0 4,500.0 β 17,933.3 34,215.6 32,291.0 37,941.8
c) Surcharge on Sales Tax β β β β β β β β
d) Receipts of Turnover Tax β β β β β β β β
e) Other Receipts 273.4 70.1 70.1 68.1 16,459.6 21.1 19.9 23.3
ii) State Excise 12,692.9 13,454.0 15,184.0 17,993.3 116,438.4 145,000.0 132,173.5 175,000.0
iii) Taxes on Vehicles 3,688.3 3,600.0 3,600.0 4,350.0 34,414.2 39,500.0 38,497.1 46,580.0
iv) Taxes on Goods and Passengers β β β β 6.0 β β β
v) Taxes and Duties on Electricity 646.6 1,000.0 1,000.0 1,750.0 10,485.0 8,500.0 8,500.0 10,000.0
vi) Entertainment Tax 234.7 245.0 245.0 265.0 4,656.7 5,401.9 5,035.7 5,768.5
vii) Other Taxes and Duties β 5.1 5.1 5.1 41.0 198.1 184.7 211.5
B. Share in Central Taxes (i to ix) 35,733.8 41,340.0 41,340.0 55,260.8 627,767.0 765,015.5 754,166.2 867,291.1
i) Corporation Tax 12,017.1 14,000.0 14,000.0 18,325.5 211,125.8 254,931.7 254,931.7 293,171.4
ii) Income Tax 7,912.9 9,000.0 9,000.0 13,529.5 139,020.0 181,603.0 168,031.9 193,236.7
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β β β β β
v) Taxes on Wealth 33.0 40.0 40.0 -0.5 579.6 591.3 591.3 680.0
vi) Customs 5,830.1 6,800.0 6,800.0 8,505.9 102,426.8 117,934.9 118,243.4 135,979.9
vii) Union Excise Duties 4,117.6 4,700.0 4,700.0 5,532.0 72,341.5 76,152.7 78,259.0 89,997.8
viii) Service Tax 5,823.1 6,800.0 6,800.0 9,368.4 102,273.1 133,802.2 134,109.2 154,225.6
ix) Other Taxes and Duties on Commodities
and Services β β β β 0.2 -0.3 -0.3 -0.3
II.NON-TAX REVENUE (C+D) 63,918.1 123,172.0 141,783.1 107,881.1 388,549.7 689,172.2 726,061.5 712,361.2
C. State's Own Non-Tax Revenue (1 to 6) 13,165.4 18,074.6 18,122.3 20,680.6 164,498.0 202,319.5 229,676.0 216,363.2
1. Interest Receipts 511.2 331.0 331.0 510.0 16,193.5 14,349.0 23,000.0 10,000.0
2. Dividends and Profi ts 3.0 2.0 2.0 1,000.0 52.3 76.3 86.3 80.0
161State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
UTTARAKHAND UTTAR PRADESH
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 3,754.1 8,994.6 8,994.6 7,106.0 39,070.2 48,863.1 71,293.1 57,158.1
of which: State Lotteries β β β β β β β β
4. Social Services ( i to ix) 1,077.7 834.9 834.9 1,118.1 71,585.8 81,167.8 73,191.6 86,211.6
i) Education, Sports, Art and Culture 399.1 387.4 387.4 427.5 64,140.9 68,871.8 59,250.3 76,000.0
ii) Medical and Public Health 440.4 245.2 245.2 379.5 1,277.9 1,450.0 2,060.0 1,750.0
iii) Family Welfare 0.1 0.4 0.4 0.4 10.2 33.5 7.5 33.5
iv) Housing 27.6 18.0 18.0 30.0 186.5 193.7 359.5 280.0
v) Urban Development 39.7 30.0 30.0 40.0 987.1 29.1 1,500.0 30.0
vi) Labour and Employment 26.4 22.8 22.8 32.9 400.0 450.0 1,029.0 600.0
vii) Social Security and Welfare 52.7 60.1 60.1 116.7 2,494.9 7,621.6 4,877.5 5,000.0
viii) Water Supply and Sanitation 38.6 30.0 30.0 40.0 1.0 12.5 β 12.5
ix) Others 53.1 41.0 41.0 51.0 2,087.3 2,505.6 4,107.8 2,505.6
5. Fiscal Services β 0.1 0.1 0.1 0.3 β 0.1 0.4
6. Economic Services ( i to xvii ) 7,819.3 7,912.1 7,959.8 10,946.5 37,595.9 57,863.3 62,104.8 62,913.1
i) Crop Husbandry 63.2 32.6 32.6 41.4 558.3 560.0 508.0 600.0
ii) Animal Husbandry 84.6 11.8 11.8 31.0 425.6 405.6 791.2 500.0
iii) Fisheries 1.1 0.4 0.4 1.2 55.2 67.5 54.6 67.5
iv) Forestry and Wildlife 3,627.0 3,420.6 3,420.6 4,158.6 3,545.6 4,000.0 5,188.6 4,250.0
v) Plantations β β β β β β β β
vi) Co-operation 97.8 20.1 20.1 25.0 103.5 49.5 102.7 156.8
vii) Other Agricultural Programmes 0.4 0.3 0.3 0.5 102.6 126.8 133.7 130.0
viii) Major and Medium Irrigation Projects 67.5 24.2 58.9 57.5 4,796.3 5,452.5 5,050.5 5,452.4
ix) Minor Irrigation 21.2 33.1 33.1 50.0 699.6 547.6 787.1 547.5
x) Power 1,211.1 1,225.5 1,225.5 1,430.0 10,608.1 27,000.0 27,000.0 27,000.0
xi) Petroleum β β β β β β β β
xii) Village and Small Industries 4.3 4.3 4.3 0.9 17.0 19.6 15.4 19.6
xiii) Industries@ 2,499.9 3,012.5 3,012.5 5,011.5 9,128.5 11,003.5 14,097.4 15,003.7
xiv) Ports and Light Houses β β β β β β β β
xv) Road Transport 11.7 6.0 6.0 8.0 47.3 50.0 66.8 50.0
xvi) Tourism 4.8 39.0 39.0 40.0 126.0 150.0 12.6 150.0
xvii) Others* 124.6 81.7 94.7 90.9 7,382.3 8,430.9 8,296.2 8,985.6
D. Grants from the Centre (1 to 5) 50,752.7 105,097.4 123,660.8 87,200.4 224,051.7 486,852.7 496,385.6 495,998.0
1. State Plan Schemes 36,064.3 76,644.7 75,922.5 37,568.1 65,952.3 106,812.2 100,973.4 92,987.7
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes 130.1 1,663.0 2,419.0 1,437.2 2,259.0 586.3 586.3 204.9
3. Centrally Sponsored Schemes 5,234.2 19,414.2 36,096.9 42,037.7 76,502.6 301,050.7 314,786.3 321,059.3
4. NEC/ Special Plan Scheme β β β β β β β β
5. Non-Plan Grants (a to c) 9,324.1 7,375.4 9,222.4 6,157.4 79,337.9 78,403.5 80,039.5 81,746.1
a) Statutory Grants 4,427.3 5,025.2 5,833.4 3,818.3 72,498.8 71,870.3 73,506.3 74,777.5
b) Grants for relief on account
of Natural Calamities 1,490.0 1,287.2 2,200.0 1,890.0 3,396.0 3,563.3 3,563.3 3,510.0
c) Others 3,406.8 1,063.0 1,189.0 449.1 3,443.1 2,969.9 2,969.9 3,458.6
See 'Notes to Appendix I'.
162Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
WEST BENGAL
Item 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates)
1 2 3 4 5
TOTAL REVENUE (I+II) 728,817.9 1,059,782.0 964,661.1 1,131,002.2
I. TAX REVENUE (A+B) 590,055.8 732,107.5 683,040.5 784,631.3
A. State's Own Tax Revenue (1 to 3) 358,305.6 454,139.6 400,622.1 464,968.2
1. Taxes on Income (i+ii) 4,828.9 4,999.9 4,975.7 5,286.8
i) Agricultural Income Tax 176.0 150.0 90.0 108.0
ii) Taxes on Professions,Trades,
Callings and Employment 4,652.8 4,849.9 4,885.7 5,178.8
2. Taxes on Property and Capital
Transactions (i to iii) 63,066.1 82,282.2 66,233.2 76,295.3
i) Land Revenue 22,535.4 28,291.3 23,662.2 30,318.5
ii) Stamps and Registration Fees 40,530.7 53,990.6 42,571.1 45,976.7
iii) Urban Immovable Property Tax 0.1 0.4 β β
3. Taxes on Commodities and Services
(i to vii) 290,410.6 366,857.4 329,413.2 383,386.1
i) Sales Tax (a to f) 219,310.9 274,726.6 249,922.0 291,159.1
a) State Sales Tax/VAT 204,614.8 252,669.5 233,231.2 271,714.3
b) Central Sales Tax 14,693.8 22,046.4 16,688.0 19,441.6
d) Surcharge on Sales Tax 0.3 1.2 0.3 0.4
e) Receipts of Turnover Tax 1.0 6.7 1.1 1.3
f) Other Receipts 1.2 2.8 1.3 1.6
ii) State Excise 30,176.6 38,104.1 36,513.6 44,181.5
iii) Taxes on Vehicles 13,506.6 16,679.6 14,587.1 15,900.0
iv) Taxes on Goods and Passengers 9,995.8 16,515.4 8,697.1 9,764.7
v) Taxes and Duties on Electricity 12,133.0 14,037.4 14,189.9 16,602.2
vi) Entertainment Tax 703.8 764.5 781.9 821.0
vii) Other Taxes and Duties 4,583.9 6,029.9 4,721.5 4,957.6
B. Share in Central Taxes (i to ix) 231,750.2 277,967.9 282,418.4 319,663.1
i) Corporation Tax 77,939.7 96,215.0 94,111.1 110,647.3
ii) Income Tax 51,320.9 59,555.5 67,040.9 68,488.8
iii) Estate Duty β β β β
iv) Other Taxes on Income and Expenditure β β β β
v) Taxes on Wealth 213.9 240.5 218.3 276.6
vi) Customs 37,812.0 44,917.2 43,537.1 51,654.8
vii) Union Excise Duties 26,705.6 31,625.2 28,112.7 36,369.0
viii) Service Tax 37,758.2 45,414.6 49,398.4 52,226.8
ix) Other Taxes and Duties on Commodities
and Services -0.1 -0.1 -0.1 -0.1
II.NON-TAX REVENUE (C+D) 138,762.1 327,674.6 281,620.6 346,370.9
C. State's Own Non-Tax Revenue (1 to 6) 20,227.2 19,903.5 22,015.7 23,798.9
1. Interest Receipts 9,862.9 7,754.5 10,675.3 11,529.3
2. Dividends and Profi ts 83.5 28.3 90.2 97.4
163State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
WEST BENGAL
Item 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates)
1 2 3 4 5
3. General Services 5,089.1 5,626.4 5,557.0 6,001.6
of which: State Lotteries 1,696.9 1,923.3 1,832.6 1,979.2
4. Social Services ( i to ix) 2,122.4 2,470.4 2,332.2 2,525.6
i) Education, Sports, Art and Culture 631.9 463.8 682.4 737.0
ii) Medical and Public Health 914.4 1,259.2 987.6 1,066.6
iii) Family Welfare 0.6 1.0 0.6 0.7
iv) Housing 118.3 138.4 167.7 187.9
v) Urban Development 234.3 318.3 253.1 273.3
vi) Labour and Employment 57.7 72.7 62.3 67.3
vii) Social Security and Welfare 28.1 51.0 30.3 32.7
viii) Water Supply and Sanitation 90.5 118.9 97.7 105.5
ix) Others 46.7 47.3 50.4 54.5
5. Fiscal Services β β β β
6. Economic Services ( i to xvii ) 3,069.3 4,023.8 3,361.0 3,645.0
i) Crop Husbandry 66.9 96.6 72.3 78.1
ii) Animal Husbandry 30.1 38.7 32.5 35.1
iii) Fisheries 12.7 22.6 13.7 14.8
iv) Forestry and Wildlife 1,237.6 1,374.7 1,336.6 1,443.5
v) Plantations 0.2 0.1 0.2 0.2
vi) Co-operation 78.8 216.6 80.0 86.4
vii) Other Agricultural Programmes 2.8 1.9 3.0 3.3
viii) Major and Medium Irrigation Projects 123.1 120.0 133.0 143.6
ix) Minor Irrigation 178.1 228.1 192.3 207.7
x) Power 0.1 0.1 0.1 0.1
xi) Petroleum 0.2 0.2 0.2 0.2
xii) Village and Small Industries 21.3 19.0 23.0 24.8
xiii) Industries@ 462.8 446.0 499.8 539.8
xiv) Ports and Light Houses 1.3 2.8 1.5 1.6
xv) Road Transport β β β β
xvi) Tourism 9.1 10.6 1.1 1.2
xvii) Others* 844.3 1,445.7 971.9 1,064.8
D. Grants from the Centre (1 to 5) 118,534.9 307,771.1 259,604.9 322,572.0
1. State Plan Schemes 41,491.1 225,845.9 198,304.6 247,299.9
of which: Advance release of Plan
Assistance for Natural Calamities β β β β
2. Central Plan Schemes 1,873.7 β 3,991.7 5,190.6
3. Centrally Sponsored Schemes 37,269.5 β β β
4. NEC/ Special Plan Scheme β β β β
5. Non-Plan Grants (a to c) 37,900.6 81,925.2 57,308.6 70,081.5
a) Statutory Grants 17,016.9 30,970.7 29,718.9 29,968.3
b) Grants for relief on account
of Natural Calamities 2,646.5 2,778.8 2,778.8 2,778.8
c) Others 18,237.3 48,175.7 24,810.9 37,334.4
164Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
All STATES
Item 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates)
1 2 3 4 5
TOTAL REVENUE (I+II) 13,691,870.4 18,566,568.2 18,058,257.0 20,118,896.7
I. TAX REVENUE (A+B) 10,306,920.1 12,256,270.6 11,830,860.0 14,177,303.7
A. State's Own Tax Revenue (1 to 3) 7,124,185.5 8,398,689.1 8,168,699.2 9,322,115.9
1. Taxes on Income (i+ii) 52,036.5 55,746.1 53,879.8 62,972.0
i) Agricultural Income Tax 1,488.6 1,802.4 1,614.0 1,821.5
ii) Taxes on Professions,Trades,
Callings and Employment 50,547.9 53,943.7 52,265.8 61,150.4
2. Taxes on Property and Capital
Transactions (i to iii) 874,998.4 1,059,719.3 1,005,292.5 1,172,290.4
i) Land Revenue 90,147.9 115,855.9 103,396.3 136,472.8
ii) Stamps and Registration Fees 773,172.0 931,436.4 889,728.0 1,017,537.0
iii) Urban Immovable Property Tax 11,678.5 12,427.0 12,168.3 18,280.6
3. Taxes on Commodities and Services
(i to vii) 6,197,150.6 7,283,223.7 7,109,526.8 8,086,853.5
i) Sales Tax (a to f) 4,539,381.7 5,367,853.8 5,218,532.8 5,943,323.2
a) State Sales Tax/VAT 4,194,153.2 5,013,763.3 4,637,999.9 5,237,462.5
b) Central Sales Tax 312,253.5 339,870.9 332,833.3 367,066.4
d) Surcharge on Sales Tax 149.5 1.2 0.9 0.9
e) Receipts of Turnover Tax 720.5 745.0 739.9 906.5
f) Other Receipts 32,105.0 13,473.4 246,958.9 337,886.8
ii) State Excise 813,821.5 959,565.0 941,601.2 1,092,616.3
iii) Taxes on Vehicles 358,428.4 416,575.6 410,292.0 463,801.3
iv) Taxes on Goods and Passengers 194,448.9 217,182.0 203,657.0 228,683.0
v) Taxes and Duties on Electricity 224,603.5 249,271.7 266,125.3 284,153.5
vi) Entertainment Tax 21,233.3 22,022.2 21,559.3 24,171.9
vii) Other Taxes and Duties 45,233.2 50,753.3 47,759.2 50,104.2
B. Share in Central Taxes (i to ix) 3,182,734.6 3,857,581.6 3,662,160.8 4,855,187.8
i) Corporation Tax 1,072,957.4 1,324,192.2 1,249,443.0 1,639,847.3
ii) Income Tax 706,510.3 865,376.1 842,328.0 1,128,769.5
iii) Estate Duty β β β -0.7
iv) Other Taxes on Income and Expenditure 1.5 -2.7 1.7 β
v) Taxes on Wealth 2,945.7 3,949.4 3,845.3 2,829.9
vi) Customs 520,540.6 614,936.9 589,187.3 770,158.2
vii) Union Excise Duties 367,644.2 414,391.3 379,347.7 507,491.8
viii) Service Tax 511,696.9 634,228.8 597,496.5 805,512.0
ix) Other Taxes and Duties on Commodities
and Services 438.0 509.6 511.4 579.8
II.NON-TAX REVENUE (C+D) 3,384,950.3 6,310,297.5 6,227,397.1 5,941,593.0
C. State's Own Non-Tax Revenue (1 to 6) 1,325,430.2 1,559,187.4 1,609,892.6 1,868,757.8
1. Interest Receipts 272,152.8 233,619.0 243,426.7 190,387.3
2. Dividends and Profi ts 17,475.4 13,314.5 14,650.5 17,013.1
165State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
All STATES
Item 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates)
1 2 3 4 5
3. General Services 194,586.3 301,146.5 340,103.9 426,300.8
of which: State Lotteries 47,170.6 56,790.9 70,645.0 70,294.6
4. Social Services ( i to ix) 229,744.2 232,779.5 262,059.7 338,744.4
i) Education, Sports, Art and Culture 139,691.2 120,128.5 149,330.2 176,920.0
ii) Medical and Public Health 22,087.8 24,532.4 24,225.9 26,688.2
iii) Family Welfare 1,598.9 1,164.4 1,286.5 1,412.4
iv) Housing 3,971.4 3,911.1 4,970.8 14,922.7
v) Urban Development 30,880.5 45,817.4 44,196.5 80,263.8
vi) Labour and Employment 11,424.4 10,833.1 12,513.7 12,202.3
vii) Social Security and Welfare 7,122.5 12,253.9 9,167.7 9,241.3
viii) Water Supply and Sanitation 7,164.4 8,878.0 8,472.2 11,147.4
ix) Others 5,803.2 5,260.8 7,896.2 5,946.3
5. Fiscal Services 2.7 1.6 1.4 2.0
6. Economic Services ( i to xvii ) 611,468.7 778,326.4 749,650.3 896,310.2
i) Crop Husbandry 6,998.7 5,324.9 6,356.2 6,709.9
ii) Animal Husbandry 2,826.1 2,425.0 3,300.9 3,301.8
iii) Fisheries 1,233.7 1,447.9 1,916.0 2,224.6
iv) Forestry and Wildlife 43,159.0 45,082.7 46,532.4 58,094.6
v) Plantations 36.5 50.2 64.5 52.1
vi) Co-operation 4,705.7 4,730.1 5,339.0 5,836.7
vii) Other Agricultural Programmes 1,309.0 1,141.4 2,063.9 2,206.0
viii) Major and Medium Irrigation Projects 43,194.7 42,798.1 42,656.2 47,845.0
ix) Minor Irrigation 9,170.7 11,161.0 11,502.8 9,250.3
x) Power 62,550.0 109,889.5 106,502.3 102,131.3
xi) Petroleum 77,451.2 97,750.7 73,884.0 97,751.1
xii) Village and Small Industries 1,988.4 1,849.8 1,808.6 1,844.9
xiii) Industries@ 292,249.8 380,861.5 373,662.6 474,329.9
xiv) Ports and Light Houses 7,974.7 8,831.5 9,750.8 10,390.7
xv) Road Transport 14,183.8 16,782.2 16,202.4 18,221.2
xvi) Tourism 517.6 611.9 489.6 660.9
xvii) Others* 41,919.0 47,587.9 47,618.2 55,459.2
D. Grants from the Centre (1 to 5) 2,059,520.1 4,751,110.1 4,617,504.5 4,072,835.2
1. State Plan Schemes 899,656.0 2,704,401.5 2,644,216.2 2,032,411.3
of which: Advance release of Plan
Assistance for Natural Calamities β β β β
2. Central Plan Schemes 34,251.1 174,625.2 135,471.2 119,030.2
3. Centrally Sponsored Schemes 450,043.3 886,378.3 887,204.1 878,282.1
4. NEC/ Special Plan Scheme 4,242.0 9,072.7 7,858.7 9,054.6
5. Non-Plan Grants (a to c) 671,327.7 976,632.4 942,754.2 1,034,057.0
a) Statutory Grants 441,865.5 613,543.6 558,085.5 629,114.3
b) Grants for relief on account
of Natural Calamities 61,590.3 63,778.0 68,437.5 75,935.3
c) Others 167,871.8 299,310.8 316,231.3 329,007.5
166Appendix I
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
NATIONAL CAPITAL TERRITORY OF DELHI PUDUCHERRY
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL REVENUE (I+II) 279,806.9 364,041.0 321,400.0 385,650.0 43,076.1 53,166.2 51,470.0 56,000.0
I. TAX REVENUE (A+B) 259,186.9 315,710.0 276,700.0 346,610.0 19,045.1 21,000.0 20,300.0 23,400.0
A. State's Own Tax Revenue (1 to 3) 259,186.9 315,710.0 276,700.0 346,610.0 19,045.1 21,000.0 20,300.0 23,400.0
1. Taxes on Income (i+ii) β β β β β β β β
i) Agricultural Income Tax β β β β β β β β
ii) Taxes on Professions,Trades,
Callings and Employment β β β β β β β β
2. Taxes on Property and Capital
Transactions (i to iii) 29,690.8 48,000.0 30,000.0 39,000.0 839.3 968.0 998.0 1,167.5
i) Land Revenue 0.1 0.2 618.5 0.2 11.4 8.0 8.0 17.5
ii) Stamps and Registration Fees 29,690.7 47,999.8 29,381.5 38,999.8 827.9 960.0 990.0 1,150.0
iii) Urban Immovable Property Tax β β β β β β β β
3. Taxes on Commodities and Services
(i to vii) 229,496.1 267,710.0 246,700.0 307,610.0 18,205.8 20,032.0 19,302.0 22,232.5
i) Sales Tax (a to e) 179,257.1 210,000.0 190,000.0 240,000.0 12,567.1 13,800.0 13,200.0 15,100.0
a) State Sales Tax/VAT 161,766.8 188,490.0 169,799.0 216,799.0 12,567.1 13,800.0 13,200.0 15,100.0
b) Central Sales Tax 17,486.7 21,507.5 20,200.0 23,200.0 β β β β
c) Surcharge on Sales Tax β β β β β β β β
d) Receipts of Turnover Tax β β β β β β β β
e) Other Receipts 3.7 2.5 1.0 1.0 β β β β
ii) State Excise 31,516.3 36,000.0 35,500.0 41,000.0 5,117.2 5,600.0 5,400.0 6,300.0
iii) Taxes on Vehicles 14,092.8 16,000.0 16,000.0 19,000.0 519.5 630.0 700.0 830.0
iv) Taxes on Goods and Passengers β β β β β β β β
v) Taxes and Duties on Electricity β β β β β β β β
vi) Entertainment Tax 887.2 1,320.0 1,040.0 1,900.0 β β β β
vii) Other Taxes and Duties 3,742.8 4,390.0 4,160.0 5,710.0 2.0 2.0 2.0 2.5
B. Share in Central Taxes (i to ix) β β β β β β β β
i) Corporation Tax β β β β β β β β
ii) Income Tax β β β β β β β β
iii) Estate Duty β β β β β β β β
iv) Other Taxes on Income and Expenditure β β β β β β β β
v) Taxes on Wealth β β β β β β β β
vi) Customs β β β β β β β β
vii) Union Excise Duties β β β β β β β β
viii) Service Tax β β β β β β β β
ix) Other Taxes and Duties on Commodities
and Services β β β β β β β β
II.NON-TAX REVENUE (C+D) 20,620.0 48,331.0 44,700.0 39,040.0 24,031.0 32,166.2 31,170.0 32,600.0
C. State's Own Non-Tax Revenue (1 to 6) 6,591.4 11,610.1 9,640.0 11,270.0 11,925.9 13,600.0 15,400.0 14,600.0
1. Interest Receipts 3,793.5 7,783.0 6,040.0 7,400.0 621.3 743.0 1,596.1 849.1
2. Dividends and Profi ts 119.5 250.0 250.0 250.0 63.1 73.2 78.4 83.7
167State Finances : A Study of Budgets of 2015-16
Appendix I : Revenue Receipts of States and Union Territories with Legislature (Concld.)
(` Million)
NATIONAL CAPITAL TERRITORY OF DELHI PUDUCHERRY
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
3. General Services 1,332.0 1,900.9 1,624.3 1,812.5 240.3 137.2 147.0 156.8
of which: State Lotteries β β β β β β β β
4. Social Services ( i to ix) 955.2 1,177.3 1,071.2 1,158.2 198.5 243.9 261.3 278.7
i) Education, Sports, Art and Culture 187.7 250.0 182.0 182.5 9.1 10.0 10.7 11.4
ii) Medical and Public Health 630.5 750.0 730.0 806.0 94.6 109.7 117.5 125.4
iii) Family Welfare β 0.1 0.2 0.2 β β β β
iv) Housing 74.0 90.0 87.0 95.5 5.5 6.1 6.5 7.0
v) Urban Development β 0.1 0.1 0.1 0.1 0.1 0.1 0.1
vi) Labour and Employment 62.0 85.0 65.7 67.7 21.8 23.9 25.6 27.3
vii) Social Security and Welfare 0.8 1.8 6.0 6.0 2.3 2.5 2.7 2.9
viii) Water Supply and Sanitation β β β β 59.7 85.7 91.8 97.9
ix) Others 0.1 0.3 0.2 0.2 5.3 5.9 6.3 6.8
5. Fiscal Services β β β β β β β β
6. Economic Services ( i to xvii ) 391.2 499.0 654.5 649.3 10,802.7 12,402.7 13,317.1 13,231.6
i) Crop Husbandry 2.6 2.2 2.8 2.8 3.8 4.1 4.4 4.7
ii) Animal Husbandry 3.3 4.4 4.2 3.0 1.0 1.1 1.2 1.3
iii) Fisheries 0.5 0.8 0.8 0.8 16.8 3.5 3.8 4.0
iv) Forestry and Wildlife 3.3 3.8 6.0 6.0 1.7 1.9 2.0 2.2
v) Plantations β β β β β β β β
vi) Co-operation 7.5 2.0 6.0 6.0 3.2 3.6 3.8 4.1
vii) Other Agricultural Programmes 0.5 0.6 0.5 0.5 0.1 0.1 0.1 0.1
viii) Major and Medium Irrigation Projects 87.4 100.0 250.0 200.0 β β β β
ix) Minor Irrigation β 0.1 0.1 0.1 1.0 1.2 1.2 1.3
x) Power 184.6 240.1 240.1 260.1 10,551.5 12,200.0 13,100.0 13,000.0
xi) Petroleum β β β β β β β β
xii) Village and Small Industries 1.8 3.0 2.5 3.0 0.9 1.0 1.1 1.2
xiii) Industries@ 0.2 1.2 0.5 0.6 94.3 43.8 46.9 50.1
xiv) Ports and Light Houses β β β β 103.1 109.6 117.4 125.2
xv) Road Transport β β β β β β β β
xvi) Tourism 2.6 3.0 2.2 2.5 6.3 6.9 7.4 7.9
xvii) Others* 97.0 137.8 138.8 163.9 19.0 25.9 27.8 29.6
D. Grants from the Centre (1 to 5) 14,028.6 36,720.9 35,060.0 27,770.0 12,105.1 18,566.2 15,770.0 18,000.0
1. State Plan Schemes 7,178.1 28,445.9 17,500.0 8,182.5 6,636.9 8,182.3 8,120.0 7,440.0
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β β β β β
3. Centrally Sponsored Schemes 3,581.4 β 9,000.0 8,000.0 333.2 5,253.9 2,520.0 3,500.0
4. NEC/ Special Plan Scheme β β β β β β β β
5. Non-Plan Grants (a to c) 3,269.1 8,275.0 8,560.0 11,587.5 5,135.0 5,130.0 5,130.0 7,060.0
a) Statutory Grants 3,250.0 3,250.0 3,250.0 3,250.0 5,130.0 5,130.0 5,130.0 5,560.0
b) Grants for relief on account
of Natural Calamities β β β β β β β β
c) Others 19.1 5,025.0 5,310.0 8,337.5 5.0 β β 1,500.0
βββ : Nil/Negligible/Not available.
@ : Include Non-Ferrous Mining and Metallurgical Industries and Other Industries.
* : Include receipts from Dairy Development, Land Reforms, Other Rural Development Programmes, Hill Areas, Civil Aviation, Inland Water Transport, Foreign Trade and
Export Promotion, Non-conventional Energy Sources, General Economic Services, Civil Supplies, Roads and Bridges, etc.
Also see notes to Appendices.
Note: Data pertaining to Jammu and Kashmir for 2013-14 is taken from Finance Accounts of the State published by CAG.
Source : Budget documents of state governments.
168Appendix II
169
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
HSEDARP
ARHDNA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
8.742,479
9.632,237
9.010,242
3.680,389
1.044,138
2.646,151
2.814,189
6.467,987
6.356,191
9.447,301,1
0.273,268
9.273,142
)III+II+I( ERUTIDNEPXE
LATOT
1.240,856
2.886,614
9.353,142
1.855,776
9.396,625
2.468,051
0.992,676
4.724,584
6.178,091
1.485,237
5.668,194
6.717,042
)B
+ A(
ERUTIDNEPXE
LATNEMPOLEVED
.I
7.958,234
7.207,852
9.651,471
3.190,353
5.535,762
8.555,58
8.427,853
7.161,372
2.365,58
9.855,944
9.595,862
0.369,081
)21 ot 1( secivreS
laicoS
.A
0.469,871
9.834,451
0.525,42
3.467,441
3.916,031
0.541,41
0.257,051
1.016,631
9.141,41
5.797,481
7.345,151
8.352,33
erutluC
dna
trA ,stropS ,noitacudE
.1
5.521,93
0.653,83
5.967
6.646,43
7.121,33
9.425,1
7.009,43
8.573,33
9.425,1
2.470,84
5.068,53
7.312,21
htlaeH
cilbuP dna lacideM
.2
6.215,41
4.52
2.784,41
0.107,6
8.28
2.816,6
5.107,6
2.38
2.816,6
2.396,9
6.76
5.526,9
erafleW ylimaF
.3
2.348,8
5.972,2
8.365,6
6.127,9
9.900,2
7.117,7
3.960,01
1.743,2
2.227,7
0.225,6
0.018,2
0.217,3
noitatinaS
dna ylppuS retaW
.4
3.415,5
8.720,1
5.684,4
4.089,2
4.089
0.000,2
3.489,2
3.489
0.000,2
6.551,6
0.431
6.120,6
gnisuoH
.5
7.826,42
7.406,31
0.420,11
1.103,82
9.741,71
2.351,11
9.743,82
6.491,71
2.351,11
5.923,41
4.832,7
1.190,7
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
1.865,66
0.292,81
2.672,84
3.025,95
5.259,53
8.765,32
2.710,06
4.944,63
8.765,32
9.677,17
2.966,61
8.701,55
sessalC drawkcaB
8.289,1
5.943,1
3.336
5.616,2
5.088,1
0.637
4.486,2
4.849,1
0.637
5.301,2
7.787,1
7.513
erafleW
ruobaL dna ruobaL
.8
5.076,65
5.989
1.186,55
4.177,92
7.762,02
7.305,9
3.090,82
6.685,81
7.305,9
4.790,44
6.608,1
8.092,24
erafleW
dna ytiruceS laicoS
.9
5.031,03
0.020,32
5.011,7
9.644,82
7.126,02
2.528,7
8.284,82
6.756,02
2.528,7
5.767,04
2.194,13
3.672,9
noitirtuN
.01
6.324,4
6.324,4
β
7.896,3
7.896,3
β
0.617,3
0.617,3
β
8.686,71
8.686,71
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
9.594,1
9.598
0.006
4.229,1
6.251,1
8.967
5.879,1
7.802,1
8.967
8.455,3
2.005,1
6.450,2
*srehtO
.21
4.281,522
5.589,751
9.691,76
8.664,423
3.851,952
4.803,56
2.475,713
8.562,212
4.803,501
2.520,382
6.072,322
6.457,95
)9 ot 1( secivreS cimonocE
.B
2.563,58
6.487,76
6.085,71
3.396,78
7.608,37
6.688,31
9.778,78
3.199,33
6.688,35
5.073,93
1.543,81
4.520,12
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
1.208,56
3.787,35
7.410,21
2.255,96
6.106,95
7.059,9
9.485,92
3.436,91
7.059,9
6.026,12
6.158,2
9.867,81
yrdnabsuH porC)i
7.613
1.362
6.35
7.164
8.143
0.021
9.864
9.843
0.021
0.313
0.982
0.42
noitavresnoC
retaW dna lioS)ii
4.781,6
4.798,4
0.092,1
1.176,6
1.112,5
0.064,1
2.337,6
2.372,5
0.064,1
4.724,5
0.108,4
4.626
yrdnabsuH laminA)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD)vi
9.639,1
0.563
9.175,1
6.006
5.964
2.131
7.006
6.964
2.131
9.556
2.493
6.162
seirehsiF)v
8.007,2
3.869,1
5.237
4.416,3
2.068,2
2.457
7.169,3
5.702,3
2.457
3.389,3
7.121,3
5.168
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
0.146
β
0.146
7.813
β
7.813
7.813
β
7.813
6.59
β
6.59
gnisuoheraW
dna egarotS dooF)iiiv
1.405,6
3.252,5
8.152,1
9.201,5
1.159,3
8.151,1
2.515,4
3.363,3
8.151,1
4.597,5
4.024,5
0.573
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
2.151,1
1.621,1
1.52
8.482,1
8.482,1
β
7.865,1
7.865,1
β
9.663,1
5.453,1
3.21
noitarepo-oC)ix
1.521
1.521
β
7.68
7.68
β
9.521,04
9.521
0.000,04
6.211
6.211
β
semmargorP
larutlucirgA rehtO)iix
8.840,56
8.920,92
1.910,63
2.582,97
2.205,63
0.387,24
6.776,97
6.498,63
0.387,24
0.377,64
2.387,52
8.989,02
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
aerA laicepS
.3
3.164,6
2.385,5
0.878
8.918,15
4.740,15
4.277
2.966,25
8.698,15
4.277
4.016,88
7.025,48
7.980,4
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
1.844,5
4.947,4
7.896
9.420,05
6.504,94
3.916
7.358,05
4.432,05
3.916
2.107,38
7.384,28
5.712,1
noitagirrI
muideM dna rojaM
)i
0.178
2.428
8.64
4.439
4.429
0.01
0.559
0.549
0.01
0.445,3
0.059
0.495,2
noitagirrI roniM
)ii
7.9
7.9
β
4.717
4.717
β
4.717
4.717
β
0.780,1
0.780,1
β
eganiarD
dna lortnoC doolF
)iii
6.947,24
7.466,24
9.48
3.742,17
2.631,17
1.111
6.152,17
5.041,17
1.111
5.421,47
2.173,37
3.357
ygrenE
.5
9.617,24
0.256,24
9.46
2.881,17
6.421,17
6.36
5.291,17
9.821,17
6.36
5.470,47
2.153,37
3.327
rewoP :hcihw
fo
3.095,6
1.339,1
2.756,4
0.035,51
7.844,11
3.180,4
2.469,6
9.288,2
3.180,4
7.249,7
7.538,1
0.701,6
)iii ot
i( slareniM dna yrtsudnI
.6
7.301,2
8.811,1
9.489
4.156,7
4.803,6
0.343,1
7.841,3
7.508,1
0.343,1
4.861,5
6.031,1
8.730,4
seirtsudnI
llamS dna egalliV)i
5.644,4
3.418
2.236,3
8.926,7
3.041,5
5.984,2
7.665,3
2.770,1
5.984,2
5.427,2
1.507
4.910,2
@seirtsudnI)ii
1.04
β
1.04
8.842
β
8.842
8.842
β
8.842
7.94
β
7.94
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
170
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
HSEDARP
ARHDNA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
6.001,9
6.059,8
0.051
1.410,21
1.469,11
0.05
7.520,21
7.579,11
0.05
9.353,91
7.429,61
2.924,2
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
6.875,7
6.875,7
β
7.444,01
7.444,01
β
0.844,01
0.844,01
β
8.919,61
6.026,41
2.992,2
segdirB dna sdaoR)i
0.225,1
0.273,1
0.051
4.965,1
4.915,1
0.05
7.775,1
7.725,1
0.05
1.434,2
1.403,2
0.031
@@ srehtO)ii
3.47
7.22
6.15
7.77
2.62
4.15
7.77
3.62
4.15
9.071
6.92
3.141
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
2.297,9
6.610,2
6.577,7
4.997,6
8.622,3
6.275,3
3.030,7
7.754,3
6.275,3
4.976,6
4.064,2
0.912,4
)vi
ot
i( secivreS
cimonocE lareneG
.9
4.271,5
4.485
0.885,4
8.419,1
3.576
4.932,1
3.389,1
9.347
4.932,1
8.445,3
9.557
9.887,2
secivreS
cimonocE
- tairaterceS)i
7.982,2
3.44
4.542,2
3.033
8.94
6.082
7.033
2.05
6.082
2.536
3.67
9.855
msiruoT)ii
1.464,1
6.356
5.018
7.599,2
8.756,1
9.733,1
8.741,3
9.908,1
9.733,1
4.932,1
5.987
9.944
seilppuS liviC)iii
0.668
3.437
7.131
6.855,1
9.348
7.417
5.865,1
8.358
7.417
0.062,1
8.838
2.124
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
7.545,513
7.888,413
0.756
9.665,403
9.487,303
0.287
9.751,403
9.573,303
0.287
4.589,863
1.033,863
3.556
)F ot A( )secivreS
lareneG(
0.434,7
0.483,7
0.05
2.434,9
7.614,9
5.71
1.289,9
5.469,9
5.71
4.061,01
4.710,01
0.341
etatS fo
snagrO
.A
1.747,8
1.726,8
0.021
9.999,9
3.668,9
7.331
0.825,8
4.493,8
7.331
6.223,11
6.051,11
0.271
)ii + i( secivreS
lacsiF
.B
1.747,8
1.726,8
0.021
9.999,9
3.668,9
7.331
0.825,8
4.493,8
7.331
9.387,01
8.116,01
0.271
seituD
dna sexaT fo noitcelloC)i
β
β
β
β
β
β
β
β
β
7.835
7.835
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
3.480,711
3.480,711
β
6.468,101
6.468,101
β
6.468,101
6.468,101
β
6.598,631
6.598,631
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
3.201,5
3.201,5
β
3.201,5
3.201,5
β
3.201,5
3.201,5
β
2.987,7
2.987,7
β
tbeD fo ecnadiovA
9.189,111
9.189,111
β
3.267,69
3.267,69
β
3.267,69
3.267,69
β
4.601,921
4.601,921
β
)vi
ot i( stnemyaP tseretnI
.2
2.860,5
2.860,5
β
2.860,8
2.860,8
β
2.860,8
2.860,8
β
5.077,8
5.077,8
β
ertneC
eht morf
snaoL no tseretnI)i
3.821,69
3.821,69
β
6.319,87
6.319,87
β
6.319,87
6.319,87
β
2.214,901
2.214,901
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
4.334,18
4.334,18
β
4.334,16
4.334,16
β
4.334,16
4.334,16
β
9.835,77
9.835,77
β
snaoL
tekraM
no tseretnI )a(
6.530,31
6.530,31
β
6.530,31
6.530,31
β
6.530,31
6.530,31
β
6.731,52
6.731,52
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
4.587,01
4.587,01
β
4.087,9
4.087,9
β
4.087,9
4.087,9
β
7.329,01
7.329,01
β
.cte
,sdnuF tnedivorP
β
β
β
β
β
β
β
β
β
β
β
β
srehtO)vi
3.200,46
3.515,36
0.784
5.484,58
7.358,48
8.036
0.200,68
2.173,58
8.036
0.977,37
8.834,37
3.043
)v ot
i( secivreS evitartsinimdA
.D
2.769,6
2.565,6
0.204
9.721,43
3.055,33
6.775
4.281,43
8.406,33
6.775
7.517,1
5.816,1
2.79
secivreS
lareneG - tairaterceS)i
2.261,21
2.261,21
β
9.804,01
1.993,01
8.9
0.696,9
2.686,9
8.9
4.326,01
1.026,01
3.3
noitartsinimdA tcirtsiD)ii
9.024,63
9.024,63
β
5.145,13
5.145,13
β
9.310,23
9.310,23
β
8.115,05
3.073,05
6.141
eciloP)iii
4.420,2
4.420,2
β
5.966,2
5.966,2
β
5.896,2
5.896,2
β
9.156,2
9.156,2
β
skroW cilbuP)vi
6.724,6
6.243,6
0.58
6.637,6
2.396,6
4.34
2.114,7
8.763,7
4.34
2.672,8
0.871,8
2.89
++ srehtO)v
1.772,811
1.772,811
β
1.087,79
1.087,79
β
1.087,79
1.087,79
β
1.328,631
1.328,631
β
snoisneP
.E
8.0
8.0
β
6.3
6.3
β
1.1
1.1
β
7.4
7.4
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
0.066
0.066
β
3.169
3.169
β
3.169
3.169
β
4.571,2
4.571,2
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
0.066
0.066
β
3.169
3.169
β
3.169
3.169
β
4.571,2
4.571,2
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
171
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
HSEDARP
LAHCANURA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
3.420,39
4.309,55
9.021,73
0.822,58
7.528,44
3.204,04
1.397,17
7.531,83
4.756,33
0.413,75
9.575,93
1.837,71
)III+II+I( ERUTIDNEPXE
LATOT
2.513,36
4.346,72
8.176,53
7.716,46
7.010,52
0.706,93
2.218,55
0.056,22
3.261,33
3.315,93
8.032,22
5.282,71
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
3.863,03
5.474,21
7.398,71
7.587,03
7.634,21
0.943,81
8.110,22
3.441,01
5.768,11
6.107,71
7.307,9
8.799,7
)21 ot 1( secivreS
laicoS
.A
0.137,51
5.687,6
5.449,8
8.635,51
5.191,6
4.543,9
7.754,01
9.177,5
8.586,4
8.487,7
2.665,5
5.812,2
erutluC dna
trA ,stropS ,noitacudE
.1
0.132,6
3.418,2
7.614,3
7.767,5
5.396,2
2.470,3
3.116,3
8.721,2
5.384,1
4.889,2
1.814,2
3.075
htlaeH
cilbuP dna lacideM
.2
3.951
8.521
5.33
1.293
0.852
2.431
0.852
0.852
β
9.031
β
9.031
erafleW ylimaF
.3
2.778,3
9.262,1
2.416,2
6.520,4
2.116
4.414,3
9.420,4
2.195
7.334,3
6.776,2
1.106
5.670,2
noitatinaS
dna ylppuS retaW
.4
8.712
2.41
6.302
8.332
3.11
5.222
0.662
0.01
0.652
1.742
7.06
4.681
gnisuoH
.5
3.808
3.814
0.093
8.953
9.901
8.942
5.003
7.431
8.561
0.692
8.77
2.812
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
β
β
β
β
β
β
β
β
β
β
β
β
sessalC drawkcaB
5.576
3.701
2.865
5.543
6.49
9.052
6.823
6.87
0.052
6.841
6.19
0.75
erafleW
ruobaL dna ruobaL
.8
6.544,1
1.891
5.742,1
4.573,1
6.691
8.871,1
2.275,1
8.112
3.063,1
2.562,1
1.271
1.390,1
erafleW
dna ytiruceS laicoS
.9
5.463
1.1
4.363
8.863
2.0
6.863
1.102
1.1
0.002
0.192
7.0
4.092
noitirtuN
.01
5.225
0.015
5.21
2.601,2
9.240,2
3.36
8.777
3.377
5.4
9.016,1
6.105
4.901,1
seitimalaC
larutaN
fo tnuocca no feileR
.11
6.533
9.532
7.99
0.472
0.722
9.64
9.312
9.581
0.82
0.162
8.312
1.74
*srehtO
.21
9.649,23
9.861,51
0.877,71
0.238,33
1.475,21
0.852,12
4.008,33
7.505,21
7.492,12
7.118,12
1.725,21
6.482,9
)9 ot 1( secivreS cimonocE
.B
8.218,6
2.310,5
6.997,1
7.304,7
6.628,4
1.775,2
2.733,7
9.853,5
3.879,1
0.950,6
4.085,4
6.874,1
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
0.086,1
9.849
0.137
1.702,2
8.448
4.263,1
7.830,2
6.447
1.492,1
0.093,1
5.957
5.036
yrdnabsuH porC)i
0.544
6.524
4.91
8.494
7.593
1.99
0.534
4.753
6.77
1.024
1.533
9.48
noitavresnoC
retaW dna lioS)ii
3.180,1
0.546
3.634
4.588
4.826
9.652
4.587
1.584
3.003
1.478
1.785
1.782
yrdnabsuH laminA)iii
3.02
1.9
2.11
9.86
5.8
4.06
9.33
1.9
9.42
3.32
4.8
9.41
tnempoleveD yriaD)vi
2.241
1.311
1.92
4.562
0.911
4.641
1.641
2.301
9.24
0.482
3.511
7.861
seirehsiF)v
1.100,3
2.475,2
9.624
8.816,2
0.932,2
9.973
7.664,3
6.752,3
1.902
5.116,1
8.464,1
7.641
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
3.113
9.381
4.721
0.035
5.774
6.25
4.013
6.603
7.3
6.022,1
1.012,1
5.01
gnisuoheraW
dna egarotS dooF)iiiv
9.71
9.71
β
0.561
8.61
2.841
7.42
7.61
0.8
3.211
4.41
8.79
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
8.79
4.98
4.8
7.251
4.19
3.16
5.18
6.37
8.7
6.69
1.97
5.71
noitarepo-oC)ix
0.61
0.6
0.01
6.51
6.5
0.01
9.41
9.4
0.01
5.62
5.6
0.02
semmargorP
larutlucirgA rehtO)iix
3.207,4
1.151,2
2.155,2
9.293,2
4.986
4.307,1
6.805,5
9.230,1
7.574,4
5.452,1
5.917
0.535
tnempoleveD laruR
.2
4.458
5.3
0.158
5.230,2
7.0
8.130,2
6.342,1
6.0
0.342,1
9.807
7.0
2.807
semmargorP
aerA laicepS
.3
5.299
3.617
2.672
6.162,2
0.134
6.038,1
4.745,1
2.904
1.831,1
5.876,1
0.494
5.481,1
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
β
β
β
β
β
β
β
β
β
8.4
β
8.4
noitagirrI
muideM dna rojaM
)i
5.299
3.617
2.672
8.841,2
0.134
8.717,1
4.745,1
2.904
1.831,1
8.124,1
0.494
8.729
noitagirrI roniM
)ii
β
β
β
β
β
β
β
β
β
0.591
β
0.591
eganiarD
dna lortnoC doolF
)iii
5.165,4
9.189,2
6.975,1
8.684,4
0.393,2
9.390,2
6.856,3
6.847,1
1.019,1
2.870,4
4.132,2
9.648,1
ygrenE
.5
5.042,4
9.189,2
6.852,1
0.314,4
0.393,2
0.020,2
8.485,3
6.847,1
2.638,1
4.500,4
4.132,2
1.477,1
rewoP :hcihw
fo
3.588
5.524
8.954
3.317
4.704
9.503
3.725
5.563
8.161
9.985
3.953
5.032
)iii ot
i( slareniM dna yrtsudnI
.6
7.484
1.843
6.631
8.284
5.733
3.541
7.314
9.903
8.301
6.224
9.492
7.721
seirtsudnI
llamS dna egalliV)i
5.191
6.07
9.021
0.211
1.56
9.64
2.78
8.15
4.53
6.19
5.85
0.33
@seirtsudnI)ii
2.902
9.6
4.202
5.811
8.4
7.311
4.62
7.3
6.22
8.57
0.6
8.96
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
172
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
HSEDARP
LAHCANURA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
7.899,7
1.814,3
6.085,4
7.394,21
1.533,3
6.851,9
0.163,21
7.412,3
3.641,9
2.656,5
0.867,3
2.888,1
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
6.516,6
9.142,2
7.373,4
8.274,11
8.314,2
0.950,9
1.594,11
3.493,2
8.001,9
9.837,4
8.109,2
1.738,1
segdirB dna sdaoR)i
1.383,1
2.671,1
9.602
8.020,1
3.129
5.99
9.568
3.028
5.54
3.719
2.668
1.15
@@ srehtO)ii
8.831
8.41
0.421
3.042
2.1
1.932
3.431
0.1
3.331
8.221
3.1
5.121
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
6.000,6
6.444
0.655,5
3.708,1
7.984
7.713,1
4.284,1
4.473
0.801,1
6.366,1
4.273
3.192,1
)vi
ot
i( secivreS
cimonocE lareneG
.9
4.904,5
8.72
6.183,5
7.500,1
0.9
7.699
7.589
4.9
4.679
9.810,1
2.8
7.010,1
secivreS
cimonocE
- tairaterceS)i
0.781
3.24
7.441
5.142
3.301
2.831
8.421
5.14
3.38
4.391
9.33
6.951
msiruoT)ii
8.002
1.881
7.21
5.603
8.702
7.89
9.661
9.651
0.01
7.712
6.381
1.43
seilppuS liviC)iii
4.302
4.681
1.71
6.352
6.961
1.48
0.502
6.661
4.83
6.332
7.641
9.68
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
1.907,92
9.952,82
2.944,1
3.016,02
0.518,91
3.597
9.089,51
8.584,51
1.594
6.008,71
0.543,71
6.554
)F ot A( )secivreS
lareneG(
9.626
9.626
β
7.515,1
7.515,1
β
5.989
5.489
0.5
4.438
4.438
β
etatS fo
snagrO
.A
6.765
6.342
9.323
0.233
1.942
9.28
7.532
6.691
1.93
8.362
5.022
3.34
)ii + i( secivreS
lacsiF
.B
0.955
3.532
7.323
1.123
6.142
5.97
9.522
2.091
7.53
3.452
3.412
1.04
seituD
dna sexaT fo noitcelloC)i
5.8
3.8
3.0
9.01
5.7
4.3
8.9
4.6
4.3
5.9
3.6
2.3
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
5.345,6
5.345,6
β
3.828,3
3.828,3
β
2.898,3
2.898,3
β
1.523,3
1.523,3
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
0.000,2
0.000,2
β
0.002
0.002
β
0.042
0.042
β
0.002
0.002
β
tbeD fo ecnadiovA
5.345,4
5.345,4
β
3.826,3
3.826,3
β
2.856,3
2.856,3
β
1.521,3
1.521,3
β
)vi
ot i( stnemyaP tseretnI
.2
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
eht morf
snaoL no tseretnI)i
β
β
β
β
β
β
β
β
β
β
β
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
β
β
β
β
β
β
β
β
β
β
β
β
snaoL
tekraM
no tseretnI )a(
β
β
β
β
β
β
β
β
β
β
β
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,sdnuF tnedivorP
5.345,4
5.345,4
β
3.826,3
3.826,3
β
2.856,3
2.856,3
β
1.521,3
1.521,3
β
srehtO)vi
9.075,41
7.544,31
2.521,1
3.139,01
8.812,01
5.217
7.943,7
7.898,6
1.154
3.983,9
9.679,8
4.214
)v ot
i( secivreS evitartsinimdA
.D
6.528
2.508
4.02
2.678
0.168
1.51
6.195
5.585
2.6
2.108
3.287
9.81
secivreS
lareneG - tairaterceS)i
7.768,5
0.867,5
7.99
0.908,1
4.256,1
6.651
6.174,1
5.654,1
0.51
3.697,1
4.197,1
9.4
noitartsinimdA tcirtsiD)ii
6.177,5
6.679,4
0.597
2.630,6
8.487,5
4.152
5.544,4
5.743,4
0.89
6.127,4
5.656,4
2.56
eciloP)iii
4.705,1
6.483,1
8.221
7.806,1
4.983,1
3.912
5.534
1.621
4.903
2.594,1
2.822,1
0.762
skroW cilbuP)vi
6.895
3.115
3.78
3.106
3.135
0.07
5.504
1.383
4.22
9.475
5.815
4.65
++ srehtO)v
9.193,7
9.193,7
β
0.000,4
0.000,4
β
0.005,3
0.005,3
β
0.489,3
0.489,3
β
snoisneP
.E
2.8
2.8
β
0.3
0.3
β
7.7
7.7
β
1.4
1.4
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
β
β
β
β
β
β
β
β
β
β
β
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
173
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
MASSA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.826,515
7.967,643
8.858,861
8.192,425
2.908,923
6.284,491
6.029,484
4.144,013
1.974,471
1.817,913
4.816,942
7.990,07
)III+II+I( ERUTIDNEPXE
LATOT
8.538,523
4.241,761
4.396,851
7.439,443
0.669,561
7.869,871
7.326,413
7.302,551
0.024,951
9.368,381
2.473,121
6.984,26
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
8.495,322
5.409,421
3.096,89
3.931,332
6.189,021
7.751,211
8.823,902
1.254,311
7.678,59
4.061,331
7.224,09
7.737,24
)21 ot 1( secivreS
laicoS
.A
4.066,031
6.541,59
8.415,53
0.475,131
5.241,29
5.134,93
7.895,421
1.115,98
5.780,53
7.000,48
5.987,86
2.112,51
erutluC dna
trA ,stropS ,noitacudE
.1
7.765,72
5.033,31
2.732,41
4.194,72
6.320,21
8.764,51
5.348,62
9.959,11
6.388,41
0.501,51
8.875,9
2.625,5
htlaeH
cilbuP dna lacideM
.2
8.466,1
7.551
1.905,1
4.914,2
6.231
8.682,2
4.914,2
6.231
8.682,2
7.458,1
0.001
7.457,1
erafleW ylimaF
.3
5.995,4
0.105,4
5.89
2.096,4
0.154,4
2.932
7.781,4
5.849,3
2.932
3.526,3
1.263,3
2.362
noitatinaS
dna ylppuS retaW
.4
0.614,41
3.72
7.883,41
2.251,41
9.701
2.440,41
8.031,41
6.68
2.440,41
4.531
5.97
0.65
gnisuoH
.5
9.155,2
6.532
3.613,2
2.476,9
7.401,1
4.965,8
8.604,8
1.099
7.614,7
4.666,2
5.381
9.284,2
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
2.691,31
7.945
5.646,21
9.834,31
7.516
2.328,21
1.821,8
6.584
5.246,7
3.605,5
5.215
8.399,4
sessalC drawkcaB
1.704,2
8.188
3.525,1
9.823,2
8.768
1.164,1
8.168,1
7.568
0.699
7.244,1
7.996
0.347
erafleW
ruobaL dna ruobaL
.8
3.491,41
0.149,1
2.352,21
0.535,31
7.996,1
2.538,11
8.677,01
8.504,1
0.173,9
3.478,8
4.658
9.710,8
erafleW
dna ytiruceS laicoS
.9
6.970,4
0.52
6.450,4
4.068,5
9.42
5.538,5
4.077,3
9.42
5.547,3
2.743,4
7.937
5.706,3
noitirtuN
.01
4.082,7
4.012,7
0.07
1.690,7
1.620,7
0.07
5.824,3
5.853,3
0.07
0.499,4
0.489,4
0.01
seitimalaC
larutaN
fo tnuocca no feileR
.11
0.779
9.009
1.67
6.878
1.587
5.39
3.677
8.286
5.39
3.806
9.635
4.17
*srehtO
.21
0.142,201
9.732,24
1.300,06
4.597,111
4.489,44
0.118,66
9.492,501
6.157,14
3.345,36
4.307,05
5.159,03
9.157,91
)9 ot 1( secivreS cimonocE
.B
4.966,03
8.479,21
6.496,71
0.673,13
0.164,41
0.519,61
8.548,92
5.220,41
3.328,51
8.531,51
1.070,8
7.560,7
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
8.992,31
1.136,2
7.866,01
7.258,11
5.464,2
2.883,9
3.912,11
1.054,2
2.967,8
4.353,5
6.364,1
7.988,3
yrdnabsuH porC)i
0.700,2
9.083
1.626,1
9.944,2
3.523
6.421,2
5.234,2
9.323
6.801,2
2.836
7.962
5.863
noitavresnoC
retaW dna lioS)ii
4.613,3
2.526,2
2.196
9.330,3
3.563,2
6.866
9.130,3
3.563,2
6.666
7.729,1
7.387,1
0.441
yrdnabsuH laminA)iii
1.294
6.362
5.822
9.677
8.715
0.952
4.407
8.715
5.681
0.671
5.451
5.12
tnempoleveD yriaD)vi
3.979
9.863
3.016
7.549
2.063
5.585
3.478
2.063
1.415
2.307
6.662
7.634
seirehsiF)v
8.495,5
4.781,3
4.704,2
9.982,5
0.531,3
9.451,2
2.679,4
0.231,3
2.448,1
1.387,3
7.125,2
4.162,1
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
0.1
β
0.1
snoitatnalP)iiv
0.028,1
5.454,1
5.563
7.475,3
2.501,3
5.964
2.854,3
7.889,2
5.964
7.436
4.916
2.51
gnisuoheraW
dna egarotS dooF)iiiv
3.121,2
8.703,1
5.318
0.072,2
5.674,1
5.397
7.969,1
2.671,1
5.397
9.478,1
5.050,1
4.428
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
0.349
7.976
3.362
5.201,1
4.156
1.154
6.990,1
5.846
1.154
7.81-
8.601-
1.88
noitarepo-oC)ix
7.59
7.57
0.02
7.97
7.95
0.02
7.97
7.95
0.02
4.26
2.74
2.51
semmargorP
larutlucirgA rehtO)iix
7.947,03
9.881,3
8.065,72
5.685,82
5.807,3
1.878,42
3.520,82
3.645,3
0.974,42
6.413,9
7.802,2
9.501,7
tnempoleveD laruR
.2
2.400,4
0.94
3.559,3
6.048,7
2.24
5.897,7
6.487,7
2.24
4.247,7
1.796,2
0.91
1.876,2
semmargorP
aerA laicepS
.3
5.843,8
5.843,8
β
1.983,8
1.983,8
β
1.982,8
1.982,8
β
0.878,5
0.878,5
β
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
9.812,1
9.812,1
β
8.302,1
8.302,1
β
8.302,1
8.302,1
β
4.727
4.727
β
noitagirrI
muideM dna rojaM
)i
0.971,4
0.971,4
β
0.823,4
0.823,4
β
0.823,4
0.823,4
β
7.639,2
7.639,2
β
noitagirrI roniM
)ii
6.059,2
6.059,2
β
3.758,2
3.758,2
β
3.757,2
3.757,2
β
8.312,2
8.312,2
β
eganiarD
dna lortnoC doolF
)iii
6.741,1
8.341,1
8.3
6.141,1
7.831,1
9.2
6.03
7.72
9.2
2.815,1
9.594,1
3.22
ygrenE
.5
2.931,1
2.931,1
β
0.531,1
0.531,1
β
0.42
0.42
β
4.415,1
2.394,1
2.12
rewoP :hcihw
fo
5.860,6
9.324,3
6.446,2
9.622,5
6.148,2
3.583,2
6.867,4
9.428,2
7.349,1
5.320,3
1.088,1
4.341,1
)iii ot
i( slareniM dna yrtsudnI
.6
0.404,4
7.542,2
3.851,2
4.722,4
9.601,2
5.021,2
4.887,3
6.190,2
8.696,1
9.933,2
5.834,1
5.109
seirtsudnI
llamS dna egalliV)i
5.466,1
2.871,1
3.684
5.999
7.437
8.462
2.089
3.337
9.642
5.386
6.144
9.142
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
174
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
MASSA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
9.815,51
5.085,11
4.839,3
3.931,61
0.972,21
3.068,3
0.756,31
0.578,01
0.287,2
1.017,01
2.784,01
0.322
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
9.226,31
0.788,9
9.537,3
6.253,41
4.706,01
2.547,3
6.559,11
0.272,9
6.386,2
1.943,9
9.861,9
2.081
segdirB dna sdaoR)i
0.698,1
5.396,1
5.202
7.687,1
7.176,1
0.511
4.107,1
0.306,1
4.89
0.163,1
3.813,1
7.24
@@ srehtO)ii
9.682
2.81
7.862
6.182
0.61
6.562
6.181
0.61
6.561
0.092
0.21
0.872
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
3.744,5
3.015,1
9.639,3
9.318,21
5.801,2
4.507,01
4.217,21
0.801,2
4.406,01
2.631,2
7.009
5.532,1
)vi
ot
i( secivreS
cimonocE lareneG
.9
9.738,3
4.227
5.511,3
2.730,11
9.352,1
3.387,9
2.639,01
9.352,1
3.286,9
0.695,1
3.324
7.271,1
secivreS
cimonocE
- tairaterceS)i
4.397
2.69
2.796
5.886
4.19
1.795
5.886
4.19
1.795
2.88
4.96
8.81
msiruoT)ii
8.9
8.9
β
2.8
2.8
β
2.8
2.8
β
9.4
9.4
β
seilppuS liviC)iii
1.608
9.186
2.421
9.970,1
0.557
0.523
5.970,1
5.457
0.523
0.744
0.304
0.44
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
5.728,251
7.804,151
8.814,1
2.272,031
1.486,321
0.885,6
7.194,221
3.850,611
4.334,6
8.348,801
0.228,401
8.120,4
)F ot A( )secivreS
lareneG(
6.539,5
6.539,5
β
1.350,5
1.300,5
0.05
8.436,4
8.485,4
0.05
3.344,3
3.193,3
0.25
etatS fo
snagrO
.A
1.388,4
1.148,4
0.24
0.936,4
3.462,4
7.473
9.095,4
1.612,4
7.473
6.258,2
6.948,2
0.3
)ii + i( secivreS
lacsiF
.B
2.168,4
2.918,4
0.24
9.516,4
2.142,4
7.473
8.765,4
0.391,4
7.473
0.638,2
0.338,2
0.3
seituD
dna sexaT fo noitcelloC)i
9.12
9.12
β
1.32
1.32
β
1.32
1.32
β
6.61
6.61
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
1.496,72
1.496,72
β
4.907,52
4.907,52
β
0.476,52
0.476,52
β
0.114,32
0.114,32
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
9.275,1
9.275,1
β
4.126,1
4.126,1
β
4.126,1
4.126,1
β
5.624,1
5.624,1
β
tbeD fo ecnadiovA
1.121,62
1.121,62
β
0.880,42
0.880,42
β
6.250,42
6.250,42
β
5.489,12
5.489,12
β
)vi
ot i( stnemyaP tseretnI
.2
1.852,1
1.852,1
β
4.471,1
4.471,1
β
4.471,1
4.471,1
β
7.922,1
7.922,1
β
ertneC
eht morf
snaoL no tseretnI)i
4.565,71
4.565,71
β
4.981,61
4.981,61
β
0.451,61
0.451,61
β
4.035,51
4.035,51
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
3.453,8
3.453,8
β
7.479,7
7.479,7
β
7.479,7
7.479,7
β
8.990,8
8.990,8
β
snaoL
tekraM
no tseretnI )a(
8.138,7
8.138,7
β
9.521,7
9.521,7
β
9.521,7
9.521,7
β
6.677,6
6.677,6
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
6.792,7
6.792,7
β
2.427,6
2.427,6
β
2.427,6
2.427,6
β
4.422,5
4.422,5
β
.cte
,sdnuF tnedivorP
β
β
β
β
β
β
β
β
β
β
β
β
srehtO)vi
7.401,25
9.727,05
8.673,1
0.686,25
7.225,64
3.361,6
4.759,94
7.849,34
7.800,6
6.354,63
8.684,23
8.669,3
)v ot
i( secivreS evitartsinimdA
.D
7.852,7
2.331,7
5.521
4.915,9
8.655,4
6.269,4
9.305,9
3.145,4
6.269,4
4.991,5
1.028,1
2.973,3
secivreS
lareneG - tairaterceS)i
2.527,1
2.527,1
β
0.995,1
0.995,1
β
5.684,1
5.684,1
β
0.712,1
0.712,1
β
noitartsinimdA tcirtsiD)ii
4.386,23
5.308,13
9.978
6.914,92
0.507,82
6.417
2.322,72
6.755,62
6.566
1.770,22
6.660,22
5.01
eciloP)iii
0.049,1
0.049,1
β
0.650,4
0.650,4
β
2.620,4
2.620,4
β
9.756,2
4.936,2
5.81
skroW cilbuP)vi
3.794,8
9.521,8
4.173
0.290,8
8.506,7
1.684
6.717,7
1.733,7
5.083
3.203,5
7.347,4
7.855
++ srehtO)v
7.941,26
7.941,26
β
0.140,73
0.140,73
β
0.190,53
0.190,53
β
3.146,24
3.146,24
β
snoisneP
.E
5.06
5.06
β
6.341,5
6.341,5
β
6.345,2
6.345,2
β
0.24
0.24
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
2.569,63
6.812,82
5.647,8
9.480,94
1.951,04
9.529,8
2.508,74
4.971,93
8.526,8
4.010,72
1.224,32
3.885,3
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
2.569,63
6.812,82
5.647,8
9.480,94
1.951,04
9.529,8
2.508,74
4.971,93
8.526,8
4.010,72
1.224,32
3.885,3
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
175
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
RAHIB
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.180,219
2.545,095
9.535,123
9.845,200,1
5.656,175
4.298,034
3.456,719
1.562,455
2.983,363
3.277,426
3.018,334
0.269,091
)III+II+I( ERUTIDNEPXE
LATOT
4.944,906
3.123,092
1.821,913
4.376,907
3.883,282
1.582,724
7.850,636
9.337,572
8.423,063
0.945,404
0.808,412
0.147,981
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
2.148,083
0.203,161
2.935,912
5.043,884
2.259,271
3.883,513
9.571,634
1.441,071
8.130,662
5.849,362
6.908,621
9.831,731
)21 ot 1( secivreS
laicoS
.A
4.766,112
2.330,211
2.436,99
0.218,052
0.956,521
0.351,521
8.098,932
6.326,521
2.762,411
4.534,341
1.075,88
3.568,45
erutluC dna
trA ,stropS ,noitacudE
.1
3.536,03
6.300,52
7.136,5
9.539,63
0.293,32
9.345,31
6.251,63
7.170,32
9.080,31
9.625,71
0.627,71
1.991-
htlaeH
cilbuP dna lacideM
.2
5.541,4
5.547
0.004,3
4.496,4
4.496
0.000,4
4.496,4
4.496
0.000,4
4.706,3
3.584
1.221,3
erafleW ylimaF
.3
3.235,8
9.383,4
4.841,4
0.254,9
0.251,4
0.003,5
2.263,6
2.218,3
0.055,2
5.659,6
7.954,3
8.694,3
noitatinaS
dna ylppuS retaW
.4
6.643,81
7.851
9.781,81
0.065,73
0.051
0.014,73
0.065,73
0.051
0.014,73
0.380,9
6.15
4.130,9
gnisuoH
.5
2.073,71
5.434,7
7.539,9
1.028,62
0.286,6
1.831,02
1.560,12
0.776,6
1.883,41
1.036,31
9.817,4
2.119,8
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
0.923,43
6.702,2
5.121,23
4.244,62
8.279,1
6.964,42
9.852,62
8.279,1
1.682,42
0.637,02
6.601,1
4.926,91
sessalC drawkcaB
7.303,2
9.181,1
8.121,1
0.669,2
6.930,1
4.629,1
3.113,2
9.430,1
4.672,1
3.111,1
8.048
5.072
erafleW
ruobaL dna ruobaL
.8
5.049,43
6.195,1
8.843,33
2.313,95
8.583,1
4.729,75
7.582,24
5.073,1
2.519,04
4.879,62
1.158
3.721,62
erafleW
dna ytiruceS laicoS
.9
1.575,01
β
1.575,01
8.401,42
β
8.401,42
8.242,31
β
8.242,31
5.852,21
β
5.852,21
noitirtuN
.01
7.113,5
8.118,4
8.994
3.187,6
6.092,6
7.094
1.637,4
4.542,4
7.094
8.420,8
4.009,7
4.421
seitimalaC
larutaN
fo tnuocca no feileR
.11
9.386,2
6.947,1
3.439
6.854,2
2.435,1
4.429
1.616,1
7.194,1
4.421
1.006
1.990,1
9.894-
*srehtO
.21
1.806,822
3.910,921
8.885,99
9.233,122
1.634,901
8.698,111
7.288,991
8.985,501
9.292,49
5.006,041
3.899,78
2.206,25
)9 ot 1( secivreS cimonocE
.B
3.579,93
3.037,9
1.542,03
5.357,35
7.488,8
8.868,44
3.221,04
2.827,8
1.493,13
7.239,13
6.589,6
1.749,42
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
9.966,91
4.359,2
4.617,61
6.538,13
6.917,2
0.611,92
6.652,42
6.996,2
1.755,12
8.238,61
0.226,1
8.012,51
yrdnabsuH porC)i
5.415
5.46
0.054
1.052,1
8.85
3.191,1
6.924
8.85
8.073
7.16
9.74
8.31
noitavresnoC
retaW dna lioS)ii
3.700,3
0.390,2
4.419
3.655,3
1.099,1
2.665,1
4.513,3
5.279,1
9.243,1
1.437,2
6.407,1
5.920,1
yrdnabsuH laminA)iii
9.811,1
9.89
0.020,1
4.885,1
5.49
9.394,1
1.460,1
1.49
0.079
7.794
4.97
3.814
tnempoleveD yriaD)vi
8.580,1
0.862
8.718
3.190,1
2.342
0.848
2.398
2.342
0.056
7.611
8.171
1.55-
seirehsiF)v
0.652,2
0.111,1
0.541,1
5.861,3
1.079
4.891,2
8.000,2
1.769
7.330,1
9.492,2
6.539
3.953,1
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
9.961,2
β
9.961,2
1.664
β
1.664
7.972
β
7.972
0.866,2
β
0.866,2
gnisuoheraW
dna egarotS dooF)iiiv
2.186,6
2.171,2
0.015,4
1.747,7
9.099,1
3.657,5
5.307,5
9.099,1
7.217,3
5.683,4
6.928,1
9.655,2
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
9.714,3
2.619
6.105,2
4.479,2
8.577
6.891,2
0.601,2
3.066
7.544,1
0.672,2
0.265
1.417,1
noitarepo-oC)ix
0.45
0.45
β
6.57
7.14
9.33
2.37
7.14
5.13
3.46
8.23
5.13
semmargorP
larutlucirgA rehtO)iix
7.097,77
4.598,93
3.598,73
0.838,57
5.171,23
5.666,34
4.483,47
5.171,23
9.212,24
8.795,04
8.177,32
0.628,61
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
aerA laicepS
.3
2.452,51
9.383,31
3.078,1
6.048,41
8.196,21
8.841,2
6.095,41
8.196,21
8.898,1
3.093,01
2.120,9
1.963,1
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
8.680,5
8.680,5
β
7.175,4
7.175,4
β
7.175,4
7.175,4
β
5.258,3
3.748,3
2.5
noitagirrI
muideM dna rojaM
)i
5.828,6
9.097,5
6.730,1
4.864,6
6.975,5
8.888
4.864,6
6.975,5
8.888
4.493,3
7.898,2
7.594
noitagirrI roniM
)ii
5.125,2
3.605,2
2.51
5.055,2
5.045,2
0.01
5.055,2
5.045,2
0.01
2.503,2
2.572,2
0.03
eganiarD
dna lortnoC doolF
)iii
7.419,24
7.413,24
0.006
1.418,03
1.416,03
0.002
1.417,03
1.416,03
0.001
4.753,23
4.758,13
0.005
ygrenE
.5
3.422,24
3.422,24
β
7.825,03
7.825,03
β
7.825,03
7.825,03
β
5.028,13
5.028,13
β
rewoP :hcihw
fo
6.138,9
9.049
7.098,8
5.735,11
4.060,1
1.774,01
9.067,9
6.950,1
3.107,8
4.208,5
5.276
0.031,5
)iii ot
i( slareniM dna yrtsudnI
.6
6.695,1
7.524
9.071,1
3.831,2
0.525
2.316,1
7.201,2
0.525
6.775,1
3.964
6.723
7.141
seirtsudnI
llamS dna egalliV)i
0.532,8
2.515
8.917,7
2.993,9
3.535
9.368,8
2.856,7
5.435
7.321,7
2.333,5
9.443
3.889,4
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
176
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
RAHIB
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
6.634,02
3.814,02
3.81
0.341,12
4.470,12
6.86
4.975,71
8.515,71
6.36
5.808,31
0.577,31
5.33
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
1.863,02
8.553,02
3.21
9.650,12
3.800,12
6.84
3.394,71
7.944,71
6.34
0.157,31
5.737,31
5.31
segdirB dna sdaoR)i
5.86
5.26
0.6
1.68
1.66
0.02
1.68
1.66
0.02
5.75
5.73
0.02
@@ srehtO)ii
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
9.404,22
7.533,2
2.960,02
2.604,31
2.939,2
0.764,01
9.037,21
7.808,2
2.229,9
4.117,5
9.419,1
5.697,3
)vi
ot
i( secivreS
cimonocE lareneG
.9
3.620,1
3.658
0.071
0.069
0.028
0.041
9.609
9.667
0.041
5.816
8.206
8.51
secivreS
cimonocE
- tairaterceS)i
0.042
0.061
0.08
2.802
2.801
0.001
6.311
6.36
0.05
7.441
7.29
0.25
msiruoT)ii
0.672,91
2.608
7.964,81
8.431,8
7.814,1
1.617,6
7.909,7
1.683,1
6.325,6
6.369,3
3.788
2.670,3
seilppuS liviC)iii
6.268,1
2.315
4.943,1
1.301,4
3.295
8.015,3
7.008,3
1.295
6.802,3
6.489
1.233
4.256
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
3.685,203
6.871,003
8.704,2
3.438,292
9.622,982
4.706,3
4.455,182
0.094,872
4.460,3
7.481,022
7.369,812
0.122,1
)F ot A( )secivreS
lareneG(
6.823,31
6.852,31
0.07
4.230,31
6.509,21
8.621
9.816,21
1.294,21
8.621
7.286,7
3.246,7
4.04
etatS fo
snagrO
.A
7.420,01
9.823,9
7.596
3.068,9
5.540,9
8.418
7.518,9
9.038,8
8.489
6.257,6
8.842,6
8.305
)ii + i( secivreS
lacsiF
.B
4.008,9
7.401,9
7.596
3.528,9
5.010,9
8.418
7.087,9
9.597,8
8.489
8.617,6
0.312,6
8.305
seituD
dna sexaT fo noitcelloC)i
3.422
3.422
β
0.53
0.53
β
0.53
0.53
β
8.53
8.53
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
3.621,77
3.621,77
β
7.706,57
7.706,57
β
7.411,07
7.411,07
β
2.359,85
2.359,85
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
6.819,4
6.819,4
β
6.257,9
6.257,9
β
1.003,4
1.003,4
β
7.263,4
7.263,4
β
tbeD fo ecnadiovA
7.702,27
7.702,27
β
1.558,56
1.558,56
β
6.418,56
6.418,56
β
4.095,45
4.095,45
β
)vi
ot i( stnemyaP tseretnI
.2
5.978,3
5.978,3
β
3.830,4
3.830,4
β
3.276,3
3.276,3
β
1.343,4
1.343,4
β
ertneC
eht morf
snaoL no tseretnI)i
4.964,85
4.964,85
β
9.907,15
9.907,15
β
4.630,25
4.630,25
β
2.752,24
2.752,24
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
7.932,43
7.932,43
β
8.155,82
8.155,82
β
0.690,92
0.690,92
β
1.018,02
1.018,02
β
snaoL
tekraM
no tseretnI )a(
2.807,91
2.807,91
β
4.460,91
4.460,91
β
3.788,81
3.788,81
β
8.584,91
8.584,91
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
0.487,9
0.487,9
β
5.230,01
5.230,01
β
5.230,01
5.230,01
β
0.009,7
0.009,7
β
.cte
,sdnuF tnedivorP
8.47
8.47
β
4.47
4.47
β
4.37
4.37
β
2.09
2.09
β
srehtO)vi
1.013,27
1.866,07
1.246,1
5.966,77
7.300,57
7.566,2
8.143,27
0.983,07
8.259,1
0.979,15
2.203,15
8.676
)v ot
i( secivreS evitartsinimdA
.D
9.172,2
8.968,1
1.204
4.253,2
4.257,1
0.006
3.827,1
5.666,1
8.16
9.333,1
9.841,1
0.581
secivreS
lareneG - tairaterceS)i
8.482,5
8.461,5
0.021
9.522,5
9.058,4
0.573
3.202,5
3.728,4
0.573
3.525,3
9.533,3
4.981
noitartsinimdA tcirtsiD)ii
3.109,05
3.106,05
0.003
5.685,45
5.682,45
0.003
5.430,15
5.437,05
0.003
6.640,83
7.158,73
0.591
eciloP)iii
7.484,5
7.454,5
0.03
0.339,4
4.828,4
6.401
5.818,4
5.297,4
0.62
7.858,3
0.828,3
7.03
skroW cilbuP)vi
4.763,8
4.775,7
0.097
7.175,01
5.582,9
2.682,1
2.855,9
2.863,8
0.091,1
4.412,5
7.731,5
8.67
++ srehtO)v
7.697,921
7.697,921
β
5.466,611
5.466,611
β
3.366,611
3.366,611
β
3.718,49
3.718,49
β
snoisneP
.E
β
β
β
β
β
β
β
β
β
β
β
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
3.54
3.54
β
2.14
2.14
β
2.14
2.14
β
5.83
5.83
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
3.54
3.54
β
2.14
2.14
β
2.14
2.14
β
5.83
5.83
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
177
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
HRAGSITTAHHC
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.892,735
5.699,452
7.103,282
3.456,664
7.491,791
6.954,962
8.709,164
0.156,391
8.652,862
7.595,823
6.754,291
2.831,631
)III+II+I( ERUTIDNEPXE
LATOT
4.314,024
9.113,931
5.101,182
3.839,863
3.263,001
0.675,862
2.407,663
0.342,99
2.164,762
3.083,042
1.120,501
3.953,531
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
2.658,212
6.646,16
6.902,151
1.275,881
1.834,45
9.331,431
7.515,781
6.094,35
2.520,431
0.128,241
1.398,64
0.829,59
)21 ot 1( secivreS
laicoS
.A
3.012,021
8.790,93
5.211,18
2.158,901
0.796,43
2.451,57
2.017,701
4.983,43
7.023,37
6.454,86
9.897,62
6.556,14
erutluC dna
trA ,stropS ,noitacudE
.1
6.742,72
1.310,7
5.432,02
0.343,42
7.231,6
3.012,81
8.353,42
7.580,6
1.862,81
5.157,21
0.499,4
5.757,7
htlaeH
cilbuP dna lacideM
.2
2.480,2
5.1
7.280,2
6.889,1
5.1
1.789,1
6.889,1
5.1
1.789,1
2.435,1
β
2.435,1
erafleW ylimaF
.3
4.582,9
4.730,2
0.842,7
9.201,7
9.308,1
0.992,5
3.242,7
2.157,1
1.194,5
6.179,3
3.064,1
3.115,2
noitatinaS
dna ylppuS retaW
.4
0.887,6
5.929
5.858,5
1.391,6
5.368
6.923,5
1.385,5
4.928
6.357,4
5.871,2
8.643
7.138,1
gnisuoH
.5
7.693,9
7.169,1
0.534,7
2.349,8
7.535,2
5.704,6
4.985,01
4.746,1
0.249,8
0.791,8
0.323,1
9.378,6
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
0.234,2
2.895
8.338,1
4.785,2
4.744
0.041,2
7.334,2
9.474
9.859,1
3.841,7
6.144,3
7.607,3
sessalC drawkcaB
9.173,5
9.379
0.893,4
7.838,2
0.178
8.769,1
4.782,2
8.249
7.443,1
8.704,1
1.336
7.477
erafleW
ruobaL dna ruobaL
.8
8.783,91
4.934,5
4.849,31
5.065,51
4.690,4
1.464,11
8.094,61
6.504,4
3.580,21
9.788,82
5.531,3
4.257,52
erafleW
dna ytiruceS laicoS
.9
2.859,6
β
2.859,6
9.780,6
β
9.780,6
8.397,5
β
8.397,5
4.628,4
β
4.628,4
noitirtuN
.01
0.807,2
0.807,2
β
3.731,2
3.731,2
β
3.931,2
3.931,2
β
5.126,2
1.189,3
5.953,1-
seitimalaC
larutaN
fo tnuocca no feileR
.11
2.689
2.688
0.001
2.839
7.158
5.68
4.309
4.328
0.08
8.148
7.877
0.36
*srehtO
.21
2.755,702
3.566,77
8.198,921
2.663,081
2.429,54
0.244,431
5.881,971
4.257,54
1.634,331
3.955,79
0.821,85
3.134,93
)9 ot 1( secivreS cimonocE
.B
7.198,411
0.125,54
7.073,96
4.957,39
7.115,71
7.742,67
3.877,001
0.647,71
3.230,38
6.125,15
2.788,33
3.436,71
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
8.536,41
3.652,3
5.973,11
2.574,83
0.129,2
2.455,53
6.957,83
3.919,2
3.048,53
5.491,7
3.536,2
2.955,4
yrdnabsuH porC)i
4.953
0.823
4.13
6.143
1.213
5.92
6.143
1.213
5.92
1.942
1.512
1.43
noitavresnoC
retaW dna lioS)ii
4.698,3
9.936,2
5.652,1
6.138,3
3.964,2
3.263,1
8.326,3
0.633,2
8.782,1
6.174,2
8.428,1
9.646
yrdnabsuH laminA)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD)vi
5.957
0.392
5.664
8.747
7.062
1.784
1.117
5.872
6.234
6.645
9.622
7.913
seirehsiF)v
6.051,21
9.608,6
7.343,5
4.281,11
2.701,6
2.570,5
4.889,01
0.923,6
4.956,4
5.438,9
9.643,5
6.784,4
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
8.567,97
7.188,03
0.488,84
2.712,63
3.103,4
0.619,13
4.513,34
2.803,4
3.700,93
0.163,82
7.657,22
3.406,5
gnisuoheraW
dna egarotS dooF)iiiv
0.252,1
0.288
0.073
2.030,1
2.067
0.072
8.030,1
8.067
0.072
5.938
6.565
9.372
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
2.277,1
1.334
1.933,1
4.386,1
0.083
4.303,1
5.757,1
1.205
5.552,1
8.588,1
0.613
8.965,1
noitarepo-oC)ix
0.003
β
0.003
0.052
β
0.052
0.052
β
0.052
8.831
β
8.831
semmargorP
larutlucirgA rehtO)iix
3.418,44
1.804,21
2.604,23
7.257,35
5.593,11
2.753,24
6.452,15
2.873,11
5.678,93
0.009,02
6.002,9
4.996,11
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
aerA laicepS
.3
2.596,3
4.441,3
8.055
1.733,3
0.767,2
1.075
0.093,3
0.718,2
0.375
3.361,4
8.802,2
5.459,1
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
0.196,2
0.196,2
β
6.873,2
6.873,2
β
0.844,2
0.844,2
β
0.173,3
8.299,1
1.873,1
noitagirrI
muideM dna rojaM
)i
9.739
4.924
5.805
9.698
4.883
5.805
5.358
0.543
5.805
9.047
0.612
9.425
noitagirrI roniM
)ii
0.42
0.42
β
β
β
β
0.42
0.42
β
β
β
β
eganiarD
dna lortnoC doolF
)iii
4.662,12
β
4.662,12
6.397,9
β
6.397,9
6.351,5
β
6.351,5
6.459,4
β
6.459,4
ygrenE
.5
0.096,02
β
0.096,02
0.053,9
β
0.053,9
0.017,4
β
0.017,4
0.058,4
β
0.058,4
rewoP :hcihw
fo
2.260,8
1.905,3
1.355,4
8.367,6
6.945,3
2.412,3
3.548,6
1.249,3
3.309,2
7.476,4
3.764,2
4.702,2
)iii ot
i( slareniM dna yrtsudnI
.6
0.558,1
5.038
5.420,1
8.226,1
1.527
7.798
4.956,1
6.657
7.209
0.853,1
9.406
1.357
seirtsudnI
llamS dna egalliV)i
2.551,6
6.626,2
5.825,3
0.980,5
5.277,2
5.613,2
0.331,5
4.231,3
5.000,2
6.313,3
4.958,1
3.454,1
@seirtsudnI)ii
0.25
0.25
β
0.25
0.25
β
0.35
0.35
β
0.3
0.3
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
178
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
HRAGSITTAHHC
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.194,31
3.126,21
8.968
2.146,11
2.181,01
0.064,1
5.905,01
3.673,9
2.331,1
9.943,01
9.978,9
1.074
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
5.346,21
9.026,21
6.22
3.102,01
9.081,01
5.02
0.683,9
0.673,9
0.01
9.988,9
9.978,9
0.01
segdirB dna sdaoR)i
6.748
3.0
3.748
9.934,1
3.0
5.934,1
5.321,1
3.0
2.321,1
1.064
β
1.064
@@ srehtO)ii
5.251
0.52
5.721
3.131
3.32
0.801
0.821
0.02
0.801
4.111
0.02
4.19
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
8.381,1
5.634
3.747
1.781,1
9.594
2.196
1.921,1
8.274
3.656
9.388
3.464
6.914
)vi
ot
i( secivreS
cimonocE lareneG
.9
7.971
3.551
4.42
3.361
9.741
4.51
6.261
1.741
4.51
9.89
7.59
2.3
secivreS
cimonocE
- tairaterceS)i
6.395
β
6.395
5.264
β
5.264
5.234
β
5.234
2.004
β
2.004
msiruoT)ii
β
β
β
β
β
β
β
β
β
β
β
β
seilppuS liviC)iii
5.014
2.182
3.921
3.165
0.843
3.312
1.435
7.523
3.802
7.483
5.863
2.61
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
9.602,601
8.600,501
2.002,1
7.929,78
0.640,78
6.388
6.693,58
1.106,48
6.597
5.115,87
6.237,77
9.877
)F ot A( )secivreS
lareneG(
9.287,3
8.107,3
1.18
1.248,4
1.696,4
0.641
1.967,4
1.326,4
0.641
2.439,2
3.658,2
9.77
etatS fo
snagrO
.A
5.385,9
7.888,8
9.496
4.789,7
4.116,7
0.673
5.429,7
4.265,7
0.263
3.374,6
8.763,6
5.501
)ii + i( secivreS
lacsiF
.B
2.175,9
3.678,8
9.496
7.579,7
6.995,7
0.673
8.219,7
7.055,7
0.263
6.664,6
1.163,6
5.501
seituD
dna sexaT fo noitcelloC)i
4.21
4.21
β
7.11
7.11
β
7.11
7.11
β
7.6
7.6
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
0.318,22
0.318,22
β
8.746,91
8.746,91
β
0.222,91
0.222,91
β
3.505,41
3.505,41
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
0.000,2
0.000,2
β
0.000,1
0.000,1
β
0.000,1
0.000,1
β
0.000,1
0.000,1
β
tbeD fo ecnadiovA
0.318,02
0.318,02
β
8.746,81
8.746,81
β
0.222,81
0.222,81
β
3.505,31
3.505,31
β
)vi
ot i( stnemyaP tseretnI
.2
1.835,1
1.835,1
β
0.876,1
0.876,1
β
0.877,1
0.877,1
β
5.566,1
5.566,1
β
ertneC
eht morf
snaoL no tseretnI)i
3.295,51
3.295,51
β
1.782,31
1.782,31
β
3.167,21
3.167,21
β
7.894,8
7.894,8
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
1.618,8
1.618,8
β
4.546,6
4.546,6
β
0.292,6
0.292,6
β
4.160,3
4.160,3
β
snaoL
tekraM
no tseretnI )a(
0.004,5
0.004,5
β
7.404,5
7.404,5
β
7.404,5
7.404,5
β
8.918,4
8.918,4
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
0.018,2
0.018,2
β
0.018,2
0.018,2
β
0.018,2
0.018,2
β
9.106,2
9.106,2
β
.cte
,sdnuF tnedivorP
7.278
7.278
β
7.278
7.278
β
7.278
7.278
β
2.937
2.937
β
srehtO)vi
6.712,23
4.397,13
2.424
4.851,03
8.697,92
6.163
1.724,82
6.931,82
5.782
3.870,72
8.284,62
5.595
)v ot
i( secivreS evitartsinimdA
.D
8.739
6.539
2.2
4.559
3.359
1.2
7.479
3.279
4.2
0.207
3.107
7.0
secivreS
lareneG - tairaterceS)i
2.802,2
2.802,2
β
0.980,2
0.980,2
β
3.040,2
3.040,2
β
1.866,1
1.866,1
β
noitartsinimdA tcirtsiD)ii
5.398,32
2.894,32
3.593
6.034,22
4.001,22
2.033
4.477,02
1.415,02
3.062
4.766,91
3.723,91
1.043
eciloP)iii
7.833,1
2.723,1
5.11
8.821,1
4.711,1
4.11
1.750,1
7.540,1
4.11
9.764,2
4.812,2
4.942
skroW cilbuP)vi
5.938,3
2.428,3
3.51
6.455,3
7.635,3
9.71
5.085,3
1.765,3
5.31
0.375,2
7.765,2
2.5
++ srehtO)v
4.608,73
4.608,73
β
6.192,52
6.192,52
β
6.150,52
6.150,52
β
7.815,72
7.815,72
β
snoisneP
.E
4.3
4.3
β
4.2
4.2
β
4.2
4.2
β
7.1
7.1
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
8.776,01
8.776,01
β
4.687,9
4.687,9
β
0.708,9
0.708,9
β
9.307,9
9.307,9
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
8.776,01
8.776,01
β
4.687,9
4.687,9
β
0.708,9
0.708,9
β
9.307,9
9.307,9
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
179
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
AOG
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.092,59
8.237,46
3.755,03
6.935,97
5.772,55
1.262,42
7.499,08
7.665,55
0.824,52
8.230,86
4.808,05
4.422,71
)III+II+I( ERUTIDNEPXE
LATOT
8.796,86
1.387,83
7.419,92
8.948,65
5.910,33
3.038,32
6.111,85
5.621,33
1.589,42
3.372,74
6.933,03
7.339,61
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
6.742,73
8.918,81
8.724,81
1.684,03
8.099,51
3.594,41
4.714,13
4.000,61
9.614,51
6.143,62
8.237,41
7.806,11
)21 ot 1( secivreS
laicoS
.A
3.428,51
7.399,01
7.038,4
7.623,21
9.769,8
8.853,3
5.939,21
2.379,8
3.669,3
7.602,21
8.645,8
8.956,3
erutluC dna
trA ,stropS ,noitacudE
.1
4.133,6
9.599,3
4.533,2
3.020,5
6.132,3
7.887,1
2.830,5
3.532,3
9.208,1
9.443,4
1.319,2
8.134,1
htlaeH
cilbuP dna lacideM
.2
0.051
β
0.051
0.021
β
0.021
0.021
β
0.021
1.601
β
1.601
erafleW ylimaF
.3
5.919,2
6.185,2
0.833
8.446,2
6.643,2
2.892
8.446,2
6.643,2
2.892
4.744,2
6.902,2
8.732
noitatinaS
dna ylppuS retaW
.4
0.341
0.341
β
0.031
0.031
β
0.031
0.031
β
5.611
5.611
β
gnisuoH
.5
8.253,2
9.061
9.191,2
2.399,1
5.661
7.628,1
2.342,2
5.661
7.670,2
7.506
0.511
8.094
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
0.882,1
0.7
0.182,1
1.672,1
0.7
1.962,1
1.672,1
0.7
1.962,1
1.716
3.6
9.016
sessalC drawkcaB
8.176
0.843
8.323
3.685
4.892
9.782
3.685
4.892
9.782
7.693
4.132
3.561
erafleW
ruobaL dna ruobaL
.8
1.708,6
3.664
9.043,6
1.826,5
2.146
8.689,4
6.876,5
8.146
8.630,5
6.471,5
0.844
6.627,4
erafleW
dna ytiruceS laicoS
.9
4.061
β
4.061
4.081
0.96
4.111
4.081
0.96
4.111
2.59
6.84
5.64
noitirtuN
.01
3.142
3.14
0.002
0.952
0.95
0.002
0.952
0.95
0.002
2.34
2.34
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
0.853
3.28
7.572
2.123
6.37
6.742
2.123
6.37
6.742
4.781
3.45
1.331
*srehtO
.21
2.054,13
3.369,91
9.684,11
7.363,62
7.820,71
0.533,9
2.496,62
0.621,71
2.865,9
8.139,02
8.606,51
0.523,5
)9 ot 1( secivreS cimonocE
.B
5.081,4
7.229
7.752,3
4.525,3
1.967
3.657,2
7.887,3
7.308
0.589,2
3.785,2
0.996
2.888,1
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
0.566,1
3.112
7.354,1
1.374,1
4.102
7.172,1
1.374,1
4.102
7.172,1
1.401,1
7.861
3.539
yrdnabsuH porC)i
9.03
8.61
1.41
0.82
2.51
8.21
0.82
2.51
8.21
9.02
9.11
0.9
noitavresnoC
retaW dna lioS)ii
6.184
5.522
1.652
4.813
8.371
6.441
5.993
8.371
7.522
4.032
1.061
2.07
yrdnabsuH laminA)iii
3.696
0.5
3.196
6.535
0.3
6.235
4.056
0.3
4.746
4.672
5.2
0.472
tnempoleveD yriaD)vi
5.094
1.17
4.914
0.654
1.36
9.293
0.654
1.36
9.293
7.263
8.25
9.903
seirehsiF)v
1.105
4.132
8.962
0.674
5.302
5.272
0.674
5.302
5.272
3.044
3.302
0.732
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
5.07
0.04
4.03
7.05
3.02
4.03
5.66
0.63
4.03
0.22
0.12
9.0
gnisuoheraW
dna egarotS dooF)iiiv
2.33
9.81
3.41
9.93
6.51
3.42
9.93
6.51
3.42
8.91
9.31
9.5
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
0.491
5.58
6.801
0.731
5.26
5.47
1.381
9.57
3.701
5.001
4.45
1.64
noitarepo-oC)ix
4.71
2.71
2.0
6.01
6.01
β
2.61
2.61
β
4.01
4.01
β
semmargorP
larutlucirgA rehtO)iix
1.417,1
9.746
2.660,1
8.553,1
6.295
2.367
8.553,1
6.295
2.367
4.349
3.983
1.455
tnempoleveD laruR
.2
0.021
β
0.021
6.701
β
6.701
6.701
β
6.701
8.55
β
8.55
semmargorP
aerA laicepS
.3
5.156,1
4.788
1.467
5.750,1
3.117
1.643
5.750,1
3.117
1.643
0.319
6.956
4.352
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
6.998
1.804
5.194
5.934
4.423
2.511
5.934
4.423
2.511
5.843
2.942
3.99
noitagirrI
muideM dna rojaM
)i
5.364
1.673
4.78
8.463
1.603
7.85
8.463
1.603
7.85
2.643
7.803
5.73
noitagirrI roniM
)ii
0.771
0.29
0.58
0.851
0.17
0.78
0.851
0.17
0.78
4.641
9.39
5.25
eganiarD
dna lortnoC doolF
)iii
7.826,41
0.281,41
7.644
9.726,21
2.332,21
7.493
9.726,21
2.332,21
7.493
3.087,11
9.744,11
4.233
ygrenE
.5
6.906,41
9.181,41
7.724
9.806,21
2.332,21
7.573
9.806,21
2.332,21
7.573
8.977,11
9.744,11
9.133
rewoP :hcihw
fo
9.689,2
6.402
2.287,2
0.641,3
6.601
4.930,3
1.771,3
2.331
9.340,3
4.364,1
0.38
4.083,1
)iii ot
i( slareniM dna yrtsudnI
.6
2.779
1.321
0.458
8.429
2.57
6.948
8.429
2.57
6.948
1.062
5.85
6.102
seirtsudnI
llamS dna egalliV)i
7.459,1
5.18
2.378,1
2.661,2
4.13
8.431,2
3.791,2
0.85
3.931,2
1.381,1
5.42
6.851,1
@seirtsudnI)ii
0.55
β
0.55
0.55
β
0.55
0.55
β
0.55
2.02
β
2.02
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
180
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
AOG
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
9.827,3
7.867,2
3.069
5.042,3
6.563,2
9.478
5.042,3
6.563,2
9.478
0.994,2
4.611,2
5.283
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
7.375,1
6.275,1
1.1
6.785,1
6.685,1
0.1
6.785,1
6.685,1
0.1
5.183,1
5.183,1
β
segdirB dna sdaoR)i
2.551,2
1.691,1
2.959
9.256,1
0.977
9.378
9.256,1
0.977
9.378
5.711,1
9.437
5.283
@@ srehtO)ii
1.541
β
1.541
3.09
β
3.09
3.09
β
3.09
4.14
4.0-
8.14
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
4.492,2
0.053
4.449,1
7.212,1
3.052
4.269
9.842,1
5.682
4.269
2.846
9.112
3.634
)vi
ot
i( secivreS
cimonocE lareneG
.9
2.772
2.77
0.002
5.661
5.66
0.001
5.661
5.66
0.001
5.65
6.45
0.2
secivreS
cimonocE
- tairaterceS)i
4.726,1
8.111
6.515,1
9.146
6.47
3.765
9.146
6.47
3.765
0.354
3.16
7.193
msiruoT)ii
4.471
8.35
6.021
2.621
6.04
6.58
4.531
8.94
6.58
4.73
0.73
4.0
seilppuS liviC)iii
3.512
1.701
2.801
1.872
6.86
5.902
0.503
5.59
5.902
3.101
0.95
3.24
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
4.295,62
7.949,52
6.246
8.986,22
0.852,22
8.134
1.388,22
2.044,22
9.244
5.957,02
8.864,02
8.092
)F ot A( )secivreS
lareneG(
5.540,1
8.400,1
7.04
2.320,1
3.299
9.03
7.230,1
8.100,1
9.03
7.127
4.107
4.02
etatS fo
snagrO
.A
0.527
8.046
1.48
8.855
4.205
3.65
2.046
8.275
4.76
5.554
0.024
6.53
)ii + i( secivreS
lacsiF
.B
7.327
6.936
1.48
5.755
2.105
3.65
0.936
6.175
4.76
5.554
0.024
6.53
seituD
dna sexaT fo noitcelloC)i
3.1
3.1
β
3.1
3.1
β
3.1
3.1
β
β
β
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
0.260,11
0.260,11
β
6.510,01
6.510,01
β
6.510,01
6.510,01
β
7.602,9
7.602,9
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
0.003
0.003
β
0.003
0.003
β
0.003
0.003
β
0.003
0.003
β
tbeD fo ecnadiovA
0.267,01
0.267,01
β
6.517,9
6.517,9
β
6.517,9
6.517,9
β
7.609,8
7.609,8
β
)vi
ot i( stnemyaP tseretnI
.2
3.303
3.303
β
3.303
3.303
β
3.303
3.303
β
0.822
0.822
β
ertneC
eht morf
snaoL no tseretnI)i
3.822,8
3.822,8
β
4.105,7
4.105,7
β
4.105,7
4.105,7
β
6.365,6
6.365,6
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
4.507,4
4.507,4
β
6.879,3
6.879,3
β
6.879,3
6.879,3
β
6.252,3
6.252,3
β
snaoL
tekraM
no tseretnI )a(
0.499,2
0.499,2
β
0.499,2
0.499,2
β
0.499,2
0.499,2
β
0.029,2
0.029,2
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
6.635,1
6.635,1
β
0.632,1
0.632,1
β
0.632,1
0.632,1
β
2.204,1
2.204,1
β
.cte
,sdnuF tnedivorP
8.396
8.396
β
9.476
9.476
β
9.476
9.476
β
9.217
9.217
β
srehtO)vi
5.786,6
8.953,6
7.723
9.094,5
5.291,5
5.892
8.775,5
3.972,5
5.892
4.275,4
0.604,4
4.661
)v ot
i( secivreS evitartsinimdA
.D
5.644
5.514
0.13
2.763
2.633
0.13
2.763
2.633
0.13
2.923
8.992
4.92
secivreS
lareneG - tairaterceS)i
1.814
1.814
β
8.953
8.953
β
8.953
8.953
β
2.323
2.323
β
noitartsinimdA tcirtsiD)ii
0.675,3
0.275,3
0.4
3.118,2
3.908,2
0.2
3.118,2
3.908,2
0.2
1.304,2
1.304,2
β
eciloP)iii
9.510,1
2.779
8.83
7.939
2.609
6.33
7.939
2.609
6.33
7.487
0.957
7.52
skroW cilbuP)vi
0.132,1
1.779
0.452
9.210,1
0.187
9.132
8.990,1
8.768
9.132
2.237
9.026
3.111
++ srehtO)v
7.395,6
7.395,6
β
0.163,5
0.163,5
β
0.163,5
0.163,5
β
0.056,5
0.056,5
β
snoisneP
.E
6.874
5.882
1.091
2.042
1.491
1.64
7.552
6.902
1.64
3.351
8.48
4.86
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
5.52
5.52
β
0.01
0.01
β
5.52
5.52
β
1.4
1.4
β
seirettoL
etatS fo tnuocca no
tnemyaP
β
β
β
β
β
β
β
β
β
β
β
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
181
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
TARAJUG
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
8.668,910,1
9.213,656
9.355,363
9.879,529
2.233,516
7.646,013
8.561,269
8.490,716
0.170,543
5.585,257
2.320,355
3.265,991
)III+II+I( ERUTIDNEPXE
LATOT
8.983,556
6.509,113
2.484,343
8.137,116
1.418,513
8.719,592
4.824,226
7.149,492
7.684,723
0.521,184
4.727,092
7.793,091
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
3.741,924
1.117,802
2.634,022
1.808,493
8.688,102
4.129,291
6.731,514
3.377,791
3.463,712
8.718,323
8.967,102
1.840,221
)21 ot 1( secivreS
laicoS
.A
6.843,381
8.102,741
8.641,63
3.832,861
8.544,041
5.297,72
7.152,671
5.387,731
2.864,83
6.968,441
3.526,721
3.442,71
erutluC dna
trA ,stropS ,noitacudE
.1
6.694,74
0.521,61
6.173,13
5.157,24
0.887,61
5.369,52
7.223,24
5.154,51
1.178,62
3.297,82
5.683,41
8.504,41
htlaeH
cilbuP dna lacideM
.2
4.241,8
5.61
9.521,8
6.865,7
9.61
7.155,7
8.410,8
9.61
8.799,7
6.567,5
8.061,3
8.406,2
erafleW ylimaF
.3
3.138,5
1.421,1
2.707,4
9.074,2
4.101,1
5.963,1
9.719,1
4.490,1
5.328
3.509,1
4.441,1
9.067
noitatinaS
dna ylppuS retaW
.4
8.663,12
1.107,1
7.566,91
9.154,12
5.019,1
4.145,91
5.712,32
5.296,1
1.525,12
2.570,12
9.954,1
3.516,91
gnisuoH
.5
2.538,57
8.560,82
4.967,74
4.927,47
1.449,72
3.587,64
6.322,08
6.428,72
0.993,25
6.980,85
7.142,52
0.848,23
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
5.126,82
1.862,2
4.353,62
9.058,52
8.632,2
1.416,32
4.959,52
5.502,2
9.357,32
7.209,02
6.180,5
1.128,51
sessalC drawkcaB
7.316,01
6.128,2
1.297,7
2.772,9
1.537,2
1.245,6
3.929,9
3.237,2
0.791,7
1.939,4
4.254,2
7.684,2
erafleW
ruobaL dna ruobaL
.8
0.377,8
5.624,1
4.643,7
0.219,7
8.593,1
2.615,6
6.801,8
5.905,1
1.995,6
4.013,6
0.213,1
3.899,4
erafleW
dna ytiruceS laicoS
.9
9.282,03
2.95
7.322,03
4.732,62
3.83
2.991,62
3.908,03
7.821
6.086,03
1.802,32
6.301,31
5.401,01
noitirtuN
.01
2.319,6
2.319,6
β
8.924,6
8.924,6
β
3.753,6
3.753,6
β
2.499,5
2.499,5
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
2.229,1
1.889
1.439
1.098,1
2.448
9.540,1
5.520,2
5.679
0.940,1
8.569,1
5.708
3.851,1
*srehtO
.21
5.242,622
5.491,301
0.840,321
7.329,612
3.729,311
4.699,201
8.092,702
4.861,79
4.221,011
2.703,751
6.759,88
6.943,86
)9 ot 1( secivreS cimonocE
.B
4.635,05
1.150,21
2.584,83
5.069,84
6.350,31
9.609,53
6.124,74
3.634,11
3.589,53
0.975,93
1.866,11
9.019,72
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
3.768,32
3.247,1
0.521,22
7.380,12
4.618,1
3.762,91
5.694,42
6.258,1
9.346,22
9.803,81
9.181,2
0.721,61
yrdnabsuH porC)i
5.257,1
7.713
8.434,1
0.673,1
9.682
1.980,1
1.705,1
9.482
2.222,1
1.029,1
4.082
7.936,1
noitavresnoC
retaW dna lioS)ii
6.958,4
6.494,1
0.563,3
1.350,4
1.693,1
0.756,2
2.623,4
6.034,1
6.598,2
1.192,3
8.004,1
3.098,1
yrdnabsuH laminA)iii
6.619
5.4
1.219
1.907
β
1.907
3.957
5.4
8.457
8.18
3.5
5.67
tnempoleveD yriaD)vi
2.707,1
8.499
5.217
5.311,2
4.774,1
1.636
0.866,1
6.999
3.866
0.125,1
6.890,1
4.224
seirehsiF)v
8.316,4
2.701,3
6.605,1
3.661,5
9.509,3
4.062,1
9.380,4
4.357,2
6.033,1
4.636,3
5.797,2
9.838
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
7.371,1
9.843
8.428
9.210,1
3.952
6.357
6.143,1
4.483
2.759
3.941,1
7.292
6.658
gnisuoheraW
dna egarotS dooF)iiiv
6.616,6
5.441,3
0.274,3
0.306,6
1.140,3
9.165,3
6.024,6
8.258,2
7.765,3
9.997,5
4.297,2
5.700,3
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
7.218,4
0.258
8.069,3
9.196,6
2.928
8.268,5
4.666,2
3.138
2.538,1
3.067,3
0.087
3.089,2
noitarepo-oC)ix
4.612
7.44
7.171
9.051
3.14
7.901
0.251
3.24
7.901
1.011
6.83
5.17
semmargorP
larutlucirgA rehtO)iix
8.025,04
1.156,11
7.968,82
3.395,03
2.604,11
2.781,91
8.714,83
7.829,01
1.984,72
1.210,71
2.439,9
9.770,7
tnempoleveD laruR
.2
7.847
8.845
9.991
3.947
8.385
4.561
6.386
0.615
7.761
4.936
9.494
5.441
semmargorP
aerA laicepS
.3
8.795,11
5.957,6
3.838,4
3.067,01
2.883,6
1.273,4
1.087,11
4.239,6
6.748,4
5.318,9
5.149,5
0.278,3
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
7.838,6
7.269,5
0.678
1.783,6
8.606,5
3.087
4.041,7
9.431,6
6.500,1
0.262,5
5.121,5
5.041
noitagirrI
muideM dna rojaM
)i
1.750,4
6.567
5.192,3
5.559,3
9.457
6.002,3
1.090,4
9.667
1.323,3
6.499,3
8.097
8.302,3
noitagirrI roniM
)ii
5.355
2.13
3.225
4.092
4.62
0.462
4.163
5.03
9.033
0.683
1.92
9.653
eganiarD
dna lortnoC doolF
)iii
9.749,74
2.607,44
7.142,3
2.918,35
5.662,15
7.255,2
6.358,14
5.602,93
1.746,2
7.289,73
5.620,43
2.659,3
ygrenE
.5
7.746,74
2.607,44
5.149,2
6.225,35
5.662,15
1.652,2
0.055,14
5.602,93
5.343,2
7.057,73
5.620,43
2.427,3
rewoP :hcihw
fo
6.383,32
1.736,2
5.647,02
4.635,51
3.694,2
1.040,31
3.292,51
0.786,1
3.506,31
1.746,8
5.063,1
6.682,7
)iii ot
i( slareniM dna yrtsudnI
.6
2.409,8
3.645
0.853,8
7.908,6
3.325
4.682,6
5.085,7
5.765
0.310,7
3.795,4
4.944
8.741,4
seirtsudnI
llamS dna egalliV)i
4.974,41
9.090,2
6.883,21
7.627,8
0.379,1
7.357,6
8.117,7
5.911,1
4.295,6
8.940,4
0.119
8.831,3
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
182
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
TARAJUG
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
4.615,24
4.669,02
0.055,12
4.933,74
6.419,42
9.424,22
4.722,44
6.222,32
8.400,12
1.265,73
5.283,22
6.971,51
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
8.176,83
8.121,71
0.055,12
6.134,93
7.600,71
9.424,22
2.423,63
4.913,51
8.400,12
6.698,03
0.717,51
6.971,51
segdirB dna sdaoR)i
7.448,3
7.448,3
β
8.709,7
8.709,7
β
2.309,7
2.309,7
β
5.566,6
5.566,6
β
@@ srehtO)ii
0.158,1
0.51
0.638,1
3.636,1
5.31
8.226,1
4.107,1
6.31
8.786,1
4.617,1
0.11
4.507,1
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
7.931,7
2.958,3
5.082,3
0.925,7
6.408,3
3.427,3
0.319,5
3.522,3
7.786,2
0.553,4
4.831,3
6.612,1
)vi
ot
i( secivreS
cimonocE lareneG
.9
3.162,1
8.168
5.993
9.541,1
5.127
4.424
2.293,1
3.419
8.774
7.100,1
3.727
4.472
secivreS
cimonocE
- tairaterceS)i
1.868
1.3
0.568
3.372
8.2
5.072
4.292
4.2
0.092
9.381
3.3
6.081
msiruoT)ii
2.896,3
1.664,2
2.232,1
2.108,3
2.795,2
0.402,1
6.756,2
8.994,1
8.751,1
4.233,2
1.469,1
3.863
seilppuS liviC)iii
1.213,1
3.825
8.387
6.803,2
1.384
5.528,1
8.075,1
7.808
0.267
0.738
7.344
3.393
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
4.352,853
7.381,833
7.960,02
6.068,803
6.131,492
0.927,41
3.497,733
9.902,023
3.485,71
8.302,862
2.930,952
6.461,9
)F ot A( )secivreS
lareneG(
0.580,11
8.289,7
2.201,3
7.120,11
5.548,9
2.671,1
7.758,01
4.564,9
3.293,1
1.991,7
6.803,6
5.098
etatS fo
snagrO
.A
2.999,7
7.439,4
5.460,3
3.799,6
5.539,4
8.160,2
3.429,8
9.160,5
4.268,3
7.507,5
9.405,4
8.002,1
)ii + i( secivreS
lacsiF
.B
2.062
2.062
β
8.792
3.792
5.0
9.423
4.423
5.0
5.542
4.142
1.4
seituD
dna sexaT fo noitcelloC)i
0.937,7
5.476,4
5.460,3
5.996,6
2.836,4
3.160,2
4.995,8
5.737,4
9.168,3
2.064,5
4.362,4
7.691,1
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
1.711,861
1.711,861
β
3.411,551
3.411,551
β
1.443,851
1.443,851
β
2.023,331
2.023,331
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
0.000,5
0.000,5
β
0.000,5
0.000,5
β
0.000,7
0.000,7
β
β
β
β
tbeD fo ecnadiovA
1.711,361
1.711,361
β
3.411,051
3.411,051
β
1.443,151
1.443,151
β
2.023,331
2.023,331
β
)vi
ot i( stnemyaP tseretnI
.2
9.944,5
9.944,5
β
7.156,5
7.156,5
β
7.156,5
7.156,5
β
2.161,6
2.161,6
β
ertneC
eht morf
snaoL no tseretnI)i
0.904,241
0.904,241
β
2.525,721
2.525,721
β
7.949,131
7.949,131
β
1.322,311
1.322,311
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
8.478,09
8.478,09
β
1.020,67
1.020,67
β
4.662,18
4.662,18
β
4.142,26
4.142,26
β
snaoL
tekraM
no tseretnI )a(
8.040,64
8.040,64
β
6.993,64
6.993,64
β
1.335,54
1.335,54
β
2.609,64
2.609,64
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
0.790,8
0.790,8
β
6.077,7
6.077,7
β
6.823,7
6.823,7
β
4.282,7
4.282,7
β
.cte
,sdnuF tnedivorP
3.161,7
3.161,7
β
9.661,9
9.661,9
β
1.414,6
1.414,6
β
4.356,6
4.356,6
β
srehtO)vi
1.284,05
0.975,63
1.309,31
4.790,64
4.606,43
0.194,11
5.244,54
8.211,33
7.923,21
7.501,93
5.230,23
2.370,7
)v ot
i( secivreS evitartsinimdA
.D
2.549,3
6.732,1
7.707,2
0.694,3
3.191,1
7.403,2
5.357,3
7.313,1
9.934,2
2.647,1
8.010,1
5.537
secivreS
lareneG - tairaterceS)i
6.039,3
3.936,2
3.192,1
3.823,3
8.461,2
5.361,1
2.169,3
9.164,2
4.994,1
0.489,2
9.361,2
1.028
noitartsinimdA tcirtsiD)ii
8.826,33
6.017,42
2.819,8
8.003,03
1.231,32
7.861,7
4.027,03
4.823,32
0.293,7
2.303,62
4.185,12
8.127,4
eciloP)iii
6.001,3
4.001,3
2.0
8.803,3
6.803,3
2.0
7.115,1
5.115,1
2.0
9.676,2
7.676,2
2.0
skroW cilbuP)vi
8.678,5
1.198,4
7.589
4.366,5
6.908,4
9.358
6.594,5
4.794,4
3.899
4.593,5
7.995,4
7.597
++ srehtO)v
2.333,58
2.333,58
β
8.203,98
8.203,98
β
3.358,87
3.358,87
β
9.996,28
9.996,28
β
snoisneP
.E
9.632,53
9.632,53
β
1.723
1.723
β
4.273,53
4.273,53
β
1.371
1.371
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
6.322,6
6.322,6
β
5.683,5
5.683,5
β
1.349,1
1.349,1
β
7.652,3
7.652,3
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
6.322,6
6.322,6
β
5.683,5
5.683,5
β
1.349,1
1.349,1
β
7.652,3
7.652,3
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
183
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
ANAYRAH
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.696,816
2.680,234
0.016,681
9.091,945
4.804,193
5.287,751
1.720,725
3.577,763
8.152,951
0.178,814
1.053,713
9.025,101
)III+II+I( ERUTIDNEPXE
LATOT
1.046,514
4.041,132
8.994,481
1.344,563
3.981,902
8.352,651
2.696,853
4.052,102
8.544,751
1.635,182
0.139,081
1.506,001
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
9.841,052
9.307,311
9.444,631
6.641,812
7.572,89
9.078,911
6.979,412
8.640,99
8.239,511
1.431,451
3.776,18
8.654,27
)21 ot 1( secivreS
laicoS
.A
7.479,121
7.415,37
1.064,84
2.767,701
3.817,26
9.840,54
4.616,101
9.590,26
5.025,93
0.537,37
8.947,05
2.589,22
erutluC dna
trA ,stropS ,noitacudE
.1
2.680,82
3.728,11
9.852,61
1.549,32
6.410,01
6.039,31
3.953,52
9.103,11
3.750,41
7.207,51
3.754,8
4.542,7
htlaeH
cilbuP dna lacideM
.2
9.608,1
β
9.608,1
6.375,1
β
6.375,1
9.146,1
β
9.146,1
7.323,1
β
7.323,1
erafleW ylimaF
.3
3.371,61
5.512,51
8.759
9.165,41
9.826,31
0.339
9.770,41
9.913,31
0.857
8.192,21
8.936,11
0.256
noitatinaS
dna ylppuS retaW
.4
8.842
8.842
β
2.032
2.032
β
4.032
4.032
β
7.722
7.722
β
gnisuoH
.5
7.348,32
1.236,2
6.112,12
0.779,91
6.408,1
4.271,81
1.760,22
3.028,1
8.642,02
3.282,61
9.740,2
4.432,41
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
9.156,3
6.755,1
3.490,2
9.284,3
1.915,1
8.369,1
9.056,3
1.945,1
8.101,2
2.812,3
8.843,1
4.968,1
sessalC drawkcaB
6.386,3
3.262,2
3.124,1
5.023,3
7.389,1
8.633,1
5.742,3
4.060,2
1.781,1
1.773,2
3.375,1
8.308
erafleW
ruobaL dna ruobaL
.8
8.764,44
1.634,3
8.130,14
1.134,73
3.483,3
8.640,43
1.845,63
7.323,3
4.422,33
3.334,32
8.161,2
5.172,12
erafleW
dna ytiruceS laicoS
.9
3.725,2
8.81
5.805,2
7.112,2
7.61
0.591,2
2.212,2
2.71
0.591,2
7.294,1
8.21
0.084,1
noitirtuN
.01
6.683,2
6.683,2
β
3.294,2
3.294,2
β
3.408,2
3.408,2
β
6.440,3
3.240,3
3.2
seitimalaC
larutaN
fo tnuocca no feileR
.11
0.892,1
1.406
9.396
2.351,1
2.384
0.076
7.325,1
7.325
0.000,1
9.400,1
9.514
0.985
*srehtO
.21
3.194,561
5.634,711
8.450,84
5.692,741
6.319,011
9.283,63
5.617,341
6.302,201
9.215,14
9.104,721
7.352,99
3.841,82
)9 ot 1( secivreS cimonocE
.B
7.044,72
2.619,01
5.425,61
3.207,32
3.074,11
0.232,21
3.326,52
5.875,11
8.440,41
5.464,81
6.078,8
9.395,9
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
1.164,8
0.667,1
1.596,6
8.827,6
8.535,1
0.391,5
5.958,8
5.357,1
0.601,7
5.913,5
6.763,1
9.159,3
yrdnabsuH porC)i
3.376
3.304
0.072
8.275
8.053
0.222
9.965
9.743
0.222
5.834
8.472
7.361
noitavresnoC
retaW dna lioS)ii
2.746,6
2.439,4
0.317,1
0.684,5
0.091,4
0.692,1
0.845,5
0.502,4
0.343,1
7.760,4
6.214,3
1.556
yrdnabsuH laminA)iii
6.41
6.41
β
5.11
5.11
β
7.31
7.31
β
3.9
3.9
β
tnempoleveD yriaD)vi
8.064
8.913
0.141
2.903
0.342
2.66
7.803
8.142
9.66
0.532
0.991
9.53
seirehsiF)v
5.408,3
5.842,1
0.655,2
1.113,3
3.321,1
9.781,2
5.410,3
8.189
7.230,2
2.964,2
6.268
6.606,1
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
8.639,1
8.613
0.026,1
7.229,1
7.229,1
β
5.697,1
5.697,1
β
4.089
4.089
β
gnisuoheraW
dna egarotS dooF)iiiv
5.442,3
5.241,1
0.201,2
6.209,2
7.100,1
9.009,1
5.720,3
6.621,1
9.009,1
2.306,2
6.179
6.136,1
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
7.571,2
3.847
4.724,1
5.934,2
4.370,1
1.663,1
1.664,2
8.290,1
3.373,1
7.723,2
8.877
0.945,1
noitarepo-oC)ix
2.22
2.22
β
2.81
2.81
β
9.81
9.81
β
9.31
9.31
β
semmargorP
larutlucirgA rehtO)iix
2.815,72
8.173,7
5.641,02
6.047,22
1.136,6
5.901,61
3.262,32
5.391,6
8.860,71
0.472,71
3.255,5
7.127,11
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
aerA laicepS
.3
3.517,71
0.087,21
3.539,4
7.127,61
8.398,11
9.728,4
1.596,61
6.100,21
5.396,4
3.816,11
7.188,8
6.637,2
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
0.735,51
0.786,21
0.058,2
1.708,41
1.708,11
0.000,3
0.209,41
0.209,11
0.000,3
2.209,9
2.608,8
9.590,1
noitagirrI
muideM dna rojaM
)i
1.39
1.39
β
8.68
8.68
β
7.99
7.99
β
5.57
5.57
β
noitagirrI roniM
)ii
β
β
β
β
β
β
β
β
β
β
β
β
eganiarD
dna lortnoC doolF
)iii
1.964,65
1.492,65
0.571
3.045,35
8.374,35
5.66
3.101,54
8.430,54
5.66
5.021,25
9.270,25
7.74
ygrenE
.5
2.942,65
2.942,65
β
2.234,35
2.234,35
β
0.000,54
0.000,54
β
0.240,25
0.240,25
β
rewoP :hcihw
fo
2.329,1
7.554
5.764,1
5.985,1
3.404
2.581,1
7.381,1
9.873
7.408
6.079
1.353
6.716
)iii ot
i( slareniM dna yrtsudnI
.6
2.387
8.16
4.127
7.547
2.85
5.786
4.195
8.85
6.235
5.154
4.45
1.793
seirtsudnI
llamS dna egalliV)i
0.041,1
9.393
1.647
8.348
1.643
7.794
3.295
1.023
2.272
1.915
6.892
5.022
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
184
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
ANAYRAH
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
9.826,92
9.868,82
0.067
4.171,72
4.194,62
0.086
3.911,72
3.924,62
0.096
1.008,32
5.940,32
6.057
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
8.203,9
8.255,8
0.057
2.103,8
2.136,7
0.076
2.245,8
2.278,7
0.076
8.066,8
6.619,7
2.447
segdirB dna sdaoR)i
1.623,02
1.613,02
0.01
2.078,81
2.068,81
0.01
1.775,81
1.755,81
0.02
3.931,51
9.231,51
4.6
@@ srehtO)ii
0.363
5.19
5.172
4.242
4.97
0.361
4.253
4.48
0.862
5.792
9.17
6.522
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
9.234,4
3.856
6.477,3
3.885,1
5.964
8.811,1
2.973,4
5.205
7.678,3
4.658,2
7.104
7.454,2
)vi
ot
i( secivreS
cimonocE lareneG
.9
6.979,3
1.622
5.357,3
7.512,1
7.791
0.810,1
8.659,3
8.291
0.467,3
2.415,2
2.551
1.953,2
secivreS
cimonocE
- tairaterceS)i
3.53
3.53
β
4.23
4.23
β
0.23
0.23
β
2.52
2.52
β
msiruoT)ii
1.601
1.601
β
7.2
7.2
β
7.3
7.3
β
1.82
1.82
β
seilppuS liviC)iii
0.213
9.092
1.12
5.733
7.632
8.001
8.683
1.472
7.211
8.882
2.391
6.59
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
6.429,002
3.418,891
3.011,2
1.282,181
4.357,971
7.825,1
5.393,661
5.785,461
0.608,1
1.379,531
3.750,531
8.519
)F ot A( )secivreS
lareneG(
5.197,7
4.147,7
1.05
5.808,8
4.887,8
1.02
4.959,6
3.918,6
1.041
7.706,5
9.606,5
9.0
etatS fo
snagrO
.A
3.642,4
4.758,3
9.883
0.647,3
5.214,3
5.333
9.077,3
5.824,3
4.243
6.078,2
6.468,2
0.6
)ii + i( secivreS
lacsiF
.B
9.232,4
0.448,3
9.883
0.437,3
5.004,3
5.333
0.657,3
6.314,3
4.243
2.068,2
1.458,2
0.6
seituD
dna sexaT fo noitcelloC)i
4.31
4.31
β
0.21
0.21
β
9.41
9.41
β
4.01
4.01
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
5.788,09
5.788,09
β
3.159,87
3.159,87
β
2.334,57
2.334,57
β
7.794,85
7.794,85
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
0.052,5
0.052,5
β
8.399,6
8.399,6
β
3.440,4
3.440,4
β
β
β
β
tbeD fo ecnadiovA
5.736,58
5.736,58
β
5.759,17
5.759,17
β
9.883,17
9.883,17
β
7.794,85
7.794,85
β
)vi
ot i( stnemyaP tseretnI
.2
0.358
0.358
β
8.819
8.819
β
7.410,1
7.410,1
β
0.121,1
0.121,1
β
ertneC
eht morf
snaoL no tseretnI)i
2.663,47
2.663,47
β
8.965,16
8.965,16
β
8.045,16
8.045,16
β
8.073,84
8.073,84
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
0.385,94
0.385,94
β
2.029,73
2.029,73
β
0.444,33
0.444,33
β
3.670,72
3.670,72
β
snaoL
tekraM
no tseretnI )a(
9.515,01
9.515,01
β
2.181,01
2.181,01
β
3.610,01
3.610,01
β
3.990,11
3.990,11
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
0.170,01
0.170,01
β
3.961,9
3.961,9
β
9.154,8
9.154,8
β
9.817,8
9.817,8
β
.cte
,sdnuF tnedivorP
4.743
4.743
β
6.992
6.992
β
5.183
5.183
β
0.782
0.782
β
srehtO)vi
0.886,83
7.610,73
3.176,1
4.532,53
3.060,43
1.571,1
8.895,43
3.572,33
5.323,1
5.492,72
5.583,62
0.909
)v ot
i( secivreS evitartsinimdA
.D
8.992,1
8.992,1
β
7.632,1
7.632,1
β
9.512,1
9.512,1
β
1.440,1
1.440,1
β
secivreS
lareneG - tairaterceS)i
2.087,1
2.087,1
β
4.075,1
4.075,1
β
2.965,1
2.965,1
β
2.973,1
2.973,1
β
noitartsinimdA tcirtsiD)ii
5.438,82
5.606,82
0.822
9.294,62
9.294,62
β
1.857,52
1.857,52
β
6.813,02
6.813,02
β
eciloP)iii
8.675,2
5.303,1
3.372,1
9.842,2
9.871,1
0.070,1
0.966,2
9.344,1
1.522,1
7.507,1
0.988
8.618
skroW cilbuP)vi
8.691,4
8.620,4
0.071
6.686,3
5.185,3
1.501
7.683,3
3.882,3
4.89
8.648,2
7.457,2
2.29
++ srehtO)v
0.000,95
0.000,95
β
0.000,84
0.000,84
β
0.000,54
0.000,54
β
5.396,14
5.396,14
β
snoisneP
.E
2.113
2.113
β
8.045,6
8.045,6
β
2.136
2.136
β
1.9
1.9
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
5.2
5.2
β
0.2
0.2
β
1.2
1.2
β
4.1
4.1
β
seirettoL
etatS fo tnuocca no
tnemyaP
5.131,2
5.131,2
β
8.564,2
8.564,2
β
4.739,1
4.739,1
β
8.163,1
8.163,1
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
5.131,2
5.131,2
β
8.564,2
8.564,2
β
4.739,1
4.739,1
β
8.163,1
8.163,1
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
185
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
HSEDARP
LAHCAMIH
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
9.678,432
5.412,791
4.266,73
3.054,402
8.464,171
5.589,23
0.638,791
5.065,671
5.572,12
8.425,371
9.456,941
9.968,32
)III+II+I( ERUTIDNEPXE
LATOT
8.086,541
0.325,801
8.751,73
1.146,721
9.032,59
2.014,23
8.362,711
9.505,69
9.757,02
7.569,201
4.605,97
3.954,32
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
4.989,19
8.166,96
7.723,22
4.400,87
7.636,95
7.763,81
8.440,37
2.215,06
6.235,21
2.160,76
1.873,25
1.386,41
)21 ot 1( secivreS
laicoS
.A
4.757,05
3.449,04
1.318,9
5.975,54
7.837,73
8.048,7
6.328,24
5.985,73
1.432,5
9.661,63
8.850,03
1.801,6
erutluC dna
trA ,stropS ,noitacudE
.1
9.937,11
5.678,9
4.368,1
3.048,01
4.838,8
0.200,2
5.966,01
3.080,9
2.985,1
3.666,8
1.494,7
2.271,1
htlaeH
cilbuP dna lacideM
.2
9.844,4
4.580,1
5.363,3
3.099,2
7.799
6.299,1
0.905,1
7.799
2.115
6.643,1
5.318
1.335
erafleW ylimaF
.3
8.147,8
0.884,8
9.352
8.943,7
3.588,6
5.464
6.314,7
8.753,7
8.55
1.735,7
2.467,6
8.277
noitatinaS
dna ylppuS retaW
.4
1.449
9.732
2.607
8.695
3.58
5.115
0.583
1.18
9.303
6.734
5.09
2.743
gnisuoH
.5
6.843,2
4.623,1
2.220,1
8.550,2
9.740,1
9.700,1
7.649,1
7.001,1
0.648
9.287,2
1.020,1
8.267,1
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
2.986
1.351
1.635
5.126
0.621
5.594
4.536
9.831
5.694
5.655
4.001
1.654
sessalC drawkcaB
9.256,1
2.855,1
7.49
5.340,1
8.819
7.421
0.145,1
8.405,1
2.63
9.556
4.995
5.65
erafleW
ruobaL dna ruobaL
.8
4.440,7
6.651,3
8.788,3
7.607,5
6.874,2
1.822,3
1.100,5
9.481,2
2.618,2
1.988,4
9.150,2
3.738,2
erafleW
dna ytiruceS laicoS
.9
9.206
β
9.206
0.606
β
0.606
0.765
β
0.765
3.995
β
3.995
noitirtuN
.01
0.063,2
0.063,2
β
2.45
2.45
β
0.04
0.04
β
2.769,2
2.769,2
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
3.956
4.574
9.381
9.955
8.564
1.49
9.215
4.634
5.67
8.554
0.814
8.73
*srehtO
.21
4.196,35
2.168,83
1.038,41
7.636,94
2.495,53
5.240,41
0.912,44
7.399,53
3.522,8
5.409,53
3.821,72
2.677,8
)9 ot 1( secivreS cimonocE
.B
9.569,61
1.808,01
8.751,6
0.383,51
5.270,9
5.013,6
5.598,41
1.628,9
5.960,5
9.422,41
9.974,8
1.547,5
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
5.100,5
8.888,1
7.211,3
4.238,3
1.605,1
3.623,2
5.966,3
0.995,1
4.070,2
1.527,2
9.259
2.277,1
yrdnabsuH porC)i
4.805
7.663
7.141
6.024
7.703
9.211
4.564
5.553
9.901
8.804
4.662
4.241
noitavresnoC
retaW dna lioS)ii
5.009,2
8.264,2
7.734
7.637,2
4.371,2
3.365
7.406,2
2.071,2
6.434
8.142,2
6.608,1
2.534
yrdnabsuH laminA)iii
5.591
2.54
3.051
6.451
6.41
0.041
8.441
8.4
0.041
2.241
2.731
0.5
tnempoleveD yriaD)vi
7.061
0.411
7.64
2.641
8.101
4.44
2.851
9.221
3.53
8.581
1.39
7.29
seirehsiF)v
4.723,4
9.912,3
5.701,1
5.552,4
5.007,2
0.555,1
5.951,4
6.979,2
9.971,1
5.191,4
5.074,2
0.127,1
efiL
dliW dna yrtseroF
)iv
2.61
7.31
5.2
3.11
8.9
5.1
1.41
6.21
5.1
2.11
7.8
5.2
snoitatnalP)iiv
9.061,2
9.751,2
0.3
6.269,1
7.859,1
9.3
2.882,2
2.582,2
0.3
6.815,2
9.415,2
7.3
gnisuoheraW
dna egarotS dooF)iiiv
0.862,1
0.021
0.841,1
0.384,1
β
0.384,1
0.880,1
β
0.880,1
6.445,1
β
6.445,1
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
9.623
1.913
8.7
9.973
8.992
1.08
3.303
4.692
9.6
3.552
5.922
8.52
noitarepo-oC)ix
0.001
0.001
β
β
β
β
β
β
β
β
β
β
semmargorP
larutlucirgA rehtO)iix
7.338,11
1.174,4
6.263,7
9.531,01
9.911,4
0.610,6
1.406,5
0.339,3
1.176,1
4.963,4
9.911,3
5.942,1
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
aerA laicepS
.3
0.796,3
0.796,3
β
0.811,3
3.001,3
6.71
2.405,3
2.694,3
0.8
1.030,3
8.359,2
3.67
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
3.102
3.102
β
4.891
4.891
β
0.922
0.922
β
3.742
4.922
9.71
noitagirrI
muideM dna rojaM
)i
6.254,3
6.254,3
β
3.978,2
7.168,2
6.71
0.372,3
0.562,3
0.8
8.467,2
0.817,2
8.64
noitagirrI roniM
)ii
1.34
1.34
β
3.04
3.04
β
2.2
2.2
β
0.81
4.6
6.11
eganiarD
dna lortnoC doolF
)iii
6.754,4
6.654,4
0.1
3.639,3
9.339,3
4.2
7.305,3
3.773,3
4.621
4.562
0.67
4.981
ygrenE
.5
2.514,4
2.514,4
β
9.998,3
9.998,3
β
2.564,3
3.933,3
9.521
0.032
6.44
4.581
rewoP :hcihw
fo
5.568
5.764
0.893
8.218
8.773
0.534
8.588
9.924
8.554
4.546
8.553
6.982
)iii ot
i( slareniM dna yrtsudnI
.6
7.417
2.533
5.973
9.086
7.852
3.224
9.446
5.203
4.243
2.305
8.742
3.552
seirtsudnI
llamS dna egalliV)i
7.051
2.231
5.81
8.131
1.911
7.21
8.042
4.721
4.311
2.241
0.801
2.43
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
186
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
HSEDARP
LAHCAMIH
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.585,41
6.833,41
9.642
5.031,51
4.184,41
0.946
3.158,41
8.374,41
5.773
6.765,21
3.386,11
3.488
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
3.298,21
8.546,21
6.642
7.393,31
7.440,31
0.943
9.714,31
7.140,31
2.673
6.559,01
3.124,01
3.435
segdirB dna sdaoR)i
1.396,1
8.296,1
3.0
8.637,1
8.634,1
0.003
4.334,1
1.234,1
3.1
0.216,1
0.262,1
0.053
@@ srehtO)ii
3.19
6.92
7.16
5.48
6.72
0.75
2.58
0.62
2.95
1.36
0.82
0.53
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
0.591,1
9.295
1.206
8.530,1
9.084
9.455
3.988
5.134
7.754
7.837
6.134
1.703
)vi
ot
i( secivreS
cimonocE lareneG
.9
3.374
8.392
5.971
8.343
7.081
1.361
2.592
2.531
0.061
9.132
6.791
3.43
secivreS
cimonocE
- tairaterceS)i
9.844
4.64
5.204
6.543
0.54
6.003
8.043
2.34
6.792
4.303
7.83
8.462
msiruoT)ii
4.041
4.021
0.02
5.381
5.79
0.68
3.011
3.011
β
0.28
4.87
6.3
seilppuS liviC)iii
4.231
3.231
1.0
9.261
6.751
3.5
1.341
0.341
1.0
4.121
9.611
5.4
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
1.641,98
5.146,88
6.405
9.717,67
7.241,67
3.575
5.735,08
8.910,08
7.715
2.864,07
6.750,07
6.014
)F ot A( )secivreS
lareneG(
6.330,2
6.330,2
β
0.983,2
0.983,2
β
0.111,2
0.111,2
β
7.349,1
7.349,1
β
etatS fo
snagrO
.A
5.874,2
3.834,2
2.04
3.834,2
2.232,2
1.602
6.273,2
2.042,2
4.231
4.810,2
4.439,1
0.48
)ii + i( secivreS
lacsiF
.B
2.764,2
0.724,2
2.04
8.724,2
7.122,2
1.602
8.263,2
4.032,2
4.231
2.900,2
2.529,1
0.48
seituD
dna sexaT fo noitcelloC)i
2.11
2.11
β
5.01
5.01
β
8.9
8.9
β
2.9
2.9
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
0.005,92
0.005,92
β
3.909,62
3.909,62
β
0.005,72
0.005,72
β
6.808,42
6.808,42
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
β
β
β
β
β
β
β
β
β
β
β
β
tbeD fo ecnadiovA
0.005,92
0.005,92
β
3.909,62
3.909,62
β
0.005,72
0.005,72
β
6.808,42
6.808,42
β
)vi
ot i( stnemyaP tseretnI
.2
5.547
5.547
β
2.297
2.297
β
9.547
9.547
β
3.797
3.797
β
ertneC
eht morf
snaoL no tseretnI)i
7.845,12
7.845,12
β
3.711,91
3.711,91
β
4.892,91
4.892,91
β
3.322,71
3.322,71
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
7.928,31
7.928,31
β
7.256,11
7.256,11
β
0.809,11
0.809,11
β
3.047,9
3.047,9
β
snaoL
tekraM
no tseretnI )a(
0.008,5
0.008,5
β
2.935,5
2.935,5
β
7.083,5
7.083,5
β
1.141,5
1.141,5
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
8.502,7
8.502,7
β
8.999,6
8.999,6
β
7.554,7
7.554,7
β
0.887,6
0.887,6
β
.cte
,sdnuF tnedivorP
β
β
β
β
β
β
β
β
β
β
β
β
srehtO)vi
9.865,41
5.401,41
4.464
8.652,41
7.788,31
1.963
6.364,31
4.870,31
3.583
2.139,21
5.406,21
6.623
)v ot
i( secivreS evitartsinimdA
.D
0.377
0.377
β
5.707
5.707
β
5.827
5.827
β
5.816
5.816
β
secivreS
lareneG - tairaterceS)i
8.107,1
4.224,1
4.972
4.076,1
0.914,1
4.152
2.085,1
8.013,1
4.962
3.953,1
1.990,1
2.062
noitartsinimdA tcirtsiD)ii
2.414,7
2.414,7
β
0.574,7
0.574,7
β
6.008,6
6.008,6
β
4.927,6
4.927,6
β
eciloP)iii
6.776,2
9.155,2
7.521
9.565,2
0.074,2
9.59
4.635,2
3.244,2
1.49
9.346,2
6.195,2
3.25
skroW cilbuP)vi
3.200,2
0.349,1
3.95
0.838,1
1.618,1
9.12
9.718,1
1.697,1
8.12
0.085,1
9.565,1
1.41
++ srehtO)v
2.704,04
2.704,04
β
0.394,03
0.394,03
β
8.069,43
8.069,43
β
8.055,82
8.055,82
β
snoisneP
.E
0.851
0.851
β
6.132
6.132
β
6.921
6.921
β
5.512
5.512
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
0.05
0.05
β
3.19
3.19
β
7.43
7.43
β
9.09
9.09
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
0.05
0.05
β
3.19
3.19
β
7.43
7.43
β
9.09
9.09
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
187
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
RIMHSAK
DNA
UMMAJ
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
8.041,743
β
β
9.505,013
6.414,972
3.190,13
8.016,423
2.039,092
7.086,33
7.775,072
5.291,252
2.583,81
)III+II+I( ERUTIDNEPXE
LATOT
8.002,781
β
β
0.572,181
3.143,051
6.339,03
7.393,281
3.309,841
4.094,33
3.055,651
6.654,831
7.390,81
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
3.850,89
β
β
3.431,19
4.991,17
8.439,91
0.663,59
9.451,37
1.112,22
6.269,87
2.491,36
4.867,51
)21 ot 1( secivreS
laicoS
.A
2.244,25
β
β
6.649,74
1.638,43
5.011,31
5.406,25
5.708,63
1.797,51
7.026,73
2.894,92
4.221,8
erutluC dna
trA ,stropS ,noitacudE
.1
2.897,81
β
β
0.887,61
3.430,51
7.357,1
8.113,81
3.470,61
5.732,2
1.138,41
3.556,31
9.571,1
htlaeH
cilbuP dna lacideM
.2
5.613
β
β
1.762
1.762
β
6.513
6.513
β
6.286
6.622
9.554
erafleW ylimaF
.3
1.338,9
β
β
3.338,8
2.708,8
1.62
5.405,9
4.874,9
1.62
6.033,8
8.202,8
9.721
noitatinaS
dna ylppuS retaW
.4
6.126
β
β
1.416
1.316
0.1
8.046
8.936
0.1
8.055
8.055
β
gnisuoH
.5
6.831,6
β
β
7.570,6
2.810,6
5.75
5.936,4
0.285,4
5.75
8.907,3
8.676,3
0.33
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
0.115
β
β
2.578
5.951
7.517
5.548
8.171
7.376
1.456
4.571
7.874
sessalC drawkcaB
6.796
β
β
5.816
0.364
5.551
4.336
3.874
1.551
5.425,1
0.505
6.910,1
erafleW
ruobaL dna ruobaL
.8
9.467,3
β
β
3.175,3
5.668,1
8.407,1
9.199,2
9.954,1
9.135,1
3.742,5
6.253,1
7.498,3
erafleW
dna ytiruceS laicoS
.9
6.569,1
β
β
8.686,2
8.603
0.083,2
4.710,2
2.613
2.107,1
9.565
9.732
0.823
noitirtuN
.01
4.351,2
β
β
1.241,2
1.241,2
β
2.241,2
2.241,2
β
2.435,4
2.435,4
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
6.518
β
β
7.517
7.586
0.03
9.817
9.886
0.03
8.017
6.875
2.231
*srehtO
.21
5.241,98
β
β
7.041,09
9.141,97
8.899,01
8.720,78
4.847,57
3.972,11
7.785,77
5.262,57
2.523,2
)9 ot 1( secivreS cimonocE
.B
1.888,81
β
β
2.760,61
0.476,51
3.393
9.582,71
8.596,61
1.095
9.229,31
1.634,31
8.684
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
0.059,3
β
β
5.981,3
4.748,2
1.243
9.145,3
8.991,3
1.243
2.257,2
1.315,2
1.932
yrdnabsuH porC)i
7.607
β
β
9.136
0.036
9.1
4.896
8.696
6.1
8.725
6.725
3.0
noitavresnoC
retaW dna lioS)ii
6.120,4
β
β
0.264,3
0.954,3
0.3
6.436,3
1.236,3
5.2
7.612,3
5.051,3
2.66
yrdnabsuH laminA)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD)vi
3.595
β
β
4.365
0.555
4.8
2.735
8.825
4.8
4.905
2.705
2.2
seirehsiF)v
9.117,6
β
β
8.477,5
8.467,5
9.9
3.601,6
3.790,6
9.8
8.496,4
9.276,4
9.12
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
5.41
β
β
3.41
3.41
β
8.312
8.31
0.002
8.71
8.71
β
gnisuoheraW
dna egarotS dooF)iiiv
5.471,2
β
β
2.448,1
5.718,1
7.62
6.498,1
1.078,1
5.42
7.976,1
3.725,1
4.251
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
0.344
β
β
9.243
9.243
β
2.204
2.204
β
1.713
4.213
7.4
noitarepo-oC)ix
7.072
β
β
2.442
9.242
3.1
1.752
0.552
1.2
4.702
4.702
1.0
semmargorP
larutlucirgA rehtO)iix
9.356,3
β
β
7.612,4
5.108,3
2.514
0.715,4
2.938,3
9.776
6.183,3
9.181,3
7.991
tnempoleveD laruR
.2
9.413
β
β
8.592
8.592
β
2.003
2.003
β
8.886,4
3.925,4
5.951
semmargorP
aerA laicepS
.3
2.795,5
β
β
9.420,5
7.599,4
2.92
5.705,5
4.084,5
1.72
5.341,4
3.931,4
2.4
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
1.668
β
β
3.218
7.387
6.82
0.818
5.197
5.62
9.826
3.526
6.3
noitagirrI
muideM dna rojaM
)i
8.115,3
β
β
7.441,3
7.441,3
β
4.284,3
4.284,3
β
9.365,2
9.365,2
β
noitagirrI roniM
)ii
6.419
β
β
4.708
4.708
β
4.809
4.809
β
5.417
5.417
β
eganiarD
dna lortnoC doolF
)iii
0.493,54
β
β
0.924,84
0.413,84
0.511
3.161,34
3.650,34
0.501
9.030,34
6.389,24
3.74
ygrenE
.5
0.493,54
β
β
0.924,84
0.413,84
0.511
3.161,34
3.650,34
0.501
9.030,34
6.389,24
3.74
rewoP :hcihw
fo
7.666,2
β
β
7.821,3
8.349,2
0.581
1.314,3
2.732,3
9.571
4.676,2
0.645,2
5.031
)iii ot
i( slareniM dna yrtsudnI
.6
8.191,2
β
β
6.217,2
2.035,2
5.281
8.859,2
9.587,2
9.271
2.973,2
5.152,2
6.721
seirtsudnI
llamS dna egalliV)i
9.474
β
β
1.614
6.314
5.2
3.454
3.154
0.3
3.792
4.492
8.2
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
188
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
RIMHSAK
DNA
UMMAJ
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.128
β
β
7.662,1
9.732,1
8.82
8.562,1
9.732,1
9.72
1.696,1
0.496,1
1.2
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
1.128
β
β
7.662,1
9.732,1
8.82
8.562,1
9.732,1
9.72
1.696,1
0.496,1
1.2
segdirB dna sdaoR)i
β
β
β
β
β
β
β
β
β
β
β
β
@@ srehtO)ii
6.543
β
β
3.382
7.562
6.71
0.223
4.403
6.71
9.953
3.532
6.421
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
9.064,11
β
β
4.824,11
6.316,1
8.418,9
8.452,11
0.795,1
9.756,9
6.786,3
0.715,2
5.071,1
)vi
ot
i( secivreS
cimonocE lareneG
.9
2.756,2
β
β
5.626,2
2.964
4.751,2
0.751,2
0.754
0.007,1
9.861,2
7.842,1
3.029
secivreS
cimonocE
- tairaterceS)i
9.169
β
β
6.439
4.387
2.151
2.339
5.387
7.941
1.528
9.976
1.541
msiruoT)ii
β
β
β
β
β
β
β
β
β
β
β
β
seilppuS liviC)iii
8.148,7
β
β
2.768,7
0.163
2.605,7
7.461,8
5.653
2.808,7
6.396
4.885
2.501
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
0.049,951
β
β
0.132,921
3.370,921
7.751
1.712,241
9.620,241
2.091
4.720,411
8.537,311
5.192
)F ot A( )secivreS
lareneG(
5.959,2
β
β
7.716,3
3.216,3
5.5
7.126,3
2.616,3
5.5
7.350,2
7.350,2
β
etatS fo
snagrO
.A
1.797,3
β
β
6.659,1
2.539,1
4.12
4.831,2
9.021,2
5.71
0.127,1
7.256,1
3.86
)ii + i( secivreS
lacsiF
.B
0.695,3
β
β
3.449,1
9.229,1
4.12
3.921,2
8.111,2
5.71
9.917,1
5.156,1
3.86
seituD
dna sexaT fo noitcelloC)i
1.102
β
β
3.21
3.21
β
0.9
0.9
β
1.1
1.1
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
8.153,83
β
β
1.455,43
1.455,43
β
1.450,53
1.450,53
β
8.603,03
8.603,03
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
1.893
β
β
3.753
3.753
β
3.753
3.753
β
6.792
6.792
β
tbeD fo ecnadiovA
7.359,73
β
β
8.691,43
8.691,43
β
8.696,43
8.696,43
β
2.900,03
2.900,03
β
)vi
ot i( stnemyaP tseretnI
.2
4.910,1
β
β
5.359
5.359
β
5.359
5.359
β
0.019
0.019
β
ertneC
eht morf
snaoL no tseretnI)i
4.910,52
β
β
5.768,22
5.768,22
β
5.763,32
5.763,32
β
7.427,91
7.427,91
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
8.403,4
β
β
8.744,3
8.744,3
β
8.749,3
8.749,3
β
9.888,21
9.888,21
β
snaoL
tekraM
no tseretnI )a(
8.316,3
β
β
7.963,3
7.963,3
β
7.963,3
7.963,3
β
1.612,3
1.612,3
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
9.345,01
β
β
3.333,8
3.333,8
β
3.333,8
3.333,8
β
0.019,8
0.019,8
β
.cte
,sdnuF tnedivorP
0.173,1
β
β
5.240,2
5.240,2
β
5.240,2
5.240,2
β
6.464
6.464
β
srehtO)vi
1.026,87
β
β
5.197,15
6.066,15
9.031
0.295,16
8.424,16
3.761
8.810,44
5.597,34
2.322
)v ot
i( secivreS evitartsinimdA
.D
2.209
β
β
5.748
5.548
0.2
7.378
8.348
9.92
9.056
6.436
4.61
secivreS
lareneG - tairaterceS)i
7.296,1
β
β
1.711,1
1.711,1
β
4.619
4.619
β
9.170,1
3.149
6.031
noitartsinimdA tcirtsiD)ii
8.754,24
β
β
1.356,93
4.156,93
7.1
9.241,24
3.141,24
6.1
9.625,33
9.625,33
β
eciloP)iii
6.127,5
β
β
3.261,5
6.341,5
7.81
0.903,5
8.982,5
2.91
3.675,4
0.255,4
2.42
skroW cilbuP)vi
8.548,72
β
β
5.110,5
0.309,4
5.801
0.053,21
5.332,21
5.611
7.291,4
7.041,4
0.25
++ srehtO)v
0.002,63
β
β
0.003,73
0.003,73
β
0.008,93
0.008,93
β
4.519,53
4.519,53
β
snoisneP
.E
6.11
β
β
1.11
1.11
β
9.01
9.01
β
7.11
7.11
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
0.1
0.1
β
seirettoL
etatS fo tnuocca no
tnemyaP
β
β
β
β
β
β
β
β
β
β
β
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
189
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
DNAHKRAHJ
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
4.234,334
1.278,902
4.065,322
3.337,004
6.206,122
7.031,971
4.978,493
0.174,512
4.804,971
9.313,432
2.934,171
7.478,26
)III+II+I( ERUTIDNEPXE
LATOT
5.623,003
7.076,88
8.556,112
8.761,282
0.349,601
9.422,571
1.996,872
7.001,301
4.895,571
3.027,431
3.225,47
0.891,06
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
3.574,781
8.494,85
5.089,821
4.438,451
9.128,75
5.210,79
8.038,371
6.938,86
2.199,401
4.351,28
4.599,24
0.851,93
)21 ot 1( secivreS
laicoS
.A
8.809,58
0.819,14
8.099,34
8.190,17
3.172,53
6.028,53
1.996,48
4.476,64
8.420,83
6.122,93
9.167,82
7.954,01
erutluC dna
trA ,stropS ,noitacudE
.1
5.076,32
1.853,8
4.213,51
6.438,91
9.598,7
7.839,11
2.299,02
6.851,8
7.338,21
0.789,8
3.839,5
7.840,3
htlaeH
cilbuP dna lacideM
.2
3.363,1
4.36
9.992,1
2.183,1
8.011
4.072,1
2.183,1
8.011
4.072,1
9.387
4.601
5.776
erafleW ylimaF
.3
9.818,41
8.682,2
1.235,21
3.987,8
3.368,1
0.629,6
3.841,9
3.748,1
0.103,7
7.549,2
8.370,2
9.178
noitatinaS
dna ylppuS retaW
.4
0.564
0.002
0.562
0.852
0.822
0.03
0.032
0.002
0.03
2.281
8.271
4.9
gnisuoH
.5
9.314,31
9.373
0.040,31
8.987,01
1.415,4
6.572,6
8.009,61
8.020,4
0.088,21
1.679,3
1.367
0.312,3
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
5.613,11
2.936,1
4.776,9
0.970,01
1.862,1
9.018,8
0.713,9
4.063,1
6.659,7
4.842,6
1.529
2.323,5
sessalC drawkcaB
3.038,2
5.597
7.430,2
1.249,2
2.686
0.652,2
1.812,2
6.308
5.414,1
4.772,1
1.654
4.128
erafleW
ruobaL dna ruobaL
.8
5.277,22
8.403
7.764,22
9.593,81
0.972
0.711,81
6.189,71
6.862
0.317,71
6.049,01
7.162
9.876,01
erafleW
dna ytiruceS laicoS
.9
0.610,8
β
0.610,8
8.172,5
β
8.172,5
8.172,5
β
8.172,5
1.829,3
β
1.829,3
noitirtuN
.01
5.776,1
5.676,1
0.1
6.978,4
6.928,4
0.05
2.817,4
2.866,4
0.05
5.529,2
5.529,2
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
0.222,1
5.878
5.343
3.121,1
8.578
5.542
5.279
0.727
5.542
9.637
8.016
1.621
*srehtO
.21
1.158,211
9.571,03
3.576,28
4.333,721
0.121,94
4.212,87
4.868,401
1.162,43
3.706,07
9.665,25
9.625,13
0.040,12
)9 ot 1( secivreS cimonocE
.B
6.840,81
6.161,5
0.788,21
1.410,81
8.046,5
3.373,21
7.071,71
6.332,5
2.739,11
2.057,9
3.681,4
9.365,5
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
2.055,7
5.047
7.908,6
1.009,7
0.217
1.881,7
9.504,7
9.017
0.596,6
4.157,2
5.385
9.761,2
yrdnabsuH porC)i
4.163
4.791
0.461
4.283
4.281
0.002
2.283
2.281
0.002
5.594
6.831
9.653
noitavresnoC
retaW dna lioS)ii
8.217,1
4.780,1
4.526
7.535,1
9.160,1
8.374
5.595,1
9.160,1
6.335
4.432,1
3.388
1.153
yrdnabsuH laminA)iii
6.761,1
4.39
3.470,1
2.051,1
3.301
9.640,1
2.051,1
3.301
9.640,1
1.886
8.17
3.616
tnempoleveD yriaD)vi
2.114
9.411
3.692
6.904
4.501
2.403
8.604
4.501
4.103
3.753
5.28
8.472
seirehsiF)v
4.988,4
0.720,2
3.268,2
5.195,4
7.405,2
8.680,2
3.634,4
5.943,2
8.680,2
8.486,2
0.046,1
8.440,1
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
3.419
3.404
0.015
3.070,1
3.005
0.075
3.028
3.052
0.075
6.028
0.873
6.244
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
1.199
1.674
0.515
8.319
4.054
4.364
1.319
7.944
4.364
5.996
4.093
1.903
noitarepo-oC)ix
7.05
7.02
0.03
4.06
4.02
0.04
4.06
4.02
0.04
6.81
4.81
2.0
semmargorP
larutlucirgA rehtO)iix
7.477,55
7.828,6
0.649,84
2.215,26
2.826,21
0.488,94
2.343,15
2.844,9
0.598,14
6.098,31
3.696,5
4.491,8
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
aerA laicepS
.3
3.564,4
3.544,4
0.02
1.361,4
1.341,4
0.02
8.233,4
8.213,4
0.02
8.040,3
9.330,3
9.6
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
1.605,3
1.605,3
β
8.540,3
8.540,3
β
7.271,3
7.271,3
β
6.304,2
6.304,2
β
noitagirrI
muideM dna rojaM
)i
2.929
2.929
β
4.780,1
4.780,1
β
1.031,1
1.031,1
β
3.036
3.036
β
noitagirrI roniM
)ii
0.01
0.01
β
0.01
0.01
β
0.01
0.01
β
β
β
β
eganiarD
dna lortnoC doolF
)iii
9.598,31
9.420,01
0.178,3
7.985,32
2.980,12
5.005,2
4.325,21
9.220,01
5.005,2
7.702,51
6.320,51
1.481
ygrenE
.5
9.590,31
9.420,01
0.170,3
7.980,32
2.980,12
5.000,2
4.320,21
9.220,01
5.000,2
0.980,51
6.320,51
4.56
rewoP :hcihw
fo
6.239,3
6.205
0.034,3
6.382,3
6.225
0.167,2
9.382,3
9.225
0.167,2
9.068,1
0.044
9.024,1
)iii ot
i( slareniM dna yrtsudnI
.6
7.487,1
7.332
0.155,1
1.369,1
6.032
5.237,1
9.469,1
4.232
5.237,1
9.001,1
0.812
9.288
seirtsudnI
llamS dna egalliV)i
8.741,2
8.862
0.978,1
5.023,1
0.292
5.820,1
1.913,1
6.092
5.820,1
1.067
0.222
0.835
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
190
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
DNAHKRAHJ
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.952,3
7.232,2
5.620,1
1.571,5
3.901,4
9.560,1
0.308,4
2.737,3
9.560,1
3.615,2
2.344,2
1.37
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
2.813,2
2.002,2
0.811
4.831,4
3.430,4
1.401
4.638,3
4.237,3
1.401
7.853,2
5.582,2
1.37
segdirB dna sdaoR)i
0.149
5.23
5.809
7.630,1
9.47
8.169
6.669
8.4
8.169
6.751
6.751
β
@@ srehtO)ii
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
9.474,31
1.089
8.494,21
6.595,01
9.789
7.706,9
3.114,11
6.389
7.724,01
3.003,6
6.307
7.695,5
)vi
ot
i( secivreS
cimonocE lareneG
.9
1.764
1.764
β
7.434
7.434
β
8.034
8.034
β
1.723
1.723
β
secivreS
cimonocE
- tairaterceS)i
9.863
9.41
0.453
5.18
0.51
5.66
4.18
9.41
5.66
3.27
4.31
9.85
msiruoT)ii
2.603,21
1.013
1.699,11
5.453,9
1.203
4.250,9
6.891,01
7.103
9.698,9
8.317,5
7.212
1.105,5
seilppuS liviC)iii
7.233
1.881
6.441
9.427
1.632
8.884
4.007
1.632
3.464
1.781
3.051
8.63
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
9.501,331
3.102,121
6.409,11
0.465,811
2.856,411
8.509,3
7.871,611
8.863,211
9.908,3
6.395,99
9.619,69
7.676,2
)F ot A( )secivreS
lareneG(
0.253,4
0.253,4
β
3.556,6
3.556,6
β
9.612,5
9.612,5
β
8.332,3
8.332,3
β
etatS fo
snagrO
.A
1.501,4
1.671,3
0.929
1.188,3
5.922,3
6.156
0.157,3
4.990,3
6.156
8.046,2
9.535,2
0.501
)ii + i( secivreS
lacsiF
.B
2.180,4
2.251,3
0.929
3.758,3
7.502,3
6.156
2.727,3
6.570,3
6.156
3.816,2
3.315,2
0.501
seituD
dna sexaT fo noitcelloC)i
9.32
9.32
β
8.32
8.32
β
8.32
8.32
β
5.22
5.22
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
4.964,43
4.964,43
β
7.426,72
7.426,72
β
2.192,72
2.192,72
β
3.441,62
3.441,62
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
0.002
0.002
β
0.053
0.053
β
0.053
0.053
β
β
β
β
tbeD fo ecnadiovA
4.962,43
4.962,43
β
7.472,72
7.472,72
β
2.149,62
2.149,62
β
3.441,62
3.441,62
β
)vi
ot i( stnemyaP tseretnI
.2
0.102,1
0.102,1
β
0.156,1
0.156,1
β
0.156,1
0.156,1
β
7.374,1
7.374,1
β
ertneC
eht morf
snaoL no tseretnI)i
3.604,03
3.604,03
β
5.344,32
5.344,32
β
0.512,32
0.512,32
β
8.192,22
8.192,22
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
0.004,51
0.004,51
β
0.005,9
0.005,9
β
0.005,9
0.005,9
β
9.184,9
9.184,9
β
snaoL
tekraM
no tseretnI )a(
0.005,9
0.005,9
β
0.000,01
0.000,01
β
0.000,01
0.000,01
β
6.752,9
6.752,9
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
0.235,2
0.235,2
β
0.030,2
0.030,2
β
0.030,2
0.030,2
β
6.953,2
6.953,2
β
.cte
,sdnuF tnedivorP
1.031
1.031
β
2.051
2.051
β
2.54
2.54
β
3.91
3.91
β
srehtO)vi
3.352,54
7.772,43
6.579,01
4.625,73
2.272,43
2.452,3
1.340,73
8.488,33
3.851,3
6.137,23
9.951,03
7.175,2
)v ot
i( secivreS evitartsinimdA
.D
7.719
6.719
1.0
7.600,2
7.600,2
β
1.089,1
6.779,1
5.2
8.426,2
8.426,2
β
secivreS
lareneG - tairaterceS)i
2.373,21
7.754,1
5.519,01
0.736,3
8.781,1
2.944,2
6.635,3
8.581,1
8.053,2
4.850,2
1.330,1
3.520,1
noitartsinimdA tcirtsiD)ii
3.367,72
3.367,72
β
0.058,72
0.501,72
0.547
3.149,72
3.691,72
0.547
3.890,52
6.365,32
7.435,1
eciloP)iii
2.972,1
2.922,1
0.05
3.682,1
3.632,1
0.05
2.292,1
2.242,1
0.05
8.658
8.558
0.1
skroW cilbuP)vi
0.029,2
0.019,2
0.01
4.647,2
4.637,2
0.01
9.292,2
9.282,2
0.01
3.390,2
6.280,2
7.01
++ srehtO)v
1.629,44
1.629,44
β
4.678,24
4.678,24
β
4.678,24
4.678,24
β
1.348,43
1.348,43
β
snoisneP
.E
β
β
β
β
β
β
β
β
β
β
β
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
1.0
1.0
β
5.1
5.1
β
5.1
5.1
β
β
β
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
1.0
1.0
β
5.1
5.1
β
5.1
5.1
β
β
β
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
191
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
AKATANRAK
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
8.694,451,1
7.362,257
1.332,204
2.674,780,1
3.756,907
9.818,773
4.375,701,1
7.342,337
7.923,473
7.598,198
3.791,226
4.896,962
)III+II+I( ERUTIDNEPXE
LATOT
2.730,977
2.181,304
0.658,573
9.598,147
2.827,393
8.761,843
5.551,547
1.110,104
4.441,443
2.741,295
6.655,543
7.095,642
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
1.482,754
1.909,802
0.573,842
0.179,924
5.987,991
6.181,032
7.761,124
2.991,791
5.869,322
9.812,623
2.331,871
7.580,841
)21 ot 1( secivreS
laicoS
.A
8.469,591
0.959,821
8.500,76
5.498,202
6.425,721
9.963,57
5.453,202
1.066,821
4.496,37
5.556,161
2.919,511
2.637,54
erutluC dna
trA ,stropS ,noitacudE
.1
3.248,84
1.024,22
2.224,62
2.726,05
3.452,22
9.273,82
1.798,74
2.972,22
0.816,52
1.298,53
1.864,22
0.424,31
htlaeH
cilbuP dna lacideM
.2
7.809,6
5.172
2.736,6
0.919,5
8.703
3.116,5
8.519,5
3.603
6.906,5
5.830,5
9.672
7.167,4
erafleW ylimaF
.3
6.172,22
3.582
3.689,12
4.079,11
1.743
3.326,11
7.155,21
1.743
6.402,21
8.052,5
2.723
5.329,4
noitatinaS
dna ylppuS retaW
.4
7.715,63
7.724,3
0.090,33
7.371,42
5.121,2
2.250,22
7.372,42
5.122,2
2.250,22
1.240,41
0.631,2
1.609,11
gnisuoH
.5
1.108,8
7.722,1
4.375,7
2.697,7
1.501,1
2.196,6
6.935,9
1.301,1
5.634,8
8.804,7
7.240,1
1.663,6
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
7.447,45
4.964,11
3.572,34
9.959,15
6.249,9
3.710,24
4.825,84
4.839,9
1.095,83
6.102,73
0.868,9
6.333,72
sessalC drawkcaB
1.297,5
5.152,1
6.045,4
1.550,6
5.082,1
6.477,4
4.998,5
1.702,1
3.296,4
8.688,2
8.260,1
0.428,1
erafleW
ruobaL dna ruobaL
.8
9.673,75
2.726,62
7.947,03
8.840,54
6.408,81
1.442,62
8.984,44
5.508,81
3.486,52
2.259,93
8.163,31
4.095,62
erafleW
dna ytiruceS laicoS
.9
7.824,31
5.481,7
2.442,6
5.918,21
8.001,7
7.817,5
3.687,21
8.001,7
5.586,5
5.205,8
3.542,4
2.752,4
noitirtuN
.01
3.267,3
3.267,3
β
8.683,7
8.636,6
0.057
5.777,3
5.720,3
0.057
5.024,5
0.103,5
5.911
seitimalaC
larutaN
fo tnuocca no feileR
.11
2.378,2
9.220,2
3.058
9.913,3
8.363,2
1.659
9.351,3
8.202,2
1.159
6.769,2
1.421,2
5.348
*srehtO
.21
1.357,123
1.272,491
0.184,721
9.429,113
7.839,391
2.689,711
8.789,323
9.118,302
9.571,021
3.829,562
4.324,761
0.505,89
)9 ot 1( secivreS cimonocE
.B
5.216,901
0.323,84
5.982,16
2.492,011
8.501,45
4.881,65
3.439,721
3.680,86
1.848,95
2.898,521
3.974,65
9.814,96
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
2.461,53
1.914,4
1.547,03
7.519,13
4.134,4
3.484,72
7.143,33
4.134,4
3.019,82
3.278,32
2.176,4
0.102,91
yrdnabsuH porC)i
0.236,3
0.607
0.629,2
3.019,5
5.287
9.721,5
2.961,9
5.677
8.293,8
9.943,2
1.817
8.136,1
noitavresnoC
retaW dna lioS)ii
6.980,8
7.192,5
9.797,2
7.265,7
4.909,3
3.356,3
5.135,7
4.709,3
1.426,3
4.729,6
6.035,3
8.693,3
yrdnabsuH laminA)iii
7.229,9
β
7.229,9
0.039,8
β
0.039,8
0.039,8
β
0.039,8
3.694,8
β
3.694,8
tnempoleveD yriaD)vi
9.859,1
6.182
3.776,1
4.910,1
0.882
4.137
4.960,1
0.882
4.187
0.769
7.082
3.686
seirehsiF)v
4.922,31
8.137,11
6.794,1
5.088,41
4.414,11
1.664,3
9.417,21
5.490,01
4.026,2
1.616,51
4.164,21
8.451,3
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
1.408,02
1.408,02
β
9.570,92
9.570,92
β
3.483,44
3.483,44
β
5.660,13
5.660,13
β
gnisuoheraW
dna egarotS dooF)iiiv
1.009,5
9.522,4
2.476,1
1.280,6
8.913,3
3.267,2
1.280,6
8.913,3
3.267,2
2.629,4
0.029,2
2.600,2
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
5.119,01
8.268
7.840,01
7.719,4
5.488
2.330,4
4.117,4
5.488
9.628,3
6.676,13
7.038
8.548,03
noitarepo-oC)ix
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
larutlucirgA rehtO)iix
1.366,74
4.992,02
7.363,72
9.291,65
2.306,72
7.985,82
4.734,15
3.126,22
1.618,82
3.828,22
9.981,31
4.836,9
tnempoleveD laruR
.2
7.481,7
β
7.481,7
7.940,3
β
7.940,3
7.940,3
β
7.940,3
9.325,1
β
9.325,1
semmargorP
aerA laicepS
.3
0.860,61
2.611,21
8.159,3
2.810,21
1.180,8
1.739,3
2.344,31
1.160,9
1.283,4
2.323,7
6.910,5
6.303,2
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
5.589,9
4.159,9
1.43
6.133,6
8.332,6
8.79
6.173,7
8.312,7
8.751
7.724,3
8.523,3
9.101
noitagirrI
muideM dna rojaM
)i
7.658,2
0.951,2
7.796
8.355,2
8.148,1
9.117
8.825,2
8.148,1
9.686
1.671,2
6.557,1
5.024
noitagirrI roniM
)ii
8.5
8.5
β
5.5
5.5
β
5.5
5.5
β
3.5
3.5
β
eganiarD
dna lortnoC doolF
)iii
6.488,08
2.115,08
4.373
1.294,76
0.030,76
1.264
1.193,76
0.030,76
1.163
1.759,95
8.926,95
3.723
ygrenE
.5
2.117,08
2.115,08
0.002
0.032,76
0.030,76
0.002
0.032,76
0.030,76
0.002
8.928,95
8.926,95
0.002
rewoP :hcihw
fo
6.967,01
3.050,4
3.917,6
6.911,11
1.215,4
5.706,6
1.911,11
4.936,4
7.974,6
5.028,8
7.152,3
8.865,5
)iii ot
i( slareniM dna yrtsudnI
.6
5.851,8
0.994,3
5.956,4
2.975,8
1.689,3
0.395,4
0.944,8
7.290,4
3.653,4
6.933,6
2.009,2
4.934,3
seirtsudnI
llamS dna egalliV)i
1.116,2
3.155
8.950,2
4.045,2
0.625
4.410,2
2.076,2
7.645
4.321,2
9.084,2
5.153
4.921,2
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
192
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
AKATANRAK
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
9.454,33
0.543,71
9.901,61
4.818,23
6.996,02
8.811,21
2.579,13
8.754,02
4.715,11
9.006,52
5.004,02
4.002,5
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
5.137,52
0.346,9
5.880,61
3.551,62
4.350,41
8.101,21
1.232,52
6.137,31
4.005,11
8.384,81
6.392,31
2.091,5
segdirB dna sdaoR)i
4.327,7
0.207,7
4.12
2.366,6
2.646,6
0.71
2.347,6
2.627,6
0.71
1.711,7
0.701,7
2.01
@@ srehtO)ii
7.096
1.0
6.096
9.608
1.0
8.608
9.607
1.0
8.607
5.806
1.0
4.806
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
0.524,51
9.626,11
1.897,3
8.231,81
8.609,11
0.622,6
8.039,61
0.619,11
8.410,5
6.763,31
4.254,9
2.519,3
)vi
ot
i( secivreS
cimonocE lareneG
.9
0.835,2
1.717
9.028,1
9.857,3
6.539
3.328,2
9.856,3
8.439
1.427,2
2.747,1
1.946
1.890,1
secivreS
cimonocE
- tairaterceS)i
7.413,1
6.54
1.962,1
4.323,1
1.14
3.282,1
4.322,1
1.14
3.281,1
6.290,1
1.73
4.550,1
msiruoT)ii
7.611
9.411
8.1
9.821
4.521
5.3
9.831
4.531
5.3
5.572
5.472
0.1
seilppuS liviC)iii
6.554,11
3.947,01
3.607
6.129,21
7.408,01
9.611,2
6.909,11
7.408,01
9.401,1
4.252,01
7.194,8
7.067,1
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
4.079,903
0.975,703
4.193,2
6.309,672
4.909,372
2.499,2
9.107,592
6.347,292
3.859,2
1.445,942
3.049,742
8.306,1
)F ot A( )secivreS
lareneG(
4.637,9
6.514,9
8.023
6.798,11
1.985,11
6.803
7.591,21
1.788,11
6.803
0.401,01
8.039,9
2.371
etatS fo
snagrO
.A
4.735,01
1.824,01
3.901
9.244,11
7.973,11
2.36
6.338,11
3.977,11
3.45
4.695,81
7.375,81
7.22
)ii + i( secivreS
lacsiF
.B
0.354,01
7.343,01
3.901
2.053,11
0.782,11
2.36
8.047,11
5.686,11
3.45
5.415,81
8.194,81
7.22
seituD
dna sexaT fo noitcelloC)i
4.48
4.48
β
7.29
7.29
β
7.29
7.29
β
9.18
9.18
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
7.620,211
7.620,211
β
7.836,59
7.836,59
β
0.000,201
0.000,201
β
3.373,87
3.373,87
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
0.053,5
0.053,5
β
0.005,2
0.005,2
β
0.000,5
0.000,5
β
β
β
β
tbeD fo ecnadiovA
7.676,601
7.676,601
β
7.831,39
7.831,39
β
0.000,79
0.000,79
β
3.373,87
3.373,87
β
)vi
ot i( stnemyaP tseretnI
.2
4.031,8
4.031,8
β
2.555,7
2.555,7
β
8.936,8
8.936,8
β
6.845,7
6.845,7
β
ertneC
eht morf
snaoL no tseretnI)i
1.878,58
1.878,58
β
6.064,07
6.064,07
β
4.267,27
4.267,27
β
4.779,55
4.779,55
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
9.779,36
9.779,36
β
7.272,84
7.272,84
β
5.046,05
5.046,05
β
0.496,33
0.496,33
β
snaoL
tekraM
no tseretnI )a(
6.595,81
6.595,81
β
3.790,91
3.790,91
β
7.559,81
7.559,81
β
0.254,91
0.254,91
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
8.666,21
8.666,21
β
4.690,51
4.690,51
β
4.695,51
4.695,51
β
4.648,41
4.648,41
β
.cte
,sdnuF tnedivorP
4.1
4.1
β
4.62
4.62
β
4.1
4.1
β
8.0
8.0
β
srehtO)vi
4.088,96
1.919,76
3.169,1
6.046,06
3.820,85
3.216,2
5.964,57
0.478,27
5.595,2
4.403,05
5.698,84
9.704,1
)v ot
i( secivreS evitartsinimdA
.D
0.657,1
2.647,1
8.9
7.860,2
8.950,2
9.8
6.020,2
6.110,2
9.8
8.183,1
4.763,1
5.41
secivreS
lareneG - tairaterceS)i
3.937,4
3.986,4
0.05
4.246,5
9.344,5
5.891
3.186,5
8.284,5
5.891
5.220,4
0.789,3
5.53
noitartsinimdA tcirtsiD)ii
5.650,33
0.239,13
5.421,1
9.688,53
6.822,43
3.856,1
6.436,63
3.679,43
3.856,1
6.971,03
2.373,92
4.608
eciloP)iii
3.119,8
5.297,8
8.811
7.959,7
7.948,7
0.011
2.335,8
2.324,8
0.011
2.255,7
9.664,7
3.58
skroW cilbuP)vi
3.714,12
1.957,02
2.856
9.280,9
4.644,8
5.636
9.995,22
1.089,12
7.916
4.861,7
2.207,6
2.664
++ srehtO)v
5.531,701
5.531,701
β
0.000,79
0.000,79
β
0.005,39
0.005,39
β
2.815,19
2.815,19
β
snoisneP
.E
0.456
0.456
β
8.382
6.372
2.01
2.307
2.307
β
8.746
8.746
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
2.984,56
5.305,14
7.589,32
8.676,86
8.910,24
0.756,62
0.617,66
0.984,93
0.722,72
4.402,05
5.007,82
9.305,12
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
2.984,56
5.305,14
7.589,32
8.676,86
8.910,24
0.756,62
0.617,66
0.984,93
0.722,72
4.402,05
5.007,82
9.305,12
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
193
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
ALAREK
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.195,258
6.891,707
6.293,541
1.325,837
2.993,016
8.321,821
4.047,917
1.188,016
3.958,801
0.558,406
0.344,435
0.214,07
)III+II+I( ERUTIDNEPXE
LATOT
8.344,524
9.377,182
9.966,341
6.646,273
4.432,642
2.214,621
5.528,653
6.844,942
0.773,701
3.980,982
9.349,912
5.541,96
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
2.344,603
5.665,512
7.678,09
9.599,852
4.146,081
5.453,87
2.946,262
9.777,681
3.178,57
8.897,902
3.803,361
5.094,64
)21 ot 1( secivreS
laicoS
.A
5.362,161
6.803,141
9.459,91
6.651,131
0.423,811
7.238,21
0.531,731
3.003,421
7.438,21
4.890,711
9.011,701
6.789,9
erutluC dna
trA ,stropS ,noitacudE
.1
5.615,74
4.949,73
1.765,9
9.367,14
6.535,13
3.822,01
4.392,73
1.131,23
3.261,5
6.335,13
9.039,62
8.206,4
htlaeH
cilbuP dna lacideM
.2
6.197,5
2.013,1
4.184,4
4.054,5
0.969
4.184,4
8.454,5
4.379
4.184,4
8.145,3
0.178
8.076,2
erafleW ylimaF
.3
2.378,9
5.006,2
7.272,7
7.963,8
7.793,2
0.279,5
7.553,8
7.773,2
0.879,5
0.608,5
5.401,2
5.107,3
noitatinaS
dna ylppuS retaW
.4
9.387
9.985
0.491
4.610,1
5.518
9.002
0.812,1
8.559
2.262
3.441,1
8.020,1
5.321
gnisuoH
.5
9.538,8
5.493
4.144,8
7.034,7
9.753
9.270,7
8.546,21
6.163
2.482,21
5.731,2
5.459
0.381,1
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
3.168,32
8.463,3
5.694,02
9.708,22
3.741,3
7.066,91
2.307,12
8.641,3
4.655,81
1.893,61
4.526,2
7.277,31
sessalC drawkcaB
1.445,8
7.930,3
4.405,5
6.421,8
3.269,2
3.261,5
1.726,8
1.828,2
0.997,5
7.723,6
6.956,2
1.866,3
erafleW
ruobaL dna ruobaL
.8
6.422,63
4.767,12
2.754,41
5.537,92
1.661,71
4.965,21
1.261,72
4.478,61
6.782,01
2.250,22
4.273,51
8.976,6
erafleW
dna ytiruceS laicoS
.9
3.54
3.54
β
9.53
9.53
β
7.73
7.73
β
1.62
1.62
β
noitirtuN
.01
1.291,2
5.019,1
6.182
1.527,1
1.527,1
β
8.366,1
8.366,1
β
6.116,2
6.116,2
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
3.115,1
8.582,1
5.522
0.973,1
0.502,1
0.471
6.253,1
1.721,1
5.522
5.121,1
7.020,1
8.001
*srehtO
.21
6.000,911
4.702,66
2.397,25
7.056,311
0.395,56
7.750,84
3.671,49
6.076,26
7.505,13
5.092,97
5.536,65
0.556,22
)9 ot 1( secivreS cimonocE
.B
9.207,54
7.864,72
3.432,81
3.438,24
9.637,72
3.790,51
5.619,44
3.628,62
1.090,81
0.929,83
7.631,62
3.297,21
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
6.887,41
2.757,5
4.130,9
6.418,11
1.240,5
5.277,6
2.810,41
0.961,5
2.948,8
4.825,01
9.846,4
6.978,5
yrdnabsuH porC)i
4.400,1
9.425
5.974
1.888
9.664
2.124
2.519
7.584
5.924
5.276
2.914
4.352
noitavresnoC
retaW dna lioS)ii
5.244,5
9.917,3
6.227,1
1.346,4
6.260,3
5.085,1
0.370,5
0.112,3
0.268,1
9.302,4
6.968,2
3.433,1
yrdnabsuH laminA)iii
9.398,1
5.435
4.953,1
6.835,1
4.264
2.670,1
5.706,1
5.284
0.521,1
8.883,1
9.473
0.410,1
tnempoleveD yriaD)vi
1.000,3
5.528
6.471,2
9.920,3
6.291,1
3.738,1
3.569,2
1.247
2.322,2
0.084,2
9.369
1.615,1
seirehsiF)v
1.936,4
5.874,3
6.061,1
3.703,4
5.022,3
8.680,1
9.445,4
3.272,3
6.272,1
4.387,3
4.769,2
0.618
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
5.843,7
0.072,7
5.87
9.222,9
9.351,9
1.96
8.627,8
4.146,8
4.58
5.813,9
8.952,9
6.85
gnisuoheraW
dna egarotS dooF)iiiv
0.355,4
5.520,3
5.725,1
3.913,4
3.887,2
0.135,1
1.423,4
1.197,2
0.335,1
2.734,3
0.823,2
1.901,1
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
4.457,2
8.113,2
7.244
8.396,2
3.133,2
5.263
1.854,2
9.410,2
2.344
1.256,2
8.582,2
3.663
noitarepo-oC)ix
3.872
8.02
5.752
6.673
3.61
3.063
3.382
3.61
0.762
3.464
3.91
0.544
semmargorP
larutlucirgA rehtO)iix
1.151,03
4.787,7
7.363,22
6.834,82
2.692,6
4.241,22
5.315,8
5.467,5
0.947,2
0.704,6
8.658,3
2.055,2
tnempoleveD laruR
.2
6.851,2
β
6.851,2
5.106,1
β
5.106,1
6.850,2
β
6.850,2
8.620,1
0.1-
8.720,1
semmargorP
aerA laicepS
.3
7.781,5
3.209,4
4.582
6.737,4
3.583,4
4.253
5.244,4
1.951,4
4.382
6.715,4
8.272,4
8.442
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
8.538,2
5.497,2
3.14
2.781,2
9.051,2
3.63
2.022,2
9.381,2
3.63
3.593,2
8.073,2
5.42
noitagirrI
muideM dna rojaM
)i
3.000,2
2.678,1
1.421
4.838,1
4.246,1
1.691
5.497,1
4.766,1
1.721
6.246,1
2.205,1
4.041
noitagirrI roniM
)ii
3.822
3.822
β
7.985
7.985
β
0.503
0.503
β
4.893
4.893
β
eganiarD
dna lortnoC doolF
)iii
9.723,1
6.985
3.837
4.176,1
6.660,1
8.406
1.072,1
3.565
8.407
0.752,2
6.529,1
4.133
ygrenE
.5
9.537
9.555
0.081
9.502,1
9.530,1
0.071
6.407
6.435
0.071
3.321,2
3.330,2
0.09
rewoP :hcihw
fo
8.714,4
8.747,1
0.076,2
1.165,4
3.755,1
9.300,3
7.669,3
4.055,1
3.614,2
3.194,3
6.226,1
7.868,1
)iii ot
i( slareniM dna yrtsudnI
.6
0.359,3
3.225,1
7.034,2
8.681,4
1.263,1
7.428,2
0.555,3
1.253,1
0.302,2
7.932,3
5.864,1
2.177,1
seirtsudnI
llamS dna egalliV)i
3.653
5.522
8.031
5.792
2.591
3.201
6.113
3.891
3.311
6.152
1.451
5.79
@seirtsudnI)ii
5.801
β
5.801
9.67
β
9.67
0.001
β
0.001
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
194
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
ALAREK
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
7.779,02
2.676,02
5.103
9.895,22
4.698,12
5.207
4.233,12
6.680,12
9.542
7.205,71
9.566,61
8.638
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
8.798,81
6.177,81
2.621
5.339,02
4.123,02
1.216
6.265,91
4.634,91
2.621
4.323,61
7.255,51
8.077
segdirB dna sdaoR)i
9.970,2
7.409,1
3.571
4.566,1
0.575,1
4.09
8.967,1
2.056,1
7.911
3.971,1
3.311,1
0.66
@@ srehtO)ii
5.897,1
1.205
4.692,1
6.635,1
3.464
4.270,1
4.627,1
7.664
7.952,1
2.121,1
6.004
6.027
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
5.872,7
4.335,2
1.547,4
8.076,5
2.091,2
7.084,3
7.949,5
7.152,2
0.896,3
9.730,4
5.557,1
4.282,2
)vi
ot
i( secivreS
cimonocE lareneG
.9
0.024,3
4.386
6.637,2
8.376,2
0.965
9.401,2
3.847,2
0.206
3.641,2
3.581,1
9.143
4.348
secivreS
cimonocE
- tairaterceS)i
7.241,2
9.256
8.984,1
2.093,1
4.195
8.897
2.084,1
9.585
3.498
7.834,1
8.994
9.839
msiruoT)ii
3.803
8.602
5.101
0.333
2.071
9.261
6.773
6.571
0.202
8.851
2.151
5.7
seilppuS liviC)iii
5.704,1
3.099
2.714
7.372,1
6.958
2.414
6.343,1
2.888
4.554
1.552,1
6.267
6.294
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
9.612,263
2.494,063
7.227,1
2.621,103
6.414,992
7.117,1
4.345,003
0.160,992
4.284,1
9.050,662
4.487,462
5.662,1
)F ot A( )secivreS
lareneG(
5.749,8
3.478,8
2.37
8.000,8
7.759,7
1.34
1.746,7
0.495,7
1.35
7.701,6
7.780,6
0.02
etatS fo
snagrO
.A
2.233,41
7.599,31
5.633
8.905,21
8.032,21
0.972
1.167,21
6.934,21
5.123
4.564,01
1.443,01
3.121
)ii + i( secivreS
lacsiF
.B
5.042,31
0.409,21
5.633
7.381,11
7.409,01
0.972
3.286,11
8.063,11
5.123
3.803,9
0.781,9
3.121
seituD
dna sexaT fo noitcelloC)i
7.190,1
7.190,1
β
1.623,1
1.623,1
β
8.870,1
8.870,1
β
1.751,1
1.751,1
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
0.125,901
0.125,901
β
1.553,59
1.553,59
β
5.189,59
5.189,59
β
8.356,28
8.356,28
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
β
β
β
β
β
β
β
β
β
β
β
β
tbeD fo ecnadiovA
0.125,901
0.125,901
β
1.553,59
1.553,59
β
5.189,59
5.189,59
β
8.356,28
8.356,28
β
)vi
ot i( stnemyaP tseretnI
.2
7.486,3
7.486,3
β
7.577,3
7.577,3
β
4.288,3
4.288,3
β
1.318,3
1.318,3
β
ertneC
eht morf
snaoL no tseretnI)i
5.213,18
5.213,18
β
9.982,96
9.982,96
β
6.453,07
6.453,07
β
4.618,75
4.618,75
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
4.091,66
4.091,66
β
5.188,35
5.188,35
β
7.435,45
7.435,45
β
6.533,24
6.533,24
β
snaoL
tekraM
no tseretnI )a(
7.883,01
7.883,01
β
3.368,01
3.368,01
β
9.185,01
9.185,01
β
0.519,01
0.519,01
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
8.325,42
8.325,42
β
5.982,22
5.982,22
β
4.447,12
4.447,12
β
4.420,12
4.420,12
β
.cte
,sdnuF tnedivorP
β
β
β
β
β
β
β
β
β
β
β
β
srehtO)vi
6.182,74
6.869,54
0.313,1
5.679,83
9.685,73
6.983,1
7.143,04
9.332,93
8.701,1
4.924,33
2.403,23
3.521,1
)v ot
i( secivreS evitartsinimdA
.D
8.222,2
8.222,2
β
4.909,1
4.909,1
β
5.959,1
5.959,1
β
5.917,1
5.917,1
β
secivreS
lareneG - tairaterceS)i
3.975,3
3.544,3
0.431
6.961,3
8.548,2
8.323
7.621,3
2.859,2
5.861
0.506,2
3.644,2
7.851
noitartsinimdA tcirtsiD)ii
4.681,03
4.616,92
0.075
2.028,42
7.882,42
5.135
0.785,52
0.201,52
0.584
4.407,02
5.962,02
9.434
eciloP)iii
7.621,2
7.621,2
β
2.856,1
2.856,1
β
3.065,1
3.065,1
β
3.573,1
3.573,1
β
skroW cilbuP)vi
5.661,9
5.755,8
0.906
1.914,7
8.488,6
3.435
1.801,8
8.356,7
3.454
2.520,7
6.394,6
7.135
++ srehtO)v
3.917,131
3.917,131
β
2.741,511
2.741,511
β
4.107,311
4.107,311
β
7.217,99
7.217,99
β
snoisneP
.E
4.514,05
4.514,05
β
7.631,13
7.631,13
β
8.011,03
8.011,03
β
8.186,33
8.186,33
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
8.041,04
8.041,04
β
1.309,92
1.309,92
β
8.398,92
8.398,92
β
6.620,23
6.620,23
β
seirettoL
etatS fo tnuocca no
tnemyaP
5.039,46
5.039,46
β
2.057,46
2.057,46
β
5.173,26
5.173,26
β
7.417,94
7.417,94
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
5.039,46
5.039,46
β
2.057,46
2.057,46
β
5.173,26
5.173,26
β
7.417,94
7.417,94
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
195
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
HSEDARP
AYHDAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.943,880,1
6.950,186
6.982,704
0.694,289
0.297,816
0.407,363
1.831,099
0.956,916
1.974,073
6.796,896
9.434,405
7.262,491
)III+II+I( ERUTIDNEPXE
LATOT
3.979,307
8.132,923
4.747,473
7.966,796
9.318,543
8.558,153
0.788,896
8.951,043
3.727,853
5.593,744
7.468,162
7.035,581
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
7.071,234
4.699,402
4.471,722
3.701,304
2.356,202
1.454,002
9.429,024
6.466,312
3.062,702
1.286,772
3.856,451
8.320,321
)21 ot 1( secivreS
laicoS
.A
5.704,802
8.950,531
8.743,37
2.761,281
3.572,811
9.198,36
8.057,291
5.299,521
2.857,66
3.179,631
4.683,101
9.485,53
erutluC dna
trA ,stropS ,noitacudE
.1
0.180,35
3.311,33
7.769,91
7.798,74
3.078,92
4.720,81
5.354,25
8.081,43
7.272,81
9.829,82
6.381,32
3.547,5
htlaeH
cilbuP dna lacideM
.2
0.334,4
β
0.334,4
5.633,4
β
5.633,4
8.049,5
β
8.049,5
1.709,3
5.12
6.588,3
erafleW ylimaF
.3
7.975,51
3.916,6
4.069,8
2.446,41
6.392,6
6.053,8
2.746,71
6.692,6
6.053,11
1.250,9
9.901,5
2.249,3
noitatinaS
dna ylppuS retaW
.4
9.077,21
6.624,2
3.443,01
8.876,21
2.957,1
6.919,01
7.782,01
1.562,1
6.220,9
0.084,3
8.922,1
2.052,2
gnisuoH
.5
1.820,71
2.424
8.306,61
4.075,52
5.883,7
9.181,81
8.926,32
5.883,7
2.142,61
4.288,51
7.398,2
7.889,21
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
1.577,93
2.222,5
9.255,43
0.881,53
9.921,5
1.850,03
7.326,43
5.222,5
2.104,92
7.951,42
8.803,3
9.058,02
sessalC drawkcaB
8.343,4
6.591,2
2.841,2
8.428,3
8.720,2
9.697,1
4.686,3
7.709,1
7.877,1
3.612,2
7.346,1
6.275
erafleW
ruobaL dna ruobaL
.8
9.067,44
6.829,1
3.238,24
5.314,33
7.856,1
8.457,13
7.289,63
8.189,1
9.000,53
2.619,72
7.046,1
5.572,62
erafleW
dna ytiruceS laicoS
.9
2.298,31
3.13
9.068,31
0.740,31
6.82
4.810,31
4.504,31
1.03
3.573,31
2.348,01
9.42
3.818,01
noitirtuN
.01
0.084,41
0.084,41
β
5.980,72
5.980,72
β
1.022,62
1.022,62
β
1.224,11
1.224,11
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
6.816,3
6.594,3
0.321
8.942,3
8.131,3
0.811
8.692,3
8.871,3
0.811
7.209,2
1.397,2
6.901
*srehtO
.21
5.808,172
4.532,421
1.375,741
4.265,492
7.061,341
7.104,151
2.269,772
2.594,621
0.764,151
4.317,961
4.602,701
9.605,26
)9 ot 1( secivreS cimonocE
.B
1.728,48
9.197,63
2.530,84
3.327,89
9.630,74
5.686,15
7.572,99
8.015,54
9.467,35
5.931,26
6.511,83
9.320,42
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
4.608,03
6.072,5
8.535,52
0.959,33
2.526,4
8.333,92
1.585,53
4.256,4
7.239,03
4.786,21
8.597,3
6.198,8
yrdnabsuH porC)i
1.297
0.226
0.071
2.138
1.276
2.951
5.538
8.576
7.951
0.846
5.325
5.421
noitavresnoC
retaW dna lioS)ii
6.262,8
7.111,5
9.051,3
2.950,8
4.628,4
8.232,3
6.054,8
5.452,5
1.691,3
3.040,6
4.389,3
9.650,2
yrdnabsuH laminA)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD)vi
9.608
7.534
2.173
7.767
0.873
8.983
4.578
8.284
6.293
4.775
6.492
8.282
seirehsiF)v
3.498,42
3.992,31
0.595,11
6.182,42
0.082,31
6.100,11
2.703,52
3.956,31
8.746,11
5.409,81
2.838,01
3.660,8
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
6.777,11
3.474,01
3.303,1
7.523,32
7.055,12
0.577,1
5.236,02
4.000,91
1.236,1
5.334,71
3.681,71
2.742
gnisuoheraW
dna egarotS dooF)iiiv
9.605,1
4.484
5.220,1
8.426,1
2.966
6.559
7.126,1
1.176
6.059
1.083,1
2.866
9.117
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
2.089,5
8.390,1
4.688,4
0.478,5
3.530,1
7.838,4
8.769,5
4.411,1
3.358,4
2.864,4
5.528
7.246,3
noitarepo-oC)ix
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
larutlucirgA rehtO)iix
2.761,18
8.248,3
4.423,77
7.810,69
0.241,61
8.678,97
0.578,49
6.163,61
5.315,87
6.550,43
1.142,11
5.418,22
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
aerA laicepS
.3
7.401,7
0.828,6
7.672
2.219,7
0.218,6
2.001,1
5.242,8
9.551,7
6.680,1
7.928,7
3.225,5
4.703,2
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
0.125,5
0.125,5
β
2.983,6
3.845,5
9.048
3.156,6
4.128,5
9.928
9.195,6
4.534,4
5.651,2
noitagirrI
muideM dna rojaM
)i
4.764,1
0.703,1
4.061
6.204,1
7.362,1
9.831
4.374,1
5.433,1
9.831
8.002,1
0.780,1
8.311
noitagirrI roniM
)ii
3.611
β
3.611
3.021
β
3.021
8.711
β
8.711
1.73
β
1.73
eganiarD
dna lortnoC doolF
)iii
4.609,65
1.153,25
3.555,4
5.134,15
4.486,64
2.747,4
6.572,93
7.284,43
9.297,4
8.404,33
0.954,72
7.549,5
ygrenE
.5
4.146,65
2.713,25
2.423,4
4.572,15
7.256,64
7.226,4
9.028,83
0.054,43
9.073,4
1.569,23
2.544,72
9.915,5
rewoP :hcihw
fo
1.694,42
3.600,11
8.984,31
4.307,02
9.413,11
5.883,9
0.700,71
7.689,8
3.020,8
1.396,41
3.649,9
8.647,4
)iii ot
i( slareniM dna yrtsudnI
.6
3.202,4
4.581,1
9.610,3
8.370,4
0.050,1
8.320,3
0.822,4
1.751,1
9.070,3
0.478,2
8.718
2.650,2
seirtsudnI
llamS dna egalliV)i
8.392,02
0.128,9
8.274,01
6.926,61
9.462,01
7.463,6
1.977,21
7.928,7
4.949,4
1.918,11
5.821,9
6.096,2
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
196
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
HSEDARP
AYHDAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.771,21
5.771,21
β
8.069,31
8.559,31
0.5
6.356,21
6.846,21
0.5
1.221,41
8.511,41
4.6
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
0.571,21
0.571,21
β
3.359,31
3.359,31
β
1.646,21
1.646,21
β
8.911,41
8.311,41
0.6
segdirB dna sdaoR)i
5.2
5.2
β
5.7
5.2
0.5
5.7
5.2
0.5
3.2
0.2
4.0
@@ srehtO)ii
0.751,2
3.98
7.760,2
0.508,1
6.97
5.527,1
6.118,1
6.97
0.237,1
1.602,1
3.66
8.931,1
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
7.279,2
7.841,1
0.428,1
4.700,4
1.531,1
2.278,2
1.128,4
4.962,1
7.155,3
5.262,2
0.047
5.225,1
)vi
ot
i( secivreS
cimonocE lareneG
.9
5.604
3.423
2.28
9.785
9.462
0.323
7.257
7.553
0.793
2.562
7.322
4.14
secivreS
cimonocE
- tairaterceS)i
7.218
2.5
5.708
6.538
6.4
0.138
3.368
8.7
5.558
4.427
7.3
7.027
msiruoT)ii
7.005,1
1.885
6.219
3.853,2
1.866
2.096,1
9.949,2
8.076
2.972,2
9.021,1
4.663
5.457
seilppuS liviC)iii
7.252
0.132
7.12
6.522
6.791
0.82
1.552
1.532
0.02
0.251
1.641
9.5
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
5.162,623
4.914,303
1.248,22
1.769,332
1.306,132
0.463,2
6.534,242
0.003,832
6.531,4
3.909,502
6.397,402
7.511,1
)F ot A( )secivreS
lareneG(
1.938,9
6.667,9
5.27
5.818,41
0.647,41
5.27
1.061,51
6.780,51
5.27
4.773,8
0.133,8
4.64
etatS fo
snagrO
.A
4.829,03
8.956,03
7.862
7.522,92
0.318,82
7.214
0.872,03
9.428,92
1.354
8.638,52
1.066,52
7.671
)ii + i( secivreS
lacsiF
.B
8.798,03
1.926,03
7.862
2.591,92
5.287,82
7.214
7.542,03
6.297,92
1.354
5.518,52
9.836,52
7.671
seituD
dna sexaT fo noitcelloC)i
6.03
6.03
β
5.03
5.03
β
3.23
3.23
β
2.12
2.12
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
2.775,08
2.775,08
β
7.847,86
7.847,86
β
8.492,96
8.492,96
β
2.319,36
2.319,36
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
β
β
β
β
β
β
β
β
β
β
β
β
tbeD fo ecnadiovA
2.775,08
2.775,08
β
7.847,86
7.847,86
β
8.492,96
8.492,96
β
2.319,36
2.319,36
β
)vi
ot i( stnemyaP tseretnI
.2
0.142,7
0.142,7
β
1.892,7
1.892,7
β
1.892,7
1.892,7
β
7.773,6
7.773,6
β
ertneC
eht morf
snaoL no tseretnI)i
3.244,26
3.244,26
β
0.015,25
0.015,25
β
0.653,25
0.653,25
β
3.716,64
3.716,64
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
6.316,63
6.316,63
β
2.612,03
2.612,03
β
3.250,92
3.250,92
β
2.797,52
2.797,52
β
snaoL
tekraM
no tseretnI )a(
0.000,81
0.000,81
β
0.005,61
0.005,61
β
0.005,71
0.005,71
β
1.093,61
1.093,61
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
8.868,8
8.868,8
β
7.627,7
7.627,7
β
7.627,7
7.627,7
β
5.064,8
5.064,8
β
.cte
,sdnuF tnedivorP
2.520,2
2.520,2
β
9.312,1
9.312,1
β
9.319,1
9.319,1
β
8.754,2
8.754,2
β
srehtO)vi
6.369,121
6.264,99
9.005,22
8.665,75
9.786,55
9.878,1
0.039,36
0.023,06
9.906,3
3.633,84
7.344,74
6.298
)v ot
i( secivreS evitartsinimdA
.D
6.769,1
1.005,1
5.764
6.765,1
6.003,1
0.762
6.500,2
6.626,1
0.973
8.634,1
1.312,1
7.322
secivreS
lareneG - tairaterceS)i
7.810,7
7.761,6
1.158
3.257,5
5.255,5
8.991
2.411,6
5.518,5
7.892
0.781,4
3.241,4
8.44
noitartsinimdA tcirtsiD)ii
3.008,74
5.619,14
8.388,5
5.787,73
3.795,63
2.091,1
2.469,24
1.823,04
1.636,2
4.409,23
1.953,23
3.545
eciloP)iii
2.305,5
5.184,5
7.12
1.498,4
1.498,4
β
6.636,4
7.616,4
9.91
7.336,3
7.336,3
β
skroW cilbuP)vi
7.376,95
9.693,44
9.672,51
2.565,7
4.343,7
8.122
4.902,8
1.339,7
2.672
3.471,6
5.590,6
8.87
++ srehtO)v
7.116,28
7.116,28
β
3.343,36
3.343,36
β
3.343,36
3.343,36
β
4.713,95
4.713,95
β
snoisneP
.E
5.143
5.143
β
1.462
1.462
β
4.924
4.924
β
2.821
2.821
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
4.801,85
4.804,84
1.007,9
2.958,05
1.573,14
2.484,9
5.518,84
2.991,14
3.616,7
9.293,54
6.677,73
3.616,7
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
4.801,85
4.804,84
1.007,9
2.958,05
1.573,14
2.484,9
5.518,84
2.991,14
3.616,7
9.293,54
6.677,73
3.616,7
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
197
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
ARTHSARAHAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.978,910,2
5.980,545,1
5.987,474
1.377,649,1
2.638,045,1
9.639,504
8.232,448,1
7.935,314,1
1.396,034
2.420,945,1
8.659,982,1
4.760,952
)III+II+I( ERUTIDNEPXE
LATOT
0.277,752,1
8.132,987
2.045,864
6.144,382,1
3.956,588
3.287,793
4.133,891,1
9.551,377
5.571,524
0.407,889
0.255,537
0.251,352
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
0.144,948
6.902,085
3.132,962
0.507,278
6.489,316
4.027,852
4.448,177
1.455,625
3.092,542
8.097,807
6.712,145
2.375,761
)21 ot 1( secivreS
laicoS
.A
7.259,454
3.794,514
4.554,93
2.309,414
9.757,183
3.541,33
1.797,214
9.015,773
2.682,53
1.873,283
8.156,363
3.627,81
erutluC dna
trA ,stropS ,noitacudE
.1
8.051,49
5.913,45
3.138,93
8.132,69
8.781,05
1.440,64
1.675,98
5.855,94
6.710,04
4.079,16
7.348,44
7.621,71
htlaeH
cilbuP dna lacideM
.2
8.647
9.327
0.32
6.148,6
0.946
6.291,6
5.258,6
1.556
4.791,6
1.981,6
4.645
7.246,5
erafleW ylimaF
.3
7.174,04
8.731,2
9.333,83
6.980,62
0.189,1
5.801,42
8.913,61
7.000,2
1.913,41
5.383,01
2.317,1
3.076,8
noitatinaS
dna ylppuS retaW
.4
9.367,11
2.556,3
7.801,8
6.708,91
5.169,3
1.648,51
0.130,91
8.027,3
2.013,51
0.831,51
5.604,4
5.137,01
gnisuoH
.5
0.616,85
9.997,42
2.618,33
7.976,16
8.085,72
9.890,43
5.355,05
7.708,12
7.547,82
6.399,34
0.604,51
6.785,82
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
8.334,201
5.920,23
3.404,07
1.262,09
5.754,43
6.408,55
2.907,49
8.350,03
5.556,46
8.315,97
6.016,13
2.309,74
sessalC drawkcaB
4.071,01
8.516,6
6.455,3
9.819,01
3.643,6
7.275,4
7.765,01
2.112,6
5.653,4
0.476,7
4.628,5
7.748,1
erafleW
ruobaL dna ruobaL
.8
9.640,73
2.039,72
7.611,9
3.072,43
8.017,32
5.955,01
5.814,03
3.721,02
2.192,01
7.024,92
1.515,12
6.509,7
erafleW
dna ytiruceS laicoS
.9
9.781,03
7.798,4
3.092,52
0.815,13
4.953,5
6.851,62
3.670,03
4.953,5
9.617,42
9.066,42
6.107,4
3.959,91
noitirtuN
.01
8.452,6
8.000,6
9.352
0.680,77
6.955,67
5.625
8.536,8
8.040,8
0.595
5.478,54
9.917,54
6.451
seitimalaC
larutaN
fo tnuocca no feileR
.11
1.546,2
0.206,1
1.340,1
1.690,3
9.234,1
2.366,1
9.603,2
9.705,1
0.997
0.495,1
4.672,1
6.713
*srehtO
.21
0.133,804
2.220,902
8.803,991
6.637,014
7.476,172
8.160,931
0.784,624
8.106,642
2.588,971
2.319,972
4.433,491
8.875,58
)9 ot 1( secivreS cimonocE
.B
9.041,68
3.716,55
6.325,03
6.487,49
6.946,94
0.531,54
8.930,68
5.082,25
3.957,33
3.212,87
5.114,05
8.008,72
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
0.192,03
7.565,31
3.527,61
5.951,24
3.235,11
2.726,03
4.491,33
9.465,11
5.926,12
9.401,92
7.305,11
1.106,71
yrdnabsuH porC)i
3.624
5.591
8.032
9.774
8.371
1.403
5.155
0.871
5.373
9.673
8.251
1.422
noitavresnoC
retaW dna lioS)ii
0.085,01
4.098,6
6.986,3
0.268,9
3.654,6
6.504,3
6.996,9
8.282,6
7.614,3
6.566,8
4.418,5
2.158,2
yrdnabsuH laminA)iii
5.286,3
8.716,3
7.46
7.676,3
5.716,3
1.95
7.284,5
4.483,5
3.89
6.323,6
2.492,6
4.92
tnempoleveD yriaD)vi
7.121,1
2.110,1
5.011
6.111,1
8.020,1
9.09
2.601,1
9.599
3.011
7.033,1
6.042,1
1.09
seirehsiF)v
4.639,81
0.958,21
4.770,6
4.687,61
9.980,21
4.696,4
2.088,61
9.728,21
3.250,4
8.471,41
9.378,01
9.003,3
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
0.973,2
7.673,2
3.2
5.612,2
2.412,2
3.2
6.891,2
3.691,2
3.2
1.621,2
8.321,2
3.2
gnisuoheraW
dna egarotS dooF)iiiv
6.638,7
6.636,7
0.002
8.085,7
2.272,7
6.803
4.284,7
9.413,7
5.761
9.157,6
9.384,6
0.862
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
6.430,01
4.464,7
2.075,2
8.137,8
6.272,5
2.954,3
3.166,8
3.535,5
0.621,3
7.074,8
2.429,5
5.645,2
noitarepo-oC)ix
8.258
β
8.258
6.181,2
β
6.181,2
8.287
β
8.287
1.788
β
1.788
semmargorP
larutlucirgA rehtO)iix
4.722,821
3.872,61
1.949,111
7.164,37
8.623,62
9.431,74
7.953,421
4.791,81
3.261,601
8.992,13
1.031,9
7.961,22
tnempoleveD laruR
.2
0.25
2.8
8.34
7.544
3.7
4.834
7.544
3.7
4.834
5.333
0.5
6.823
semmargorP
aerA laicepS
.3
8.774,82
7.832,12
1.932,7
4.678,62
6.721,12
8.847,5
1.899,52
1.813,02
0.086,5
0.814,72
2.872,12
9.931,6
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
5.656,61
2.094,61
2.661
1.752,71
2.275,61
8.486
9.262,61
6.646,51
3.616
9.714,91
8.542,71
1.271,2
noitagirrI
muideM dna rojaM
)i
7.392,11
3.162,4
3.230,7
1.689,8
0.041,4
1.648,4
0.510,9
6.612,4
4.897,4
9.463,7
3.056,3
7.417,3
noitagirrI roniM
)ii
0.802
7.071
2.73
9.063
6.741
4.312
4.814
4.751
1.162
4.583
6.631
9.842
eganiarD
dna lortnoC doolF
)iii
6.060,36
3.220,05
2.830,31
4.672,901
7.983,501
7.688,3
0.171,49
9.424,09
2.647,3
2.162,75
5.917,35
8.145,3
ygrenE
.5
5.768,16
3.220,05
1.548,11
2.683,801
7.983,501
5.699,2
0.391,39
9.424,09
1.867,2
2.581,65
7.717,35
5.764,2
rewoP :hcihw
fo
3.691,73
8.285,53
5.316,1
9.749,92
4.234,82
6.515,1
0.670,03
1.983,82
8.686,1
6.584,52
6.336,42
0.258
)iii ot
i( slareniM dna yrtsudnI
.6
9.344,2
4.358
5.095,1
5.713,2
3.428
2.394,1
5.134,2
3.767
2.466,1
6.945,1
5.907
1.048
seirtsudnI
llamS dna egalliV)i
4.257,43
4.927,43
0.32
4.036,72
1.806,72
3.22
4.446,72
8.126,72
6.22
1.639,32
1.429,32
0.21
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
198
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
ARTHSARAHAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
6.524,64
0.835,72
7.788,81
7.458,06
3.062,83
4.495,22
6.296,25
4.634,43
2.652,81
6.092,74
4.012,33
2.080,41
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
6.390,34
4.125,72
2.275,51
8.224,65
0.442,83
7.871,81
5.044,84
5.714,43
0.320,41
0.600,34
0.891,33
0.808,9
segdirB dna sdaoR)i
1.233,3
6.61
5.513,3
9.134,4
3.61
6.514,4
1.252,4
9.81
2.332,4
6.482,4
4.21
2.272,4
@@ srehtO)ii
4.169
8.0
6.069
4.577
8.0
6.477
0.118
8.0
2.018
3.738
6.0
7.638
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
1.987,71
9.537,2
2.350,51
7.313,41
1.084,2
5.338,11
0.398,11
2.745,2
8.543,9
8.477,11
7.549,1
1.928,9
)vi
ot
i( secivreS
cimonocE lareneG
.9
5.297,21
1.129,1
5.178,01
5.881,7
5.386,1
0.505,5
9.036,7
4.237,1
5.898,5
1.464,6
4.293,1
7.170,5
secivreS
cimonocE
- tairaterceS)i
1.150,4
4.0
7.050,4
9.652,3
3.0
6.652,3
2.443,3
4.0
8.343,3
4.803,4
3.0
0.803,4
msiruoT)ii
β
β
β
β
β
β
β
β
β
β
β
β
seilppuS liviC)iii
5.549
4.418
0.131
2.868,3
3.697
9.170,3
9.719
4.418
5.301
3.200,1
0.355
3.944
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
3.828,837
9.677,337
4.150,5
9.250,636
9.191,926
9.068,6
9.686,426
9.614,026
0.072,4
7.297,935
9.169,435
8.038,4
)F ot A( )secivreS
lareneG(
8.058,91
8.746,91
0.302
2.974,82
9.743,82
3.131
9.780,52
9.219,42
0.571
5.543,41
3.703,41
2.83
etatS fo
snagrO
.A
9.247,72
2.007,62
6.240,1
5.429,03
9.078,92
5.350,1
3.354,92
4.354,82
0.000,1
3.057,52
6.402,52
6.545
)ii + i( secivreS
lacsiF
.B
7.496,72
0.256,62
6.240,1
5.688,03
0.338,92
5.350,1
2.904,92
2.904,82
0.000,1
3.117,52
6.561,52
6.545
seituD
dna sexaT fo noitcelloC)i
2.84
2.84
β
0.83
0.83
β
1.44
1.44
β
0.93
0.93
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
6.528,892
6.528,892
β
5.237,162
5.237,162
β
9.649,652
9.649,652
β
4.099,722
4.099,722
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
0.002,22
0.002,22
β
0.009,81
0.009,81
β
0.009,81
0.009,81
β
0.029,51
0.029,51
β
tbeD fo ecnadiovA
6.526,672
6.526,672
β
5.238,242
5.238,242
β
9.640,832
9.640,832
β
4.070,212
4.070,212
β
)vi
ot i( stnemyaP tseretnI
.2
6.138,5
6.138,5
β
7.353,5
7.353,5
β
8.618,5
8.618,5
β
0.027,5
0.027,5
β
ertneC
eht morf
snaoL no tseretnI)i
5.326,912
5.326,912
β
1.414,091
1.414,091
β
6.951,581
6.951,581
β
4.997,661
4.997,661
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
6.282,341
6.282,341
β
8.982,011
8.982,011
β
3.501,701
3.501,701
β
8.169,88
8.169,88
β
snaoL
tekraM
no tseretnI )a(
3.996,07
3.996,07
β
2.804,47
2.804,47
β
0.157,17
0.157,17
β
3.771,27
3.771,27
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
9.661,54
9.661,54
β
5.855,24
5.855,24
β
0.412,24
0.412,24
β
9.780,63
9.780,63
β
.cte
,sdnuF tnedivorP
5.300,6
5.300,6
β
3.605,4
3.605,4
β
4.658,4
4.658,4
β
1.364,3
1.364,3
β
srehtO)vi
3.883,702
5.285,302
8.508,3
4.217,861
3.140,361
1.176,5
0.294,661
9.693,361
1.590,3
5.180,041
2.528,631
3.652,3
)v ot
i( secivreS evitartsinimdA
.D
2.930,3
0.918,2
2.022
6.079,2
2.513,2
4.556
0.517,2
2.425,2
9.091
2.764,2
6.650,2
5.014
secivreS
lareneG - tairaterceS)i
3.194,74
3.304,54
0.880,2
6.024,34
6.040,04
0.083,3
4.039,93
5.856,83
9.172,1
4.760,73
5.801,53
9.859,1
noitartsinimdA tcirtsiD)ii
1.087,311
6.088,211
5.998
1.455,99
9.638,89
2.717
6.994,89
6.096,79
0.908
9.147,08
7.891,08
2.345
eciloP)iii
1.641,61
3.839,51
8.702
1.568,21
8.496,21
3.071
1.259,41
5.167,41
7.091
3.641,21
3.849,11
0.891
skroW cilbuP)vi
5.139,62
2.145,62
3.093
9.109,9
7.351,9
2.847
8.493,01
2.267,9
6.236
7.856,7
1.315,7
7.541
++ srehtO)v
3.549,461
3.549,461
β
9.886,441
9.886,441
β
9.886,441
9.886,441
β
9.677,921
9.677,921
β
snoisneP
.E
4.570,02
4.570,02
β
3.515,1
3.015,1
0.5
9.710,2
9.710,2
β
0.848,1
3.758
7.099
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
3.402,1
3.402,1
β
9.453,1
9.453,1
β
1.853,1
1.853,1
β
6.127
6.127
β
seirettoL
etatS fo tnuocca no
tnemyaP
7.872,32
8.080,22
9.791,1
6.872,72
9.489,52
7.392,1
5.412,12
0.769,91
5.742,1
5.725,02
9.244,91
6.480,1
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
7.872,32
8.080,22
9.791,1
6.872,72
9.489,52
7.392,1
5.412,12
0.769,91
5.742,1
9.023,32
3.632,22
6.480,1
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
199
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
RUPINAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
8.056,97
6.574,05
2.571,92
3.109,98
2.407,25
1.791,73
2.672,67
0.887,84
2.884,72
3.881,75
9.850,54
4.921,21
)III+II+I( ERUTIDNEPXE
LATOT
5.614,74
8.028,91
6.595,72
6.240,65
8.625,02
8.515,53
5.953,54
3.540,91
2.413,62
6.224,92
0.862,81
6.451,11
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
7.848,22
7.959,01
0.988,11
4.523,72
2.724,11
2.898,51
7.885,81
6.573,11
0.312,7
5.630,61
4.798,9
1.931,6
)21 ot 1( secivreS
laicoS
.A
9.493,21
3.588,7
6.905,4
1.141,51
4.336,7
7.705,7
5.529,01
1.428,7
4.101,3
7.097,8
8.697,6
9.399,1
erutluC dna
trA ,stropS ,noitacudE
.1
3.424,4
0.820,2
3.693,2
3.924,4
9.800,2
4.024,2
4.718,2
2.449,1
3.378
0.377,2
5.747,1
5.520,1
htlaeH
cilbuP dna lacideM
.2
7.012
β
7.012
7.012
β
7.012
1.102
β
1.102
6.981
β
6.981
erafleW ylimaF
.3
9.335
0.2
9.135
4.726
0.526
4.2
5.865
4.665
2.2
3.885
7.685
6.1
noitatinaS
dna ylppuS retaW
.4
9.501
9.501
β
9.501
9.501
β
9.501
9.501
β
0.96
0.96
β
gnisuoH
.5
7.074
9.023
8.941
9.445
0.513
8.922
6.834
4.792
2.141
1.863
6.911
5.842
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
8.174,1
3.421
5.743,1
5.960,2
1.121
3.849,1
4.135,1
2.021
2.114,1
2.223,1
6.801
6.312,1
sessalC drawkcaB
7.461
9.111
8.25
3.061
5.701
8.25
6.941
6.711
0.23
1.041
9.301
2.63
erafleW
ruobaL dna ruobaL
.8
3.544,2
7.013
6.431,2
1.265,2
5.853
6.302,2
3.660,1
2.323
1.347
2.666,1
0.772
2.983,1
erafleW
dna ytiruceS laicoS
.9
7.735
7.2
9.435
3.982,1
6.2
7.682,1
8.986
6.2
2.786
4.92
4.2
0.72
noitirtuN
.01
6.91
2.31
4.6
1.49
1.27
0.22
3.72
4.02
9.6
0.55
2.05
8.4
seitimalaC
larutaN
fo tnuocca no feileR
.11
2.96
7.45
5.41
0.19
2.77
8.31
2.76
7.35
5.31
0.54
9.53
1.9
*srehtO
.21
8.765,42
2.168,8
6.607,51
1.717,82
6.990,9
6.716,91
8.077,62
7.966,7
2.101,91
1.683,31
6.073,8
5.510,5
)9 ot 1( secivreS cimonocE
.B
4.169,4
6.973,2
8.185,2
9.193,5
5.687,2
4.506,2
7.528,4
5.328,2
2.200,2
3.474,3
2.692,2
1.871,1
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
8.316,1
4.215
5.101,1
4.430,2
2.094
2.445,1
2.425,1
9.325
4.000,1
0.570,1
5.654
5.816
yrdnabsuH porC)i
8.605
1.261
7.443
6.123
4.451
3.761
6.582
2.361
4.221
7.704
3.631
4.172
noitavresnoC
retaW dna lioS)ii
0.219
6.028
4.19
4.469
9.687
5.771
4.868
1.538
3.33
3.875
1.415
2.46
yrdnabsuH laminA)iii
2.62
7.32
5.2
4.401
6.22
8.18
3.82
8.52
5.2
0.31
0.11
0.2
tnempoleveD yriaD)vi
4.062
4.002
0.06
5.772
9.002
5.67
6.592
5.912
1.67
4.462
9.691
5.76
seirehsiF)v
8.892,1
7.253
1.649
7.421,1
7.138
1.392
7.864,1
6.537
1.337
3.397
7.286
6.011
efiL
dliW dna yrtseroF
)iv
8.0
β
8.0
6.0
β
6.0
6.0
β
6.0
6.0
β
6.0
snoitatnalP)iiv
7.241
3.131
4.11
8.631
4.521
4.11
9.841
5.731
4.11
0.841
0.631
0.21
gnisuoheraW
dna egarotS dooF)iiiv
9.62
7.12
2.5
6.832
6.02
1.812
5.82
9.22
5.5
7.73
8.91
9.71
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
4.271
9.451
5.71
1.881
9.351
2.43
1.671
0.061
1.61
0.651
0.341
0.31
noitarepo-oC)ix
8.0
β
8.0
8.0
β
8.0
8.0
β
8.0
4.0
β
4.0
semmargorP
larutlucirgA rehtO)iix
0.909,6
8.057
2.851,6
7.032,11
1.405
6.627,01
4.478,7
1.405
3.073,7
0.555,1
2.824
8.621,1
tnempoleveD laruR
.2
3.973,1
β
3.973,1
5.220,1
β
5.220,1
1.720,1
β
1.720,1
8.037
β
8.037
semmargorP
aerA laicepS
.3
1.589
8.775
4.704
1.699
7.455
4.144
7.848
8.275
9.572
4.297
4.864
9.323
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
8.774
8.232
0.542
1.825
1.322
0.503
4.963
4.922
0.041
5.673
1.381
4.391
noitagirrI
muideM dna rojaM
)i
1.911
7.611
4.2
6.411
7.111
9.2
0.611
1.511
9.0
2.89
6.79
6.0
noitagirrI roniM
)ii
3.681
3.681
β
0.871
0.871
β
4.681
4.681
β
9.151
9.151
β
eganiarD
dna lortnoC doolF
)iii
4.028,4
4.651,3
0.466,1
8.537,4
4.710,3
4.817,1
5.464,2
5.215,1
0.259
3.642,3
3.112,3
0.53
ygrenE
.5
4.097,4
4.651,3
0.436,1
8.507,4
4.710,3
4.886,1
5.434,2
5.215,1
0.229
3.112,3
3.112,3
β
rewoP :hcihw
fo
2.490,1
8.915
4.475
8.135,1
4.715
4.410,1
6.580,1
4.345
2.245
8.249
9.544
0.794
)iii ot
i( slareniM dna yrtsudnI
.6
1.099
7.184
5.805
3.634,1
1.184
2.559
5.020,1
3.594
2.525
3.609
2.514
1.194
seirtsudnI
llamS dna egalliV)i
0.401
1.83
9.56
5.59
3.63
2.95
1.56
1.84
0.71
5.63
6.03
8.5
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
200
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
RUPINAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
7.741,1
7.741,1
β
7.183,1
7.183,1
β
7.183,1
7.183,1
β
7.042,1
7.042,1
β
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
7.741,1
7.741,1
β
7.183,1
7.183,1
β
7.183,1
7.183,1
β
7.042,1
7.042,1
β
segdirB dna sdaoR)i
β
β
β
β
β
β
β
β
β
β
β
β
@@ srehtO)ii
6.184
4.63
2.544
3.277
9.43
4.737
3.432
1.23
2.202
6.534
5.82
0.704
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
2.987,2
8.292
4.694,2
4.456,1
9.203
5.153,1
9.820,7
6.992
3.927,6
4.869
4.152
0.717
)vi
ot
i( secivreS
cimonocE lareneG
.9
7.364,2
9.09
7.273,2
0.943,1
2.09
7.852,1
3.667,6
5.88
8.776,6
1.007
2.37
9.626
secivreS
cimonocE
- tairaterceS)i
2.721
2.23
0.59
4.88
5.13
0.75
6.75
0.53
6.22
6.16
3.23
2.92
msiruoT)ii
β
β
β
β
β
β
β
β
β
β
β
β
seilppuS liviC)iii
4.891
7.961
7.82
9.612
2.181
8.53
9.402
1.671
8.82
7.602
8.541
9.06
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
2.388,82
8.928,82
4.35
3.525,82
0.963,82
3.651
5.401,72
5.550,72
0.94
7.014,42
1.053,42
6.06
)F ot A( )secivreS
lareneG(
3.041,1
3.041,1
β
7.680,1
7.680,1
β
3.089
3.089
β
6.729
6.729
β
etatS fo
snagrO
.A
4.635
4.915
0.71
6.425
6.315
0.11
6.815
6.705
0.11
3.444
3.444
β
)ii + i( secivreS
lacsiF
.B
2.235
2.515
0.71
5.025
5.905
0.11
3.415
3.305
0.11
8.044
8.044
β
seituD
dna sexaT fo noitcelloC)i
2.4
2.4
β
0.4
0.4
β
3.4
3.4
β
5.3
5.3
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
1.020,5
1.020,5
β
8.188,4
8.188,4
β
5.997,4
5.997,4
β
2.257,4
2.257,4
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
7.183
7.183
β
4.943
4.943
β
4.943
4.943
β
0.303
0.303
β
tbeD fo ecnadiovA
4.836,4
4.836,4
β
4.235,4
4.235,4
β
1.054,4
1.054,4
β
2.944,4
2.944,4
β
)vi
ot i( stnemyaP tseretnI
.2
8.043
8.043
β
6.573
6.573
β
7.573
7.573
β
4.014
4.014
β
ertneC
eht morf
snaoL no tseretnI)i
2.001,3
2.001,3
β
4.930,3
4.930,3
β
0.030,3
0.030,3
β
8.649,2
8.649,2
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
9.921,2
9.921,2
β
5.820,2
5.820,2
β
5.820,2
5.820,2
β
6.419,1
6.419,1
β
snaoL
tekraM
no tseretnI )a(
4.696
4.696
β
9.737
9.737
β
0.737
0.737
β
6.508
6.508
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
1.791,1
1.791,1
β
1.711,1
1.711,1
β
2.440,1
2.440,1
β
0.290,1
0.290,1
β
.cte
,sdnuF tnedivorP
2.0
2.0
β
2.0
2.0
β
2.0
2.0
β
β
β
β
srehtO)vi
9.945,21
5.315,21
4.63
5.516,21
2.074,21
3.541
6.012,21
6.271,21
0.83
6.365,01
0.305,01
6.06
)v ot
i( secivreS evitartsinimdA
.D
0.985
0.985
β
9.695
0.395
9.3
0.606
0.606
β
9.274
9.274
β
secivreS
lareneG - tairaterceS)i
4.693
4.693
β
9.873
9.873
β
0.173
0.173
β
3.092
3.092
β
noitartsinimdA tcirtsiD)ii
5.224,01
5.224,01
β
0.954,01
1.893,01
9.06
5.690,01
5.690,01
β
8.238,8
8.238,8
β
eciloP)iii
0.763
0.763
β
9.573
9.573
β
4.263
4.263
β
9.972
9.462
0.51
skroW cilbuP)vi
9.477
5.837
4.63
8.408
3.427
5.08
7.477
7.637
0.83
8.786
2.246
6.54
++ srehtO)v
6.636,9
6.636,9
β
8.704,9
8.704,9
β
2.885,8
2.885,8
β
8.417,7
8.417,7
β
snoisneP
.E
β
β
β
8.8
8.8
β
2.7
2.7
β
2.8
2.8
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
8.8
8.8
β
2.7
2.7
β
2.8
2.8
β
seirettoL
etatS fo tnuocca no
tnemyaP
1.153,3
9.428,1
2.625,1
4.333,5
4.808,3
0.525,1
2.218,3
2.786,2
0.521,1
0.553,3
8.044,2
2.419
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
1.153,3
9.428,1
2.625,1
4.333,5
4.808,3
0.525,1
2.218,3
2.786,2
0.521,1
0.553,3
8.044,2
2.419
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
201
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
AYALAHGEM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
8.412,67
2.048,04
6.473,53
8.720,99
3.939,14
5.880,75
8.720,99
3.939,14
5.880,75
9.515,55
0.820,73
9.784,81
)III+II+I( ERUTIDNEPXE
LATOT
0.632,45
0.491,91
0.240,53
1.411,97
1.414,22
0.007,65
1.411,97
1.414,22
0.007,65
3.231,73
4.018,81
8.123,81
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
3.223,42
0.938,11
3.384,21
5.570,05
6.492,41
0.187,53
5.570,05
6.492,41
0.187,53
7.737,91
2.907,11
5.820,8
)21 ot 1( secivreS
laicoS
.A
3.902,41
6.350,7
7.551,7
8.795,23
6.456,6
2.349,52
8.795,23
6.456,6
2.349,52
7.680,11
7.779,6
0.901,4
erutluC dna
trA ,stropS ,noitacudE
.1
1.967,4
5.849,1
6.028,2
5.366,4
2.838,1
3.528,2
5.366,4
2.838,1
3.528,2
9.212,3
3.339,1
5.972,1
htlaeH
cilbuP dna lacideM
.2
7.27
7.27
β
1.943
0.07
1.972
1.943
0.07
1.972
9.323
1.38
8.042
erafleW ylimaF
.3
2.185,1
7.535,1
5.54
8.735,1
1.684,1
7.15
8.735,1
1.684,1
7.15
7.485,1
0.635,1
7.84
noitatinaS
dna ylppuS retaW
.4
4.287
8.703
6.474
1.777
5.203
6.474
1.777
5.203
6.474
8.523
5.572
3.05
gnisuoH
.5
3.113
3.071
0.141
6.259
6.357
0.991
6.259
6.357
0.991
0.463
4.752
5.601
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
0.601
0.13
0.57
9.145,2
9.664,2
0.57
9.145,2
9.664,2
0.57
8.95
5.84
3.11
sessalC drawkcaB
6.514
4.881
2.722
3.704
6.071
6.632
3.704
6.071
6.632
4.012
4.361
0.74
erafleW
ruobaL dna ruobaL
.8
9.104,1
2.48
7.713,1
8.583,4
4.59
4.092,4
8.583,4
4.59
4.092,4
6.222,1
0.011
6.211,1
erafleW
dna ytiruceS laicoS
.9
5.841
5.32
0.521
9.723,1
9.22
0.503,1
9.723,1
9.22
0.503,1
8.059
8.5
0.549
noitirtuN
.01
9.742
9.142
0.6
8.862
8.262
0.6
8.862
8.262
0.6
5.391
9.781
6.5
seitimalaC
larutaN
fo tnuocca no feileR
.11
4.672
4.181
0.59
9.562
9.071
0.59
9.562
9.071
0.59
7.202
5.031
2.27
*srehtO
.21
7.319,92
0.553,7
7.855,22
6.830,92
5.911,8
1.919,02
6.830,92
5.911,8
1.919,02
5.493,71
3.101,7
3.392,01
)9 ot 1( secivreS cimonocE
.B
1.173,9
1.947,2
0.226,6
7.477,01
6.195,3
1.381,7
7.477,01
6.195,3
1.381,7
4.539,5
6.627,2
8.802,3
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
7.386,2
4.105
3.281,2
3.164,3
1.364
2.899,2
3.164,3
1.364
2.899,2
3.246,1
2.505
1.731,1
yrdnabsuH porC)i
2.543,3
4.064
8.488,2
8.243,3
0.944
8.398,2
8.243,3
0.944
8.398,2
0.971,1
9.393
1.587
noitavresnoC
retaW dna lioS)ii
2.160,1
8.195
4.964
5.999
8.565
7.334
5.999
8.565
7.334
2.219
2.815
1.493
yrdnabsuH laminA)iii
2.511
0.06
2.55
6.111
4.65
2.55
6.111
4.65
2.55
4.323
8.84
7.472
tnempoleveD yriaD)vi
4.372
7.031
7.241
9.662
2.421
7.241
9.662
2.421
7.241
0.792
4.601
6.091
seirehsiF)v
7.564,1
7.157
0.417
8.921,2
7.976,1
1.054
8.921,2
7.976,1
1.054
5.291,1
5.119
0.182
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
0.311
5.48
5.82
7.931
9.29
8.64
7.931
9.29
8.64
5.901
4.78
1.22
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
4.871
4.821
0.05
8.981
4.221
4.76
8.981
4.221
4.76
3.551
0.121
3.43
noitarepo-oC)ix
4.531
2.04
2.59
3.331
1.83
2.59
3.331
1.83
2.59
2.421
3.43
9.98
semmargorP
larutlucirgA rehtO)iix
4.111,6
7.226
7.884,5
1.617,6
0.885
1.821,6
1.617,6
0.885
1.821,6
8.305,3
2.934
6.460,3
tnempoleveD laruR
.2
4.490,1
β
4.490,1
9.616
β
9.616
9.616
β
9.616
3.291
β
3.291
semmargorP
aerA laicepS
.3
4.421,1
2.703
2.718
5.931,1
0.703
5.238
5.931,1
0.703
5.238
1.263
3.332
8.821
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
3.0
β
3.0
3.0
β
3.0
3.0
β
3.0
β
β
β
noitagirrI
muideM dna rojaM
)i
0.301,1
1.692
9.608
8.811,1
6.692
2.228
8.811,1
6.692
2.228
2.253
5.422
7.721
noitagirrI roniM
)ii
1.12
1.11
0.01
4.02
4.01
0.01
4.02
4.01
0.01
9.9
8.8
1.1
eganiarD
dna lortnoC doolF
)iii
3.292,1
8.691
5.590,1
8.382,1
3.881
5.590,1
8.382,1
3.881
5.590,1
8.265,1
0.371
7.983,1
ygrenE
.5
8.012,1
8.691
0.410,1
3.202,1
3.881
0.410,1
3.202,1
3.881
0.410,1
4.005,1
0.371
3.723,1
rewoP :hcihw
fo
3.099,1
6.533,1
7.456
9.583,2
6.962,1
3.611,1
9.583,2
6.962,1
3.611,1
4.201,2
5.436,1
9.764
)iii ot
i( slareniM dna yrtsudnI
.6
8.759
8.804
0.945
1.373,1
1.983
9.389
1.373,1
1.983
9.389
2.038
6.524
6.404
seirtsudnI
llamS dna egalliV)i
6.230,1
9.629
7.501
9.210,1
5.088
4.231
9.210,1
5.088
4.231
2.272,1
9.802,1
3.36
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
202
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
AYALAHGEM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
3.094,1
3.094,1
β
9.935,1
9.935,1
β
9.935,1
9.935,1
β
9.364,1
2.654,1
8.7
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
3.094,1
3.094,1
β
9.935,1
9.935,1
β
9.935,1
9.935,1
β
9.364,1
2.654,1
8.7
segdirB dna sdaoR)i
β
β
β
β
β
β
β
β
β
β
β
β
@@ srehtO)ii
7.7
7.7
β
5.6
5.6
β
5.6
5.6
β
0.5
0.5
β
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
7.134,7
6.546
1.687,6
2.575,4
6.826
6.649,3
2.575,4
6.826
6.649,3
8.662,2
4.334
4.338,1
)vi
ot
i( secivreS
cimonocE lareneG
.9
3.319,5
4.412
9.896,5
8.297,3
3.091
5.206,3
8.297,3
3.091
5.206,3
6.276,1
9.261
7.905,1
secivreS
cimonocE
- tairaterceS)i
0.811,1
1.96
9.840,1
7.392
8.46
9.822
7.392
8.46
9.822
4.932
2.33
3.602
msiruoT)ii
8.451
8.141
0.31
9.122
0.231
9.98
9.122
0.231
9.98
4.871
2.011
1.86
seilppuS liviC)iii
6.542
3.022
3.52
9.662
6.142
3.52
9.662
6.142
3.52
4.671
1.721
4.94
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
8.879,12
2.646,12
6.233
7.319,91
2.525,91
5.883
7.319,91
2.525,91
5.883
7.383,81
5.712,81
1.661
)F ot A( )secivreS
lareneG(
8.844,1
8.844,1
β
3.322,1
3.322,1
β
3.322,1
3.322,1
β
2.273,1
2.273,1
β
etatS fo
snagrO
.A
9.227
9.476
0.84
4.186
4.306
0.87
4.186
4.306
0.87
6.626
8.306
8.22
)ii + i( secivreS
lacsiF
.B
7.817
7.076
0.84
6.776
6.995
0.87
6.776
6.995
0.87
6.326
9.006
8.22
seituD
dna sexaT fo noitcelloC)i
2.4
2.4
β
9.3
9.3
β
9.3
9.3
β
9.2
9.2
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
3.420,5
3.420,5
β
4.072,4
4.072,4
β
4.072,4
4.072,4
β
8.139,3
8.139,3
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
8.313
8.313
β
4.142
4.142
β
4.142
4.142
β
8.612
8.612
β
tbeD fo ecnadiovA
5.017,4
5.017,4
β
0.920,4
0.920,4
β
0.920,4
0.920,4
β
0.517,3
0.517,3
β
)vi
ot i( stnemyaP tseretnI
.2
6.381
6.381
β
8.991
8.991
β
8.991
8.991
β
9.402
9.402
β
ertneC
eht morf
snaoL no tseretnI)i
5.745,3
5.745,3
β
9.790,3
9.790,3
β
9.790,3
9.790,3
β
4.586,2
4.586,2
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
2.835,2
2.835,2
β
7.561,2
7.561,2
β
7.561,2
7.561,2
β
3.598,1
3.598,1
β
snaoL
tekraM
no tseretnI )a(
4.996
4.996
β
2.336
2.336
β
2.336
2.336
β
0.145
0.145
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
8.779
8.779
β
0.037
0.037
β
0.037
0.037
β
1.808
1.808
β
.cte
,sdnuF tnedivorP
6.1
6.1
β
3.1
3.1
β
3.1
3.1
β
6.61
6.61
β
srehtO)vi
5.691,01
8.119,9
6.482
3.736,9
9.623,9
5.013
3.736,9
9.623,9
5.013
1.539,7
7.197,7
3.341
)v ot
i( secivreS evitartsinimdA
.D
5.337
5.337
β
1.986
1.986
β
1.986
1.986
β
3.946
3.946
β
secivreS
lareneG - tairaterceS)i
8.893
8.893
β
2.073
2.073
β
2.073
2.073
β
7.582
7.582
β
noitartsinimdA tcirtsiD)ii
1.664,5
1.064,5
0.6
6.861,5
6.261,5
0.6
6.861,5
6.261,5
0.6
4.750,4
4.750,4
β
eciloP)iii
4.578,1
2.967,1
2.601
2.777,1
8.856,1
4.811
2.777,1
8.856,1
4.811
4.954,1
3.504,1
2.45
skroW cilbuP)vi
6.227,1
2.055,1
4.271
2.236,1
2.644,1
1.681
2.236,1
2.644,1
1.681
2.384,1
0.493,1
2.98
++ srehtO)v
2.364,4
2.364,4
β
1.300,4
1.300,4
β
1.300,4
1.300,4
β
7.805,4
7.805,4
β
snoisneP
.E
1.321
1.321
β
2.89
2.89
β
2.89
2.89
β
2.9
2.9
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
2.99
2.99
β
8.79
8.79
β
8.79
8.79
β
2.9
2.9
β
seirettoL
etatS fo tnuocca no
tnemyaP
β
β
β
β
β
β
β
β
β
β
β
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
203
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
MAROZIM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
9.219,06
8.301,93
0.908,12
1.586,26
9.662,63
1.814,62
1.646,75
4.883,33
7.752,42
8.961,94
4.102,13
5.869,71
)III+II+I( ERUTIDNEPXE
LATOT
8.731,83
2.122,71
6.619,02
5.096,44
4.313,91
1.773,52
0.662,04
8.386,61
3.285,32
7.303,23
0.642,51
7.750,71
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
7.189,12
8.788,9
9.390,21
6.489,32
7.330,11
9.059,21
0.379,91
4.323,9
6.946,01
5.632,81
4.992,8
1.739,9
)21 ot 1( secivreS
laicoS
.A
3.765,11
5.748,4
8.917,6
1.480,21
9.473,5
3.907,6
0.635,01
8.827,4
2.708,5
9.063,9
2.751,4
7.302,5
erutluC dna
trA ,stropS ,noitacudE
.1
0.076,3
6.166,1
4.800,2
3.579,3
0.405,1
2.174,2
8.242,3
0.543,1
7.798,1
0.381,2
8.080,1
2.201,1
htlaeH
cilbuP dna lacideM
.2
2.572
5.6
8.862
8.673
6.5
2.173
9.42
6.5
3.91
1.792
2.4
9.292
erafleW ylimaF
.3
1.283,1
6.157
5.036
0.825,1
0.841,1
0.083
3.759
3.776
0.082
3.963,1
4.477
9.495
noitatinaS
dna ylppuS retaW
.4
5.27
3.66
2.6
4.96
0.76
4.2
4.96
0.76
4.2
8.46
8.06
0.4
gnisuoH
.5
6.495
1.822
5.663
4.210,1
0.916
4.393
0.077
4.283
6.783
4.427
1.243
3.283
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
6.395,2
0.818,1
6.577
2.899,2
9.558,1
3.241,1
5.405,2
0.276,1
5.238
5.154,2
2.805,1
3.349
sessalC drawkcaB
9.391
0.45
0.041
1.602
8.85
3.741
7.761
0.35
7.411
1.97
5.44
6.43
erafleW
ruobaL dna ruobaL
.8
0.113,1
6.761
3.341,1
8.023,1
4.661
4.451,1
8.492,1
0.561
8.921,1
7.720,1
0.731
8.098
erafleW
dna ytiruceS laicoS
.9
4.82
0.5
4.32
7.92
3.6
4.32
7.92
3.6
4.32
4.114
2.5
2.604
noitirtuN
.01
0.071
0.071
β
0.352
0.411
0.931
0.352
0.411
0.931
4.251
8.69
6.55
seitimalaC
larutaN
fo tnuocca no feileR
.11
1.321
7.111
4.11
6.031
6.311
0.71
0.321
0.701
0.61
0.511
3.88
7.62
*srehtO
.21
1.651,61
4.333,7
7.228,8
9.507,02
8.972,8
2.624,21
0.392,02
4.063,7
7.239,21
2.760,41
7.649,6
6.021,7
)9 ot 1( secivreS cimonocE
.B
4.954,5
7.713,2
7.141,3
7.788,7
1.348,2
6.440,5
0.695,7
9.685,2
1.900,5
4.546,6
9.343,2
5.103,4
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
0.749,2
3.725
7.914,2
5.388,2
4.415
1.963,2
8.941,3
7.794
1.256,2
5.236,2
7.173
9.062,2
yrdnabsuH porC)i
5.902
4.171
1.83
4.525
7.271
7.253
1.225
4.961
7.253
1.125
2.041
8.083
noitavresnoC
retaW dna lioS)ii
0.025
1.763
9.251
6.347,1
2.133
4.214,1
4.396,1
2.423
2.963,1
7.063,1
8.582
8.470,1
yrdnabsuH laminA)iii
2.84
6.21
7.53
9.15
3.11
6.04
2.05
3.11
9.83
4.21
3.8
0.4
tnempoleveD yriaD)vi
4.331
6.36
9.96
1.713
4.26
7.452
7.582
9.95
8.522
9.372
8.35
1.022
seirehsiF)v
9.028
4.355
4.762
2.913,1
9.149
4.773
1.801,1
2.188
9.622
6.429
2.437
5.091
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
7.964
6.164
1.8
7.056
0.546
7.5
1.005
4.494
7.5
5.826
4.226
1.6
gnisuoheraW
dna egarotS dooF)iiiv
6.701
3.73
4.07
0.402
3.63
7.761
4.901
9.53
5.37
6.021
2.82
3.29
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
4.451
9.88
6.56
7.041
8.19
8.84
7.821
8.97
8.84
5.521
0.07
5.55
noitarepo-oC)ix
7.84
7.43
0.41
5.15
0.63
5.51
6.84
1.33
5.51
8.54
3.92
5.61
semmargorP
larutlucirgA rehtO)iix
8.502,3
5.842
3.759,2
5.171,2
1.332
3.839,1
3.540,3
5.832
8.608,2
9.675
4.781
5.983
tnempoleveD laruR
.2
2.184
β
2.184
2.504
β
2.504
2.504
β
2.504
7.873
β
7.873
semmargorP
aerA laicepS
.3
5.811
9.36
6.45
5.231
7.26
8.96
3.921
6.16
7.76
6.201
8.54
8.65
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
β
β
β
1.0
β
1.0
1.0
β
1.0
1.0
β
1.0
noitagirrI
muideM dna rojaM
)i
5.811
9.36
6.45
5.231
7.26
8.96
3.921
6.16
7.76
6.201
8.54
8.65
noitagirrI roniM
)ii
β
β
β
β
β
β
β
β
β
β
β
β
eganiarD
dna lortnoC doolF
)iii
0.401,3
1.726,2
9.674
1.154,3
6.660,3
4.483
3.678,2
6.315,2
7.263
1.171,3
7.527,2
4.544
ygrenE
.5
0.401,3
1.726,2
9.674
9.644,3
6.660,3
2.083
1.278,2
6.315,2
5.853
6.071,3
7.527,2
9.444
rewoP :hcihw
fo
4.357
0.004
4.353
7.245,1
9.914
8.221,1
7.492,1
2.373
5.129
3.332,1
2.823
1.509
)iii ot
i( slareniM dna yrtsudnI
.6
1.686
5.733
5.843
4.764,1
6.363
8.301,1
9.822,1
9.613
0.219
2.771,1
6.182
7.598
seirtsudnI
llamS dna egalliV)i
4.76
5.26
9.4
3.57
3.65
0.91
8.56
3.65
5.9
0.65
6.64
4.9
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
204
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
MAROZIM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
9.333,2
8.203,1
1.130,1
5.232,2
5.972,1
9.259
4.880,2
8.322,1
6.468
2.444,1
9.730,1
4.604
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
0.397,1
0.369
0.038
1.107,1
9.259
2.847
8.506,1
3.519
6.096
3.230,1
8.887
5.342
segdirB dna sdaoR)i
9.045
8.933
1.102
4.135
6.623
8.402
6.284
6.803
0.471
9.114
0.942
9.261
@@ srehtO)ii
0.14
1.6
9.43
4.93
6.9
8.92
8.42
8.5
0.91
7.92
5.5
2.42
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
9.856
3.763
7.192
4.348,2
2.563
3.874,2
0.338,2
9.653
1.674,2
4.584
3.272
1.312
)vi
ot
i( secivreS
cimonocE lareneG
.9
3.931
7.03
6.801
8.443,2
8.62
0.813,2
4.334,2
8.62
6.604,2
7.021
8.22
9.79
secivreS
cimonocE
- tairaterceS)i
5.86
3.42
3.44
6.26
1.03
5.23
9.35
9.32
0.03
0.16
3.32
7.73
msiruoT)ii
3.912
4.671
9.24
6.722
8.271
7.45
2.581
8.271
4.21
8.441
5.711
3.72
seilppuS liviC)iii
9.132
8.531
0.69
5.802
4.531
0.37
6.061
5.331
1.72
8.851
7.801
1.05
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
1.577,22
6.288,12
4.298
5.499,71
5.359,61
1.140,1
0.083,71
6.407,61
4.576
2.668,61
4.559,51
8.019
)F ot A( )secivreS
lareneG(
4.416
1.406
3.01
8.707
6.896
2.9
4.806
4.995
0.9
6.039
9.919
7.01
etatS fo
snagrO
.A
1.287
4.267
8.91
0.587
5.567
6.91
1.496
6.586
5.8
0.206
1.475
9.72
)ii + i( secivreS
lacsiF
.B
7.767
9.747
8.91
8.077
2.157
6.91
1.086
6.176
5.8
8.985
9.165
9.72
seituD
dna sexaT fo noitcelloC)i
5.41
5.41
β
2.41
2.41
β
0.41
0.41
β
2.21
2.21
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
6.208,4
6.208,4
β
4.422,3
4.422,3
β
9.641,3
9.641,3
β
0.470,3
0.470,3
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
5.203
5.203
β
2.942
2.942
β
2.942
2.942
β
0.922
0.922
β
tbeD fo ecnadiovA
1.005,4
1.005,4
β
2.579,2
2.579,2
β
7.798,2
7.798,2
β
0.548,2
0.548,2
β
)vi
ot i( stnemyaP tseretnI
.2
5.612
5.612
β
0.022
0.022
β
0.022
0.022
β
6.132
6.132
β
ertneC
eht morf
snaoL no tseretnI)i
6.344,3
6.344,3
β
2.519,1
2.519,1
β
7.738,1
7.738,1
β
4.377,1
4.377,1
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
3.472,3
3.472,3
β
0.537,1
0.537,1
β
5.866,1
5.866,1
β
8.865,1
8.865,1
β
snaoL
tekraM
no tseretnI )a(
0.561
0.561
β
0.561
0.561
β
0.561
0.561
β
3.491
3.491
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
0.048
0.048
β
0.048
0.048
β
0.048
0.048
β
0.048
0.048
β
.cte
,sdnuF tnedivorP
β
β
β
β
β
β
β
β
β
β
β
β
srehtO)vi
3.059,01
9.780,01
3.268
6.554,9
3.344,8
3.210,1
2.841,9
2.094,8
9.756
6.399,6
5.564,6
1.825
)v ot
i( secivreS evitartsinimdA
.D
4.144,3
4.001,3
0.143
8.725,1
8.669
0.165
0.645,1
0.502,1
0.143
9.538
6.418
4.12
secivreS
lareneG - tairaterceS)i
9.254
7.583
2.76
4.804
1.973
3.92
7.683
3.073
3.61
0.383
3.613
7.66
noitartsinimdA tcirtsiD)ii
2.269,4
4.917,4
8.242
9.388,4
8.257,4
1.131
4.097,4
2.537,4
2.55
6.989,3
4.538,3
3.451
eciloP)iii
0.055
6.444
4.501
9.185
8.924
1.251
9.225
9.004
0.221
9.484
9.833
0.641
skroW cilbuP)vi
8.345,1
9.734,1
9.501
7.350,2
9.419,1
8.831
2.209,1
8.877,1
4.321
1.003,1
4.061,1
7.931
++ srehtO)v
0.006,5
0.006,5
β
2.697,3
2.697,3
β
7.857,3
7.857,3
β
8.542,5
6.109,4
2.443
snoisneP
.E
6.52
6.52
β
5.52
5.52
β
7.32
7.32
β
3.02
3.02
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
6.52
6.52
β
5.52
5.52
β
7.32
7.32
β
3.02
3.02
β
seirettoL
etatS fo tnuocca no
tnemyaP
β
β
β
β
β
β
β
β
β
β
β
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
205
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
DNALAGAN
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.616,68
7.815,56
6.790,12
6.550,67
2.234,65
4.326,91
0.411,97
6.152,65
4.268,22
5.305,75
3.350,94
2.054,8
)III+II+I( ERUTIDNEPXE
LATOT
3.224,05
5.427,92
8.796,02
9.418,44
8.395,52
1.122,91
0.522,94
8.828,62
2.693,22
7.491,03
0.119,12
7.382,8
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
1.074,62
1.476,61
0.697,9
8.955,22
4.636,31
4.329,8
4.477,32
0.634,51
4.833,8
6.510,71
0.116,21
6.404,4
)21 ot 1( secivreS
laicoS
.A
4.874,61
9.012,11
5.762,5
4.113,31
7.837,8
7.275,4
8.452,41
8.218,01
0.244,3
2.003,01
9.322,8
4.670,2
erutluC dna
trA ,stropS ,noitacudE
.1
7.478,4
1.082,3
6.495,1
5.314,4
4.328,2
1.095,1
2.823,4
9.708,2
3.025,1
9.226,2
6.265,2
3.06
htlaeH
cilbuP dna lacideM
.2
2.952
5.02
7.832
8.282
5.02
2.262
8.282
6.02
2.262
1.952
6.0
6.852
erafleW ylimaF
.3
0.218
8.037
2.18
7.085
7.085
β
5.636
9.195
6.44
6.325
6.225
0.1
noitatinaS
dna ylppuS retaW
.4
4.553
4.531
0.022
1.412
2.011
9.301
9.609
9.601
0.008
1.641
8.66
3.97
gnisuoH
.5
1.362
1.362
β
5.703
5.703
β
3.753
8.292
5.46
2.851
3.831
8.91
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
9.013
β
9.013
5.525
β
5.525
4.035
β
4.035
8.912
β
8.912
sessalC drawkcaB
2.517
1.542
1.074
3.713
5.222
8.49
1.593
8.712
3.771
5.452
9.791
5.65
erafleW
ruobaL dna ruobaL
.8
1.213,1
5.842
6.360,1
4.516,1
5.212
9.204,1
9.402,1
0.481
9.020,1
5.580,1
1.281
4.309
erafleW
dna ytiruceS laicoS
.9
3.255
8.2
5.945
3.173
β
3.173
8.254
8.2
0.054
9.307
5.0
3.307
noitirtuN
.01
9.711
9.711
β
5.382
5.382
β
4.06
4.06
β
2.224
2.224
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
0.914
0.914
β
7.633
7.633
β
4.463
2.833
2.62
6.913
4.392
2.62
*srehtO
.21
2.259,32
4.050,31
8.109,01
2.552,22
5.759,11
7.792,01
6.054,52
8.293,11
8.750,41
1.971,31
0.003,9
1.978,3
)9 ot 1( secivreS cimonocE
.B
1.777,4
1.167,2
0.610,2
4.410,5
5.488,2
8.921,2
8.844,5
6.978,2
2.965,2
6.214,3
7.203,2
8.901,1
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
1.820,2
9.286
2.543,1
4.024,2
6.846
7.177,1
1.924,2
8.446
3.487,1
1.031,1
7.195
4.835
yrdnabsuH porC)i
3.663
3.113
0.55
2.853
9.982
3.86
7.104
0.192
7.011
1.663
4.562
7.001
noitavresnoC
retaW dna lioS)ii
0.508
4.995
6.502
2.616
9.255
3.36
4.137
0.935
4.291
3.726
3.874
1.941
yrdnabsuH laminA)iii
3.17
4.31
9.75
3.09
4.31
9.67
4.36
4.31
0.05
7.6
7.6
β
tnempoleveD yriaD)vi
5.982
1.431
4.551
4.631
4.611
0.02
6.842
6.311
0.531
9.523
1.011
8.512
seirehsiF)v
1.047
6.975
5.061
0.059
7.928
3.021
9.840,1
1.258
8.691
1.384
8.364
3.91
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
5.981
9.381
6.5
9.071
9.071
β
1.302
8.861
3.43
1.551
6.451
5.0
gnisuoheraW
dna egarotS dooF)iiiv
1.311
6.901
5.3
3.631
3.631
β
6.741
3.531
3.21
7.431
4.911
4.51
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
3.471
0.741
3.72
6.531
4.621
2.9
0.571
6.121
4.35
5.381
8.211
7.07
noitarepo-oC)ix
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
larutlucirgA rehtO)iix
3.391,7
6.076,1
7.225,5
3.324,5
5.122,1
9.102,4
8.886,7
7.312,1
1.574,6
8.458
9.243
0.215
tnempoleveD laruR
.2
4.862,1
8.55
6.212,1
1.264,1
3.46
8.793,1
7.169,1
3.56
4.698,1
7.476
2.56
5.906
semmargorP
aerA laicepS
.3
0.942
8.342
2.5
4.395,1
9.752
5.533,1
0.209,1
9.352
1.846,1
8.548
3.712
5.826
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
noitagirrI
muideM dna rojaM
)i
0.942
8.342
2.5
4.395,1
9.752
5.533,1
0.209,1
9.352
1.846,1
8.548
3.712
5.826
noitagirrI roniM
)ii
β
β
β
β
β
β
β
β
β
β
β
β
eganiarD
dna lortnoC doolF
)iii
1.045,3
1.045,3
β
8.614,3
8.614,3
β
7.941,3
7.731,3
0.21
1.379,2
2.469,2
9.8
ygrenE
.5
6.805,3
6.805,3
β
2.583,3
2.583,3
β
0.311,3
0.901,3
0.4
3.839,2
3.839,2
β
rewoP :hcihw
fo
8.820,1
3.668
5.261
8.777
6.206
2.571
2.199
3.995
9.193
1.976
1.265
0.711
)iii ot
i( slareniM dna yrtsudnI
.6
6.118
1.946
5.261
8.316
6.834
2.571
8.218
4.934
4.373
7.515
2.714
5.89
seirtsudnI
llamS dna egalliV)i
2.712
2.712
β
0.461
0.461
β
4.871
9.951
5.81
3.361
9.441
5.81
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
206
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
DNALAGAN
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.441,3
1.241,3
0.2
0.228,2
0.228,2
β
0.655,2
0.555,2
0.1
0.332,2
0.232,2
0.1
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
3.534,2
3.534,2
β
8.151,2
8.151,2
β
0.639,1
0.639,1
β
8.006,1
8.006,1
β
segdirB dna sdaoR)i
8.807
8.607
0.2
1.076
1.076
β
9.916
9.816
0.1
2.236
2.136
0.1
@@ srehtO)ii
5.051
2.13
3.911
4.561
5.32
9.141
2.99
5.22
7.67
5.76
0.02
5.74
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
8.006,2
3.937
5.168,1
1.085,1
4.466
7.519
3.356,1
9.566
4.789
7.834,1
7.395
0.548
)vi
ot
i( secivreS
cimonocE lareneG
.9
5.270,2
5.143
0.137,1
0.190,1
2.772
8.318
0.391,1
8.192
2.109
0.489
8.852
2.527
secivreS
cimonocE
- tairaterceS)i
3.621
3.66
0.06
7.511
7.55
0.06
6.97
6.25
0.72
8.801
8.65
0.25
msiruoT)ii
β
β
β
β
β
β
β
β
β
β
β
β
seilppuS liviC)iii
9.104
4.133
5.07
4.373
5.133
9.14
8.083
6.123
2.95
0.643
2.872
8.76
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
0.491,63
2.497,53
8.993
7.042,13
4.838,03
3.204
0.988,92
8.224,92
2.664
8.803,72
4.241,72
4.661
)F ot A( )secivreS
lareneG(
4.596
4.096
0.5
0.447
5.727
5.61
5.817
5.317
0.5
7.538
7.038
0.5
etatS fo
snagrO
.A
9.995
1.095
8.9
9.645
9.645
β
4.685
4.125
0.56
1.075
9.764
2.201
)ii + i( secivreS
lacsiF
.B
4.995
6.985
8.9
4.645
4.645
β
9.585
9.025
0.56
6.965
4.764
2.201
seituD
dna sexaT fo noitcelloC)i
5.0
5.0
β
5.0
5.0
β
5.0
5.0
β
5.0
5.0
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
2.416,8
2.416,8
β
5.310,6
5.310,6
β
8.011,6
8.011,6
β
5.850,5
5.850,5
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
0.000,2
0.000,2
β
0.014
0.014
β
0.014
0.014
β
0.021
0.021
β
tbeD fo ecnadiovA
2.416,6
2.416,6
β
5.306,5
5.306,5
β
8.007,5
8.007,5
β
5.839,4
5.839,4
β
)vi
ot i( stnemyaP tseretnI
.2
3.581
3.581
β
0.381
0.381
β
3.391
3.391
β
2.981
2.981
β
ertneC
eht morf
snaoL no tseretnI)i
4.719,5
4.719,5
β
0.139,4
0.139,4
β
4.779,4
4.779,4
β
1.062,4
1.062,4
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
5.357,4
5.357,4
β
8.168,3
8.168,3
β
4.858,3
4.858,3
β
7.791,3
7.791,3
β
snaoL
tekraM
no tseretnI )a(
0.061
0.061
β
0.051
0.051
β
0.051
0.051
β
1.331
1.331
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
5.115
5.115
β
5.984
5.984
β
1.035
1.035
β
2.984
2.984
β
.cte
,sdnuF tnedivorP
β
β
β
β
β
β
β
β
β
β
β
β
srehtO)vi
4.608,51
4.124,51
0.583
1.099,41
3.406,41
8.583
2.582,41
0.988,31
2.693
0.758,31
8.797,31
2.95
)v ot
i( secivreS evitartsinimdA
.D
3.650,1
3.650,1
β
4.059
4.059
β
3.879
3.579
0.3
3.558
3.258
0.3
secivreS
lareneG - tairaterceS)i
6.971,1
6.971,1
β
3.990,1
3.990,1
β
3.301,1
3.390,1
0.01
5.010,1
5.010,1
β
noitartsinimdA tcirtsiD)ii
4.778,01
4.294,01
0.583
3.086,01
6.492,01
8.583
9.500,01
6.356,9
3.253
1.578,9
8.268,9
3.21
eciloP)iii
1.381,1
1.381,1
β
2.758
2.758
β
5.298
5.688
0.6
3.278
3.278
β
skroW cilbuP)vi
0.015,1
0.015,1
β
8.204,1
8.204,1
β
1.503,1
2.082,1
9.42
7.342,1
8.991,1
9.34
++ srehtO)v
8.834,01
8.834,01
β
1.019,8
1.019,8
β
0.051,8
0.051,8
β
1.159,6
1.159,6
β
snoisneP
.E
2.93
2.93
β
3.63
3.63
β
0.83
0.83
β
5.63
5.63
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
1.32
1.32
β
7.22
7.22
β
7.22
7.22
β
4.22
4.22
β
seirettoL
etatS fo tnuocca no
tnemyaP
β
β
β
β
β
β
β
β
β
β
β
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
207
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
AHSIDO
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
9.983,856
5.029,804
4.964,942
5.127,206
3.487,563
2.739,632
2.418,826
0.589,473
2.928,352
5.771,654
6.001,603
9.670,051
)III+II+I( ERUTIDNEPXE
LATOT
6.719,054
1.341,302
5.477,742
9.135,614
4.629,181
5.506,432
8.072,534
2.129,381
6.943,152
4.163,013
1.208,161
3.955,841
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
3.345,062
5.770,121
8.564,931
4.535,142
1.984,701
4.640,431
9.973,752
8.732,311
1.241,441
5.512,781
8.097,001
6.424,68
)21 ot 1( secivreS
laicoS
.A
6.613,021
7.899,27
9.713,74
3.293,901
5.926,66
8.267,24
8.953,511
8.045,66
0.918,84
7.328,28
5.642,55
2.775,72
erutluC dna
trA ,stropS ,noitacudE
.1
2.338,13
3.013,71
9.225,41
2.269,92
9.934,51
2.225,41
4.470,13
1.681,51
3.888,51
8.903,61
2.838,21
6.174,3
htlaeH
cilbuP dna lacideM
.2
2.554
2.792
0.851
5.467,2
5.972
0.584,2
4.567,2
4.082
0.584,2
0.618,1
7.422
3.195,1
erafleW ylimaF
.3
2.610,91
2.127,4
1.592,41
1.083,71
0.672,4
1.401,31
1.443,01
3.990,4
8.442,6
4.991,7
2.707,3
2.294,3
noitatinaS
dna ylppuS retaW
.4
8.562,3
8.512,3
0.05
5.070,3
5.029,2
0.051
0.950,3
0.909,2
0.051
9.344,2
9.393,2
0.05
gnisuoH
.5
1.377,9
9.516,1
2.751,8
3.902,8
6.316,1
7.595,6
8.088,9
3.016,1
5.072,8
2.802,6
0.639
2.272,5
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
1.850,71
3.917,7
8.833,9
8.468,51
4.303,7
5.165,8
2.327,71
5.792,7
7.524,01
5.103,31
4.155,6
1.057,6
sessalC drawkcaB
3.825,2
9.756
4.078,1
4.961,3
8.095
6.875,2
7.892,2
1.585
5.317,1
5.964,1
7.815
9.059
erafleW
ruobaL dna ruobaL
.8
8.868,73
0.691,4
9.276,33
1.750,83
3.661,4
8.098,33
2.522,44
1.581,4
1.040,04
2.560,13
1.810,4
2.740,72
erafleW
dna ytiruceS laicoS
.9
8.652,1
2.93
6.712,1
7.994,1
1.73
6.264,1
7.994,1
1.73
6.264,1
7.416,8
8.72
9.685,8
noitirtuN
.01
8.061,51
8.908,6
0.153,8
1.014,01
3.069,2
8.944,7
3.614,71
2.342,9
1.371,8
6.584,41
6.581,31
0.003,1
seitimalaC
larutaN
fo tnuocca no feileR
.11
4.010,2
4.694,1
1.415
4.557,1
1.272,1
2.384
4.337,1
9.362,1
5.964
0.874,1
9.241,1
2.533
*srehtO
.21
2.473,091
6.560,28
6.803,801
5.699,471
3.734,47
2.955,001
9.098,771
4.386,07
5.702,701
9.541,321
3.110,16
7.431,26
)9 ot 1( secivreS cimonocE
.B
7.835,36
4.207,72
2.638,53
1.833,26
6.527,82
5.216,33
5.787,85
4.414,52
0.373,33
2.110,74
3.835,32
9.274,32
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
5.685,72
9.676,3
7.909,32
2.290,52
8.963,3
4.227,12
9.858,42
3.553,3
6.305,12
5.296,71
9.617,2
5.579,41
yrdnabsuH porC)i
3.533,3
6.357
7.185,2
4.140,4
1.566
3.673,3
2.979,1
1.566
1.413,1
4.178
2.765
2.403
noitavresnoC
retaW dna lioS)ii
6.361,3
0.293,2
5.177
5.537,2
9.950,2
6.576
2.686,2
6.660,2
6.916
1.924,2
5.148,1
6.785
yrdnabsuH laminA)iii
4.724
5.5
9.124
5.557
1.7
5.847
0.985
6.7
3.185
4.491
3.6
1.881
tnempoleveD yriaD)vi
7.592,1
4.584
3.018
1.340,1
7.164
5.185
4.400,1
6.454
8.945
3.779
8.104
5.575
seirehsiF)v
7.885,6
4.451,4
3.434,2
2.827,6
8.726,3
4.001,3
2.505,6
6.126,3
6.388,2
7.405,5
6.352,3
1.152,2
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
4.831,51
3.063,41
1.877
9.450,71
8.938,61
1.512
3.677,31
2.845,31
1.822
0.641,31
6.960,31
4.67
gnisuoheraW
dna egarotS dooF)iiiv
5.711,1
4.469
1.351
3.900,1
2.658
1.351
6.900,1
5.658
1.351
5.740,1
8.419
7.231
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
6.338,4
6.858
0.579,3
4.008,3
9.887
5.110,3
1.103,6
6.987
5.115,5
3.670,5
9.727
4.843,4
noitarepo-oC)ix
0.25
4.15
6.0
6.77
3.94
2.82
6.77
3.94
2.82
0.27
8.83
2.33
semmargorP
larutlucirgA rehtO)iix
4.306,76
1.836,91
3.569,74
6.592,26
6.295,31
0.307,84
4.085,46
6.365,31
8.610,15
3.638,92
0.680,9
3.057,02
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
aerA laicepS
.3
4.370,81
5.169,11
9.111,6
0.106,31
7.072,11
3.033,2
1.482,61
8.939,01
3.443,5
5.079,31
1.678,01
4.490,3
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
4.934,7
4.924,7
0.01
6.477,6
6.467,6
0.01
1.028,6
1.018,6
0.01
8.183,5
8.173,5
0.01
noitagirrI
muideM dna rojaM
)i
7.309,5
7.595,2
0.803,3
7.177,3
7.456,2
0.711,1
2.331,5
2.673,2
0.757,2
5.461,6
3.639,3
2.822,2
noitagirrI roniM
)ii
1.208,1
1.208,1
β
0.627,1
0.627,1
β
0.636,1
0.636,1
β
1.564,1
1.564,1
β
eganiarD
dna lortnoC doolF
)iii
0.893
5.59
5.203
4.335
0.531
3.893
0.225
7.321
3.893
5.322
4.601
1.711
ygrenE
.5
8.55
8.55
β
3.541
3.59
0.05
0.431
0.48
0.05
7.611
7.66
0.05
rewoP :hcihw
fo
4.881,5
5.192,1
9.698,3
0.734,4
0.512,1
0.222,3
8.033,4
7.902,1
0.121,3
0.750,3
8.521,1
2.139,1
)iii ot
i( slareniM dna yrtsudnI
.6
9.793,2
0.888
9.905,1
2.441,2
0.638
3.803,1
6.221,2
7.038
9.192,1
4.066,1
3.627
0.439
seirtsudnI
llamS dna egalliV)i
8.364,2
5.304
3.060,2
4.369,1
1.973
3.485,1
8.880,2
1.973
7.907,1
5.743,1
5.993
0.849
@seirtsudnI)ii
7.623
β
7.623
4.923
β
4.923
4.911
β
4.911
2.94
β
2.94
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
208
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
AHSIDO
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.934,12
4.146,91
6.797,1
7.776,91
8.628,71
9.058,1
5.384,91
4.387,71
1.007,1
7.740,71
4.380,51
3.469,1
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
9.613,12
0.825,91
9.887,1
9.425,91
1.427,71
8.008,1
4.233,91
4.286,71
0.056,1
9.839,61
3.099,41
6.849,1
segdirB dna sdaoR)i
1.221
4.311
7.8
8.251
7.201
1.05
1.151
0.101
1.05
8.801
2.39
7.51
@@ srehtO)ii
9.437
9.961
1.565
6.968
0.861
6.107
7.668
0.561
6.107
6.856
6.641
1.215
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
5.893,31
3.565,1
1.338,11
0.442,11
5.305,1
5.047,9
0.630,31
7.384,1
3.255,11
1.143,11
6.840,1
4.292,01
)vi
ot
i( secivreS
cimonocE lareneG
.9
8.716,11
2.710,1
7.006,01
7.184,9
1.339
6.845,8
6.382,11
2.329
4.063,01
7.013,01
2.767
5.345,9
secivreS
cimonocE
- tairaterceS)i
4.514
4.401
0.113
7.963
2.79
5.272
1.963
6.69
5.272
5.373
6.77
9.592
msiruoT)ii
8.713
1.76
8.052
9.271
2.26
8.011
4.861
6.75
8.011
1.943
8.94
3.992
seilppuS liviC)iii
4.740,1
7.673
7.076
7.912,1
0.114
7.808
9.412,1
3.604
7.808
7.703
0.451
7.351
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
2.882,891
3.395,691
9.496,1
2.079,771
5.836,571
7.133,2
0.423,581
4.448,281
6.974,2
1.498,631
5.673,531
6.715,1
)F ot A( )secivreS
lareneG(
0.109,4
8.207,4
2.891
5.900,5
6.898,4
9.011
9.837,4
3.955,4
6.971
7.383,4
8.143,4
8.14
etatS fo
snagrO
.A
2.931,7
7.277,6
5.663
5.761,7
2.433,6
3.338
5.569,6
1.231,6
3.338
3.579,5
2.179,4
1.400,1
)ii + i( secivreS
lacsiF
.B
6.241
6.241
β
7.57
8.57
β
8.57
8.57
β
6.16
6.16
β
seituD
dna sexaT fo noitcelloC)i
6.699,6
1.036,6
5.663
1.74
4.852,6
3.338
7.988,6
4.650,6
3.338
7.319,5
6.909,4
1.400,1
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
0.005,84
0.005,84
β
8.192,24
8.192,24
β
8.192,25
8.192,25
β
2.288,82
2.288,82
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
0.000,5
0.000,5
β
β
β
β
0.000,5
0.000,5
β
β
β
β
tbeD fo ecnadiovA
0.005,34
0.005,34
-
8.192,24
8.192,24
-
8.192,74
8.192,74
-
2.288,82
2.288,82
-
)vi
ot i( stnemyaP tseretnI
.2
6.920,4
6.920,4
-
3.363,4
3.363,4
-
3.363,4
3.363,4
-
6.511,4
6.511,4
-
ertneC
eht morf
snaoL no tseretnI)i
8.592,81
8.592,81
-
9.327,61
9.327,61
-
9.327,61
9.327,61
-
4.377,21
4.377,21
-
tbeD
lanretnI no tseretnI)ii :hcihw fo
5.592,5
5.592,5
-
8.621,4
8.621,4
-
8.621,4
8.621,4
-
5.861,2
5.861,2
-
snaoL
tekraM
no tseretnI )a(
6.978,8
6.978,8
-
1.334,8
1.334,8
-
1.334,8
1.334,8
-
7.949,7
7.949,7
-
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
6.471,12
6.471,12
-
6.402,12
6.402,12
-
6.402,62
6.402,62
-
2.399,11
2.399,11
-
.cte
,sdnuF tnedivorP
β
β
-
β
β
-
β
β
-
β
β
-
srehtO)vi
8.906,15
6.974,05
2.031,1
6.091,24
1.308,04
4.783,1
0.710,34
3.055,14
7.664,1
5.030,83
9.855,73
6.174
)v ot
i( secivreS evitartsinimdA
.D
6.046,8
7.769,7
9.276
1.201,2
1.275,1
0.035
9.650,5
9.625,4
0.035
1.653,6
6.942,6
6.601
secivreS
lareneG - tairaterceS)i
3.015,1
3.015,1
β
4.304,1
4.304,1
β
2.373,1
2.373,1
β
2.331,1
2.331,1
-
noitartsinimdA tcirtsiD)ii
2.322,42
4.510,42
8.702
5.098,22
9.574,22
6.414
2.510,12
9.675,02
4.834
5.157,71
2.547,71
2.6
eciloP)iii
4.059,9
4.059,9
β
7.559,8
7.559,8
β
0.798,8
0.798,8
β
7.364,7
7.383,7
0.08
skroW cilbuP)vi
2.582,7
7.530,7
5.942
9.838,6
1.693,6
8.244
6.476,6
3.671,6
3.894
0.623,5
2.740,5
9.872
++ srehtO)v
0.239,58
0.239,58
β
8.501,87
8.501,87
β
8.501,87
8.501,87
β
7.153,95
7.153,95
β
snoisneP
.E
2.602
2.602
β
0.502,3
0.502,3
β
0.502
0.502
β
7.072
7.072
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
-
-
-
-
-
-
-
-
-
-
-
-
seirettoL
etatS fo tnuocca no
tnemyaP
2.481,9
2.481,9
β
4.912,8
4.912,8
β
4.912,8
4.912,8
β
0.229,8
0.229,8
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
2.481,9
2.481,9
β
4.912,8
4.912,8
β
4.912,8
4.912,8
β
0.229,8
0.229,8
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
209
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
BAJNUP
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.232,625
1.986,064
0.345,56
4.728,984
4.023,034
9.605,95
1.364,194
7.613,424
4.641,76
7.604,614
4.813,783
2.880,92
)III+II+I( ERUTIDNEPXE
LATOT
2.934,372
3.292,802
9.641,56
2.233,752
5.013,991
7.120,85
8.534,462
5.342,891
2.291,66
2.881,902
6.312,081
6.479,82
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
9.719,861
3.502,911
6.217,94
8.695,651
1.786,111
7.909,44
5.119,941
1.824,201
4.384,74
9.091,311
9.353,19
1.738,12
)21 ot 1( secivreS
laicoS
.A
0.949,09
3.318,47
7.531,61
9.688,18
3.552,76
5.136,41
3.899,77
5.449,16
7.350,61
3.922,46
7.839,45
6.092,9
erutluC dna
trA ,stropS ,noitacudE
.1
9.897,82
3.156,91
6.741,9
5.052,42
6.837,71
8.115,6
3.515,32
2.522,61
1.092,7
2.221,71
4.329,41
8.891,2
htlaeH
cilbuP dna lacideM
.2
8.042,1
0.484
7.657
1.391,2
0.383
1.018,1
6.790,2
2.284
4.516,1
9.247,1
8.514
1.723,1
erafleW ylimaF
.3
4.776,4
4.776,4
β
4.923,4
4.923,4
β
3.917,4
3.917,4
β
8.340,3
8.340,3
β
noitatinaS
dna ylppuS retaW
.4
8.789,4
8.789,4
β
8.666,4
8.666,4
β
0.082,4
0.082,4
β
8.867,1
8.867,1
β
gnisuoH
.5
3.174
0.143
3.031
4.204,4
8.471,4
6.722
5.918,2
9.671,2
6.246
2.718
2.718
β
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
6.174,01
0.088,1
6.195,8
1.420,01
7.684,1
4.735,8
2.648,7
8.392,1
4.255,6
9.157,6
2.554,4
7.692,2
sessalC drawkcaB
7.380,2
7.568,1
0.812
3.909,1
1.917,1
2.091
2.449,1
9.186,1
3.262
2.575,1
5.174,1
6.301
erafleW
ruobaL dna ruobaL
.8
7.146,61
5.060,4
2.185,21
4.729,41
8.029,3
6.600,11
8.365,51
1.972,3
6.482,21
2.809,11
4.978,5
8.820,6
erafleW
dna ytiruceS laicoS
.9
0.027,1
β
0.027,1
9.957,1
β
9.957,1
8.407,2
β
8.407,2
7.993
β
7.993
noitirtuN
.01
5.219,5
5.219,5
β
2.905,5
2.905,5
β
8.448,5
8.348,5
0.1
1.902,3
1.902,3
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
4.369
9.135
5.134
8.737
3.305
5.432
8.775
3.105
5.67
8.226
0.134
7.191
*srehtO
.21
3.125,401
0.780,98
3.434,51
4.537,001
4.326,78
0.211,31
3.425,411
5.518,59
8.807,81
2.799,59
7.958,88
5.731,7
)9 ot 1( secivreS cimonocE
.B
1.720,34
8.988,53
3.731,7
1.956,34
8.967,43
4.988,8
5.189,46
0.637,45
5.542,01
1.922,41
3.943,8
7.978,5
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
2.174,13
1.633,72
2.531,4
4.381,23
7.695,62
7.685,5
3.609,35
0.929,64
3.779,6
0.065,4
0.478,1
9.586,2
yrdnabsuH porC)i
9.218,1
7.225
2.092,1
4.882,1
6.915
8.867
4.624,1
9.115
5.419
2.689
2.874
9.705
noitavresnoC
retaW dna lioS)ii
7.908,3
4.827,3
3.18
2.037,3
9.854,3
3.172
9.844,3
9.521,3
0.323
0.240,3
1.799,2
9.44
yrdnabsuH laminA)iii
7.321
7.211
0.11
0.942
1.401
9.441
6.732
6.611
0.121
0.651
7.79
2.85
tnempoleveD yriaD)vi
0.581
3.971
8.5
3.461
2.361
1.1
1.761
5.561
6.1
8.851
8.551
0.3
seirehsiF)v
9.850,1
0.540,1
9.31
6.222,1
2.600,1
5.612
4.051,1
3.249
1.802
9.040,1
2.168
7.971
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
8.365,3
8.369,1
0.006,1
8.268,3
8.269,1
0.009,1
6.466,3
6.469,1
0.007,1
0.653,3
0.659
0.004,2
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
2.129
2.129
β
9.488
9.488
β
5.309
5.309
β
2.068
2.068
β
noitarepo-oC)ix
7.08
7.08
β
5.37
5.37
β
8.67
8.67
β
1.96
1.96
β
semmargorP
larutlucirgA rehtO)iix
4.964,4
5.256,1
8.618,2
8.798,8
4.292,6
4.506,2
9.240,11
4.635,7
5.605,3
2.540,7
7.657,6
5.882
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
aerA laicepS
.3
6.982,31
6.882,31
0.1
4.449,21
4.449,21
β
3.326,21
3.326,21
β
0.914,31
0.914,31
β
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
2.403,01
2.403,01
β
5.260,01
5.260,01
β
7.039,9
7.039,9
β
3.537,01
3.537,01
β
noitagirrI
muideM dna rojaM
)i
4.495,1
4.495,1
β
1.016,1
1.016,1
β
0.264,1
0.264,1
β
7.705,1
7.705,1
β
noitagirrI roniM
)ii
1.193,1
1.093,1
0.1
9.172,1
9.172,1
β
6.032,1
6.032,1
β
9.571,1
9.571,1
β
eganiarD
dna lortnoC doolF
)iii
2.758,92
2.058,92
0.7
9.750,52
9.750,52
β
7.900,8
4.900,8
3.0
8.751,84
8.751,84
β
ygrenE
.5
0.048,92
0.048,92
β
6.840,52
6.840,52
β
0.000,8
0.000,8
β
0.051,84
0.051,84
β
rewoP :hcihw
fo
9.564,2
9.564,1
0.000,1
8.714,1
3.614,1
5.1
0.265,1
5.065,1
5.1
1.875
8.135
3.64
)iii ot
i( slareniM dna yrtsudnI
.6
3.306,1
3.306
0.000,1
9.725
3.625
5.1
7.507
2.407
5.1
5.384
2.074
3.31
seirtsudnI
llamS dna egalliV)i
6.268
6.268
β
0.098
0.098
β
3.658
3.658
β
6.49
6.16
0.33
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
210
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
BAJNUP
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.929,4
5.929,4
β
8.691,5
8.691,5
β
9.843,9
9.843,9
β
3.717,6
3.717,6
β
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
0.005,1
0.005,1
β
6.808,1
6.808,1
β
2.239,5
2.239,5
β
4.586,3
4.586,3
β
segdirB dna sdaoR)i
5.924,3
5.924,3
β
2.883,3
2.883,3
β
7.614,3
7.614,3
β
0.230,3
0.230,3
β
@@ srehtO)ii
6.46
9.93
7.42
7.26
9.73
7.42
0.301
9.73
1.56
3.56
3.52
0.04
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
2.814,6
7.079,1
5.744,4
0.994,3
0.809,1
0.195,1
1.358,6
1.369,1
9.988,4
5.587,5
5.209,4
0.388
)vi
ot
i( secivreS
cimonocE lareneG
.9
2.882
6.951
6.821
7.962
6.041
1.921
3.082
6.461
8.511
0.438
9.031
1.307
secivreS
cimonocE
- tairaterceS)i
2.92
7.71
5.11
5.53
0.91
5.61
5.73
5.71
0.02
5.72
0.51
5.21
msiruoT)ii
7.666,5
6.394,1
1.371,4
5.777,2
5.173,1
0.604,1
9.089,5
3.073,1
6.016,4
1.175,4
1.125,4
9.94
seilppuS liviC)iii
1.434
8.992
3.431
3.614
9.673
3.93
3.455
8.014
6.341
9.253
4.532
4.711
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
9.679,342
8.085,342
1.693
6.718,722
4.233,622
2.584,1
7.841,022
5.491,912
2.459
9.129,102
3.808,102
6.311
)F ot A( )secivreS
lareneG(
8.094,7
8.093,7
0.001
9.883,7
9.883,7
β
6.506,6
6.506,6
β
9.551,5
9.551,5
β
etatS fo
snagrO
.A
6.128,4
8.986,4
8.131
8.590,5
1.469,4
7.131
5.969,4
2.148,4
2.821
5.397,3
5.397,3
β
)ii + i( secivreS
lacsiF
.B
0.997,4
2.766,4
8.131
1.430,5
4.209,4
7.131
0.749,4
8.818,4
2.821
8.647,3
8.647,3
β
seituD
dna sexaT fo noitcelloC)i
7.22
7.22
β
7.16
7.16
β
5.22
5.22
β
7.64
7.64
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
4.100,99
4.100,99
β
2.728,88
2.728,88
β
3.027,48
3.027,48
β
1.202,87
1.202,87
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
β
β
β
β
β
β
0.029
0.029
β
β
β
β
tbeD fo ecnadiovA
4.100,99
4.100,99
β
2.728,88
2.728,88
β
3.008,38
3.008,38
β
1.202,87
1.202,87
β
)vi
ot i( stnemyaP tseretnI
.2
9.908,2
9.908,2
β
3.138,1
3.138,1
β
8.475,2
8.475,2
β
2.187,1
2.187,1
β
ertneC
eht morf
snaoL no tseretnI)i
7.011,57
7.011,57
β
2.859,76
2.859,76
β
9.336,26
9.336,26
β
5.640,06
5.640,06
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
0.010,25
0.010,25
β
5.106,44
5.106,44
β
2.545,14
2.545,14
β
0.802,73
0.802,73
β
snaoL
tekraM
no tseretnI )a(
7.445,02
7.445,02
β
7.268,02
7.268,02
β
3.831,91
3.831,91
β
6.339,02
6.339,02
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
2.126,61
2.126,61
β
9.212,51
9.212,51
β
3.401,51
3.401,51
β
4.562,31
4.562,31
β
.cte
,sdnuF tnedivorP
6.954,4
6.954,4
β
9.428,3
9.428,3
β
3.784,3
3.784,3
β
9.801,3
9.801,3
β
srehtO)vi
2.681,06
0.220,06
3.461
5.222,85
0.968,65
5.353,1
7.543,45
8.915,35
9.528
6.525,15
0.214,15
6.311
)v ot
i( secivreS evitartsinimdA
.D
1.138,1
1.207,1
0.921
3.857,1
7.816,1
5.931
8.197,1
3.455,1
5.732
0.134,1
9.873,1
0.25
secivreS
lareneG - tairaterceS)i
5.117,2
5.117,2
β
3.428,2
3.428,2
β
4.126,2
4.126,2
β
4.524,2
4.524,2
β
noitartsinimdA tcirtsiD)ii
6.820,54
3.810,54
3.01
7.393,34
7.202,24
0.191,1
2.296,93
2.241,93
0.055
9.625,83
0.674,83
9.05
eciloP)iii
2.903,4
2.903,4
β
4.411,4
4.411,4
β
2.634,4
2.634,4
β
7.008,3
7.008,3
β
skroW cilbuP)vi
9.503,6
9.082,6
0.52
9.131,6
9.801,6
0.32
2.408,5
7.567,5
4.83
6.143,5
9.033,5
7.01
++ srehtO)v
1.128,17
1.128,17
β
6.107,76
6.107,76
β
9.068,86
9.068,86
β
6.277,26
6.277,26
β
snoisneP
.E
7.556
7.556
β
7.185
7.185
β
7.646
7.646
β
2.274
2.274
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
4.716
4.716
β
0.155
0.155
β
0.716
0.716
β
5.544
5.544
β
seirettoL
etatS fo tnuocca no
tnemyaP
0.618,8
0.618,8
β
5.776,4
5.776,4
β
7.878,6
7.878,6
β
6.692,5
6.692,5
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
0.618,8
0.618,8
β
5.776,4
5.776,4
β
7.878,6
7.878,6
β
6.692,5
6.692,5
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
211
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
NAHTSAJAR
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.840,801,1
3.706,557
2.144,253
4.978,800,1
7.286,296
7.691,613
9.178,350,1
6.710,396
4.458,063
9.590,557
6.254,185
3.346,371
)III+II+I( ERUTIDNEPXE
LATOT
2.650,597
1.706,744
1.944,743
3.354,327
5.473,314
8.870,013
4.181,487
8.438,724
6.643,653
8.612,915
8.964,153
0.747,761
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
1.922,664
1.494,282
0.537,381
1.843,604
0.746,852
1.107,741
4.861,634
4.288,062
0.682,571
9.068,413
0.667,222
8.490,29
)21 ot 1( secivreS
laicoS
.A
7.670,732
0.782,741
7.987,98
6.869,402
1.430,731
5.439,76
5.492,722
7.723,541
8.669,18
6.670,351
3.327,021
3.353,23
erutluC dna
trA ,stropS ,noitacudE
.1
7.602,35
3.252,33
4.459,91
8.320,34
6.076,03
2.353,21
9.105,64
2.610,13
7.584,51
7.656,43
5.946,62
2.700,8
htlaeH
cilbuP dna lacideM
.2
1.962,03
2.372
9.599,92
8.791,52
7.642
1.159,42
9.397,92
5.182
5.215,92
3.784,9
8.202
5.482,9
erafleW ylimaF
.3
7.405,22
9.383,22
8.021
0.154,12
4.233,12
5.811
2.182,02
0.161,02
3.021
0.514,81
4.663,81
6.84
noitatinaS
dna ylppuS retaW
.4
0.870,1
0.870,1
β
2.377
2.377
β
6.296
6.296
β
3.506
3.506
β
gnisuoH
.5
5.688,03
1.783,91
4.994,11
0.233,92
9.162,71
1.070,21
7.424,23
4.245,71
2.288,41
0.081,42
5.449,51
5.532,8
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
3.699,11
5.165,1
8.434,01
6.022,11
7.264,1
9.757,9
3.046,11
4.835,1
9.101,01
4.855,01
1.962,1
4.982,9
sessalC drawkcaB
7.871,5
2.298,3
5.682,1
3.356,4
2.208,3
1.158
2.758,3
5.360,3
7.397
2.801,3
3.798,2
9.012
erafleW
ruobaL dna ruobaL
.8
8.627,54
5.060,93
4.666,6
0.903,24
8.555,63
1.357,5
0.351,83
4.237,13
5.024,6
1.942,83
2.513,62
9.339,11
erafleW
dna ytiruceS laicoS
.9
1.908,41
9.679
1.238,31
8.207,41
5.159
2.157,31
2.797,61
5.159
7.548,51
8.899,21
5.418
3.481,21
noitirtuN
.01
8.105,21
8.105,21
β
6.854,7
8.754,7
9.0
6.434,7
6.434,7
β
1.280,7
1.280,7
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
6.499
6.938
0.551
5.752,1
1.890,1
4.951
2.792,1
5.041,1
7.651
3.344,2
1.698,1
2.745
*srehtO
.21
1.728,823
1.311,561
1.417,361
2.501,713
5.727,451
7.773,261
1.310,843
5.259,661
6.060,181
9.553,402
7.307,821
2.256,57
)9 ot 1( secivreS cimonocE
.B
2.600,84
3.505,61
9.005,13
3.325,64
2.153,51
1.271,13
6.249,64
5.525,51
1.714,13
1.422,53
4.064,31
6.367,12
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
0.721,32
8.418,3
2.213,91
6.507,22
3.574,3
3.032,91
8.969,32
9.508,3
9.361,02
6.402,51
3.081,3
4.420,21
yrdnabsuH porC)i
9.418
6.482
3.035
3.016
0.952
3.153
7.687
3.572
4.115
6.174
9.132
6.932
noitavresnoC
retaW dna lioS)ii
3.441,7
6.556,4
7.884,2
5.230,7
4.573,4
1.756,2
7.234,7
0.473,4
7.850,3
0.177,5
0.877,3
0.399,1
yrdnabsuH laminA)iii
9.18
β
9.18
4.952
β
4.952
9.582
β
9.582
0.564,1
β
0.564,1
tnempoleveD yriaD)vi
9.541
6.421
3.12
6.931
6.421
9.41
2.841
0.521
2.32
9.231
5.811
4.41
seirehsiF)v
7.933,8
3.436,5
4.507,2
8.408,7
7.812,5
1.685,2
0.372,8
8.450,5
2.812,3
4.621,6
7.553,4
8.077,1
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
6.528,1
0.171,1
6.456
8.946,1
0.531,1
8.415
4.367,1
0.021,1
4.346
6.764,1
0.011,1
6.753
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
4.234,6
0.627
5.607,5
5.532,6
3.776
3.855,5
9.102,4
6.986
2.215,3
2.015,4
3.116
9.898,3
noitarepo-oC)ix
5.49
5.49
β
8.58
8.58
β
0.18
0.18
β
8.47
8.47
β
semmargorP
larutlucirgA rehtO)iix
5.916,421
2.366,12
3.659,201
7.046,811
5.805,12
2.231,79
5.274,431
4.956,02
1.318,311
2.409,94
2.412,61
9.986,33
tnempoleveD laruR
.2
5.31
β
5.31
6.8
β
6.8
5.31
β
5.31
5.9
β
5.9
semmargorP
aerA laicepS
.3
3.086,81
2.874,71
1.202,1
3.418,71
8.816,61
5.591,1
5.711,81
3.447,61
2.373,1
0.227,61
4.309,51
6.818
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
1.715,61
9.689,51
2.035
7.317,51
8.951,51
9.355
4.447,51
6.052,51
8.394
4.877,41
4.593,41
9.283
noitagirrI
muideM dna rojaM
)i
9.349,1
5.234,1
4.115
4.009,1
7.504,1
6.494
1.001,2
3.334,1
8.666
2.616,1
4.223,1
7.392
noitagirrI roniM
)ii
β
β
β
β
β
β
β
β
β
β
β
β
eganiarD
dna lortnoC doolF
)iii
5.306,101
7.591,59
8.704,6
3.682,29
4.847,68
0.835,5
4.273,401
0.663,89
4.600,6
4.991,27
9.786,66
5.115,5
ygrenE
.5
3.150,101
8.871,59
5.278,5
0.422,19
0.437,68
0.094,4
2.670,301
8.643,89
4.927,4
9.381,27
9.376,66
0.015,5
rewoP :hcihw
fo
8.607,3
6.879,2
2.827
2.520,3
6.401,2
6.029
2.976,2
8.056,1
4.820,1
7.717,2
3.527,1
4.299
)iii ot
i( slareniM dna yrtsudnI
.6
7.825
3.382
4.542
2.166
0.423
2.733
4.327
2.453
2.963
8.319
7.123
1.295
seirtsudnI
llamS dna egalliV)i
8.447
2.744
6.792
0.463,2
7.087,1
3.385
8.559,1
5.692,1
3.956
9.387,1
6.304,1
3.083
@seirtsudnI)ii
4.334,2
1.842,2
3.581
β
β
β
β
β
β
0.02
β
0.02
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
212
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
NAHTSAJAR
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.121,02
4.660,01
0.550,01
9.394,81
3.671,11
6.713,7
4.671,91
7.487,21
7.193,6
7.201,61
6.089,01
1.221,5
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
4.690,71
4.664,8
0.036,8
2.707,41
8.643,9
4.063,5
0.701,61
3.552,11
7.158,4
1.603,41
7.243,9
4.369,4
segdirB dna sdaoR)i
0.520,3
0.006,1
0.524,1
6.687,3
4.928,1
2.759,1
4.960,3
4.925,1
0.045,1
6.697,1
9.736,1
7.851
@@ srehtO)ii
7.427
2.66
5.856
3.108
6.06
7.047
3.768
9.56
3.108
3.091
5.75
7.231
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
1.153,11
4.951,1
7.191,01
6.115,91
2.951,1
4.253,81
7.173,12
8.551,1
8.512,02
1.682,11
4.476,3
7.116,7
)vi
ot
i( secivreS
cimonocE lareneG
.9
8.531,2
6.782
2.848,1
8.804,1
8.852
0.051,1
2.455,1
1.832
0.613,1
3.699
9.791
4.897
secivreS
cimonocE
- tairaterceS)i
3.195
1.38
2.805
1.123
5.47
5.642
2.623
7.87
6.742
7.852
2.86
5.091
msiruoT)ii
3.142,4
3.274
0.967,3
3.485,8
9.334
4.051,8
9.669,7
4.534
5.135,7
7.609,8
7.170,3
0.538,5
seilppuS liviC)iii
7.283,4
4.613
3.660,4
4.791,9
0.293
4.508,8
4.425,11
7.304
7.021,11
4.421,1
6.633
7.787
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
9.689,213
8.499,703
1.299,4
2.324,582
4.503,972
9.711,6
1.588,862
4.773,462
7.705,4
2.293,332
9.089,922
3.114,3
)F ot A( )secivreS
lareneG(
6.011,8
4.259,7
1.851
4.154,9
9.403,9
5.641
6.722,9
8.080,9
9.641
4.199,7
6.958,7
8.131
etatS fo
snagrO
.A
1.424,51
4.249,01
6.184,4
7.826,51
3.860,01
4.065,5
4.287,31
0.638,9
4.649,3
7.432,11
8.963,8
9.468,2
)ii + i( secivreS
lacsiF
.B
9.204,51
3.129,01
6.184,4
4.906,51
1.940,01
4.065,5
8.167,31
4.518,9
4.649,3
6.712,11
7.253,8
9.468,2
seituD
dna sexaT fo noitcelloC)i
2.12
2.12
β
3.91
3.91
β
6.02
6.02
β
1.71
0.71
1.0
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
9.026,911
9.026,911
β
8.152,501
8.152,501
β
6.307,401
6.307,401
β
0.236,09
0.236,09
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
β
β
β
β
β
β
β
β
β
β
β
β
tbeD fo ecnadiovA
9.026,911
9.026,911
β
8.152,501
8.152,501
β
6.307,401
6.307,401
β
0.236,09
0.236,09
β
)vi
ot i( stnemyaP tseretnI
.2
4.895,4
4.895,4
β
2.308,4
2.308,4
β
7.472,5
7.472,5
β
7.020,5
7.020,5
β
ertneC
eht morf
snaoL no tseretnI)i
0.378,38
0.378,38
β
6.555,17
6.555,17
β
1.151,17
1.151,17
β
7.427,95
7.427,95
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
5.306,35
5.306,35
β
0.642,54
0.642,54
β
5.742,54
5.742,54
β
6.331,73
6.331,73
β
snaoL
tekraM
no tseretnI )a(
0.524,81
0.524,81
β
2.656,91
2.656,91
β
1.581,91
1.581,91
β
1.807,81
1.807,81
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
6.089,92
6.089,92
β
6.043,72
6.043,72
β
3.632,72
3.632,72
β
7.486,42
7.486,42
β
.cte
,sdnuF tnedivorP
9.861,1
9.861,1
β
4.255,1
4.255,1
β
4.140,1
4.140,1
β
9.102,1
9.102,1
β
srehtO)vi
9.292,25
5.049,15
4.253
3.549,94
3.435,94
0.114
1.325,64
7.801,64
4.414
8.982,14
2.578,04
6.414
)v ot
i( secivreS evitartsinimdA
.D
8.908,1
8.808,1
9.0
9.846,1
9.746,1
9.0
6.126,1
6.026,1
0.1
8.494,1
0.494,1
8.0
secivreS
lareneG - tairaterceS)i
3.631,4
3.631,4
β
3.517,3
3.517,3
β
4.538,3
4.538,3
β
1.932,3
1.932,3
β
noitartsinimdA tcirtsiD)ii
4.849,83
3.818,83
0.031
2.876,73
6.505,73
6.271
5.517,43
9.735,43
6.771
1.285,03
9.152,03
2.033
eciloP)iii
1.371,1
1.361,1
0.01
4.236
7.916
6.21
4.636
7.326
6.21
9.397
9.397
β
skroW cilbuP)vi
4.522,6
9.310,6
4.112
5.072,6
7.540,6
8.422
2.417,5
1.194,5
2.322
9.971,5
3.690,5
6.38
++ srehtO)v
9.867,011
9.867,011
β
2.169,89
2.169,89
β
0.283,09
0.283,09
β
5.410,87
5.410,87
β
snoisneP
.E
5.967,6
5.967,6
β
8.481,6
8.481,6
β
3.662,4
3.662,4
β
8.922,4
8.922,4
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
4.5
4.5
β
9.2
8.2
1.0
4.508
3.508
1.0
9.684,2
9.1
0.584,2
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
4.5
4.5
β
9.2
8.2
1.0
4.508
3.508
1.0
9.684,2
9.1
0.584,2
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
213
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
MIKKIS
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.585,24
5.820,52
6.655,71
4.459,84
3.267,03
1.291,81
6.983,84
3.131,03
3.852,81
6.975,43
2.840,42
3.135,01
)III+II+I( ERUTIDNEPXE
LATOT
3.889,82
6.037,11
7.752,71
5.599,72
5.162,01
0.437,71
4.200,82
5.642,01
0.657,71
4.545,91
0.567,9
5.087,9
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
3.181,41
6.081,7
6.000,7
6.460,51
1.015,6
5.455,8
9.630,51
5.105,6
4.535,8
6.367,21
8.315,6
8.942,6
)21 ot 1( secivreS
laicoS
.A
3.592,8
2.651,5
0.931,3
7.578,7
3.146,4
4.432,3
4.368,7
3.146,4
2.222,3
4.064,6
9.599,3
5.464,2
erutluC dna
trA ,stropS ,noitacudE
.1
1.779,1
0.670,1
1.109
9.785,2
7.189
2.606,1
9.285,2
7.679
2.606,1
8.544,1
0.278
7.375
htlaeH
cilbuP dna lacideM
.2
5.132
β
5.132
4.171
β
4.171
4.171
β
4.171
0.861
β
0.861
erafleW ylimaF
.3
4.804
7.191
6.612
8.353
8.141
0.212
7.153
7.931
0.212
9.122
4.521
5.69
noitatinaS
dna ylppuS retaW
.4
1.526
1.35
0.275
3.578,1
4.25
9.228,1
3.559,1
4.25
9.209,1
4.007,1
2.75
2.346,1
gnisuoH
.5
2.853
3.28
9.572
8.214
2.97
7.333
8.214
2.97
7.333
9.204
2.95
7.343
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
2.915
4.74
7.174
6.364
6.24
0.124
7.593
5.24
2.353
9.952
9.44
0.512
sessalC drawkcaB
4.96
8.72
6.14
1.17
0.72
1.44
7.96
6.52
1.44
5.85
2.22
3.63
erafleW
ruobaL dna ruobaL
.8
5.090,1
6.19
9.899
2.906
0.79
2.215
2.906
0.79
2.215
4.044
1.37
3.763
erafleW
dna ytiruceS laicoS
.9
4.051
3.31
0.731
3.331
3.21
0.121
3.411
3.21
0.201
9.78
1.11
9.67
noitirtuN
.01
5.123
5.123
β
5.213
5.213
β
5.213
5.213
β
2.230,1
8.030,1
4.1
seitimalaC
larutaN
fo tnuocca no feileR
.11
9.431
7.911
2.51
9.791
2.221
7.57
9.791
2.221
7.57
3.584
9.122
4.362
*srehtO
.21
0.708,41
9.945,4
1.752,01
9.039,21
4.157,3
5.971,9
5.569,21
0.547,3
6.022,9
9.187,6
2.152,3
6.035,3
)9 ot 1( secivreS cimonocE
.B
9.898,3
0.065,1
9.833,2
9.782,4
6.763,1
3.029,2
5.112,4
8.663,1
6.448,2
0.653,2
5.232,1
5.321,1
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
5.565,1
9.534
6.921,1
3.773,1
7.853
6.810,1
8.623,1
9.753
9.869
9.455
3.392
6.162
yrdnabsuH porC)i
2.911
7.97
6.93
5.592
3.66
2.922
5.592
3.66
2.922
4.07
9.16
4.8
noitavresnoC
retaW dna lioS)ii
6.324
3.962
4.451
6.153
3.422
3.721
6.153
3.422
3.721
7.133
9.212
7.811
yrdnabsuH laminA)iii
3.401
3.4
0.001
5.04
4.6
1.43
6.02
4.6
2.41
4.71
5.5
9.11
tnempoleveD yriaD)vi
3.15
7.74
6.3
6.25
7.54
8.6
6.25
7.54
8.6
1.54
0.04
2.5
seirehsiF)v
6.100,1
9.273
6.826
0.005,1
6.833
4.161,1
0.005,1
6.833
4.161,1
8.777
7.013
1.764
efiL
dliW dna yrtseroF
)iv
7.17
7.46
0.7
6.64
6.24
0.4
6.64
6.24
0.4
0.74
0.34
0.4
snoitatnalP)iiv
8.222
8.581
0.73
9.182
0.881
8.39
9.572
0.881
8.78
0.052
6.871
3.17
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
1.911
7.99
5.91
2.011
0.79
2.31
2.011
0.79
2.31
6.901
5.68
1.32
noitarepo-oC)ix
8.912
β
8.912
8.132
β
8.132
8.132
β
8.132
2.251
β
2.251
semmargorP
larutlucirgA rehtO)iix
9.877,1
9.23
0.647,1
1.053,2
9.82
2.123,2
7.594,2
9.82
8.664,2
9.139
3.12
5.019
tnempoleveD laruR
.2
0.02
β
0.02
0.02
β
0.02
0.02
β
0.02
9.9
β
9.9
semmargorP
aerA laicepS
.3
4.830,1
6.92
8.800,1
8.584,1
3.63
4.944,1
6.584,1
3.63
3.944,1
8.793
9.22
0.573
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
noitagirrI
muideM dna rojaM
)i
4.739
6.82
8.809
8.464,1
3.53
4.924,1
6.464,1
3.53
3.924,1
8.673
9.12
0.553
noitagirrI roniM
)ii
0.101
0.1
0.001
0.12
0.1
0.02
0.12
0.1
0.02
0.12
0.1
0.02
eganiarD
dna lortnoC doolF
)iii
7.832,2
0.437,1
8.405
6.743,1
5.539
1.214
6.643,1
5.539
1.114
4.402,1
4.708
0.793
ygrenE
.5
7.322,2
0.437,1
8.984
6.133,1
5.539
1.693
6.133,1
5.539
1.693
6.391,1
4.708
2.683
rewoP :hcihw
fo
9.273
4.221
5.052
7.876
9.411
8.365
8.156
3.411
5.735
1.992
5.99
5.991
)iii ot
i( slareniM dna yrtsudnI
.6
3.752
3.29
0.561
3.703
8.58
5.122
7.603
2.58
5.122
6.391
1.57
5.811
seirtsudnI
llamS dna egalliV)i
6.511
1.03
5.58
4.173
1.92
3.243
1.543
1.92
0.613
5.501
5.42
0.18
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
214
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
MIKKIS
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.833,1
6.269
6.573
1.594,1
2.451,1
9.043
0.094,1
1.941,1
9.043
4.772,1
8.779
7.992
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
4.088
4.945
0.133
6.499
0.837
7.652
0.299
4.537
7.652
9.088
5.426
4.652
segdirB dna sdaoR)i
7.754
2.314
5.44
4.005
2.614
2.48
9.794
7.314
2.48
5.693
3.353
2.34
@@ srehtO)ii
3.65
β
3.65
3.58
β
3.58
3.58
β
3.58
4.22
β
4.22
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
7.460,4
6.801
2.659,3
5.081,1
0.411
5.660,1
1.971,1
0.411
1.560,1
9.282
8.98
1.391
)vi
ot
i( secivreS
cimonocE lareneG
.9
6.006,3
3.7
3.395,3
9.967
5.6
5.367
9.967
5.6
5.367
3.26
4.5
9.65
secivreS
cimonocE
- tairaterceS)i
4.422
6.96
8.451
2.812
6.55
6.261
2.812
6.55
6.261
7.911
7.05
0.96
msiruoT)ii
4.7
4.7
β
2.6
2.6
β
2.6
2.6
β
9.4
9.4
β
seilppuS liviC)iii
4.232
2.42
1.802
1.681
7.54
4.041
7.481
7.54
0.931
0.69
8.82
2.76
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
0.772,31
1.879,21
8.892
7.113,02
5.358,91
2.854
9.937,91
6.732,91
3.205
0.086,41
2.929,31
9.057
)F ot A( )secivreS
lareneG(
8.487
8.487
β
8.300,1
9.689
9.61
4.199
5.479
9.61
5.395
5.395
β
etatS fo
snagrO
.A
1.410,1
1.410,1
β
5.375,1
8.055,1
7.22
6.789
9.469
7.22
8.988
6.148
2.84
)ii + i( secivreS
lacsiF
.B
1.410,1
1.410,1
β
5.375,1
8.055,1
7.22
6.789
9.469
7.22
8.988
6.148
2.84
seituD
dna sexaT fo noitcelloC)i
β
β
β
β
β
β
β
β
β
β
β
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
7.258,2
7.258,2
β
0.915,2
0.915,2
β
0.915,2
0.915,2
β
6.112,2
6.112,2
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
0.021
0.021
β
0.021
0.021
β
0.021
0.021
β
0.021
0.021
β
tbeD fo ecnadiovA
7.237,2
7.237,2
β
0.993,2
0.993,2
β
0.993,2
0.993,2
β
6.190,2
6.190,2
β
)vi
ot i( stnemyaP tseretnI
.2
2.711
2.711
β
0.521
0.521
β
0.521
0.521
β
6.711
6.711
β
ertneC
eht morf
snaoL no tseretnI)i
4.960,2
4.960,2
β
7.848,1
7.848,1
β
7.848,1
7.848,1
β
7.474,1
7.474,1
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
5.365,1
5.365,1
β
7.953,1
7.953,1
β
7.953,1
7.953,1
β
4.460,1
4.460,1
β
snaoL
tekraM
no tseretnI )a(
0.681
0.681
β
1.361
1.361
β
1.361
1.361
β
5.941
5.941
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
0.645
0.645
β
3.524
3.524
β
3.524
3.524
β
4.994
4.994
β
.cte
,sdnuF tnedivorP
β
β
β
β
β
β
β
β
β
β
β
β
srehtO)vi
4.982,4
5.099,3
8.892
3.172,4
7.258,3
6.814
4.992,4
7.638,3
7.264
9.469,3
3.262,3
7.207
)v ot
i( secivreS evitartsinimdA
.D
7.773
7.773
β
2.983
4.273
8.61
5.183
7.463
8.61
8.843
8.833
0.01
secivreS
lareneG - tairaterceS)i
5.361
9.751
6.5
1.821
1.121
0.7
1.821
1.121
0.7
1.89
2.59
8.2
noitartsinimdA tcirtsiD)ii
1.276,2
0.926,2
1.34
3.737,2
0.916,2
3.811
7.637,2
4.816,2
3.811
0.912,2
2.391,2
9.52
eciloP)iii
0.452
7.802
3.54
6.552
2.651
5.99
7.252
2.351
5.99
7.514
0.841
8.762
skroW cilbuP)vi
1.228
2.716
9.402
0.167
0.485
0.771
4.008
2.975
1.122
3.388
1.784
2.693
++ srehtO)v
4.081,4
4.081,4
β
2.013,3
2.013,3
β
7.803,3
7.803,3
β
3.606,2
3.606,2
β
snoisneP
.E
6.551
6.551
β
9.336,7
9.336,7
β
9.336,7
9.336,7
β
8.314,4
8.314,4
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
5.51
5.51
β
3.215,7
3.215,7
β
3.215,7
3.215,7
β
0.923,4
0.923,4
β
seirettoL
etatS fo tnuocca no
tnemyaP
8.913
8.913
β
3.746
3.746
β
3.746
3.746
β
1.453
1.453
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
8.913
8.913
β
3.746
3.746
β
3.746
3.746
β
1.453
1.453
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
215
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
UDAN
LIMAT
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.379,274,1
6.629,970,1
9.640,393
8.352,763,1
5.895,579
2.556,193
7.400,172,1
0.418,969
7.091,103
7.642,890,1
2.468,238
5.283,562
)III+II+I( ERUTIDNEPXE
LATOT
4.360,968
4.820,694
9.430,373
9.870,818
5.201,444
4.679,373
5.380,037
9.640,844
7.630,282
5.302,946
1.459,293
4.942,652
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
8.983,145
9.806,272
9.087,862
9.922,825
8.122,942
2.800,972
7.486,974
4.039,242
2.457,632
0.957,254
6.820,132
4.037,122
)21 ot 1( secivreS
laicoS
.A
8.439,552
8.925,191
0.504,46
7.448,242
8.599,771
0.948,46
3.643,222
1.837,371
1.806,84
4.855,112
6.742,761
8.013,44
erutluC dna
trA ,stropS ,noitacudE
.1
9.543,75
4.468,54
5.184,11
6.256,45
8.420,24
8.726,21
5.288,15
5.446,04
0.832,11
1.568,44
2.558,33
0.010,11
htlaeH
cilbuP dna lacideM
.2
3.508,81
9.711,1
4.786,71
6.550,81
1.760,1
5.889,61
0.778,9
5.090,1
5.687,8
7.244,9
3.400,1
5.834,8
erafleW ylimaF
.3
6.441,6
4.094
2.456,5
3.747,7
5.833
9.804,7
4.004,3
7.572
6.421,3
3.883,6
3.417
0.476,5
noitatinaS
dna ylppuS retaW
.4
1.798,91
3.355
8.343,91
5.754,71
9.456
6.208,61
3.698,5
1.925
2.763,5
5.479,2
7.408
8.961,2
gnisuoH
.5
4.429,9
4.137,1
9.291,8
6.194,52
5.278,1
0.916,32
0.874,22
7.268,1
3.516,02
7.576,91
2.249
5.337,81
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
2.803,03
6.937,01
6.865,91
8.369,82
4.495,8
4.963,02
7.171,82
6.983,8
1.287,91
6.733,82
1.952,7
5.870,12
sessalC drawkcaB
0.908,5
6.500,3
4.308,2
7.616,4
0.687,2
7.038,1
2.124,5
7.560,3
5.553,2
9.627,3
6.833,2
3.883,1
erafleW
ruobaL dna ruobaL
.8
7.256,89
7.700,9
0.546,98
1.532,39
4.041,9
6.490,48
1.076,69
9.309,7
3.667,88
8.684,98
1.528,6
7.166,28
erafleW
dna ytiruceS laicoS
.9
7.359,92
9.203
9.056,92
2.911,03
8.192
4.728,92
0.837,72
9.763
2.073,72
0.319,52
4.623
7.685,52
noitirtuN
.01
3.797,6
3.797,6
β
3.796,2
3.796,2
β
1.526,3
1.526,3
β
4.759,7
4.759,7
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
8.618,1
7.864,1
1.843
6.843,2
2.857,1
4.095
0.871,2
6.734,1
3.047
5.234,2
0.457,1
5.876
*srehtO
.21
6.376,723
5.914,322
1.452,401
0.948,982
8.088,491
2.869,49
9.893,052
4.611,502
5.282,54
5.444,691
4.529,161
1.915,43
)9 ot 1( secivreS cimonocE
.B
4.073,58
3.304,95
0.769,52
9.378,77
7.619,25
2.759,42
1.523,27
9.216,84
2.217,32
8.889,76
2.938,44
6.941,32
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
0.677,45
3.659,04
7.918,31
2.898,74
8.342,53
4.456,21
2.594,44
1.757,23
2.837,11
6.283,34
9.021,13
7.162,21
yrdnabsuH porC)i
3.249
2.244
0.005
7.523,1
0.134
7.498
2.198
8.114
4.974
6.729
2.104
5.625
noitavresnoC
retaW dna lioS)ii
1.873,8
3.455,4
9.328,3
8.750,8
4.502,4
4.258,3
6.901,8
7.596,3
9.314,4
9.114,7
1.106,3
8.018,3
yrdnabsuH laminA)iii
3.024
9.203
4.711
1.317
1.282
0.134
3.535
7.752
6.772
7.434
4.442
3.091
tnempoleveD yriaD)vi
8.189,3
9.454
9.625,3
3.482,3
6.284
7.108,2
0.467,2
6.304
4.063,2
3.264,2
5.173
8.090,2
seirehsiF)v
2.183,4
3.667,3
9.416
6.548,3
0.043,3
6.505
6.154,3
8.321,3
8.723
4.377,2
1.950,2
3.417
efiL
dliW dna yrtseroF
)iv
6.0
6.0
β
4.0
4.0
β
4.0
4.0
β
3.0
3.0
β
snoitatnalP)iiv
4.461
β
4.461
9.601
β
9.601
4.461
β
4.461
1.401
β
1.401
gnisuoheraW
dna egarotS dooF)iiiv
7.063,5
9.170,4
8.882,1
8.373,5
9.338,3
9.935,1
8.134,5
7.736,3
1.497,1
6.780,5
2.108,2
4.682,2
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
4.817,5
4.706,3
0.111,2
8.100,6
0.558,3
8.641,2
7.653,5
4.902,3
3.741,2
3.162,4
4.011,3
9.051,1
noitarepo-oC)ix
6.642,1
6.642,1
1.0
1.662,1
3.242,1
9.32
9.421,1
6.511,1
3.9
1.341,1
2.921,1
9.31
semmargorP
larutlucirgA rehtO)iix
4.224,17
4.016,8
0.218,26
9.543,86
3.350,8
5.292,06
6.651,91
4.946,7
2.705,11
4.337,9
9.176,6
5.160,3
tnempoleveD laruR
.2
0.33
9.22
0.01
7.17
7.81
0.35
2.45
1.02
1.43
0.84
5.01
5.73
semmargorP
aerA laicepS
.3
9.599,31
9.086,31
0.513
7.025,31
7.358,21
0.766
5.128,11
4.162,11
1.065
3.537,21
4.291,21
9.245
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
2.156,11
5.674,11
7.471
2.302,11
4.927,01
9.374
5.234,9
4.011,9
0.223
3.594,01
4.681,01
9.803
noitagirrI
muideM dna rojaM
)i
3.800,1
3.800,1
β
9.339
2.829
7.5
0.769
9.459
1.21
3.798
7.848
6.84
noitagirrI roniM
)ii
1.691,1
1.691,1
β
1.691,1
1.691,1
β
1.691,1
1.691,1
β
3.751,1
3.751,1
β
eganiarD
dna lortnoC doolF
)iii
7.849,45
8.989,05
9.859,3
5.352,53
8.159,43
8.103
7.904,34
2.401,34
5.503
8.386,81
6.656,81
2.72
ygrenE
.5
0.318,45
8.989,05
2.328,3
8.159,43
8.159,43
β
2.401,34
2.401,34
β
6.656,81
6.656,81
β
rewoP :hcihw
fo
5.717,62
5.670,12
0.146,5
1.733,71
3.951,11
9.771,6
0.121,72
1.608,91
9.413,7
7.674,51
0.885,9
7.888,5
)iii ot
i( slareniM dna yrtsudnI
.6
9.881,01
7.018,5
3.873,4
8.494,9
8.519,4
0.975,4
1.605,9
9.495,4
1.119,4
0.084,9
4.733,4
6.241,5
seirtsudnI
llamS dna egalliV)i
6.825,61
8.562,51
8.262,1
3.248,7
4.342,6
9.895,1
9.416,71
2.112,51
8.304,2
7.699,5
7.052,5
1.647
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
216
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
UDAN
LIMAT
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
6.232,41
6.921,41
0.301
1.847,02
5.245,02
6.502
3.737,91
8.933,91
5.793
4.274,91
3.688,81
1.685
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
7.489,8
7.598,8
0.98
1.005,41
5.803,41
6.191
4.305,41
9.501,41
4.793
4.340,41
3.956,31
2.483
segdirB dna sdaoR)i
9.742,5
9.332,5
0.41
9.742,6
9.332,6
0.41
9.332,5
9.332,5
β
0.924,5
0.722,5
9.102
@@ srehtO)ii
8.551
0.58
8.07
8.461
4.411
3.05
4.461
6.511
8.84
3.721
8.93
5.78
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
4.797,06
2.124,55
3.673,5
3.335,65
4.072,45
9.262,2
0.906,65
8.602,55
2.204,1
8.871,25
8.040,15
1.831,1
)vi
ot
i( secivreS
cimonocE lareneG
.9
1.556
6.765
5.78
7.409
8.745
9.653
9.968
1.255
8.713
1.247
4.015
7.132
secivreS
cimonocE
- tairaterceS)i
4.132
9.102
5.92
8.343
6.291
2.151
0.643
5.581
5.061
2.381
9.57
4.701
msiruoT)ii
5.139,45
7.377,35
7.751,1
0.164,35
4.427,25
6.637
4.222,45
4.227,35
0.005
8.937,94
2.537,94
7.4
seilppuS liviC)iii
4.979,4
9.778
5.101,4
9.328,1
7.508
2.810,1
7.071,1
8.647
9.324
6.315,1
3.917
3.497
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
5.034,874
4.597,574
1.536,2
9.694,534
7.394,334
1.300,2
0.340,124
9.121,814
1.129,2
4.292,753
7.736,653
7.456
)F ot A( )secivreS
lareneG(
1.140,01
1.140,01
β
3.678,11
0.027,11
3.651
6.479,01
8.108,01
8.271
7.861,8
2.169,7
4.702
etatS fo
snagrO
.A
7.818,11
5.005,11
2.813
2.691,11
2.594,01
0.107
4.544,11
1.148,01
4.406
7.255,8
4.394,8
4.95
)ii + i( secivreS
lacsiF
.B
7.637,11
5.814,11
2.813
7.980,11
7.883,01
0.107
4.143,11
0.737,01
4.406
5.383,8
1.423,8
4.95
seituD
dna sexaT fo noitcelloC)i
0.28
0.28
β
5.601
5.601
β
1.401
1.401
β
2.961
2.961
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
5.549,471
5.549,471
β
5.032,151
5.032,151
β
2.053,151
2.053,151
β
8.929,621
8.929,621
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
9.545,3
9.545,3
β
0.083,3
0.083,3
β
0.000,4
0.000,4
β
1.288,2
1.288,2
β
tbeD fo ecnadiovA
6.993,171
6.993,171
β
5.058,741
5.058,741
β
2.053,741
2.053,741
β
8.740,421
8.740,421
β
)vi
ot i( stnemyaP tseretnI
.2
5.598,4
5.598,4
β
3.409,4
3.409,4
β
7.210,5
7.210,5
β
6.410,5
6.410,5
β
ertneC
eht morf
snaoL no tseretnI)i
2.574,341
2.574,341
β
3.697,121
3.697,121
β
4.814,221
4.814,221
β
2.786,79
2.786,79
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
5.483,011
5.483,011
β
6.716,68
6.716,68
β
2.673,88
2.673,88
β
3.672,76
3.672,76
β
snaoL
tekraM
no tseretnI )a(
4.233,12
4.233,12
β
8.062,32
8.062,32
β
8.499,12
8.499,12
β
9.725,22
9.725,22
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
3.304,12
3.304,12
β
0.064,91
0.064,91
β
8.714,81
8.714,81
β
9.578,91
9.578,91
β
.cte
,sdnuF tnedivorP
7.526,1
7.526,1
β
8.986,1
8.986,1
β
2.105,1
2.105,1
β
0.074,1
0.074,1
β
srehtO)vi
2.182,87
3.469,57
8.613,2
6.641,47
9.000,37
8.541,1
3.047,96
4.695,76
9.341,2
7.494,26
7.721,26
1.763
)v ot
i( secivreS evitartsinimdA
.D
0.197,3
0.197,1
0.000,2
9.884,2
9.837,1
0.057
3.955,3
3.955,1
0.000,2
8.956,1
8.984,1
0.071
secivreS
lareneG - tairaterceS)i
8.536,11
8.536,11
β
3.951,11
3.951,11
β
7.085,01
7.085,01
β
5.362,9
5.362,9
β
noitartsinimdA tcirtsiD)ii
4.091,84
4.091,84
β
5.085,64
1.673,64
4.402
6.604,24
6.604,24
β
1.995,93
1.995,93
β
eciloP)iii
9.843,4
9.843,4
β
6.360,4
6.360,4
β
4.560,4
4.560,4
β
8.352,3
8.352,3
β
skroW cilbuP)vi
0.513,01
1.899,9
8.613
3.458,9
9.266,9
4.191
4.821,9
4.489,8
9.341
6.817,8
5.125,8
1.791
++ srehtO)v
0.433,991
0.433,991
β
4.863,381
4.863,381
β
0.276,171
0.276,171
β
0.306,841
0.306,841
β
snoisneP
.E
0.010,4
0.010,4
β
8.876,3
8.876,3
β
4.068,5
4.068,5
β
4.345,2
7.225,2
8.02
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
7.974,521
8.201,801
9.673,71
0.876,311
3.200,89
7.576,51
2.878,911
2.546,301
0.332,61
8.057,19
4.272,38
4.874,8
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
7.974,521
8.201,801
9.673,71
0.876,311
3.200,89
7.576,51
2.878,911
2.546,301
0.332,61
8.057,19
4.272,38
4.874,8
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
217
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
ANAGNALET
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.200,639
3.669,295
8.530,343
6.790,897
2.467,684
3.333,113
1.398,797
2.467,684
9.821,113
β
β
β
)III+II+I( ERUTIDNEPXE
LATOT
1.358,496
6.259,453
5.009,933
2.057,185
7.033,772
5.914,403
7.545,185
7.033,772
0.512,403
β
β
β
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
0.313,204
1.697,371
8.615,822
0.948,713
5.359,221
5.598,491
5.847,713
5.359,221
0.597,491
β
β
β
)21 ot 1( secivreS
laicoS
.A
6.135,111
6.148,79
0.096,31
5.959,301
1.981,17
4.077,23
5.959,301
1.981,17
4.077,23
β
β
β
erutluC dna
trA ,stropS ,noitacudE
.1
8.128,23
5.292,62
3.925,6
4.536,52
7.533,81
7.992,7
4.536,52
7.533,81
7.992,7
β
β
β
htlaeH
cilbuP dna lacideM
.2
8.373,21
6.16
2.213,21
8.457,9
7.74
1.707,9
8.457,9
7.74
1.707,9
β
β
β
erafleW ylimaF
.3
7.339,74
9.364,1
8.964,64
1.041,01
4.910,1
7.021,9
4.780,01
4.910,1
9.760,9
β
β
β
noitatinaS
dna ylppuS retaW
.4
1.184,01
7.49
4.683,01
8.080,01
9.08
9.999,9
8.080,01
9.08
9.999,9
β
β
β
gnisuoH
.5
8.618,02
0.017,6
8.601,41
6.551,13
5.430,11
1.121,02
6.551,13
5.430,11
1.121,02
β
β
β
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
7.274,47
3.117,21
4.167,16
1.968,96
3.483,9
8.484,06
8.537,96
3.483,9
6.153,06
β
β
β
sessalC drawkcaB
2.720,3
7.747,1
6.972,1
3.450,3
5.422,1
8.928,1
3.450,3
5.422,1
8.928,1
β
β
β
erafleW
ruobaL dna ruobaL
.8
7.229,25
4.240,1
3.088,15
8.578,03
5.677
3.990,03
3.169,03
5.677
8.481,03
β
β
β
erafleW
dna ytiruceS laicoS
.9
1.231,03
0.130,22
1.101,8
5.540,91
8.520,7
7.910,21
5.540,91
8.520,7
7.910,21
β
β
β
noitirtuN
.01
8.757,2
8.757,2
β
8.961,2
8.961,2
β
8.961,2
8.961,2
β
β
β
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
8.140,3
8.140,1
0.000,2
3.801,2
3.566
0.344,1
3.801,2
3.566
0.344,1
β
β
β
*srehtO
.21
1.045,292
5.651,181
6.383,111
1.109,362
2.773,451
0.425,901
2.797,362
2.773,451
0.024,901
β
β
β
)9 ot 1( secivreS cimonocE
.B
4.859,18
0.256,75
5.603,42
9.146,48
6.448,35
3.797,03
1.675,48
6.448,35
5.137,03
β
β
β
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
2.855,02
9.435,2
3.320,81
7.883,22
6.719,1
1.174,02
7.883,22
6.719,1
1.174,02
β
β
β
yrdnabsuH porC)i
8.869
4.732
4.137
3.079,2
6.481
6.587,2
3.079,2
6.481
6.587,2
β
β
β
noitavresnoC
retaW dna lioS)ii
9.748,4
3.910,4
6.828
1.558,4
6.489,2
5.078,1
1.558,4
6.489,2
5.078,1
β
β
β
yrdnabsuH laminA)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD)vi
9.919
9.973
1.045
1.619
5.662
6.946
1.619
5.662
6.946
β
β
β
seirehsiF)v
4.593,6
4.438,2
0.165,3
7.668,5
3.798,1
4.969,3
9.008,5
3.798,1
6.309,3
β
β
β
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
0.5
β
0.5
0.434
β
0.434
0.434
β
0.434
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
2.837,3
2.837,3
β
0.601,3
0.601,3
β
0.601,3
0.601,3
β
β
β
β
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
9.249,1
9.523,1
1.716
1.135,1
0.419
1.716
1.135,1
0.419
1.716
β
β
β
noitarepo-oC)ix
0.285,24
0.285,24
β
9.375,24
9.375,24
β
9.375,24
9.375,24
β
β
β
β
semmargorP
larutlucirgA rehtO)iix
5.814,07
1.894,71
4.029,25
9.852,48
2.420,72
7.432,75
4.371,48
2.420,72
2.941,75
β
β
β
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
aerA laicepS
.3
1.948,64
5.119,13
6.739,41
3.738,92
5.976,82
8.751,1
4.918,92
5.976,82
0.041,1
β
β
β
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
4.581,23
2.602,13
2.979
6.191,92
2.312,82
5.879
7.371,92
2.312,82
6.069
β
β
β
noitagirrI
muideM dna rojaM
)i
6.305,41
8.407
8.897,31
8.284
8.564
0.71
8.284
8.564
0.71
β
β
β
noitagirrI roniM
)ii
6.0
6.0
β
5.0
5.0
β
5.0
5.0
β
β
β
β
eganiarD
dna lortnoC doolF
)iii
1.551,36
7.715,06
4.736,2
2.123,53
7.386,23
4.736,2
2.123,53
7.386,23
4.736,2
β
β
β
ygrenE
.5
4.047,06
5.605,06
0.432
7.909,23
7.576,23
0.432
7.909,23
7.576,23
0.432
β
β
β
rewoP :hcihw
fo
4.812,31
2.619,1
2.203,11
7.165,21
7.253,1
0.902,11
7.165,21
7.253,1
0.902,11
β
β
β
)iii ot
i( slareniM dna yrtsudnI
.6
7.400,6
7.920,1
0.579,4
8.367,6
1.217
7.150,6
8.367,6
1.217
7.150,6
β
β
β
seirtsudnI
llamS dna egalliV)i
2.511,7
5.688
7.822,6
5.445,5
6.046
8.309,4
5.445,5
6.046
8.309,4
β
β
β
@seirtsudnI)ii
5.89
β
5.89
5.352
β
5.352
5.352
β
5.352
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
218
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
ANAGNALET
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
8.494,9
3.734,9
5.75
0.242,9
5.981,9
5.25
0.242,9
5.981,9
5.25
β
β
β
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
8.262,8
8.262,8
β
1.321,8
1.321,8
β
1.321,8
1.321,8
β
β
β
β
segdirB dna sdaoR)i
0.232,1
5.471,1
5.75
9.811,1
4.660,1
5.25
9.811,1
4.660,1
5.25
β
β
β
@@ srehtO)ii
2.731
2.02
0.711
6.18
6.41
0.76
8.641
6.41
2.231
β
β
β
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
5.803,7
5.302,2
0.501,5
6.659,7
4.885,1
2.863,6
6.659,7
4.885,1
2.863,6
β
β
β
)vi
ot
i( secivreS
cimonocE lareneG
.9
6.276,4
8.006
8.170,4
4.962,2
3.424
1.548,1
4.962,2
3.424
1.548,1
β
β
β
secivreS
cimonocE
- tairaterceS)i
6.635
5.15
1.584
9.221,1
9.73
1.580,1
9.221,1
9.73
1.580,1
β
β
β
msiruoT)ii
7.143,1
7.618
0.525
2.687,3
8.706
4.871,3
2.687,3
8.706
4.871,3
β
β
β
seilppuS liviC)iii
5.757
4.437
1.32
1.877
4.815
6.952
1.877
4.815
6.952
β
β
β
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
6.135,932
2.693,632
4.531,3
0.303,512
2.983,802
8.319,6
0.303,512
2.983,802
8.319,6
β
β
β
)F ot A( )secivreS
lareneG(
8.020,9
9.489,8
8.53
2.284,7
4.644,7
8.53
2.284,7
4.644,7
8.53
β
β
β
etatS fo
snagrO
.A
1.136,8
0.833,8
0.392
5.899,8
8.312,6
7.487,2
5.899,8
8.312,6
7.487,2
β
β
β
)ii + i( secivreS
lacsiF
.B
1.136,8
0.833,8
0.392
5.899,8
8.312,6
7.487,2
5.899,8
8.312,6
7.487,2
β
β
β
seituD
dna sexaT fo noitcelloC)i
β
β
β
β
β
β
β
β
β
β
β
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
4.285,97
4.285,97
β
2.719,26
2.719,26
β
2.719,26
2.719,26
β
β
β
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
3.330,4
3.330,4
β
6.666,3
6.666,3
β
6.666,3
6.666,3
β
β
β
β
tbeD fo ecnadiovA
1.945,57
1.945,57
β
6.052,95
6.052,95
β
6.052,95
6.052,95
β
β
β
β
)vi
ot i( stnemyaP tseretnI
.2
0.697,7
0.697,7
β
0.629,3
0.629,3
β
0.629,3
0.629,3
β
β
β
β
ertneC
eht morf
snaoL no tseretnI)i
7.729,26
7.729,26
β
1.739,05
1.739,05
β
1.739,05
1.739,05
β
β
β
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
0.000,05
0.000,05
β
0.000,04
0.000,04
β
0.000,04
0.000,04
β
β
β
β
snaoL
tekraM
no tseretnI )a(
β
β
β
β
β
β
β
β
β
β
β
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
4.528,4
4.528,4
β
5.783,4
5.783,4
β
5.783,4
5.783,4
β
β
β
β
.cte
,sdnuF tnedivorP
β
β
β
β
β
β
β
β
β
β
β
β
srehtO)vi
4.739,95
9.031,75
5.608,2
2.990,07
0.600,66
3.390,4
2.990,07
0.600,66
3.390,4
β
β
β
)v ot
i( secivreS evitartsinimdA
.D
6.963,3
6.968,1
0.005,1
4.462,82
4.415,62
0.057,1
4.462,82
4.415,62
0.057,1
β
β
β
secivreS
lareneG - tairaterceS)i
6.065,9
6.345,9
0.71
4.370,8
3.179,7
1.201
4.370,8
3.179,7
1.201
β
β
β
noitartsinimdA tcirtsiD)ii
7.029,63
7.076,63
0.052
0.178,62
9.586,52
1.581,1
0.178,62
9.586,52
1.581,1
β
β
β
eciloP)iii
4.542,2
4.542,2
β
8.185,1
8.185,1
β
8.185,1
8.185,1
β
β
β
β
skroW cilbuP)vi
0.148,7
5.108,6
5.930,1
6.803,5
5.252,4
1.650,1
6.803,5
5.252,4
1.650,1
β
β
β
++ srehtO)v
7.853,28
7.853,28
β
6.408,56
6.408,56
β
6.408,56
6.408,56
β
β
β
β
snoisneP
.E
4.1
4.1
β
3.1
3.1
β
3.1
3.1
β
β
β
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
4.716,1
4.716,1
β
4.440,1
4.440,1
β
4.440,1
4.440,1
β
β
β
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
4.716,1
4.716,1
β
4.440,1
4.440,1
β
4.440,1
4.440,1
β
β
β
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
219
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
ARUPIRT
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.552,19
6.646,06
9.806,03
7.030,38
9.431,85
8.598,42
7.471,18
2.176,55
5.305,52
6.984,95
2.094,54
4.999,31
)III+II+I( ERUTIDNEPXE
LATOT
3.541,95
3.077,82
0.573,03
3.910,35
5.833,82
8.086,42
6.125,15
3.222,62
2.992,52
8.165,43
5.017,02
3.158,31
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
7.600,14
5.888,71
2.811,32
2.017,63
8.237,71
4.779,81
3.736,63
0.729,61
4.017,91
9.870,42
7.660,31
2.210,11
)21 ot 1( secivreS
laicoS
.A
8.305,91
6.290,31
3.114,6
6.778,51
6.228,11
1.550,4
4.120,71
6.910,21
8.100,5
1.863,11
5.408,9
6.365,1
erutluC dna
trA ,stropS ,noitacudE
.1
7.779,3
7.292,2
1.586,1
2.054,3
4.210,2
8.734,1
2.821,3
4.910,2
8.801,1
2.607,2
9.465,1
3.141,1
htlaeH
cilbuP dna lacideM
.2
2.190,2
β
2.190,2
0.354,3
1.035,1
9.229,1
6.820,2
0.005
6.825,1
8.033
7.87
1.252
erafleW ylimaF
.3
7.552,1
4.535
4.027
8.211,1
6.944
2.366
2.010,1
1.724
1.385
3.778
4.322
9.356
noitatinaS
dna ylppuS retaW
.4
0.53
0.53
β
0.03
0.03
β
0.52
0.52
β
6.42
6.42
β
gnisuoH
.5
7.652,1
3.491
4.260,1
4.980,2
8.341
6.549,1
2.786,2
2.041
0.745,2
4.991,1
6.16
8.731,1
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
4.551,4
9.942
6.509,3
4.874,3
2.991
1.972,3
3.527,3
0.281
3.345,3
2.447,2
4.731
8.606,2
sessalC drawkcaB
7.693
6.571
0.122
1.534
0.951
1.672
9.364
6.381
3.082
9.012
1.431
8.67
erafleW
ruobaL dna ruobaL
.8
5.314,7
5.011,1
0.303,6
5.906,5
9.419
6.496,4
1.553,5
1.989
0.663,4
0.055,3
7.366
3.688,2
erafleW
dna ytiruceS laicoS
.9
8.536
1.11
6.426
3.716
1.01
2.706
8.376
2.01
6.366
9.016
1.01
8.006
noitirtuN
.01
β
β
β
0.172
5.072
5.0
7.442
7.442
β
2.412
2.412
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
2.582
6.191
6.39
0.682
6.091
4.59
9.372
1.681
8.78
3.242
6.941
8.29
*srehtO
.21
6.831,81
8.188,01
8.652,7
1.903,61
7.506,01
4.307,5
2.488,41
4.592,9
9.885,5
9.284,01
8.346,7
1.938,2
)9 ot 1( secivreS cimonocE
.B
8.575,7
9.901,3
9.564,4
5.708,6
2.119,2
3.698,3
9.014,6
6.786,2
3.327,3
8.942,4
1.524,2
7.428,1
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
7.616,4
7.342,1
0.373,3
2.618,3
7.490,1
5.127,2
1.518,3
0.240,1
1.377,2
7.681,2
5.150,1
3.531,1
yrdnabsuH porC)i
3.67
3.36
0.31
5.07
3.16
3.9
5.46
4.55
0.9
6.76
6.06
0.7
noitavresnoC
retaW dna lioS)ii
4.828
8.125
6.603
6.356
5.434
1.912
4.986
3.034
1.952
3.975
1.483
2.591
yrdnabsuH laminA)iii
4.27
0.21
4.06
1.57
0.01
1.56
6.52
1.31
5.21
5.21
3.01
2.2
tnempoleveD yriaD)vi
4.805
0.982
4.912
3.335
8.072
6.262
0.943
0.222
0.721
6.383
9.771
7.502
seirehsiF)v
3.560,1
2.846
1.714
1.862,1
1.527
0.345
0.401,1
6.516
4.884
1.917
8.584
2.332
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
4.591
9.871
4.61
4.781
8.471
7.21
7.361
9.551
8.7
5.441
5.731
0.7
gnisuoheraW
dna egarotS dooF)iiiv
8.21
β
8.21
7.7
β
7.7
8.4
β
8.4
5.4
β
5.4
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
1.891
0.351
1.54
3.391
1.041
3.35
8.291
4.351
5.93
1.051
4.711
6.23
noitarepo-oC)ix
0.2
β
0.2
0.2
β
0.2
0.2
β
0.2
0.2
β
0.2
semmargorP
larutlucirgA rehtO)iix
5.401,4
7.761,2
8.639,1
9.089,2
0.880,2
9.298
3.051,3
8.268,1
4.782,1
9.135,1
9.289
0.945
tnempoleveD laruR
.2
1.29
β
1.29
0.88
β
0.88
4.77
β
4.77
7.77
β
7.77
semmargorP
aerA laicepS
.3
1.616
7.875
5.73
7.075
8.325
0.74
3.065
3.345
0.71
5.804
6.493
9.31
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
9.2
β
9.2
5.2
β
5.2
4.2
β
4.2
4.1
β
4.1
noitagirrI
muideM dna rojaM
)i
3.654
9.444
3.11
3.324
0.214
3.11
9.244
8.134
1.11
4.943
6.833
8.01
noitagirrI roniM
)ii
0.751
7.331
2.32
9.441
8.111
1.33
0.511
5.111
5.3
7.75
0.65
7.1
eganiarD
dna lortnoC doolF
)iii
2.647
6.137
6.41
8.667
9.437
9.13
7.444
7.134
0.31
8.734
3.624
5.11
ygrenE
.5
1.317
1.317
β
6.937
6.917
0.02
4.614
4.614
β
3.614
3.614
β
rewoP :hcihw
fo
4.177
9.713
5.354
2.566
9.662
3.893
0.476
5.792
5.673
9.805
9.932
0.962
)iii ot
i( slareniM dna yrtsudnI
.6
6.695
9.213
7.382
0.605
9.162
1.442
5.605
4.192
0.512
0.963
8.632
2.231
seirtsudnI
llamS dna egalliV)i
β
β
β
β
β
β
β
β
β
β
β
β
@seirtsudnI)ii
8.471
0.5
8.961
2.951
0.5
2.451
5.761
0.6
5.161
9.931
1.3
8.631
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
220
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
ARUPIRT
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
3.860,3
5.489,2
8.38
7.822,3
4.490,3
3.431
1.859,2
0.559,2
1.3
2.484,2
3.184,2
9.2
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
4.085,2
1.005,2
3.08
7.067,2
4.036,2
3.031
0.615,2
7.515,2
3.0
1.231,2
9.131,2
2.0
segdirB dna sdaoR)i
9.784
4.484
5.3
0.864
0.464
0.4
1.244
3.934
8.2
0.253
3.943
7.2
@@ srehtO)ii
8.16
2.02
6.14
2.15
8.61
4.43
6.94
9.51
7.33
6.05
2.21
4.83
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
4.201,1
4.179
0.131
1.051,1
6.969
5.081
0.955
6.105
4.75
5.337
5.186
9.15
)vi
ot
i( secivreS
cimonocE lareneG
.9
0.63
0.13
1.5
2.33
3.82
8.4
2.73
2.43
9.2
3.72
2.52
0.2
secivreS
cimonocE
- tairaterceS)i
9.39
1.01
8.38
1.18
8.11
3.96
2.23
1.01
1.22
1.91
5.6
6.21
msiruoT)ii
1.568
3.838
8.62
6.319
9.728
7.58
6.473
8.653
8.71
9.595
9.775
0.81
seilppuS liviC)iii
4.701
0.29
5.51
2.221
6.101
6.02
0.511
5.001
5.41
2.19
9.17
3.91
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
5.478,92
7.046,92
8.332
2.312,82
2.899,72
0.512
9.400,82
7.008,72
2.402
9.254,32
8.403,32
1.841
)F ot A( )secivreS
lareneG(
6.720,1
6.720,1
β
6.560,1
6.260,1
0.3
5.460,1
5.160,1
0.3
2.108
2.697
0.5
etatS fo
snagrO
.A
4.726
4.226
0.5
9.595
9.095
0.5
1.815
1.815
β
2.373
8.863
4.4
)ii + i( secivreS
lacsiF
.B
9.895
0.495
0.5
5.865
5.365
0.5
6.194
6.194
β
0.453
6.943
4.4
seituD
dna sexaT fo noitcelloC)i
5.82
5.82
β
5.72
5.72
β
5.62
5.62
β
2.91
2.91
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
8.412,7
8.412,7
β
9.569,6
9.569,6
β
7.508,6
7.508,6
β
6.904,6
6.904,6
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
β
β
β
β
β
β
0.005
0.005
β
0.005
0.005
β
tbeD fo ecnadiovA
8.412,7
8.412,7
β
9.569,6
9.569,6
β
7.503,6
7.503,6
β
6.909,5
6.909,5
β
)vi
ot i( stnemyaP tseretnI
.2
5.782
5.782
β
6.672
6.672
β
0.82
0.82
β
0.592
0.592
β
ertneC
eht morf
snaoL no tseretnI)i
5.415,4
5.415,4
β
0.773,4
0.773,4
β
3.771,4
3.771,4
β
9.074,3
9.074,3
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
0.042,2
0.042,2
β
0.041,2
0.041,2
β
0.000,2
0.000,2
β
1.558,1
1.558,1
β
snaoL
tekraM
no tseretnI )a(
0.003,1
0.003,1
β
0.052,1
0.052,1
β
0.003,1
0.003,1
β
8.081,1
8.081,1
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
2.114,2
2.114,2
β
7.013,2
7.013,2
β
8.890,2
8.890,2
β
7.341,2
7.341,2
β
.cte
,sdnuF tnedivorP
6.1
6.1
β
6.1
6.1
β
6.1
6.1
β
β
β
β
srehtO)vi
2.726,21
3.893,21
9.822
2.595,11
2.883,11
0.702
6.616,11
4.514,11
2.102
4.690,9
7.759,8
7.831
)v ot
i( secivreS evitartsinimdA
.D
3.345
3.345
β
2.505
2.505
β
2.894
2.894
β
3.283
3.283
β
secivreS
lareneG - tairaterceS)i
0.315
4.364
6.94
7.764
5.324
2.44
5.784
6.344
9.34
0.144
9.404
1.63
noitartsinimdA tcirtsiD)ii
9.752,9
7.742,9
2.01
6.725,8
3.025,8
3.7
8.196,8
9.986,8
9.1
4.846,6
4.746,6
0.1
eciloP)iii
2.148
4.077
8.07
8.277
8.907
0.36
2.086
5.346
6.63
2.636
9.416
3.12
skroW cilbuP)vi
8.174,1
5.373,1
3.89
9.123,1
4.922,1
5.29
9.852,1
1.041,1
8.811
4.889
1.809
3.08
++ srehtO)v
5.773,8
5.773,8
β
5.099,7
5.099,7
β
0.000,8
0.000,8
β
5.277,6
5.277,6
β
snoisneP
.E
1.0
1.0
β
1.0
1.0
β
β
β
β
β
β
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
6.532,2
6.532,2
β
2.897,1
2.897,1
β
2.846,1
2.846,1
β
9.474,1
9.474,1
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
6.532,2
6.532,2
β
2.897,1
2.897,1
β
2.846,1
2.846,1
β
9.474,1
9.474,1
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
221
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
DNAHKARATTU
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
3.393,752
6.197,281
7.106,47
8.425,342
2.872,761
6.642,67
3.029,732
6.541,961
7.477,86
1.461,261
4.494,431
8.966,72
)III+II+I( ERUTIDNEPXE
LATOT
8.818,751
1.938,38
7.979,37
7.705,451
5.759,87
2.055,57
3.662,841
5.375,97
8.296,86
8.956,39
8.620,66
0.336,72
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
7.478,311
9.104,16
8.274,25
8.311,501
0.914,45
9.496,05
2.255,501
8.934,65
4.211,94
0.089,27
1.647,05
9.332,22
)21 ot 1( secivreS
laicoS
.A
0.254,45
1.281,44
8.962,01
7.408,05
1.528,93
6.979,01
3.069,05
4.090,24
9.968,8
3.576,04
1.027,43
2.559,5
erutluC dna
trA ,stropS ,noitacudE
.1
4.376,51
9.399,8
4.976,6
9.942,41
9.046,7
0.906,6
5.003,11
7.327,7
8.675,3
1.510,8
4.978,5
7.531,2
htlaeH
cilbuP dna lacideM
.2
1.984,1
β
1.984,1
7.062,1
β
7.062,1
9.282,1
β
9.282,1
3.779
β
3.779
erafleW ylimaF
.3
3.362,4
0.050,1
3.312,3
0.158,5
0.050,1
0.108,4
1.841,5
0.050,1
1.890,4
7.577,4
5.251,2
2.326,2
noitatinaS
dna ylppuS retaW
.4
6.62
6.62
β
6.32
6.32
β
6.32
6.32
β
3.91
3.91
β
gnisuoH
.5
2.006,1
3.661
9.334,1
3.850,1
4.241
9.519
8.718,1
8.531
0.286,1
8.086
9.901
8.075
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
6.917,3
4.630,1
2.386,2
6.083,3
6.711,1
0.362,2
5.062,3
8.341,1
8.611,2
8.815,2
3.739
5.185,1
sessalC drawkcaB
4.847,1
0.141,1
4.706
4.134,1
1.940,1
2.283
5.034,1
2.560,1
4.563
5.089
2.327
2.752
erafleW
ruobaL dna ruobaL
.8
6.295,21
6.893,1
0.491,11
5.521,31
6.405,1
8.026,11
1.411,21
5.713,1
6.697,01
5.467,6
2.419
3.058,5
erafleW
dna ytiruceS laicoS
.9
β
β
β
β
β
β
β
β
β
β
β
β
noitirtuN
.01
0.970,71
0.010,3
0.960,41
8.753,21
2.514,1
6.249,01
8.439,61
2.514,1
6.915,51
0.307,6
3.207,4
6.000,2
seitimalaC
larutaN
fo tnuocca no feileR
.11
6.032,1
0.793
6.338
5.075,1
5.056
0.029
0.972,1
7.474
3.408
8.968
0.885
9.182
*srehtO
.21
1.449,34
2.734,22
9.605,12
8.393,94
5.835,42
3.558,42
1.417,24
7.331,32
4.085,91
8.976,02
7.082,51
1.993,5
)9 ot 1( secivreS cimonocE
.B
2.967,81
1.803,21
1.164,6
5.063,81
9.528,21
6.435,5
4.871,61
3.795,11
0.185,4
1.431,01
1.635,7
0.895,2
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
0.034,6
1.731,2
9.292,4
3.214,5
1.122,2
2.191,3
8.842,5
3.540,2
4.302,3
5.859,2
4.837,1
1.022,1
yrdnabsuH porC)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW dna lioS)ii
9.446,1
7.273,1
3.272
2.125,1
3.932,1
9.182
5.994,1
3.192,1
3.802
1.252,1
4.820,1
8.322
yrdnabsuH laminA)iii
8.813
9.57
9.242
9.253
2.76
7.582
3.721
2.76
1.06
3.931
5.15
8.78
tnempoleveD yriaD)vi
5.441
3.99
2.54
2.601
7.38
5.22
2.901
7.38
5.52
1.47
1.95
0.51
seirehsiF)v
1.960,5
5.639,3
6.231,1
7.699,5
1.628,4
6.071,1
9.179,4
8.134,4
1.045
0.237,3
8.560,3
3.666
efiL
dliW dna yrtseroF
)iv
0.6
0.6
β
0.6
0.6
β
0.6
0.6
β
0.6
0.6
β
snoitatnalP)iiv
3.971,3
3.971,3
β
0.698,2
0.698,2
β
5.661,2
5.661,2
β
5.312
5.312
β
gnisuoheraW
dna egarotS dooF)iiiv
8.075,1
2.182,1
6.982
5.175,1
0.782,1
5.482
5.075,1
0.782,1
5.382
1.673,1
1.702,1
0.961
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
8.504
1.022
7.581
7.794
5.991
2.892
7.874
5.812
2.062
5.283
4.661
0.612
noitarepo-oC)ix
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
larutlucirgA rehtO)iix
6.877,61
3.451,3
3.426,31
2.805,02
7.689,2
4.125,71
6.803,61
2.991,3
4.901,31
3.565,3
6.540,2
7.915,1
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
aerA laicepS
.3
9.039,3
1.919,3
8.11
7.669,3
4.169,3
3.5
6.861,4
8.661,4
8.1
0.391,3
2.461,3
8.82
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
2.641,3
1.531,3
1.11
0.870,3
4.370,3
6.4
2.633,3
1.533,3
1.1
5.793,2
5.793,2
β
noitagirrI
muideM dna rojaM
)i
7.447
0.447
7.0
7.838
0.838
7.0
4.287
7.187
7.0
9.557
1.727
8.82
noitagirrI roniM
)ii
0.04
0.04
β
0.05
0.05
β
0.05
0.05
β
7.93
7.93
β
eganiarD
dna lortnoC doolF
)iii
8.37
4.73
4.63
2.082
4.732
7.24
6.182
4.732
2.44
7.37
8.63
9.63
ygrenE
.5
4.01
4.1
0.9
4.012
4.102
0.9
9.112
4.102
5.01
8.0
8.0
β
rewoP :hcihw
fo
2.596
6.853
6.633
1.375
0.533
1.832
6.596
3.963
3.623
9.345
7.392
1.052
)iii ot
i( slareniM dna yrtsudnI
.6
5.484
7.382
8.002
7.274
1.472
5.891
5.345
0.403
5.932
9.294
5.542
3.742
seirtsudnI
llamS dna egalliV)i
6.012
9.47
7.531
4.001
9.06
5.93
1.251
3.56
7.68
0.15
2.84
8.2
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
222
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
DNAHKARATTU
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.094,2
5.702,2
6.282
9.070,4
3.896,3
6.273
8.404,3
3.360,3
5.143
2.642,2
0.909,1
1.733
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
6.830,2
0.757,1
6.182
1.916,3
0.742,3
1.273
1.910,3
0.796,2
1.223
1.628,1
4.805,1
7.713
segdirB dna sdaoR)i
5.154
5.054
0.1
8.154
3.154
5.0
7.583
3.663
4.91
1.024
7.004
4.91
@@ srehtO)ii
1.071
7.01
4.951
2.98
7.01
5.87
2.98
7.01
5.87
3.58
5.8
8.67
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
2.630,1
4.144
8.495
1.545,1
1.384
0.260,1
2.785,1
6.984
6.790,1
4.838
7.682
7.155
)vi
ot
i( secivreS
cimonocE lareneG
.9
0.28
0.93
0.34
6.651
7.83
0.811
7.551
7.83
0.711
0.13
8.52
2.5
secivreS
cimonocE
- tairaterceS)i
9.515
9.021
0.593
0.689
5.311
5.278
1.800,1
6.511
5.298
7.465
3.98
4.574
msiruoT)ii
0.101
4.66
6.43
9.06
9.24
0.81
5.38
9.84
6.43
5.23
2.23
3.0
seilppuS liviC)iii
3.733
0.512
3.221
5.143
0.882
6.35
1.043
5.682
6.35
1.012
4.931
8.07
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
3.801,98
3.684,88
0.226
3.939,08
8.242,08
5.696
1.675,18
3.494,18
9.18
7.028,16
9.387,16
8.63
)F ot A( )secivreS
lareneG(
3.101,3
3.158,2
0.052
0.039,3
0.086,3
0.052
4.459,2
4.459,2
β
9.160,2
9.160,2
β
etatS fo
snagrO
.A
6.467,4
5.393,4
2.173
1.195,4
4.541,4
7.544
1.852,4
0.771,4
1.18
3.463,2
6.723,2
7.63
)ii + i( secivreS
lacsiF
.B
9.996,4
8.823,4
2.173
7.615,4
1.170,4
7.544
1.891,4
0.711,4
1.18
7.123,2
1.582,2
7.63
seituD
dna sexaT fo noitcelloC)i
7.46
7.46
β
3.47
3.47
β
1.06
1.06
β
6.24
6.24
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
4.153,43
4.153,43
β
8.016,52
8.016,52
β
3.926,03
3.926,03
β
4.065,02
4.065,02
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
0.055
0.055
β
β
β
β
0.051,1
0.051,1
β
β
β
β
tbeD fo ecnadiovA
4.108,33
4.108,33
β
8.016,52
8.016,52
β
3.974,92
3.974,92
β
4.065,02
4.065,02
β
)vi
ot i( stnemyaP tseretnI
.2
0.055
0.055
β
0.005
0.005
β
0.005
0.005
β
2.273
2.273
β
ertneC
eht morf
snaoL no tseretnI)i
8.891,62
8.891,62
β
7.618,81
7.618,81
β
7.625,22
7.625,22
β
6.943,51
6.943,51
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
6.894,41
6.894,41
β
5.671,9
5.671,9
β
5.671,21
5.671,21
β
2.741,7
2.741,7
β
snaoL
tekraM
no tseretnI )a(
0.008,8
0.008,8
β
0.007,7
0.007,7
β
0.000,8
0.000,8
β
0.508,6
0.508,6
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
0.051,5
0.051,5
β
0.095,4
0.095,4
β
0.056,4
0.056,4
β
3.925,4
3.925,4
β
.cte
,sdnuF tnedivorP
6.209,1
6.209,1
β
1.407,1
1.407,1
β
6.208,1
6.208,1
β
3.903
3.903
β
srehtO)vi
0.256,02
2.156,02
8.0
6.287,91
8.187,91
8.0
6.964,91
8.864,91
8.0
2.725,51
1.725,51
1.0
)v ot
i( secivreS evitartsinimdA
.D
2.094,1
4.984,1
8.0
7.564,1
9.464,1
8.0
0.842,1
2.742,1
8.0
0.450,1
0.450,1
β
secivreS
lareneG - tairaterceS)i
4.860,1
4.860,1
β
8.730,1
8.730,1
β
8.730,1
8.730,1
β
1.928
0.928
β
noitartsinimdA tcirtsiD)ii
0.696,11
0.696,11
β
8.940,11
8.940,11
β
2.469,01
2.469,01
β
9.580,9
9.580,9
β
eciloP)iii
9.253,4
9.253,4
β
7.252,4
7.252,4
β
7.252,4
7.252,4
β
0.880,3
9.780,3
1.0
skroW cilbuP)vi
6.440,2
6.440,2
β
6.679,1
6.679,1
β
8.669,1
8.669,1
β
2.074,1
2.074,1
β
++ srehtO)v
0.932,62
0.932,62
β
8.400,72
8.400,72
β
8.442,42
8.442,42
β
8.603,12
8.603,12
β
snoisneP
.E
β
β
β
0.02
0.02
β
0.02
0.02
β
β
β
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
3.664,01
3.664,01
β
9.770,8
9.770,8
β
9.770,8
9.770,8
β
6.386,6
6.386,6
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
3.664,01
3.664,01
β
9.770,8
9.770,8
β
9.770,8
9.770,8
β
6.386,6
6.386,6
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
223
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
HSEDARP
RATTU
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
8.165,751,2
2.011,456,1
6.154,305
3.209,519,1
3.624,364,1
1.674,254
8.842,479,1
0.440,735,1
8.402,734
7.864,185,1
7.498,462,1
0.475,613
)III+II+I( ERUTIDNEPXE
LATOT
8.265,642,1
5.326,347
3.939,205
8.491,321,1
8.514,176
0.977,154
3.316,021,1
0.790,486
3.615,634
1.076,468
4.429,845
6.547,513
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
0.996,948
0.983,744
0.013,204
0.563,327
0.732,163
0.821,263
8.787,457
7.009,993
1.788,453
8.265,706
8.335,733
0.920,072
)21 ot 1( secivreS
laicoS
.A
2.500,764
0.703,713
1.896,941
7.328,363
2.044,442
5.383,911
1.630,893
1.817,872
0.813,911
7.152,413
7.893,522
1.358,88
erutluC dna
trA ,stropS ,noitacudE
.1
8.008,97
1.698,96
7.409,9
1.892,76
1.048,85
1.854,8
7.484,96
1.261,36
6.223,6
5.907,45
7.760,15
8.146,3
htlaeH
cilbuP dna lacideM
.2
5.882,85
4.93
1.942,85
8.143,04
4.93
4.203,04
6.887,14
4.93
2.947,14
8.662,52
0.53
8.132,52
erafleW ylimaF
.3
5.891,8
0.14
5.751,8
9.895,8
0.14
9.755,8
0.182,6
0.14
0.042,6
1.043,1
0.14
1.992,1
noitatinaS
dna ylppuS retaW
.4
7.628
7.628
β
1.396
1.396
β
1.556
1.556
β
7.556
7.556
β
gnisuoH
.5
3.952,23
8.407,61
5.455,51
9.368,14
3.503,41
6.855,72
8.267,83
2.823,41
6.434,42
0.261,52
8.022,11
2.149,31
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
9.172,94
7.535,41
2.637,43
5.397,84
1.832,41
4.555,43
1.758,84
0.793,41
0.064,43
3.564,55
4.777,22
8.786,23
sessalC drawkcaB
3.132,31
8.940,5
5.181,8
0.446,21
0.494,4
0.051,8
6.028,21
5.219,4
1.809,7
6.438,91
5.430,5
0.008,41
erafleW
ruobaL dna ruobaL
.8
5.703,331
5.594,51
9.118,711
0.487,131
7.246,61
3.141,511
5.085,031
8.641,61
7.334,411
2.699,401
5.134,51
6.465,98
erafleW
dna ytiruceS laicoS
.9
β
β
β
β
β
β
β
β
β
β
β
β
noitirtuN
.01
0.587,4
0.587,4
β
9.149,4
9.149,4
β
9.149,4
9.149,4
β
2.845,4
2.845,4
β
seitimalaC
larutaN
fo tnuocca no feileR
.11
5.427,2
0.807,2
5.61
1.285,2
3.165,2
8.02
5.975,2
7.855,2
8.02
7.233,1
2.323,1
5.9
*srehtO
.21
7.368,693
4.432,692
3.926,001
8.928,993
8.871,013
0.156,98
5.528,563
2.691,482
2.926,18
2.701,752
6.093,112
6.617,54
)9 ot 1( secivreS cimonocE
.B
8.863,16
1.576,33
7.396,72
4.711,26
3.090,63
1.720,62
3.868,06
1.851,83
2.017,22
0.840,64
1.998,13
9.841,41
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
7.176,72
3.315,01
4.851,71
0.184,52
3.923,9
6.151,61
5.118,32
3.529,9
1.688,31
1.819,41
8.939,8
4.879,5
yrdnabsuH porC)i
7.382,7
6.270,2
1.112,5
6.596,7
1.857,1
5.739,5
1.778,7
6.939,1
5.739,5
6.591,7
7.966,1
9.525,5
noitavresnoC
retaW dna lioS)ii
3.500,9
1.648,6
1.951,2
2.498,6
9.826,5
2.562,1
8.830,7
2.421,6
5.419
3.963,5
7.816,4
6.057
yrdnabsuH laminA)iii
0.459
7.142
2.217
8.478
8.102
0.376
8.548
3.222
5.326
6.589
3.571
3.018
tnempoleveD yriaD)vi
7.320,1
2.926
5.493
0.778
1.405
9.273
2.487
5.155
8.232
2.455
8.334
4.021
seirehsiF)v
1.193,6
9.790,6
2.392
4.514,5
4.280,5
0.333
6.608,5
2.384,5
4.323
9.338,4
7.695,4
1.732
efiL
dliW dna yrtseroF
)iv
1.95
1.95
β
3.94
3.94
β
9.35
9.35
β
6.15
6.15
β
snoitatnalP)iiv
3.191,2
3.191,2
β
0.064,1
0.064,1
β
4.506,1
4.506,1
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
7.096,1
1.605,1
6.481
6.665,1
3.254,1
3.411
8.355,1
2.144,1
6.211
7.875,1
7.254,1
0.621
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
0.139,4
5.053,3
5.085,1
9.066,11
4.184,01
5.971,1
6.333,11
9.356,01
7.976
7.144,01
6.148,9
1.006
noitarepo-oC)ix
2.761
2.761
β
8.241
8.241
β
5.751
5.751
β
2.911
2.911
β
semmargorP
larutlucirgA rehtO)iix
5.863,89
2.479,15
3.493,64
7.503,78
6.769,54
0.833,14
3.627,38
9.381,74
3.245,63
4.959,56
6.103,64
8.756,91
tnempoleveD laruR
.2
8.337,8
β
8.337,8
2.980,9
β
2.980,9
3.290,9
β
3.290,9
9.828,2
β
9.828,2
semmargorP
aerA laicepS
.3
2.575,96
7.401,06
5.074,9
6.410,86
9.417,95
7.992,8
1.277,46
7.859,55
3.318,8
2.185,74
9.850,14
3.225,6
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
3.227,25
0.001,84
4.226,4
5.418,74
4.190,44
1.327,3
7.050,94
4.259,44
2.890,4
2.873,33
4.272,03
8.501,3
noitagirrI
muideM dna rojaM
)i
5.757,21
7.410,11
8.247,1
9.785,51
5.378,31
5.417,1
3.128,11
3.601,01
9.417,1
4.043,11
6.217,9
8.726,1
noitagirrI roniM
)ii
0.099
0.099
β
0.057,1
0.057,1
β
0.009
0.009
β
9.370,1
9.370,1
β
eganiarD
dna lortnoC doolF
)iii
8.797,59
1.451,49
8.346,1
5.124,321
6.356,221
9.767
2.040,401
6.355,301
6.684
9.665,25
1.251,25
8.414
ygrenE
.5
0.309,39
0.309,39
β
4.434,221
4.424,221
0.01
4.433,301
4.423,301
0.01
3.688,15
3.688,15
β
rewoP :hcihw
fo
7.152,02
9.918,41
7.134,5
9.034,11
0.452,8
9.671,3
9.993,8
6.262,5
2.731,3
0.668,4
0.356,3
1.312,1
)iii ot
i( slareniM dna yrtsudnI
.6
8.218,6
6.764,3
1.543,3
1.578,3
3.787,1
7.780,2
5.549,3
4.798,1
1.840,2
0.544,2
5.735,1
5.709
seirtsudnI
llamS dna egalliV)i
1.332,31
5.143,11
6.198,1
0.833,7
8.654,6
2.188
5.632,4
4.553,3
2.188
6.314,2
0.801,2
6.503
@seirtsudnI)ii
8.502
8.01
0.591
9.712
9.9
0.802
9.712
9.9
0.802
4.7
4.7
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
224
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
HSEDARP
RATTU
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
7.589,23
2.846,23
5.733
1.089,92
2.368,92
9.611
9.154,62
7.933,62
2.211
3.157,33
3.917,33
0.23
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
5.432,13
5.432,13
β
8.024,82
8.024,82
β
8.029,42
8.029,42
β
1.465,23
1.465,23
β
segdirB dna sdaoR)i
2.157,1
7.314,1
5.733
3.955,1
4.244,1
9.611
1.135,1
9.814,1
2.211
3.781,1
2.551,1
0.23
@@ srehtO)ii
8.705
3.102
5.603
8.624
3.081
5.642
3.973
8.281
5.691
6.653
1.561
4.191
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
4.472,9
0.756,8
5.716
7.340,8
8.454,7
9.885
4.590,8
8.655,7
6.835
9.841,3
5.144,2
4.707
)vi
ot
i( secivreS
cimonocE lareneG
.9
1.102,1
4.091,1
7.01
9.580,1
7.260,1
2.32
3.481,1
7.061,1
6.32
8.439
5.329
3.11
secivreS
cimonocE
- tairaterceS)i
6.464
6.342
0.122
0.973
0.312
0.661
7.363
7.722
0.631
9.691
9.651
0.04
msiruoT)ii
0.163
8.063
2.0
2.543
6.443
6.0
0.682
4.582
6.0
5.062
5.062
β
seilppuS liviC)iii
8.742,7
2.268,6
6.583
6.332,6
5.438,5
1.993
3.162,6
9.288,5
4.873
7.657,1
6.001,1
1.656
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
5.232,908
3.027,808
3.215
8.323,286
8.626,186
1.796
8.152,347
3.365,247
5.886
9.438,916
5.600,916
4.828
)F ot A( )secivreS
lareneG(
9.603,22
9.603,22
β
0.846,12
6.406,12
4.34
8.265,22
3.715,22
5.54
6.291,61
6.291,61
β
etatS fo
snagrO
.A
7.287,43
7.283,43
0.004
5.636,92
5.631,92
0.005
8.432,23
8.437,13
0.005
3.652,62
8.588,52
5.073
)ii + i( secivreS
lacsiF
.B
7.184,43
7.180,43
0.004
0.493,92
0.498,82
0.005
3.179,13
3.174,13
0.005
3.860,62
7.796,52
5.073
seituD
dna sexaT fo noitcelloC)i
0.103
0.103
β
5.242
5.242
β
5.362
5.362
β
1.881
1.881
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
2.258,682
2.258,682
β
4.753,252
4.753,252
β
8.248,562
8.248,562
β
9.667,752
9.667,752
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
5.286,57
5.286,57
β
4.989,56
4.989,56
β
4.989,67
4.989,67
β
5.246,38
5.246,38
β
tbeD fo ecnadiovA
7.961,112
7.961,112
β
0.863,681
0.863,681
β
4.358,881
4.358,881
β
4.421,471
4.421,471
β
)vi
ot i( stnemyaP tseretnI
.2
6.542,01
6.542,01
β
6.432,11
6.432,11
β
8.612,11
8.612,11
β
4.152,21
4.152,21
β
ertneC
eht morf
snaoL no tseretnI)i
2.918,751
2.918,751
β
9.360,731
9.360,731
β
1.765,931
1.765,931
β
5.653,721
5.653,721
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
0.290,39
0.290,39
β
2.807,47
2.807,47
β
2.330,87
2.330,87
β
7.254,96
7.254,96
β
snaoL
tekraM
no tseretnI )a(
5.487,75
5.487,75
β
3.633,55
3.633,55
β
7.345,45
7.345,45
β
8.155,15
8.155,15
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
4.154,24
4.154,24
β
0.614,73
0.614,73
β
0.614,73
0.614,73
β
0.268,33
0.268,33
β
.cte
,sdnuF tnedivorP
5.356
5.356
β
5.356
5.356
β
5.356
5.356
β
4.456
4.456
β
srehtO)vi
5.938,671
2.727,671
3.211
6.805,151
0.853,151
7.051
0.581,461
0.240,461
0.341
1.490,421
2.636,321
9.754
)v ot
i( secivreS evitartsinimdA
.D
3.727,4
3.727,4
β
7.810,4
7.810,4
β
8.813,4
8.813,4
β
9.573,3
9.573,3
β
secivreS
lareneG - tairaterceS)i
3.118,7
3.118,7
β
5.392,7
5.392,7
β
4.929,7
4.929,7
β
8.388,5
8.388,5
β
noitartsinimdA tcirtsiD)ii
4.076,021
4.076,021
β
1.342,301
1.342,301
β
0.129,211
0.129,211
β
7.527,09
7.527,09
β
eciloP)iii
5.567,02
4.917,02
1.64
1.946,71
5.616,71
6.23
6.059,81
8.529,81
7.42
4.585,6
9.565,6
5.91
skroW cilbuP)vi
1.568,22
9.897,22
2.66
1.403,91
0.681,91
1.811
1.560,02
9.649,91
2.811
3.325,71
9.480,71
4.834
++ srehtO)v
3.250,882
3.250,882
β
8.737,622
8.737,622
β
6.399,752
6.399,752
β
1.212,591
1.212,591
β
snoisneP
.E
9.893
9.893
β
4.534
4.234
0.3
9.234
9.234
β
0.313
0.313
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
1.0
1.0
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
5.667,101
5.667,101
β
7.383,011
7.383,011
β
7.383,011
7.383,011
β
7.369,69
7.369,69
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
5.667,101
5.667,101
β
7.383,011
7.383,011
β
7.383,011
7.383,011
β
7.369,69
7.369,69
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
225
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
LAGNEB
TSEW
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.200,131,1
6.417,397
6.782,733
8.972,860,1
0.846,957
8.136,803
0.287,950,1
6.949,287
4.238,672
7.279,719
9.599,907
8.679,702
)III+II+I( ERUTIDNEPXE
LATOT
5.093,656
8.781,223
7.202,433
9.849,926
8.995,423
1.943,503
2.974,216
9.144,833
3.730,472
4.254,305
1.815,792
3.439,502
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
3.029,754
6.790,642
7.228,112
7.735,114
4.259,942
3.585,161
0.112,224
7.131,062
4.970,261
5.816,283
9.022,632
6.793,641
)21 ot 1( secivreS
laicoS
.A
6.429,642
1.511,251
5.908,49
1.794,891
7.081,441
4.613,45
1.914,212
3.981,051
9.922,26
4.079,081
0.484,931
4.684,14
erutluC dna
trA ,stropS ,noitacudE
.1
3.188,44
7.531,53
6.547,9
3.659,74
7.338,23
6.221,51
1.032,93
6.751,43
5.270,5
8.371,73
6.453,03
2.918,6
htlaeH
cilbuP dna lacideM
.2
7.084,5
5.383,1
2.790,4
8.045,4
4.403,1
4.632,3
9.772,5
1.855,1
8.917,3
4.095,5
9.844,1
5.141,4
erafleW ylimaF
.3
4.193,61
5.346,3
9.747,21
6.055,21
4.583,3
2.561,9
0.885,51
0.318,3
1.577,11
9.215,01
5.538,4
4.776,5
noitatinaS
dna ylppuS retaW
.4
8.616,1
8.174,1
0.541
5.794,1
5.914,1
0.87
5.876,1
5.506,1
0.37
6.380,2
1.180,1
5.200,1
gnisuoH
.5
2.690,44
0.852,02
2.838,32
4.665,43
3.493,91
1.271,51
7.835,24
9.144,02
8.690,22
5.773,14
6.717,61
9.956,42
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
3.192,11
8.016,2
5.086,8
0.884,11
3.568,2
7.226,8
6.799,9
5.058,2
1.741,7
9.282,8
6.099,1
3.292,6
sessalC drawkcaB
2.591,2
0.564,1
2.037
7.753,3
6.573,1
1.289,1
6.381,2
7.738,1
9.543
4.404,1
8.962,1
6.431
erafleW
ruobaL dna ruobaL
.8
6.997,56
0.165,02
6.832,54
3.658,87
3.549,53
0.119,24
9.025,97
3.363,63
6.751,34
9.235,87
5.304,23
4.921,64
erafleW
dna ytiruceS laicoS
.9
8.228,9
3.8
5.418,9
5.537,8
6.7
9.727,8
8.668,4
3.8
5.858,4
7.865,8
5.01
2.855,8
noitirtuN
.01
5.698,3
0.098,3
5.6
4.758,3
9.358,3
5.3
2.858,3
7.408,3
5.35
0.435,3
8.035,3
2.3
seitimalaC
larutaN
fo tnuocca no feileR
.11
7.325,5
7.455,3
0.969,1
2.436,5
8.683,3
4.742,2
5.150,5
8.105,3
7.945,1
9.685,4
9.390,3
0.394,1
*srehtO
.21
3.074,891
3.090,67
0.083,221
2.114,812
4.746,47
8.367,341
2.862,091
2.013,87
0.859,111
0.438,021
3.792,16
7.635,95
)9 ot 1( secivreS cimonocE
.B
8.478,73
5.234,61
3.244,12
7.710,92
4.982,51
3.827,31
3.994,23
8.243,81
5.651,41
5.213,02
4.425,31
1.887,6
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
8.343,51
5.972,3
3.460,21
7.390,11
5.040,3
2.350,8
3.617,11
1.579,3
2.147,7
1.410,6
8.997,2
3.412,3
yrdnabsuH porC)i
5.098
5.142
0.946
2.553
7.422
5.031
4.724
9.703
5.911
8.572
7.502
1.07
noitavresnoC
retaW dna lioS)ii
1.578,4
3.108,2
8.370,2
3.546,3
3.626,2
0.910,1
6.976,4
6.881,3
0.194,1
7.689,2
8.104,2
9.485
yrdnabsuH laminA)iii
9.278,1
9.573,1
0.794
7.554,1
8.472,1
9.081
8.437,1
8.464,1
0.072
4.759
4.768
0.09
tnempoleveD yriaD)vi
2.146,1
1.556
1.689
7.775,1
9.416
8.269
7.845,1
2.017
6.838
6.831,1
3.765
3.175
seirehsiF)v
1.775,5
2.183,3
9.591,2
9.220,5
3.201,3
6.029,1
8.664,5
4.783,3
5.970,2
7.832,4
3.787,2
4.154,1
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
2.230,2
2.119,1
0.121
8.948,1
2.787,1
6.26
9.652,2
8.191,2
1.56
3.295,1
3.365,1
0.92
gnisuoheraW
dna egarotS dooF)iiiv
5.752,2
0.393,1
5.468
1.593,1
6.603,1
5.88
5.735,1
6.054,1
0.78
2.692,1
3.222,1
9.37
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
6.501,2
9.352,1
7.158
2.948,1
8.081,1
4.866
3.333,2
0.515,1
4.818
8.773,1
2.199
6.683
noitarepo-oC)ix
0.972,1
0.041
0.931,1
0.377
2.131
8.146
8.797
4.151
4.646
8.434
2.811
6.613
semmargorP
larutlucirgA rehtO)iix
0.260,89
1.011,42
9.159,37
5.898,721
3.734,32
2.164,401
9.209,19
9.388,22
0.910,96
5.534,24
8.047,51
7.496,62
tnempoleveD laruR
.2
3.576,41
4.200,5
9.276,9
5.820,51
9.293,5
6.536,9
5.100,51
6.937,4
8.162,01
5.012,31
4.511,5
1.590,8
semmargorP
aerA laicepS
.3
3.925,01
9.199,8
4.735,1
3.057,01
9.191,9
4.855,1
9.748,31
1.843,21
9.994,1
7.968,9
7.988,8
0.089
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
1.459,2
8.175,2
3.283
8.582,3
9.698,2
9.883
4.700,5
7.575,4
7.134
8.637,2
4.554,2
4.182
noitagirrI
muideM dna rojaM
)i
8.507,4
7.545,4
1.061
2.618,4
2.255,4
0.462
8.051,6
6.379,5
2.771
8.857,4
8.286,4
0.67
noitagirrI roniM
)ii
4.957,2
4.478,1
0.588
3.835,2
8.247,1
5.597
8.975,2
8.897,1
0.187
6.292,2
5.157,1
1.145
eganiarD
dna lortnoC doolF
)iii
9.631,7
9.610,6
0.021,1
8.567,7
8.510,6
0.057,1
1.667,6
1.610,6
0.057
5.403,01
7.704,3
8.698,6
ygrenE
.5
0.000,7
0.000,6
0.000,1
0.036,7
0.000,6
0.036,1
0.036,6
0.088,5
0.057
0.702,01
7.293,3
3.418,6
rewoP :hcihw
fo
1.465,21
4.369,1
7.006,01
2.375,01
5.948,1
7.327,8
2.577,11
7.55-
8.038,11
9.705,7
2.655,1
7.159,5
)iii ot
i( slareniM dna yrtsudnI
.6
0.411,6
9.317,1
1.004,4
6.365,4
7.906,1
9.359,2
7.085,5
2.746
5.339,4
3.262,3
3.933,1
0.329,1
seirtsudnI
llamS dna egalliV)i
1.054,6
5.942
6.002,6
6.900,6
8.932
8.967,5
5.491,6
8.207-
3.798,6
6.542,4
9.612
7.820,4
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
226
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
LAGNEB
TSEW
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.960,31
4.386,11
8.583,1
6.316,31
1.815,11
5.590,2
1.918,31
4.927,11
7.980,2
8.514,41
2.025,11
6.598,2
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
3.616,6
7.062,6
6.553
8.992,6
0.969,5
8.033
7.526,6
7.003,6
0.523
1.441,6
2.310,5
9.031,1
segdirB dna sdaoR)i
9.254,6
7.224,5
2.030,1
8.313,7
1.945,5
7.467,1
4.391,7
6.824,5
7.467,1
7.172,8
0.705,6
7.467,1
@@ srehtO)ii
0.848
7.31
3.438
3.445
4.51
9.825
7.016
7.42
0.685
0.892
0.4
0.492
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
8.017,3
1.678,1
7.438,1
3.912,3
1.739,1
2.282,1
5.540,4
3.182,2
2.467,1
7.974,2
0.935,1
7.049
)vi
ot
i( secivreS
cimonocE lareneG
.9
4.330,1
0.979
4.45
6.159
1.019
5.14
6.790,1
2.350,1
4.44
7.538
6.418
1.12
secivreS
cimonocE
- tairaterceS)i
7.668
7.67
0.097
8.106
8.17
0.035
3.706
3.77
0.035
0.704
2.55
8.153
msiruoT)ii
6.867
4.124
2.743
1.656
4.014
7.542
4.296
2.654
2.632
0.225
7.713
3.402
seilppuS liviC)iii
1.240,1
0.993
1.346
8.900,1
8.445
0.564
2.846,1
6.496
6.359
0.517
5.153
5.363
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
7.712,764
8.238,464
9.483,2
3.582,134
1.576,824
2.016,2
1.593,044
0.052,834
1.541,2
8.833,804
2.907,604
6.926,1
)F ot A( )secivreS
lareneG(
3.689,8
8.519,8
5.07
1.735,9
4.644,9
7.09
1.593,8
6.463,8
5.03
8.094,6
5.612,6
3.472
etatS fo
snagrO
.A
5.324,21
1.544,11
4.879
0.874,11
2.656,01
8.128
6.322,41
3.462,31
4.959
2.482,02
6.618,91
6.764
)ii + i( secivreS
lacsiF
.B
5.680,21
1.801,11
4.879
9.661,11
1.543,01
8.128
1.338,31
8.378,21
4.959
5.811,02
9.056,91
6.764
seituD
dna sexaT fo noitcelloC)i
0.733
0.733
β
1.113
1.113
β
5.093
5.093
β
7.561
7.561
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
6.827,042
6.827,042
β
0.504,022
0.504,022
β
9.150,812
9.150,812
β
1.865,802
1.865,802
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
0.000,4
0.000,4
β
0.000,3
0.000,3
β
0.000,3
0.000,3
β
0.000,1
0.000,1
β
tbeD fo ecnadiovA
6.827,632
6.827,632
β
0.504,712
0.504,712
β
9.150,512
9.150,512
β
1.865,702
1.865,702
β
)vi
ot i( stnemyaP tseretnI
.2
9.557,01
9.557,01
β
9.557,01
9.557,01
β
7.948,9
7.948,9
β
4.744,8
4.744,8
β
ertneC
eht morf
snaoL no tseretnI)i
6.567,802
6.567,802
β
5.518,981
5.518,981
β
4.326,091
4.326,091
β
8.762,381
8.762,381
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
7.017,621
7.017,621
β
9.541,801
9.541,801
β
5.284,111
5.284,111
β
8.454,301
8.454,301
β
snaoL
tekraM
no tseretnI )a(
0.600,77
0.600,77
β
1.898,67
1.898,67
β
0.903,47
0.903,47
β
9.947,47
9.947,47
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
7.605,8
7.605,8
β
9.305,8
9.305,8
β
2.344,7
2.344,7
β
1.502,8
1.502,8
β
.cte
,sdnuF tnedivorP
4.007,8
4.007,8
β
7.923,8
7.923,8
β
6.531,7
6.531,7
β
8.746,7
8.746,7
β
srehtO)vi
7.741,66
7.118,46
0.633,1
6.014,26
9.217,06
7.796,1
4.314,36
1.852,26
2.551,1
3.371,65
8.282,55
5.098
)v ot
i( secivreS evitartsinimdA
.D
0.562,2
0.459,1
0.113
3.896,2
3.229,1
0.677
8.945,2
9.641,2
0.304
9.887,1
4.206,1
5.681
secivreS
lareneG - tairaterceS)i
0.756,1
0.756,1
β
0.155,1
0.155,1
β
0.229,1
0.229,1
β
8.395,1
8.395,1
β
noitartsinimdA tcirtsiD)ii
7.994,54
7.352,54
0.642
1.511,24
1.560,24
0.05
3.818,04
3.837,04
0.08
8.093,93
5.471,93
3.612
eciloP)iii
3.086,5
9.183,5
4.892
5.813,5
3.930,5
2.972
5.106,6
5.653,6
0.542
2.592,4
2.810,4
0.772
skroW cilbuP)vi
7.540,11
1.565,01
6.084
6.727,01
1.531,01
5.295
7.125,11
4.490,11
3.724
7.401,9
0.498,8
7.012
++ srehtO)v
9.742,831
9.742,831
β
8.628,621
8.628,621
β
8.286,531
8.286,531
β
7.573,611
5.873,611
8.2-
snoisneP
.E
7.386
7.386
β
8.726
8.726
β
3.826
3.826
β
6.644
6.644
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
6.956
6.956
β
1.506
1.506
β
1.506
1.506
β
1.834
1.834
β
seirettoL
etatS fo tnuocca no
tnemyaP
0.493,7
0.496,6
0.007
6.540,7
1.373,6
5.276
8.709,6
8.752,6
0.056
6.181,6
7.867,5
9.214
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
0.493,7
0.496,6
0.007
6.540,7
1.373,6
5.276
8.709,6
8.752,6
0.056
6.181,6
7.867,5
9.214
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
227
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
SETATS
LLA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
8.737,185,91
1.126,634,31
9.579,797,5
1.816,142,81
5.358,608,21
6.467,434,5
7.815,320,81
2.681,196,21
5.233,233,5
2.205,797,31
1.533,276,01
0.761,521,3
)III+II+I( ERUTIDNEPXE
LATOT
7.176,834,21
2.486,906,6
6.687,146,5
3.959,698,11
9.068,995,6
4.890,792,5
6.456,636,11
8.197,834,6
7.268,791,5
9.903,554,8
9.023,614,5
0.989,830,3
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
9.326,138,7
5.306,690,4
1.269,636,3
8.714,292,7
5.564,029,3
3.259,173,3
0.946,181,7
0.876,298,3
0.179,882,3
1.802,105,5
6.720,963,3
4.081,231,2
)21 ot 1( secivreS
laicoS
.A
1.717,458,3
8.912,096,2
1.550,211,1
3.576,984,3
1.485,844,2
2.190,140,1
4.459,055,3
9.217,415,2
4.142,630,1
2.943,537,2
5.292,241,2
7.650,395
erutluC dna
trA ,stropS ,noitacudE
.1
3.575,878
0.681,355
1.195,603
4.334,518
0.707,705
3.627,703
5.361,597
9.454,515
5.807,972
4.198,365
1.771,624
2.417,731
htlaeH
cilbuP dna lacideM
.2
4.712,881
2.182,8
7.916,971
7.695,161
5.184,9
1.511,251
0.409,851
3.129,8
8.289,941
6.793,101
2.471,01
4.322,19
erafleW ylimaF
.3
0.557,613
1.220,89
8.998,802
2.505,432
4.388,89
8.126,531
2.973,212
8.389,79
5.593,411
7.345,641
8.116,98
9.139,65
noitatinaS
dna ylppuS retaW
.4
4.460,571
8.547,72
9.696,641
9.114,381
6.868,52
3.345,751
7.373,071
8.236,42
0.147,541
8.570,78
5.669,91
4.901,76
gnisuoH
.5
1.250,524
6.332,151
9.976,762
4.595,374
4.525,771
1.070,692
6.595,084
9.798,761
6.796,213
0.603,513
5.963,411
5.639,002
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
0.561,106
4.324,431
5.032,664
1.470,655
2.021,841
8.359,704
2.845,645
2.559,341
1.395,204
5.119,624
9.768,321
5.340,303
sessalC drawkcaB
5.894,99
4.010,54
5.097,35
2.042,49
1.242,24
1.899,15
3.370,19
7.601,34
7.669,74
4.245,96
6.289,53
7.955,33
erafleW
ruobaL dna ruobaL
.8
2.461,478
4.830,491
9.063,676
6.149,997
1.925,902
5.214,095
8.382,677
2.617,691
6.765,975
1.534,556
8.925,951
4.509,594
erafleW
dna ytiruceS laicoS
.9
6.469,242
6.996,85
4.992,281
7.411,932
3.079,14
3.441,791
1.597,422
5.091,24
6.406,281
8.107,591
5.648,55
3.558,931
noitirtuN
.01
0.534,231
8.325,601
8.757,32
1.942,202
5.435,181
6.417,02
2.808,431
9.847,801
3.950,62
5.463,961
6.238,561
9.135,3
seitimalaC
larutaN
fo tnuocca no feileR
.11
3.510,34
3.912,92
5.089,21
2.085,24
1.910,92
1.165,31
9.967,93
0.753,82
0.314,11
1.986,43
6.673,52
5.213,9
*srehtO
.21
8.740,706,4
7.080,315,2
5.428,400,2
4.145,406,4
4.593,976,2
1.641,529,1
6.500,554,4
9.311,645,2
7.198,809,1
9.101,459,2
3.392,740,2
6.808,609
)9 ot 1( secivreS cimonocE
.B
4.510,612,1
5.035,326
8.695,375
7.079,012,1
0.898,916
7.270,195
7.937,622,1
1.292,016
6.744,616
8.847,418
8.528,644
0.329,763
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
9.150,994
9.090,791
0.110,892
3.722,625
4.565,191
9.166,433
6.645,794
7.228,171
9.327,523
6.794,572
6.953,79
9.731,871
yrdnabsuH porC)i
0.202,43
1.516,01
3.088,22
1.817,93
5.735,01
7.081,92
2.005,04
0.098,01
2.016,92
1.188,22
3.280,9
8.897,31
noitavresnoC
retaW dna lioS)ii
0.609,711
4.856,77
0.622,63
0.894,901
7.748,27
3.056,63
1.734,111
0.135,37
1.609,73
9.502,68
8.273,06
1.338,52
yrdnabsuH laminA)iii
7.757,42
1.729,6
6.038,71
7.472,42
3.098,6
4.483,71
6.691,52
9.978,8
7.613,61
3.128,22
6.076,8
7.051,41
tnempoleveD yriaD)vi
1.174,62
7.944,9
1.624,61
3.962,32
2.993,01
1.078,21
6.617,12
2.075,9
4.641,21
9.029,71
7.087,8
2.041,9
seirehsiF)v
0.444,261
9.859,001
2.377,45
8.998,951
5.669,401
4.339,45
2.309,651
3.751,501
9.547,15
3.342,521
4.647,78
9.694,73
efiL
dliW dna yrtseroF
)iv
3.451
0.441
3.01
3.411
1.801
1.6
6.121
5.511
1.6
7.711
5.901
1.8
snoitatnalP)iiv
0.403,651
4.290,99
1.791,75
5.041,531
1.143,89
4.997,63
4.620,151
3.899,601
1.820,44
4.499,311
2.521,401
2.968,9
gnisuoheraW
dna egarotS dooF)iiiv
6.221,27
7.671,64
4.177,32
6.621,07
1.748,34
5.972,62
4.211,66
9.076,24
5.144,32
4.885,75
7.288,63
7.507,02
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
0.492,47
6.394,03
3.753,34
5.937,37
7.874,53
8.062,83
7.857,86
3.877,53
4.089,23
3.421,88
0.675,13
2.845,65
noitarepo-oC)ix
0.803,84
6.329,44
7.311,3
4.269,84
4.619,44
0.640,4
4.024,78
1.878,44
3.245,24
9.353,4
8.911,2
0.432,2
semmargorP
larutlucirgA rehtO)iix
2.573,232,1
8.546,913
5.570,909
7.545,432,1
1.145,353
6.400,188
9.078,871,1
7.930,733
2.138,148
2.537,784
1.491,232
1.145,552
tnempoleveD laruR
.2
6.822,34
5.096,5
2.322,73
3.539,34
7.504,6
7.925,73
4.349,34
3.196,5
1.252,83
2.538,92
8.832,01
4.695,91
semmargorP
aerA laicepS
.3
3.963,533
1.869,762
0.408,16
3.504,943
5.249,303
8.264,54
6.900,353
8.922,403
8.977,84
8.767,013
5.117,072
3.650,04
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
1.396,412
2.117,102
8.511,21
2.986,342
3.540,132
9.346,21
7.251,742
6.582,432
1.768,21
3.365,222
6.168,902
7.107,21
noitagirrI
muideM dna rojaM
)i
2.970,09
9.399,15
5.375,43
8.468,57
2.582,65
6.975,91
0.774,57
5.564,45
6.110,12
2.369,36
0.162,64
2.207,71
noitagirrI roniM
)ii
0.704,61
1.796,31
2.597,1
8.404,71
5.158,51
3.355,1
5.172,61
3.056,41
2.126,1
2.733,51
4.148,31
8.594,1
eganiarD
dna lortnoC doolF
)iii
2.523,668
2.680,157
9.448,96
8.812,878
3.606,538
5.216,24
9.579,587
9.777,947
0.891,63
3.501,546
0.338,606
3.272,83
ygrenE
.5
0.343,558
6.293,057
4.655,95
0.060,968
3.869,438
7.190,43
5.765,677
6.910,947
9.745,72
3.229,046
3.983,606
0.335,43
rewoP :hcihw
fo
1.598,432
9.913,611
4.809,511
6.835,202
3.358,201
3.586,99
6.974,491
2.383,59
4.690,99
5.003,131
3.195,37
1.907,75
)iii ot
i( slareniM dna yrtsudnI
.6
9.199,28
7.196,92
5.801,15
9.323,38
2.709,33
7.614,94
4.185,97
4.249,82
0.936,05
1.387,55
6.108,32
4.189,13
seirtsudnI
llamS dna egalliV)i
1.991,841
5.503,48
7.814,36
6.307,711
5.478,86
0.928,84
8.656,311
2.863,66
6.882,74
2.251,57
2.077,94
0.283,52
@seirtsudnI)ii
0.407,3
8.223,2
2.183,1
1.115,1
6.17
5.934,1
4.142,1
6.27
8.861,1
2.563
5.91
7.543
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
228
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
SETATS
LLA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
4.604,504
1.476,913
2.119,48
4.017,634
2.925,743
2.181,98
6.179,214
4.634,333
2.535,97
0.339,463
0.838,013
0.590,45
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
9.386,333
3.978,752
4.389,47
8.546,063
3.111,482
5.435,67
6.861,043
3.300,272
3.561,86
8.983,003
7.884,452
1.109,54
segdirB dna sdaoR)i
5.227,17
7.497,16
8.729,9
6.460,67
9.714,36
7.646,21
0.308,27
1.334,16
9.963,11
3.345,46
3.943,65
9.391,8
@@ srehtO)ii
1.891,31
4.715,1
1.533,11
0.251,21
9.096,1
0.164,01
8.558,11
8.837,1
0.711,01
6.833,9
6.493,1
0.449,7
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
6.432,062
3.846,701
4.521,141
6.460,632
3.829,701
3.631,821
0.951,742
5.425,801
6.436,831
6.733,061
1.666,49
4.176,56
)vi
ot
i( secivreS
cimonocE lareneG
.9
9.908,97
1.574,31
6.776,36
3.231,16
5.463,31
8.767,74
3.158,17
5.539,31
8.519,75
0.190,14
1.221,11
9.869,92
secivreS
cimonocE
- tairaterceS)i
7.441,22
6.924,2
2.357,81
0.660,61
3.210,3
7.350,31
9.838,51
0.119,2
8.729,21
8.905,31
9.573,2
9.331,11
msiruoT)ii
0.872,801
1.062,46
9.710,44
2.749,89
1.334,46
1.415,43
3.977,101
0.069,36
4.918,73
2.084,08
7.677,36
5.307,61
seilppuS liviC)iii
1.200,05
5.384,72
8.676,41
2.919,95
4.811,72
8.008,23
5.986,75
9.717,72
5.179,92
5.652,52
4.193,71
1.568,7
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
1.078,306,6
0.479,053,6
0.659,29
8.663,408,5
7.439,037,5
2.234,37
2.219,658,5
0.761,587,5
3.547,17
9.542,909,4
5.151,968,4
5.490,04
)F ot A( )secivreS
lareneG(
1.914,881
0.865,081
6.198,4
7.347,212
2.637,902
6.700,3
2.214,102
0.442,891
2.861,3
3.556,041
4.674,831
9.871,2
etatS fo
snagrO
.A
4.687,442
7.804,522
5.085,51
1.999,432
0.361,612
1.638,81
1.288,732
5.260,912
5.918,81
8.296,502
5.094,791
3.202,8
)ii + i( secivreS
lacsiF
.B
7.793,722
4.256,112
3.941,21
5.417,812
4.677,202
1.839,51
4.690,022
5.579,502
9.021,41
3.107,191
2.307,581
1.899,5
seituD
dna sexaT fo noitcelloC)i
7.883,71
3.657,31
2.134,3
6.482,61
6.683,31
1.898,2
7.587,71
1.780,31
6.896,4
5.199,31
3.787,11
1.402,2
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
6.017,143,2
8.853,303,2
β
8.860,850,2
8.860,850,2
β
3.497,670,2
3.497,670,2
β
3.482,908,1
3.482,908,1
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
6.122,051
5.328,941
β
5.384,921
5.384,921
β
5.118,441
5.118,441
β
3.903,021
3.903,021
β
tbeD fo ecnadiovA
0.984,191,2
3.535,351,2
β
3.585,829,1
3.585,829,1
β
8.289,139,1
8.289,139,1
β
0.579,886,1
0.579,886,1
β
)vi
ot i( stnemyaP tseretnI
.2
6.512,39
2.691,29
β
8.019,29
8.019,29
β
2.015,49
2.015,49
β
1.116,88
1.116,88
β
ertneC
eht morf
snaoL no tseretnI)i
1.840,837,1
7.820,317,1
β
7.576,894,1
7.576,894,1
β
5.129,205,1
5.129,205,1
β
2.321,303,1
2.321,303,1
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
0.007,341,1
2.593,931,1
β
1.896,519
1.896,519
β
2.242,429
2.242,429
β
4.713,067
4.713,067
β
snaoL
tekraM
no tseretnI )a(
7.201,854
9.884,454
β
6.922,954
6.922,954
β
1.882,944
1.882,944
β
6.429,954
6.429,954
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
6.684,813
7.249,703
β
5.585,692
5.585,692
β
3.299,792
3.299,792
β
3.818,462
3.818,462
β
.cte
,sdnuF tnedivorP
7.837,14
7.763,04
β
4.314,04
4.314,04
β
8.855,63
8.855,63
β
5.224,23
5.224,23
β
srehtO)vi
6.583,845,1
8.174,793,1
8.392,27
6.590,463,1
4.175,213,1
2.425,15
7.910,083,1
2.803,033,1
4.117,94
0.130,370,1
9.837,440,1
1.292,82
)v ot
i( secivreS evitartsinimdA
.D
1.791,07
8.059,95
1.443,9
1.311,411
6.751,001
5.559,31
3.017,711
5.437,301
8.579,31
2.674,44
0.518,83
2.166,5
secivreS
lareneG - tairaterceS)i
9.861,551
8.705,731
4.869,51
2.017,031
0.020,221
2.096,8
8.298,621
4.652,021
3.636,6
7.467,201
3.720,89
3.737,4
noitartsinimdA tcirtsiD)ii
8.300,339
7.610,968
3.925,12
0.529,258
2.783,538
8.735,71
7.542,648
1.822,828
6.710,81
8.812,517
1.380,507
7.531,01
eciloP)iii
6.052,911
3.648,011
7.286,2
1.474,801
7.238,501
4.146,2
7.588,011
2.131,801
5.457,2
7.215,48
7.268,18
0.056,2
skroW cilbuP)vi
2.567,072
2.051,022
2.967,22
2.378,751
9.371,941
3.996,8
2.582,871
0.859,961
2.723,8
6.850,621
9.059,021
8.701,5
++ srehtO)v
0.447,951,2
0.445,321,2
β
7.812,668,1
7.812,668,1
β
3.627,868,1
3.627,868,1
β
8.798,036,1
4.655,036,1
4.143
snoisneP
.E
4.428,021
7.226,021
1.091
8.042,86
6.671,86
3.46
7.770,29
6.130,29
1.64
8.486,94
9.406,84
9.970,1
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
5.318,24
5.318,24
β
3.390,04
3.390,04
β
5.561,04
5.561,04
β
5.720,83
5.720,83
β
seirettoL
etatS fo tnuocca no
tnemyaP
1.691,935
8.269,574
3.332,36
0.292,045
9.750,674
1.432,46
9.159,925
4.722,764
5.427,26
3.649,234
7.268,683
6.380,64
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
1.691,935
8.269,574
3.332,36
0.292,045
0.850,674
1.432,46
9.159,925
4.722,764
5.427,26
6.937,534
1.656,983
6.380,64
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
229
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
IHLED
FO
YROTIRRET
LATIPAC
LANOITAN
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
9.020,403
5.600,302
4.410,101
8.773,062
1.111,761
7.662,39
8.804,572
7.293,371
1.610,201
2.566,322
0.768,841
3.897,47
)III+II+I( ERUTIDNEPXE
LATOT
0.152,912
3.756,121
7.395,79
4.637,381
6.837,29
8.799,09
8.488,391
7.896,49
1.681,99
4.546,951
0.763,68
4.872,37
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
9.263,471
3.626,78
6.637,68
2.500,841
9.158,66
4.351,18
1.094,161
4.713,27
6.271,98
4.541,321
9.628,95
4.813,36
)21 ot 1( secivreS
laicoS
.A
9.275,77
1.154,25
9.121,52
9.633,36
0.091,44
9.641,91
9.379,96
2.056,94
7.323,02
1.745,65
1.551,14
9.193,51
erutluC dna
trA ,stropS ,noitacudE
.1
1.429,63
3.671,71
8.747,91
4.696,43
9.544,51
5.052,91
0.193,63
0.956,51
0.237,02
1.706,52
0.455,31
1.350,21
htlaeH
cilbuP dna lacideM
.2
0.769
β
0.769
7.132,1
β
7.132,1
0.529
β
0.529
8.836
β
8.836
erafleW ylimaF
.3
0.016,8
0.005,2
0.011,6
1.653,8
3.802
8.741,8
3.541,11
β
3.541,11
0.774,4
β
0.774,4
noitatinaS
dna ylppuS retaW
.4
5.986,2
5.909
0.087,1
2.690,3
2.648
0.052,2
9.202,5
9.208
0.004,4
4.253,4
0.476
4.876,3
gnisuoH
.5
0.230,71
2.126,5
8.014,11
3.684,41
8.580,3
5.004,11
0.759,31
0.091,3
0.767,01
7.797,11
4.398,1
3.409,9
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
0.083,3
0.091
0.091,3
5.089,2
0.191
5.987,2
1.961,3
1.361
0.600,3
5.913,2
2.8
3.113,2
sessalC drawkcaB
7.080,2
7.100,1
0.970,1
6.142,1
6.249
0.992
5.743,1
1.180,1
4.662
3.129
3.297
0.921
erafleW
ruobaL dna ruobaL
.8
3.381,51
3.855,1
0.526,31
4.609,31
9.605,1
5.993,21
5.474,41
0.213,1
5.261,31
3.828,21
0.562,1
2.365,11
erafleW
dna ytiruceS laicoS
.9
0.005,3
β
0.005,3
0.801,4
β
0.801,4
7.903,4
β
7.903,4
6.770,3
2.0-
8.770,3
noitirtuN
.01
0.430,1
9.828
1.502
8.812
8.88
0.031
4.542
4.011
0.531
2.781
7.39
6.39
seitimalaC
larutaN
fo tnuocca no feileR
.11
4.983,5
4.983,5
β
3.643
3.643
β
7.843
7.843
β
4.193
4.193
β
*srehtO
.21
1.888,44
0.130,43
1.758,01
2.137,53
7.688,52
5.448,9
7.493,23
2.183,22
5.310,01
1.005,63
1.045,62
0.069,9
)9 ot 1( secivreS cimonocE
.B
5.011,1
5.069
0.051
0.029
6.418
3.501
1.499
9.358
2.041
7.868
2.667
5.201
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
3.982
8.062
5.82
4.912
9.112
5.7
9.552
9.622
0.92
6.691
8.571
8.02
yrdnabsuH porC)i
7.4
7.4
β
1.3
1.3
β
5.3
5.3
β
0.2
0.2
β
noitavresnoC
retaW dna lioS)ii
1.722
6.702
5.91
0.091
0.571
0.51
2.181
7.761
5.31
8.441
4.141
4.3
yrdnabsuH laminA)iii
0.06
0.06
β
0.05
0.05
β
0.05
0.05
β
0.501
0.501
β
tnempoleveD yriaD)vi
1.5
1.5
β
5.6
5.6
β
8.5
8.5
β
0.4
0.4
β
seirehsiF)v
0.263
0.062
0.201
6.413
8.132
8.28
7.633
0.932
7.79
3.782
9.802
3.87
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
7.91
7.91
β
7.81
7.81
β
3.81
3.81
β
3.61
3.61
β
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
2.021
2.021
β
8.89
8.89
β
6.911
6.911
β
5.39
5.39
β
noitarepo-oC)ix
3.22
3.22
β
9.81
9.81
β
3.32
3.32
β
2.91
2.91
β
semmargorP
larutlucirgA rehtO)iix
2.331
0.001
2.33
6.901
5.68
1.32
7.121
9.19
8.92
3.19
1.27
2.91
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP
aerA laicepS
.3
7.015,1
7.405,1
0.6
8.004,1
8.993,1
0.1
5.733,1
3.233,1
2.5
9.421,1
0.221,1
8.2
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
noitagirrI
muideM dna rojaM
)i
5.061
5.851
0.2
0.741
0.641
0.1
0.651
0.551
0.1
5.221
2.221
3.0
noitagirrI roniM
)ii
2.053,1
2.643,1
0.4
8.352,1
8.352,1
β
5.181,1
3.771,1
2.4
4.200,1
8.999
6.2
eganiarD
dna lortnoC doolF
)iii
7.010,71
7.085,41
0.034,2
8.882,9
8.722,7
0.160,2
5.209,8
5.797,6
0.501,2
4.396,01
3.946,01
1.44
ygrenE
.5
7.010,71
7.085,41
0.034,2
8.352,9
8.722,7
0.620,2
5.758,8
5.797,6
0.060,2
6.976,01
3.946,01
2.03
rewoP :hcihw
fo
1.094
8.331
3.653
5.793
6.301
9.392
1.104
6.731
5.362
7.403
8.39
9.012
)iii ot
i( slareniM dna yrtsudnI
.6
8.084
5.231
3.843
3.593
4.201
9.292
7.983
2.631
5.352
6.303
7.29
9.012
seirtsudnI
llamS dna egalliV)i
3.9
3.1
0.8
2.2
2.1
0.1
4.11
4.1
0.01
0.1
0.1
β
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
230
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II
xidneppA
IHLED
FO
YROTIRRET
LATIPAC
LANOITAN
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.062,12
0.048,41
1.024,6
7.061,12
0.037,41
7.034,6
1.099,61
0.093,11
1.006,5
3.607,02
9.927,21
4.679,7
)ii +
i(
snoitacinummoC
dna tropsnarT
.7
0.004,6
0.000,4
0.004,2
0.094,6
0.009,3
0.095,2
0.008,5
0.000,3
0.008,2
3.081,5
5.899,2
8.181,2
segdirB dna sdaoR)i
1.068,41
0.048,01
1.020,4
7.076,41
0.038,01
7.048,3
1.091,11
0.093,8
1.008,2
0.625,51
4.137,9
6.497,5
@@ srehtO)ii
2.822
4.02
8.702
5.162
7.61
8.442
8.473
8.41
0.063
3.412
6.21
7.102
tnemnorivnE
dna
ygolonhceT ,ecneicS
.8
6.441,3
9.098,1
7.352,1
3.291,2
7.705,1
7.486
0.372,3
3.367,1
7.905,1
5.694,2
3.490,1
3.204,1
)vi
ot
i( secivreS
cimonocE lareneG
.9
6.78
9.28
7.4
6.96
6.56
0.4
1.98
1.18
0.8
0.56
3.85
7.6
secivreS
cimonocE
- tairaterceS)i
3.814
3.9
0.904
1.583
6.8
5.673
8.254
4.8
4.444
7.89
6.4
1.49
msiruoT)ii
3.146,1
3.106,1
0.04
5.992,1
5.872,1
0.12
4.948,1
4.864,1
0.183
4.058,1
2.158
2.999
seilppuS liviC)iii
4.799
4.791
0.008
1.834
9.451
2.382
7.188
4.502
3.676
4.284
2.081
2.203
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
0.958,47
3.834,17
7.024,3
5.136,76
6.263,56
9.862,2
1.494,07
1.466,76
0.038,2
8.479,55
9.454,45
9.915,1
)F ot A( )secivreS
lareneG(
5.666,9
5.602,9
0.064
6.747,9
4.892,9
2.944
4.400,8
4.955,7
0.544
1.128,6
8.635,6
3.482
etatS fo
snagrO
.A
3.870,71
5.229,51
8.551,1
8.674,41
2.943,41
6.721
5.249,51
9.528,51
6.611
0.265,11
8.264,11
1.99
)ii + i( secivreS
lacsiF
.B
1.770,71
3.129,51
8.551,1
4.074,41
8.243,41
6.721
3.149,51
7.428,51
6.611
6.165,11
5.264,11
1.99
seituD
dna sexaT fo noitcelloC)i
2.1
2.1
β
4.6
4.6
β
2.1
2.1
β
4.0
4.0
β
secivreS lacsiF rehtO)ii
tbeD
fo
gnicivreS
dna stnemyaP
tseretnI
.C
4.772,23
4.772,23
β
6.047,03
6.047,03
β
3.597,23
3.597,23
β
9.242,82
9.242,82
β
)2
+
1(
ro noitcudeR
rof noitairporppA
.1
β
β
β
β
β
β
β
β
β
β
β
β
tbeD fo ecnadiovA
4.772,23
4.772,23
β
6.047,03
6.047,03
β
3.597,23
3.597,23
β
9.242,82
9.242,82
β
)vi
ot i( stnemyaP tseretnI
.2
4.772,23
4.772,23
β
6.047,03
6.047,03
β
3.597,23
3.597,23
β
9.242,82
9.242,82
β
ertneC
eht morf
snaoL no tseretnI)i
β
β
β
β
β
β
β
β
β
β
β
β
tbeD
lanretnI no tseretnI)ii :hcihw fo
β
β
β
β
β
β
β
β
β
β
β
β
snaoL
tekraM
no tseretnI )a(
β
β
β
β
β
β
β
β
β
β
β
β
FSSN
no tseretnI )b(
,sgnivaS
llamS no tseretnI
)iii
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,sdnuF tnedivorP
β
β
β
β
β
β
β
β
β
β
β
β
srehtO)vi
7.194,41
8.686,21
9.408,1
6.424,11
5.237,9
1.296,1
9.494,21
5.622,01
4.862,2
9.353,9
4.712,8
5.631,1
)v ot
i( secivreS evitartsinimdA
.D
7.319
9.248
8.07
6.856
4.985
2.96
5.947
2.756
3.29
4.885
2.815
2.07
secivreS
lareneG - tairaterceS)i
8.461,1
5.667
3.893
9.741,1
4.136
5.615
1.566,1
1.517
0.059
5.349
0.455
4.983
noitartsinimdA tcirtsiD)ii
9.185
1.201
8.974
0.124
2.27
8.843
1.874
1.88
0.093
4.851
3.07
0.88
eciloP)iii
6.268,5
6.268,5
β
9.499,4
9.499,4
β
2.702,5
2.702,5
β
2.234,4
2.234,4
β
skroW cilbuP)vi
7.869,5
7.211,5
0.658
2.202,4
6.444,3
6.757
0.593,4
0.955,3
1.638
4.132,3
7.246,2
8.885
++ srehtO)v
0.052,1
0.052,1
β
0.061,1
0.061,1
β
0.061,1
0.061,1
β
9.2
9.2
β
snoisneP
.E
0.59
0.59
β
8.18
8.18
β
0.79
0.79
β
9.7-
9.7-
β
secivreS
lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
9.019,9
9.019,9
β
9.900,9
9.900,9
β
9.920,11
9.920,11
β
0.540,8
0.540,8
β
snoitubirtnoC
dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot
stnemngissA dna noitasnepmoC
9.019,9
9.019,9
β
9.900,9
9.900,9
β
9.920,11
9.920,11
β
0.540,8
0.540,8
β
snoitutitsnI
jaR itayahcnaP
dna
seidoBAppendix II
231
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
:
II xidneppA
YRREHCUDUP
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
3.389,55
0.871,53
3.508,02
2.255,05
6.051,43
6.104,61
7.728,15
8.086,43
9.641,71
4.728,44
7.083,13
7.644,31
)III+II+I( ERUTIDNEPXE
LATOT
9.723,24
4.912,22
4.801,02
3.189,53
5.651,02
8.428,51
1.911,73
4.945,02
7.965,61
6.034,23
6.024,91
0.010,31
)B
+ A( ERUTIDNEPXE
LATNEMPOLEVED
.I
7.057,32
6.402,8
1.645,51
7.857,81
4.213,7
3.644,11
2.258,91
0.801,7
2.447,21
9.016,61
3.745,6
6.360,01
)21 ot 1( secivreS
laicoS
.A
2.031,8
1.002,4
1.039,3
7.195,6
4.267,3
3.928,2
1.915,6
2.618,3
9.207,2
5.948,5
6.973,3
9.964,2
erutluC dna
trA ,stropS ,noitacudE
.1
3.634,5
2.171,2
1.562,3
0.242,4
5.099,1
5.152,2
0.099,3
3.837,1
7.152,2
4.434,3
4.246,1
0.297,1
htlaeH
cilbuP dna lacideM
.2
0.49
2.21
8.18
7.68
6.7
1.97
7.37
8.6
9.66
3.47
6.6
7.76
erafleW ylimaF
.3
8.627
6.325
2.302
7.687
3.624
4.063
1.706
7.034
4.671
0.886
5.654
5.132
noitatinaS
dna ylppuS retaW
.4
7.977
5.51
2.467
0.144
6.11
4.924
9.386
4.11
5.276
3.383
5.7
8.573
gnisuoH
.5
0.984,1
9.65
1.234,1
7.234,1
3.05
4.283,1
2.670,3
1.75
1.910,3
0.833,1
5.79
5.042,1
tnempoleveD nabrU
.6
,setsaC
deludehcS fo erafleW
.7
rehtO
dna sebirT deludehcS
7.358,1
9.512
8.736,1
4.534,1
4.191
0.442,1
6.235,1
8.612
8.513,1
8.725,1
2.561
6.263,1
sessalC drawkcaB
8.413
4.561
4.941
4.952
5.041
9.811
5.272
1.341
4.921
6.842
5.231
1.611
erafleW
ruobaL dna ruobaL
.8
2.683,4
3.806
9.777,3
6.900,3
3.685
3.324,2
8.866,2
2.815
6.051,2
5.265,2
3.984
2.370,2
erafleW
dna ytiruceS laicoS
.9
2.183
6.821
6.252
6.843
8.47
8.372
6.182
5.77
1.402
5.133
7.66
8.462
noitirtuN
.01
4.54
5.72
9.71
0.03
8.7
2.22
5.15
7.82
8.22
9.98
5.15
4.83
seitimalaC
larutaN
fo tnuocca no feileR
.11
4.311
4.97
0.43
9.49
9.26
0.23
2.59
2.36
0.23
1.38
0.25
1.13
*srehtO
.21
2.775,81
8.410,41
3.265,4
6.222,71
1.448,21
5.873,4
9.662,71
4.144,31
5.528,3
6.918,51
3.378,21
4.649,2
)9 ot 1( secivreS cimonocE
.B
1.195,3
7.448,1
4.647,1
6.089,2
5.254,1
1.825,1
1.859,2
0.582,1
1.376,1
5.875,2
5.861,1
0.014,1
)iix
ot
i( seitivitcA
deillA dna erutlucirgA
.1
9.798
3.032
6.766
4.177
0.902
4.265
8.488
2.512
6.966
3.496
8.581
5.805
yrdnabsuH porC)i
6.22
6.22
β
2.02
2.02
β
4.52
4.52
β
4.02
4.02
β
noitavresnoC
retaW dna lioS)ii
6.014
6.061
0.052
0.533
5.221
5.212
4.843
4.831
0.012
2.503
9.501
3.991
yrdnabsuH laminA)iii
7.45
7.01
0.44
1.34
6.9
5.33
0.44
5.01
5.33
6.24
0.9
6.33
tnempoleveD yriaD)vi
5.404
0.38
5.123
9.064
0.37
9.783
7.674
8.47
9.104
5.464
5.56
0.993
seirehsiF)v
7.07
7.04
0.03
1.85
1.13
0.72
1.36
1.43
0.92
1.74
3.82
8.81
efiL
dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
7.832,1
2.122,1
5.71
2.239
2.229
0.01
7.437
2.227
5.21
0.247
0.796
0.54
gnisuoheraW
dna egarotS dooF)iiiv
0.382
β
0.382
4.212
β
4.212
0.612
β
0.612
1.831
β
1.831
noitacudE
dna hcraeseR
larutlucirgA)xi
β
β
β
β
β
β
β
β
β
β
β
β
snoitutitsnI
ecnaniF larutlucirgA)x
0.79
7.17
3.52
5.18
4.06
1.12
7.08
6.95
1.12
8.95
4.25
4.7
noitarepo-oC)ix
4.111
9.3
5.701
8.56
5.4
3.16
3.48
8.4
5.97
5.46
2.4
3.06
semmargorP
larutlucirgA rehtO)iix
0.205
1.19
9.014
0.134
6.401
4.623
0.175
1.031
9.044
7.692
8.191
9.401
tnempoleveD laruR
.2
4.632
β
4.632
7.87
β
7.87
3.16
β
3.16
3.64
β
3.64
semmargorP
aerA laicepS
.3
4.882
4.461
0.421
0.252
0.731
0.511
0.242
4.631
6.501
1.532
0.811
1.711
lortnoC
doolF dna noitagirrI
.4
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
noitagirrI
muideM dna rojaM
)i
0.272
4.461
6.701
6.532
0.731
6.89
1.822
4.631
7.19
2.412
0.811
2.69
noitagirrI roniM
)ii
4.61
β
4.61
4.61
β
4.61
9.31
β
9.31
9.02
β
9.02
eganiarD
dna lortnoC doolF
)iii
6.416,11
0.235,11
6.28
8.258,01
0.008,01
8.25
6.485,11
4.425,11
2.06
5.851,11
3.160,11
2.79
ygrenE
.5
6.416,11
0.235,11
6.28
8.258,01
0.008,01
8.25
6.485,11
4.425,11
2.06
5.851,11
3.160,11
2.79
rewoP :hcihw
fo
6.228
5.24
1.087
4.244,1
2.53
2.704,1
0.126
4.93
6.185
3.845
8.23
5.515
)iii ot
i( slareniM dna yrtsudnI
.6
2.673
2.24
0.433
7.575
0.53
7.045
2.413
1.93
1.572
3.262
6.23
7.922
seirtsudnI
llamS dna egalliV)i
4.644
3.0
1.644
7.668
2.0
5.668
8.603
3.0
5.603
0.682
2.0
8.582
@seirtsudnI)ii
β
β
β
β
β
β
β
β
β
β
β
β
**srehtO)iiiState Finances : A Study of Budgets of 2015-16
232
).dlcnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
setatS
fo
erutidnepxE
euneveR
: II
xidneppA
YRREHCUDUP
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.694
8.981
2.603
6.184
1.161
5.023
8.504
8.261
0.342
1.943
6.671
5.271
)ii + i(
snoitacinummoC dna tropsnarT
.7
1.673
4.161
7.412
9.334
9.531
0.892
4.363
4.731
0.622
5.282
0.011
5.271
segdirB dna sdaoR)i
9.911
4.82
5.19
8.74
3.52
5.22
4.24
4.52
0.71
6.66
6.66
β
@@ srehtO)ii
5.43
0.4
5.03
8.52
2.32
6.2
3.13
6.3
7.72
3.23
5.2
8.92
tnemnorivnE
dna ygolonhceT ,ecneicS
.8
6.199
4.641
2.548
6.776
4.031
2.745
8.197
6.951
2.236
8.475
7.121
1.354
)vi ot
i( secivreS cimonocE lareneG
.9
8.143
1.63
7.503
6.441
1.43
5.011
6.561
6.43
0.131
8.97
4.53
4.44
secivreS
cimonocE - tairaterceS)i
7.904
2.02
5.983
3.473
0.02
3.453
6.744
6.91
0.824
1.173
2.81
9.253
msiruoT)ii
2.531
7.84
5.68
4.49
7.04
7.35
5.901
9.14
6.76
7.86
0.73
7.13
seilppuS liviC)iii
9.401
4.14
5.36
3.46
6.53
7.82
1.96
5.36
6.5
2.55
1.13
1.42
+ srehtO)vi
ERUTIDNEPXE
LATNEMPOLEVED-NON
.II
1.095,31
2.398,21
9.696
9.394,41
1.719,31
8.675
7.036,41
5.350,41
2.775
1.943,21
4.219,11
7.634
)F ot A( )secivreS
lareneG(
7.654
5.904
2.74
6.054
3.234
3.81
6.354
6.814
0.53
2.863
3.443
9.32
etatS fo
snagrO
.A
5.194
0.673
5.511
7.954
7.053
0.901
5.644
0.333
5.311
8.073
3.913
5.15
)ii + i( secivreS
lacsiF
.B
5.194
0.673
5.511
7.954
7.053
0.901
5.644
0.333
5.311
8.073
3.913
5.15
seituD dna sexaT fo noitcelloC)i
β
β
β
β
β
β
β
β
β
β
β
β
secivreS lacsiF rehtO)ii
tbeD fo
gnicivreS dna stnemyaP
tseretnI
.C
0.022,5
0.022,5
β
0.523,6
0.523,6
β
0.687,6
0.687,6
β
7.372,5
7.372,5
β
)2
+
1(
ro noitcudeR rof noitairporppA
.1
β
β
β
0.508
0.508
β
0.016,1
0.016,1
β
0.005
0.005
β
tbeD fo ecnadiovA
0.022,5
0.022,5
β
0.025,5
0.025,5
β
0.671,5
0.671,5
β
7.377,4
7.377,4
β
)vi ot i( stnemyaP tseretnI
.2
6.426,1
6.426,1
β
1.717,1
1.717,1
β
8.737,1
8.737,1
β
6.718,1
6.718,1
β
ertneC
eht morf snaoL no tseretnI)i
3.731,3
3.731,3
β
0.743,3
0.743,3
β
0.230,3
0.230,3
β
8.995,2
8.995,2
β
tbeD lanretnI no tseretnI)ii :hcihw fo
3.226,2
3.226,2
β
0.238,2
0.238,2
β
0.236,2
0.236,2
β
6.132,2
6.132,2
β
snaoL
tekraM no tseretnI )a(
β
β
β
β
β
β
β
β
β
β
β
β
FSSN no tseretnI )b( ,sgnivaS llamS no tseretnI
)iii
0.793
0.793
β
0.693
0.693
β
0.653
0.653
β
3.643
3.643
β
.cte ,sdnuF tnedivorP
1.16
1.16
β
0.06
0.06
β
2.05
2.05
β
0.01
0.01
β
srehtO)vi
5.901,3
3.575,2
2.435
5.109,2
0.254,2
5.944
1.957,2
4.033,2
7.824
2.484,2
9.221,2
3.163
)v ot i( secivreS evitartsinimdA
.D
1.242
6.232
5.9
4.522
1.712
3.8
8.722
6.812
2.9
6.491
4.681
2.8
secivreS lareneG - tairaterceS)i
2.55
4.24
8.21
3.74
7.63
6.01
0.54
3.63
7.8
3.04
7.33
6.6
noitartsinimdA tcirtsiD)ii
5.086,1
5.034,1
0.052
5.206,1
6.553,1
9.642
7.944,1
7.912,1
0.032
2.252,1
2.390,1
0.951
eciloP)iii
3.382
4.562
9.71
6.533
9.723
7.7
5.113
2.703
3.4
7.572
1.762
6.8
skroW cilbuP)vi
4.848
4.406
0.442
8.096
8.415
0.671
1.527
6.845
5.671
4.127
5.245
9.871
++ srehtO)v
4.192,4
4.192,4
β
8.313,4
8.313,4
β
5.661,4
5.661,4
β
8.048,3
8.048,3
β
snoisneP
.E
0.12
0.12
β
3.34
3.34
β
1.91
1.91
β
5.11
5.11
β
secivreS lareneG suoenallecsiM
.F
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seirettoL
etatS fo tnuocca no
tnemyaP
3.56
3.56
β
0.77
0.77
β
9.77
9.77
β
7.74
7.74
β
snoitubirtnoC dna diA-ni-stnarG.III
:hcihw
fo
lacoL
ot stnemngissA dna noitasnepmoC
3.56
3.56
β
0.77
0.77
β
9.77
9.77
β
7.74
7.74
β
snoitutitsnI jaR itayahcnaP
dna
seidoB
.cte
,secivreS
laicoS
rehto
,secivreS
laicoS-tairaterceS
,yticilbuP
dna
noitamrofnI
no
erutidnepxe
edulcnI
:
*
.elbaliava toN/elbigilgeN/liN
:
β
.slareniM
dna
seirtsudnI
no
syaltuO
rehto
dna
seirtsudnI
rehto
no
erutidnepxe
edulcnI
:
**
.seirtsudnI
lacigrullateM
dna
gniniM
suorreF-noN
no erutidnepxe
edulcnI
:
@
.cte
,tropsnarT
retaW
dnalnI
,tropsnarT
daoR
,noitaivA
liviC
,sesuoH
thgiL
dna troP no erutidnepxe
edulcnI
: @@
.secivreS
cimonocE
lareneG
rehtO
dna
scitsitatS
dna
yevruS
susneC
,noitomorP
tropxE
dna
edarT
ngieroF no erutidnepxe
edulcnI
:
+
.cte
,secivreS
evitartsinimdA
rehtO
,gnitnirP
dna
yrenoitatS
,lasopsiD
dna
seilppuS
,sliaJ
,noitartsinimdA
,stnuoccA
dna
yrusaerT
,noissimmoC
ecivreS
cilbuP no erutidnepxe
edulcnI
:
++
.secidneppA ot
seton
ees
oslA
.GAC
yb
dehsilbup
etatS
eht
fo
stnuoccA
ecnaniF
morf
nekat
era
41-3102
rof
rimhsaK
dna ummaJ ot gniniatrep
ataD
.1
:etoN
.rimhsaK
&
ummaJ
yb
nevig
ton
si
pu
kaerb
eht
sa
pu
dda
ton
lliw
)EB(
61-5102
rof pu
kaerb nalp non-nalp setats
llA
.2
.stnemnrevog
etats fo stnemucod
tegduB
:
ecruoSAppendix III
Appendix III : Capital Receipts of States and Union Territories with Legislature
(` Million)
ANDHRA PRADESH ARUNACHAL PRADESH
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 2,606,297.6 574,918.8 654,918.8 622,942.2 181,205.9 42,916.4 298,648.6 307,391.5
TOTAL CAPITAL RECEIPTS 288,601.6 172,890.1 252,890.1 217,274.9 16,405.9 2,853.9 28,826.8 -39,812.1
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 239,498.4 145,269.9 225,269.9 204,664.6 5,800.6 9,130.6 8,505.9 10,679.0
1. Market Loans 224,116.4 105,329.5 185,329.5 185,770.7 2,300.0 3,500.0 3,060.5 2,180.0
2. Loans from LIC β β β β β β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development 7,791.5 8,085.4 8,085.4 8,893.9 670.0 1,150.0 936.4 3,622.1
5. Loans from National Co-operative
Development Corporation 1,227.8 β β β β β β β
6. WMA from RBI β 10,000.0 10,000.0 10,000.0 β 1,380.0 1,475.0 1,475.0
7. Special Securities issued to NSSF 6,362.7 β β β 2,753.8 2,830.6 2,951.7 2,851.9
8. Others@ β 21,855.0 21,855.0 β 76.8 270.0 82.3 550.0
of which: Land Compensation and other Bonds β 21,855.0 21,855.0 β β β β β
II. Loans and Advances from the Centre (1 to 6) 13,422.9 9,782.7 9,782.7 12,600.0 β β β β
1. State Plan Schemes 13,422.9 9,782.7 9,782.7 12,600.0 β β β β
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β β β β β
3. Centrally Sponsored Schemes β β β β β β β β
4. Non-Plan (i + ii) β β β β β β β β
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others β β β β β β β β
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) 5,749.4 19,215.5 19,215.5 2,526.1 34.2 β 254.9 280.4
1. Housing 20.6 8.6 8.6 β β β β β
2. Urban Development β 0.5 0.5 β β β β β
3. Crop Husbandry β 16.3 16.3 β β β β β
4. Food Storage and Warehousing β 0.1 0.1 β β β β β
5. Co-operation 45.3 14.6 14.6 β 6.3 β 226.0 248.6
6. Minor Irrigation β β β β β β β β
7. Power Projects 3,888.4 18,120.8 18,120.8 1,778.5 β β β β
8. Village and Small Industries β 41.3 41.3 β β β β β
9. Industries and Minerals 5.5 41.7 41.7 β β β β β
10. Road Transport β β β β β β β β
11. Government Servants, etc.+ 1,637.1 750.1 750.1 747.6 27.9 β 28.9 31.8
12. Others** 152.5 221.6 221.6 β β β β β
IV. Inter-State Settlement β β β β β β β β
V. Contingency Fund 20.5 β β β β β β β
VI. State Provident Funds, etc. (1 + 2) 36,732.9 23,854.9 23,854.9 26,241.6 3,083.7 697.7 2,090.9 2,195.5
1. State Provident Funds 28,621.1 19,322.5 19,322.5 19,146.0 2,995.1 686.8 2,059.8 2,162.8
2. Others 8,111.8 4,532.4 4,532.4 7,095.6 88.5 10.9 31.1 32.6
VII. Reserve Funds (1 to 4) 38,982.5 24,221.3 24,221.3 23,935.0 625.4 642.0 622.0 2,475.0
1. Depreciation/Renewal Reserve Funds β β β β β β β β
2. Sinking Funds 14,680.7 9,366.3 9,366.3 8,802.9 200.0 240.0 200.0 2,000.0
3. Famine Relief Fund β β β β β β β β
4. Others 24,301.8 14,855.1 14,855.1 15,132.1 425.4 402.0 422.0 475.0
VIII. Deposits and Advances (1 to 4) 529,924.2 352,574.4 352,574.4 352,974.9 13,707.5 988.1 14,680.8 5,642.9
1. Civil Deposits 285,460.4 177,144.5 177,144.5 189,972.1 12,884.8 871.7 14,201.6 5,139.8
2. Deposits of Local Funds 132,871.5 83,905.0 83,905.0 73,641.1 β β β β
3. Civil Advances 1,527.2 1,014.7 1,014.7 1,071.8 581.6 42.7 79.8 83.8
4. Others 110,065.1 90,510.2 90,510.2 88,289.8 241.1 73.7 399.4 419.3
IX. Suspense and Miscellaneous (1 to 4) 1,565,373.2 β β β 127,956.5 29,376.5 265,691.7 278,976.3
1. Suspense 2280.16 β β β 9639.8 -3.3 8968.8 9417.3
2. Cash Balance Investment Accounts 1,329,471.9 β β β 118,058.4 29,372.4 41,204.7 43,264.9
3. Deposits with RBI β β β β β β 215,509.9 226,285.4
4. Others 233,621.2 β β β 258.3 7.4 8.2 8.7
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts 86.0 β β β β β β β
of which: Disinvestment β β β β β β β β
XII. Remittances 176,507.7 β β β 29,998.1 2,081.5 6,802.4 7,142.5
233State Finances : A Study of Budgets of 2015-16
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
ASSAM BIHAR
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 1,543,406.3 2,858,256.0 1,776,151.8 1,932,281.4 1,657,529.9 272,820.7 279,246.4 316,810.3
TOTAL CAPITAL RECEIPTS 25,944.3 61,443.1 55,925.5 64,444.9 134,927.7 151,381.1 151,381.1 175,446.9
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 11,474.6 43,911.4 43,911.4 72,133.2 93,574.3 128,781.5 128,781.5 149,201.3
1. Market Loans β 29,261.4 29,261.4 30,833.2 65,000.0 96,364.5 91,364.5 111,136.6
2. Loans from LIC -1.1 β β β β β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development 2,380.7 4,150.0 4,150.0 6,000.0 14,228.1 21,659.0 21,659.0 21,000.0
5. Loans from National Co-operative
Development Corporation β β β β 480.7 758.0 758.0 564.7
6. WMA from RBI β 500.0 500.0 25,400.0 β β β β
7. Special Securities issued to NSSF 9,093.9 10,000.0 10,000.0 9,900.0 13,864.9 10,000.0 15,000.0 16,500.0
8. Others@ 1.1 β β β 0.7 β β β
of which: Land Compensation and other Bonds β β β β β β β β
II. Loans and Advances from the Centre (1 to 6) 486.1 2,179.6 1,470.0 5,549.2 5,496.6 18,491.9 18,491.9 27,886.8
1. State Plan Schemes 486.1 2,079.6 1,370.0 5,449.2 5,496.6 18,491.9 18,491.9 27,886.8
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β β β β β
3. Centrally Sponsored Schemes β β β β β β β β
4. Non-Plan (i + ii) β β β β β β β β
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others β β β β β β β β
5. Ways and Means Advances from Centre β 100.0 100.0 100.0 β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) 60.7 54.9 66.8 73.5 150.3 159.7 159.7 165.2
1. Housing β β β β 0.2 β β β
2. Urban Development β β β β β β β β
3. Crop Husbandry β β β β β β β β
4. Food Storage and Warehousing β β β β β β β β
5. Co-operation 1.1 2.3 1.2 1.3 6.6 11.1 11.1 12.1
6. Minor Irrigation β β β β β β β β
7. Power Projects β β β β β β β β
8. Village and Small Industries 0.2 0.1 0.2 0.2 2.7 β β β
9. Industries and Minerals β β β β 0.1 6.3 6.3 0.1
10. Road Transport β β β β β β β β
11. Government Servants, etc.+ 31.5 52.5 34.6 38.1 140.8 142.3 142.3 153.1
12. Others** 28.0 β 30.8 33.9 β β β β
IV. Inter-State Settlement β β β β β β β β
V. Contingency Fund β 500.0 1,000.0 1,000.0 β β β β
VI. State Provident Funds, etc. (1 + 2) 14,547.0 15,468.2 16,001.7 17,601.9 10,723.0 16,445.0 16,445.0 12,974.9
1. State Provident Funds 13,472.2 14,087.6 14,819.4 16,301.4 9,988.3 12,107.1 12,107.1 12,085.8
2. Others 1,074.8 1,380.6 1,182.3 1,300.5 734.8 4,337.9 4,337.9 889.1
VII. Reserve Funds (1 to 4) 5,434.4 14,560.7 6,403.3 7,157.5 8,234.8 7,392.6 13,818.3 9,608.6
1. Depreciation/Renewal Reserve Funds β β β β β β β β
2. Sinking Funds 2,868.8 11,091.9 3,174.5 3,607.3 4,362.7 3,326.9 9,752.6 4,918.6
3. Famine Relief Fund β β β β β β β β
4. Others 2,565.6 3,468.9 3,228.7 3,550.3 3,872.1 4,065.7 4,065.7 4,690.0
VIII. Deposits and Advances (1 to 4) 84,315.9 84,709.5 92,749.3 102,024.3 186,093.7 101,550.0 101,550.0 116,973.5
1. Civil Deposits 52,286.1 54,059.6 57,514.7 63,266.1 39,136.7 43,200.0 43,200.0 47,000.0
2. Deposits of Local Funds β β β β 76,417.0 56,300.0 56,300.0 68,000.0
3. Civil Advances 29,966.1 29,537.8 32,962.7 36,259.0 1,631.0 2,050.0 2,050.0 1,973.5
4. Others 2,063.7 1,112.1 2,271.9 2,499.1 68,909.0 β β β
IX. Suspense and Miscellaneous (1 to 4) 1,382,101.0 2,648,098.9 1,565,095.1 1,672,342.2 1,229,521.2 β β β
1. Suspense 198.61 1,080.3 218.5 240.3 5,790.5 β β β
2. Cash Balance Investment Accounts 1,381,644.5 2,646,705.3 1,564,592.9 1,671,789.8 1,220,234.1 β β β
3. Deposits with RBI β β β β β β β β
4. Others 257.9 313.3 283.7 312.1 3,496.6 β β β
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts β β β β β β β β
of which: Disinvestment β β β β β β β β
XII. Remittances 44,986.6 48,772.7 49,454.2 54,399.7 123,735.8 β β β
234Appendix III
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
CHHATTISGARH GOA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 1,173,124.0 992,523.7 992,373.2 1,003,467.0 142,514.0 208,119.3 208,119.3 218,077.7
TOTAL CAPITAL RECEIPTS 80,200.1 69,691.8 68,994.2 77,952.2 17,143.8 18,937.7 16,937.7 18,962.1
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 39,173.0 63,950.0 63,950.0 72,950.0 11,989.5 12,005.0 12,005.0 12,580.3
1. Market Loans 30,000.0 44,000.0 44,000.0 53,000.0 9,900.0 10,000.0 10,000.0 10,500.0
2. Loans from LIC β β β β β β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development 6,743.9 14,500.0 14,500.0 14,500.0 1,066.0 1,000.0 1,000.0 1,050.0
5. Loans from National Co-operative
Development Corporation 2.3 100.0 100.0 100.0 β 5.0 5.0 5.3
6. WMA from RBI β 2,850.0 2,850.0 2,850.0 526.9 500.0 500.0 500.0
7. Special Securities issued to NSSF 2,426.8 2,500.0 2,500.0 2,500.0 496.6 500.0 500.0 525.0
8. Others@ β β β β β β β β
of which: Land Compensation and other Bonds β β β β β β β β
II. Loans and Advances from the Centre (1 to 6) 145.9 460.0 460.0 460.0 1,498.4 2,251.2 2,251.2 2,363.8
1. State Plan Schemes 119.3 400.0 400.0 400.0 1,503.7 2,250.0 2,250.0 2,362.5
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β β β β β
3. Centrally Sponsored Schemes β 25.0 25.0 25.0 -5.4 β β β
4. Non-Plan (i + ii) 26.7 35.0 35.0 35.0 β 1.2 1.2 1.3
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others 26.7 35.0 35.0 35.0 β 1.2 1.2 1.3
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) 16,372.7 2,947.7 2,250.0 2,208.1 125.7 176.8 176.8 193.1
1. Housing β β β β β 9.4 9.4 9.4
2. Urban Development 402.5 795.0 795.0 771.4 β β β β
3. Crop Husbandry 1,300.3 301.0 301.0 2.0 β β β β
4. Food Storage and Warehousing 11,154.2 50.0 50.0 135.7 β β β β
5. Co-operation 647.2 362.0 362.3 557.1 6.1 6.7 6.7 7.5
6. Minor Irrigation β β β β β β β β
7. Power Projects 583.5 731.7 731.7 731.7 β β β β
8. Village and Small Industries 1.7 0.4 1.5 1.7 0.1 0.1 0.1 0.1
9. Industries and Minerals 46.0 β β β β β β β
10. Road Transport β β β β β β β β
11. Government Servants, etc.+ -1.0 7.5 7.5 7.5 113.2 147.4 147.4 163.0
12. Others** 2,238.3 700.0 1.0 1.0 6.4 13.1 13.1 13.1
IV. Inter-State Settlement 51.4 0.1 0.1 0.1 β β β β
V. Contingency Fund β 400.0 467.1 400.0 β β β β
VI. State Provident Funds, etc. (1 + 2) 8,824.1 10,040.0 10,040.0 10,140.0 3,467.5 3,706.2 3,706.2 3,491.6
1. State Provident Funds 7,886.3 9,140.0 9,140.0 9,140.0 3,416.7 3,657.2 3,657.2 3,440.1
2. Others 937.8 900.0 900.0 1,000.0 50.8 49.1 49.1 51.5
VII. Reserve Funds (1 to 4) 8,275.5 10,342.3 10,342.3 10,925.2 1,570.1 1,315.7 1,315.7 1,381.5
1. Depreciation/Renewal Reserve Funds β 0.1 0.1 0.1 β β β β
2. Sinking Funds 1,000.0 1,000.0 1,000.0 2,000.0 412.5 414.5 414.5 435.2
3. Famine Relief Fund 117.5 3.2 3.2 3.2 β β β β
4. Others 7,158.1 9,339.0 9,339.0 8,921.9 1,157.6 901.2 901.2 946.3
VIII. Deposits and Advances (1 to 4) 52,387.9 35,771.2 36,251.2 37,771.2 5,030.3 3,401.0 3,401.0 3,541.1
1. Civil Deposits 44,902.0 25,700.4 25,700.4 25,700.4 3,706.1 2,416.1 2,416.1 2,506.9
2. Deposits of Local Funds 0.1 0.8 0.8 0.8 β β β β
3. Civil Advances 5,703.7 4,500.0 4,500.0 4,500.0 125.6 139.2 139.2 146.1
4. Others 1,782.0 5,570.0 6,050.0 7,570.0 1,198.7 845.8 845.8 888.1
IX. Suspense and Miscellaneous (1 to 4) 952,215.0 796,412.2 796,412.2 796,412.2 86,852.0 148,289.7 148,289.7 155,704.1
1. Suspense 232.54 97.1 97.1 97.1 407.7 4,653.3 4653.3 4886.0
2. Cash Balance Investment Accounts 448,610.5 539,815.0 539,815.0 539,815.0 43,584.7 106,081.9 106,081.9 111,386.0
3. Deposits with RBI 209,874.8 1,400.0 1,400.0 1,400.0 β β β β
4. Others 293,497.1 255,100.1 255,100.1 255,100.1 42,859.6 37,554.5 37,554.5 39,432.2
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts 76.4 β β β β β β β
of which: Disinvestment β β β β β β β β
XII. Remittances 95,602.1 72,200.2 72,200.2 72,200.2 31,980.7 36,973.7 36,973.7 38,822.4
235State Finances : A Study of Budgets of 2015-16
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
GUJARAT HARYANA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 2,627,032.5 1,694,133.4 1,690,914.9 1,702,078.1 869,456.7 780,770.8 955,330.8 1,116,770.9
TOTAL CAPITAL RECEIPTS 218,613.3 290,138.7 282,619.3 283,485.4 137,812.4 138,794.0 167,353.2 210,960.7
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 191,820.1 242,510.0 211,010.0 242,160.0 173,714.8 246,121.9 208,326.4 257,036.7
1. Market Loans 154,925.5 204,500.0 170,000.0 204,500.0 114,461.8 139,511.7 138,000.0 170,190.0
2. Loans from LIC β β β β β β β β
3. Loans from SBI and other Banks β β β β 43,000.0 73,500.0 36,500.0 65,000.0
4. Loans from National Bank for
Agriculture and Rural Development β β β β 3,988.5 5,876.9 5,515.5 4,926.2
5. Loans from National Co-operative
Development Corporation β β β β 787.5 458.3 475.9 285.5
6. WMA from RBI β 10.0 10.0 10.0 1,087.9 20,000.0 20,010.0 10,010.0
7. Special Securities issued to NSSF 19,120.6 20,000.0 20,000.0 16,650.0 5,666.0 2,000.0 4,000.0 4,000.0
8. Others@ 17,774.0 18,000.0 21,000.0 21,000.0 4,723.1 4,775.0 3,825.0 2,625.0
of which: Land Compensation and other Bonds β β β β β β β β
II. Loans and Advances from the Centre (1 to 6) 1,610.3 6,468.5 6,468.5 6,358.9 3,414.7 3,528.2 1,010.0 6,010.0
1. State Plan Schemes 1,610.3 6,468.5 6,468.5 6,358.9 3,391.8 3,500.2 1,000.0 6,000.0
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β -86.0 β β β
3. Centrally Sponsored Schemes β β β β -171.0 18.0 β β
4. Non-Plan (i + ii) β β β β 280.0 10.0 10.0 10.0
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others β β β β 280.0 10.0 10.0 10.0
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) 1,406.9 2,394.9 2,394.9 2,599.9 2,618.5 3,417.7 3,894.0 3,921.0
1. Housing 2.5 43.2 43.2 47.5 0.5 0.3 0.2 0.2
2. Urban Development β 126.9 126.9 139.6 β 0.2 β β
3. Crop Husbandry 11.8 0.8 0.8 0.8 β β β β
4. Food Storage and Warehousing 0.9 5.9 5.9 6.5 β β β β
5. Co-operation 2.0 108.0 108.0 118.8 290.1 146.4 857.2 169.6
6. Minor Irrigation β β β β β β β β
7. Power Projects 570.5 810.0 810.0 962.8 79.4 105.9 352.6 806.8
8. Village and Small Industries 0.5 12.4 12.4 13.7 138.0 250.0 200.0 150.0
9. Industries and Minerals β 172.8 172.8 180.1 β β β β
10. Road Transport β β β β β β β β
11. Government Servants, etc.+ 406.5 648.0 648.0 644.6 2,078.9 2,371.0 2,417.8 2,600.4
12. Others** 412.2 466.9 466.9 485.5 31.7 543.9 66.2 194.0
IV. Inter-State Settlement β 0.1 0.1 0.1 β β β β
V. Contingency Fund β 9.9 405.8 β β β β β
VI. State Provident Funds, etc. (1 + 2) 20,537.3 27,111.2 27,731.9 29,817.2 24,988.1 27,100.0 27,600.0 30,400.0
1. State Provident Funds 18,640.4 25,428.7 25,428.7 27,685.2 24,255.0 27,000.0 27,000.0 29,700.0
2. Others 1,896.9 1,682.5 2,303.2 2,132.0 733.0 100.0 600.0 700.0
VII. Reserve Funds (1 to 4) 11,522.9 22,679.8 19,998.0 19,938.0 5,115.0 7,710.8 18,582.2 9,313.9
1. Depreciation/Renewal Reserve Funds 13.7 15.0 15.0 15.0 621.0 647.4 676.9 748.9
2. Sinking Funds β 7,000.0 5,000.0 5,000.0 850.1 4,044.3 6,993.8 5,250.0
3. Famine Relief Fund β β β β β β β β
4. Others 11,509.2 15,664.8 14,983.0 14,923.0 3,644.0 3,019.1 10,911.5 3,315.0
VIII. Deposits and Advances (1 to 4) 345,101.5 320,801.7 336,751.8 338,918.4 156,455.0 102,487.0 125,374.9 169,943.3
1. Civil Deposits 64,439.5 58,491.8 66,837.9 68,656.5 36,972.2 17,993.0 25,500.0 22,500.0
2. Deposits of Local Funds 270,457.6 254,245.9 259,275.6 260,010.8 195.3 344.0 150.0 170.0
3. Civil Advances 4,934.4 3,100.8 3,100.8 3,100.8 244.3 540.0 210.0 190.0
4. Others 5,270.0 4,963.2 7,537.5 7,150.3 119,043.3 83,610.0 99,514.9 147,083.3
IX. Suspense and Miscellaneous (1 to 4) 1,899,350.4 1,028,244.7 1,028,260.7 1,028,273.0 427,839.5 312,409.0 487,689.7 549,018.0
1. Suspense -25.10 21.9 21.9 34.2 3,432.3 105,257.0 6100.0 8900.0
2. Cash Balance Investment Accounts 1,907,761.5 10,000.0 10,000.0 10,000.0 424,012.4 205,815.4 481,155.9 539,702.7
3. Deposits with RBI β 480,631.5 480,631.5 480,631.5 β β β β
4. Others -8,386.0 537,591.3 537,607.3 537,607.3 394.8 1,336.6 433.8 415.3
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts β 10,000.0 23,980.6 100.0 98.9 260.3 123.6 125.0
of which: Disinvestment β β β β 98.9 260.3 123.6 125.0
XII. Remittances 155,683.1 33,912.6 33,912.6 33,912.6 75,212.2 77,736.0 82,730.0 91,003.0
236Appendix III
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
HIMACHAL PRADESH JAMMU AND KASHMIR
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 272,927.3 79,624.4 144,282.2 77,817.8 384,126.0 81,937.5 157,060.1 151,641.2
TOTAL CAPITAL RECEIPTS 37,235.8 49,847.5 56,347.5 48,040.9 68,126.9 43,214.3 42,646.4 42,876.7
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 39,914.5 35,840.5 95,195.4 38,375.3 59,868.2 28,390.0 99,087.8 99,572.6
1. Market Loans 23,669.9 29,338.1 27,624.1 34,375.0 20,800.0 27,140.0 26,680.0 28,414.8
2. Loans from LIC β β β β 2,560.0 β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development 3,500.0 3,000.0 4,000.0 4,000.0 2,773.1 β β β
5. Loans from National Co-operative
Development Corporation 289.9 2.3 413.4 0.2 β β β β
6. WMA from RBI 6,285.7 0.1 58,157.9 0.1 28,499.0 β 71,157.8 71,157.8
7. Special Securities issued to NSSF 6,168.9 3,500.0 5,000.0 β 3,159.9 1,250.0 1,250.0 β
8. Others@ β β β β 2,076.2 β β β
of which: Land Compensation and other Bonds β β β β 2,016.7 β β β
II. Loans and Advances from the Centre (1 to 6) 592.5 499.1 1,302.0 498.8 152.8 β β β
1. State Plan Schemes 590.4 499.1 1,300.0 498.8 152.8 β β β
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β β β β β
3. Centrally Sponsored Schemes β β 2.0 β β β β β
4. Non-Plan (i + ii) 2.1 β β β β β β β
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others 2.1 β β β β β β β
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) 167.5 257.9 258.0 166.9 41.3 45.4 45.4 45.2
1. Housing 3.0 2.6 2.6 2.6 0.9 0.7 0.7 0.7
2. Urban Development β β β β β β β β
3. Crop Husbandry 0.1 0.2 0.2 0.2 0.3 0.3 0.3 0.3
4. Food Storage and Warehousing 0.3 0.5 0.5 β β β β β
5. Co-operation 46.2 45.9 45.9 34.0 β β β β
6. Minor Irrigation β β β β β β β β
7. Power Projects β 12.2 12.2 12.2 β β β β
8. Village and Small Industries 1.2 1.0 1.0 1.0 0.1 β β β
9. Industries and Minerals β β β β 25.0 25.0 25.0 25.0
10. Road Transport β β β β β β β β
11. Government Servants, etc.+ 103.3 195.0 195.0 116.6 10.8 18.0 18.0 18.0
12. Others** 13.5 0.5 0.5 0.4 4.2 1.5 1.5 1.2
IV. Inter-State Settlement β β β β β β β β
V. Contingency Fund β β β β β β β β
VI. State Provident Funds, etc. (1 + 2) 27,722.8 22,250.0 22,250.0 22,000.0 38,198.9 37,841.2 37,841.2 37,841.2
1. State Provident Funds 27,487.8 21,750.0 21,750.0 21,750.0 36,509.4 37,163.0 37,163.0 37,163.0
2. Others 235.0 500.0 500.0 250.0 1,689.5 678.2 678.2 678.2
VII. Reserve Funds (1 to 4) 1,525.9 10.2 10.2 10.2 6,369.3 2,736.5 2,711.9 3,246.5
1. Depreciation/Renewal Reserve Funds β β β β β β β β
2. Sinking Funds β β β β 297.6 357.3 357.3 398.1
3. Famine Relief Fund β β β β β β β β
4. Others 1,525.9 10.2 10.2 10.2 6,071.7 2,379.2 2,354.6 2,848.4
VIII. Deposits and Advances (1 to 4) 19,729.9 5,738.8 5,738.8 3,738.8 31,376.2 7,172.2 6,424.5 5,781.6
1. Civil Deposits 16,296.7 2,798.7 2,798.7 798.7 15,460.7 110.0 110.0 110.0
2. Deposits of Local Funds 606.4 2,150.0 2,150.0 2,150.0 9,846.0 6,942.2 6,194.5 5,551.6
3. Civil Advances 1,206.1 725.0 725.0 725.0 3,207.4 120.0 120.0 120.0
4. Others 1,620.6 65.1 65.1 65.1 2,862.1 β β β
IX. Suspense and Miscellaneous (1 to 4) 134,239.3 8,224.1 8,224.1 8,224.1 151,995.3 4,422.2 9,619.3 3,824.3
1. Suspense 5053.49 1,710.0 1,710.0 1,710.0 6,328.4 3,822.2 3019.3 3224.3
2. Cash Balance Investment Accounts 129,280.2 1,500.0 1,500.0 1,500.0 145,303.8 360.0 6,360.0 360.0
3. Deposits with RBI β 5,000.0 5,000.0 5,000.0 β β β β
4. Others -94.3 14.1 14.1 14.1 363.1 240.0 240.0 240.0
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts β 2,000.0 6,500.0 β β β β β
of which: Disinvestment β 2,000.0 6,500.0 β β β β β
XII. Remittances 49,034.9 4,803.7 4,803.7 4,803.7 96,124.0 1,330.0 1,330.0 1,330.0
237State Finances : A Study of Budgets of 2015-16
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
JHARKHAND KARNATAKA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 514,123.5 504,189.4 559,841.9 579,648.7 2,755,497.0 2,848,880.4 2,820,430.3 3,093,111.7
TOTAL CAPITAL RECEIPTS 47,006.5 84,658.0 73,572.4 78,951.6 252,251.4 249,430.1 240,980.0 237,833.4
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 45,967.5 68,900.0 66,900.0 69,160.0 161,322.4 233,123.3 208,920.0 212,250.0
1. Market Loans 29,500.0 68,900.0 66,900.0 53,500.0 149,973.0 191,420.0 191,420.0 183,750.0
2. Loans from LIC β β β β β β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development 7,500.0 β β 9,000.0 4,858.8 11,703.3 7,500.0 8,500.0
5. Loans from National Co-operative
Development Corporation 365.1 β β 200.0 β β β β
6. WMA from RBI 3,155.8 β β β β 20,000.0 β 20,000.0
7. Special Securities issued to NSSF 2,996.2 β β 2,960.0 6,490.7 10,000.0 10,000.0 β
8. Others@ 2,450.4 β β 3,500.0 β β β β
of which: Land Compensation and other Bonds β β β β β β β β
II. Loans and Advances from the Centre (1 to 6) 1,061.5 β 2,000.0 5,000.0 11,545.6 17,299.3 13,375.3 17,249.3
1. State Plan Schemes 1,061.5 β 2,000.0 5,000.0 11,587.1 17,189.3 13,265.3 17,189.3
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β -41.4 50.0 50.0 β
3. Centrally Sponsored Schemes β β β β β β β β
4. Non-Plan (i + ii) β β β β β 60.0 60.0 60.0
(i) Relief for Natural Calamities β β β β β 60.0 60.0 60.0
(ii) Others β β β β β β β β
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) 231.6 539.5 458.7 496.5 1,092.8 927.3 604.5 912.1
1. Housing β β β β 27.5 77.5 77.5 β
2. Urban Development β 30.0 25.5 27.6 β β β β
3. Crop Husbandry β β β β β β β β
4. Food Storage and Warehousing β β β β 9.9 β β β
5. Co-operation 0.7 β β β 19.7 β β β
6. Minor Irrigation β β β β 0.2 0.5 0.5 0.5
7. Power Projects β β β β 164.3 162.0 162.0 162.0
8. Village and Small Industries 0.5 15.0 12.8 13.8 2.9 12.2 0.7 1.1
9. Industries and Minerals β 24.5 20.9 22.6 175.8 134.0 142.5 95.5
10. Road Transport β β β β 0.1 β β β
11. Government Servants, etc.+ 221.4 250.0 212.5 230.0 40.5 52.2 52.1 46.7
12. Others** 9.0 220.0 187.0 202.4 652.1 488.9 169.1 606.3
IV. Inter-State Settlement β β β β β β β β
V. Contingency Fund 1,500.0 1,500.0 1,500.0 1,500.0 β 50.0 50.0 50.0
VI. State Provident Funds, etc. (1 + 2) 7,602.0 7,097.0 7,982.1 8,221.6 45,081.2 43,003.7 43,003.7 47,801.0
1. State Provident Funds 7,526.4 7,003.7 7,902.7 8,139.8 25,576.4 24,849.0 24,849.0 27,830.9
2. Others 75.6 93.2 79.4 81.8 19,504.8 18,154.6 18,154.6 19,970.1
VII. Reserve Funds (1 to 4) 2,931.9 3,825.2 3,428.4 3,370.8 20,323.9 17,891.5 17,891.5 19,680.4
1. Depreciation/Renewal Reserve Funds β β β β 0.2 0.2 0.2 β
2. Sinking Funds β 350.0 350.0 200.0 β β β β
3. Famine Relief Fund β β β β β β β β
4. Others 2,931.9 3,475.2 3,078.4 3,170.8 20,323.7 17,891.3 17,891.3 19,680.4
VIII. Deposits and Advances (1 to 4) 72,038.4 107,387.9 75,640.3 77,909.5 343,029.8 333,978.1 333,978.1 367,375.9
1. Civil Deposits 13,719.0 22,390.4 14,405.0 14,837.1 66,732.8 60,489.9 60,489.9 66,538.9
2. Deposits of Local Funds 26,139.4 39,351.3 27,446.3 28,269.7 211,944.3 213,240.4 213,240.4 234,564.5
3. Civil Advances 1,194.7 1,799.3 1,254.4 1,292.0 2.4 25.9 25.9 28.5
4. Others 30,985.3 43,847.0 32,534.6 33,510.6 64,350.2 60,221.9 60,221.9 66,244.0
IX. Suspense and Miscellaneous (1 to 4) 322,022.6 257,356.1 338,123.7 348,267.4 2,171,950.2 2,196,870.0 2,196,870.0 2,421,557.1
1. Suspense -587.73 2,975.1 -617.1 -635.6 4,729.4 2,694.4 2694.4 2963.9
2. Cash Balance Investment Accounts 320,507.5 252,712.2 336,532.8 346,628.8 1,373,396.6 1,467,960.2 1,467,960.2 1,614,756.3
3. Deposits with RBI β β β β β β β β
4. Others 2,102.9 1,668.9 2,208.0 2,274.2 793,824.2 726,215.3 726,215.3 803,836.9
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts β β β β 879.4 750.0 750.0 750.0
of which: Disinvestment β β β β β β β β
XII. Remittances 60,768.1 57,583.8 63,808.6 65,722.9 271.6 4,987.2 4,987.2 5,485.9
238Appendix III
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
KERALA MADHYA PRADESH
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 1,901,058.3 1,877,200.0 1,918,261.3 2,046,353.6 2,875,194.0 3,078,105.8 2,258,637.7 2,407,760.9
TOTAL CAPITAL RECEIPTS 176,709.3 178,835.7 193,489.0 218,678.4 115,435.8 178,346.6 169,430.0 197,212.9
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 140,691.7 267,733.1 267,733.1 300,052.7 83,283.8 172,962.7 135,342.9 203,207.1
1. Market Loans 128,000.0 141,873.0 145,703.0 176,322.6 50,000.0 103,462.9 103,462.9 130,000.0
2. Loans from LIC β 3,430.0 β β β β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development 5,012.5 5,250.0 5,250.0 6,000.0 12,500.0 12,500.0 15,000.0 15,000.0
5. Loans from National Co-operative
Development Corporation 840.0 530.0 530.0 630.0 819.8 500.0 500.0 900.0
6. WMA from RBI 1,189.3 110,250.0 110,250.0 110,250.0 β 40,000.0 100.0 40,000.0
7. Special Securities issued to NSSF 5,651.4 6,000.0 6,000.0 6,000.0 19,964.0 16,000.0 16,000.0 17,000.0
8. Others@ -1.5 400.1 0.1 850.1 β 499.8 280.0 307.1
of which: Land Compensation and other Bonds -1.5 0.1 0.1 0.1 β β β β
II. Loans and Advances from the Centre (1 to 6) 3,920.2 11,409.1 11,409.1 14,822.0 12,124.4 26,567.1 26,567.1 20,800.0
1. State Plan Schemes 3,920.2 11,395.9 11,395.9 14,807.8 12,124.4 26,567.1 26,567.1 20,800.0
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β β β β β
3. Centrally Sponsored Schemes β 12.2 12.2 12.2 β β β β
4. Non-Plan (i + ii) β 1.0 1.0 2.0 β β β β
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others β 1.0 1.0 2.0 β β β β
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) 1,037.5 1,481.6 1,679.6 1,723.0 932.2 1,223.5 274.1 308.4
1. Housing 0.4 0.9 0.8 0.9 β β β β
2. Urban Development 42.4 19.6 47.9 50.1 718.1 924.4 103.9 138.1
3. Crop Husbandry -1.6 1.2 1.0 1.1 1.1 1.6 1.6 1.7
4. Food Storage and Warehousing 29.2 27.4 35.9 39.1 62.3 4.0 4.6 4.6
5. Co-operation 62.9 225.1 249.6 264.5 119.7 129.4 128.9 128.7
6. Minor Irrigation β β β β β β β β
7. Power Projects β β β β β β β β
8. Village and Small Industries 94.6 122.1 159.7 169.2 2.0 0.9 2.0 2.0
9. Industries and Minerals 21.5 162.0 182.2 192.9 5.7 β β β
10. Road Transport β β β β β β β β
11. Government Servants, etc.+ 598.7 718.5 765.7 757.1 1.3 28.7 1.9 2.1
12. Others** 189.3 204.6 237.0 248.1 22.1 134.6 31.2 31.2
IV. Inter-State Settlement β β β β 24.4 β β β
V. Contingency Fund β 10.0 10.0 10.0 β 2,000.0 5,000.0 5,000.0
VI. State Provident Funds, etc. (1 + 2) $ 294,725.5 254,990.2 288,115.6 293,567.8 27,840.3 25,456.8 26,653.3 27,984.6
1. State Provident Funds 54,477.4 52,255.1 55,585.0 57,590.0 24,522.1 24,150.0 24,150.0 25,360.0
2. Others 240,248.1 202,735.2 232,530.7 235,977.9 3,318.2 1,306.8 2,503.3 2,624.6
VII. Reserve Funds (1 to 4) 4,945.4 1,680.1 3,860.2 2,983.2 16,120.1 21,511.5 22,128.8 17,708.4
1. Depreciation/Renewal Reserve Funds β β β β 2.0 β β β
2. Sinking Funds 2,190.6 β 2,178.1 1,055.5 β β β β
3. Famine Relief Fund β β β β 1.4 1.0 1.0 1.1
4. Others 2,754.8 1,680.1 1,682.1 1,927.7 16,116.6 21,510.5 22,127.8 17,707.3
VIII. Deposits and Advances (1 to 4) 98,656.3 110,189.4 113,055.1 115,537.0 103,688.5 164,228.8 176,658.8 172,228.5
1. Civil Deposits 36,549.0 36,579.1 37,793.5 38,664.3 47,144.1 56,443.2 66,443.2 35,175.0
2. Deposits of Local Funds 61,398.7 73,004.1 74,343.7 75,972.0 160.8 48.7 48.7 51.1
3. Civil Advances 2.5 1.0 1.0 1.0 6,036.6 4,008.9 6,504.0 6,829.0
4. Others 706.1 605.3 916.9 899.7 50,346.9 103,728.0 103,662.9 130,173.4
IX. Suspense and Miscellaneous (1 to 4) 1,267,663.9 1,122,242.6 1,137,335.2 1,222,267.1 2,474,798.8 2,527,523.9 1,729,381.2 1,817,060.8
1. Suspense 189148.99 144,152.0 195,160.3 195,160.3 411.7 7,280.1 -331.0 1050.0
2. Cash Balance Investment Accounts 510,332.4 432,000.0 360,000.0 432,000.0 1,342,965.0 1,945,238.8 916,850.0 962,482.5
3. Deposits with RBI β β β β 485,985.0 5,000.0 82,687.2 86,821.6
4. Others 568,182.5 546,090.6 582,174.9 595,106.8 645,437.0 570,005.0 730,175.0 766,706.7
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts 191.9 250.3 250.2 260.2 359.7 β β β
of which: Disinvestment β β β β β β β β
XII. Remittances 89,226.0 107,213.5 94,813.2 95,130.7 156,021.7 136,631.5 136,631.5 143,463.1
239State Finances : A Study of Budgets of 2015-16
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
MAHARASHTRA MANIPUR
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 5,054,627.0 4,641,371.2 4,322,233.5 4,858,599.5 165,254.5 230,348.0 233,325.0 236,006.1
TOTAL CAPITAL RECEIPTS 327,749.6 398,585.8 456,603.2 446,026.9 4,758.9 6,018.2 6,877.9 9,888.4
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 269,226.6 310,483.0 360,493.0 345,067.0 6,572.0 6,947.1 7,290.8 10,059.4
1. Market Loans 235,999.9 250,833.0 250,843.0 267,413.0 3,500.0 6,569.8 6,913.5 9,682.1
2. Loans from LIC β β β β β β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development 6,654.0 10,000.0 10,000.0 10,000.0 198.3 277.3 277.3 277.3
5. Loans from National Co-operative
Development Corporation 782.0 β β β β β β β
6. WMA from RBI 11,523.3 30,000.0 30,000.0 30,000.0 2,745.1 β β β
7. Special Securities issued to NSSF 14,249.1 19,650.0 19,650.0 19,650.0 128.5 β β β
8. Others@ 18.3 β 50,000.0 18,004.0 β 100.0 100.0 100.0
of which: Land Compensation and other Bonds 7.9 β β β β β β β
II. Loans and Advances from the Centre (1 to 6) 9,644.7 27,225.0 30,730.0 45,449.5 β β β β
1. State Plan Schemes 9,644.7 27,200.0 27,200.0 27,200.0 β β β β
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β β β β β
3. Centrally Sponsored Schemes β β β β β β β β
4. Non-Plan (i + ii) β 25.0 3,530.0 18,249.5 β β β β
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others β 25.0 3,530.0 18,249.5 β β β β
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) 7,280.3 10,358.2 10,349.0 10,984.5 12.3 37.0 38.0 38.0
1. Housing 727.1 949.0 949.0 996.5 β 0.1 β β
2. Urban Development 115.9 95.2 80.5 108.4 β β β β
3. Crop Husbandry 21.7 0.8 0.8 0.8 β β β β
4. Food Storage and Warehousing β β β β β β β β
5. Co-operation 1,176.3 1,329.1 1,329.1 1,395.5 0.5 0.7 0.7 0.7
6. Minor Irrigation 0.1 0.1 0.1 0.1 β β β β
7. Power Projects 2,154.0 4,039.2 4,039.2 4,241.2 β β β β
8. Village and Small Industries 31.7 21.6 21.7 22.7 β β 0.1 0.1
9. Industries and Minerals 27.2 104.1 104.1 109.3 β β β β
10. Road Transport β β β β β β β β
11. Government Servants, etc.+ 2,383.7 2,770.5 2,770.5 3,019.5 11.8 11.0 12.0 12.0
12. Others** 642.7 1,048.6 1,054.2 1,090.5 β 25.2 25.2 25.2
IV. Inter-State Settlement β β β β β β β β
V. Contingency Fund 8,596.2 β β β β β β β
VI. State Provident Funds, etc. (1 + 2) 48,684.5 58,613.7 60,151.7 56,329.8 2,822.4 2,020.7 2,020.7 2,521.0
1. State Provident Funds 44,729.4 53,405.3 55,117.3 50,711.2 2,801.7 2,000.0 2,000.0 2,500.0
2. Others 3,955.1 5,208.3 5,034.4 5,618.6 20.7 20.7 20.7 21.0
VII. Reserve Funds (1 to 4) 55,400.3 27,357.2 35,438.3 37,007.7 484.5 437.2 469.5 381.7
1. Depreciation/Renewal Reserve Funds β 0.5 0.5 0.5 β β β β
2. Sinking Funds 31,226.3 18,900.0 18,900.0 22,200.0 365.4 253.7 253.7 274.0
3. Famine Relief Fund β β β β β β β β
4. Others 24,174.0 8,456.7 16,537.8 14,807.2 119.1 183.5 215.8 107.7
VIII. Deposits and Advances (1 to 4) 323,472.3 283,336.1 303,653.2 321,372.1 8,533.0 6,900.0 7,000.0 7,000.0
1. Civil Deposits 304,042.6 270,765.3 292,031.2 307,060.9 3,966.7 3,500.0 3,000.0 3,000.0
2. Deposits of Local Funds -9.9 β β β β β β β
3. Civil Advances 4,853.1 4,332.2 4,332.2 5,096.3 245.4 200.0 200.0 200.0
4. Others 14,586.4 8,238.6 7,289.8 9,214.9 4,320.9 3,200.0 3,800.0 3,800.0
IX. Suspense and Miscellaneous (1 to 4) 4,079,241.3 3,653,892.0 3,344,240.1 3,856,352.0 121,250.1 189,506.0 192,006.0 192,006.0
1. Suspense 593.33 444.2 635.0 666.7 1,370.0 700.0 700.0 700.0
2. Cash Balance Investment Accounts 4,105,761.9 3,609,347.8 3,100,000.0 3,600,000.0 118,989.4 188,200.0 190,700.0 190,700.0
3. Deposits with RBI β β β β β β β β
4. Others -27,114.0 44,100.0 243,605.1 255,685.4 890.7 606.0 606.0 606.0
X. Appropriation to Contingency Fund 13,500.0 β β β β β β β
XI. Miscellaneous Capital Receipts β β β β β β β β
of which: Disinvestment β β β β β β β β
XII. Remittances 239,580.8 270,106.0 177,178.2 186,036.8 25,580.1 24,500.0 24,500.0 24,000.0
240Appendix III
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
MEGHALAYA MIZORAM
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 185,562.8 200,853.9 201,286.2 212,807.3 90,634.0 258,660.6 267,720.2 260,083.6
TOTAL CAPITAL RECEIPTS 13,929.5 7,714.3 11,126.2 10,686.4 11,564.3 5,361.2 4,752.1 7,130.9
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 6,324.3 6,993.4 6,993.4 9,853.3 11,230.5 4,560.7 13,781.9 3,692.2
1. Market Loans 3,400.0 4,947.2 4,947.2 7,473.3 2,600.6 2,810.7 2,300.4 2,500.0
2. Loans from LIC β β β β β β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development 516.5 785.0 785.0 850.0 507.9 544.0 281.1 595.0
5. Loans from National Co-operative
Development Corporation β 32.3 32.3 30.0 7.9 56.0 82.4 56.7
6. WMA from RBI 1,570.9 405.0 405.0 1,500.0 7,345.3 1,000.0 10,668.7 300.0
7. Special Securities issued to NSSF 836.8 823.9 823.9 β 148.8 150.0 303.1 β
8. Others@ β β β β 620.1 β 146.2 240.5
of which: Land Compensation and other Bonds β β β β β β β β
II. Loans and Advances from the Centre (1 to 6) 0.8 130.5 130.5 126.5 1.6 210.5 48.9 206.7
1. State Plan Schemes 0.8 128.0 128.0 124.0 1.6 210.5 48.9 206.7
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β β β β β
3. Centrally Sponsored Schemes β β β β β β β β
4. Non-Plan (i + ii) β 2.5 2.5 2.5 β β β β
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others β 2.5 2.5 2.5 β β β β
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) 204.8 282.2 282.2 310.4 331.1 400.0 400.0 400.0
1. Housing 0.8 1.4 1.4 1.6 172.9 227.0 227.0 227.0
2. Urban Development β 0.3 0.3 0.3 β 0.1 0.1 0.1
3. Crop Husbandry β β β β β β β β
4. Food Storage and Warehousing β β β β β β β β
5. Co-operation 0.6 1.0 1.0 1.0 3.9 1.0 1.0 1.0
6. Minor Irrigation β β β β β β β β
7. Power Projects β β β β β β β β
8. Village and Small Industries β β β β β 0.1 0.1 0.1
9. Industries and Minerals β 0.2 0.2 0.2 β β β β
10. Road Transport β β β β β β β β
11. Government Servants, etc.+ 203.4 279.3 279.3 307.3 154.1 171.6 171.6 171.6
12. Others** β β β β 0.1 0.2 0.2 0.2
IV. Inter-State Settlement β β β β β β β β
V. Contingency Fund 1,050.0 1,050.0 1,050.0 1,050.0 β β β β
VI. State Provident Funds, etc. (1 + 2) 2,380.4 3,085.0 2,835.0 3,051.5 6,552.0 3,370.0 3,370.0 5,612.0
1. State Provident Funds 2,380.4 3,085.0 2,835.0 3,051.5 6,479.3 3,300.0 3,300.0 5,542.0
2. Others β β β β 72.8 70.0 70.0 70.0
VII. Reserve Funds (1 to 4) 397.6 438.3 438.3 533.8 325.8 319.2 319.2 372.5
1. Depreciation/Renewal Reserve Funds β β β β β β β β
2. Sinking Funds 224.0 250.2 250.2 313.8 209.0 229.2 229.2 282.5
3. Famine Relief Fund β β β β β β β β
4. Others 173.6 188.1 188.1 220.0 116.8 90.0 90.0 90.0
VIII. Deposits and Advances (1 to 4) 19,369.5 4,777.5 5,394.0 8,418.9 11,062.0 7,200.0 7,200.0 7,200.0
1. Civil Deposits 18,216.8 4,105.5 4,522.0 7,213.9 10,716.4 7,000.0 7,000.0 7,000.0
2. Deposits of Local Funds β β β β β β β β
3. Civil Advances 1,075.9 672.0 872.0 1,124.4 245.3 200.0 200.0 200.0
4. Others 76.8 β β 80.6 100.3 β β β
IX. Suspense and Miscellaneous (1 to 4) 133,119.5 161,002.2 161,002.2 165,438.4 45,949.4 227,600.1 227,600.1 227,600.1
1. Suspense -803.56 257.9 257.9 42.1 1,233.3 2,500.0 2500.0 2500.0
2. Cash Balance Investment Accounts 133,853.5 160,725.0 160,725.0 165,322.3 44,509.7 15,000.0 15,000.0 15,000.0
3. Deposits with RBI β β β β β 210,000.0 210,000.0 210,000.0
4. Others 69.6 19.4 19.4 73.9 206.3 100.1 100.1 100.1
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts β β β β β β β β
of which: Disinvestment β β β β β β β β
XII. Remittances 22,715.9 23,094.7 23,160.5 24,024.5 15,181.5 15,000.1 15,000.1 15,000.1
241State Finances : A Study of Budgets of 2015-16
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
NAGALAND ODISHA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 106,346.5 109,393.3 111,995.0 117,105.9 1,448,425.0 1,443,412.5 1,442,607.9 1,688,129.2
TOTAL CAPITAL RECEIPTS 9,509.1 -352.6 8,498.4 3,819.4 38,200.9 81,288.5 76,144.8 182,500.6
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 19,764.1 25,760.6 25,329.2 31,374.4 17,396.6 85,767.2 94,918.6 103,663.8
1. Market Loans 5,350.0 5,579.3 5,300.0 10,109.4 β 60,897.2 55,748.6 73,563.8
2. Loans from LIC β β β β β β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development 545.8 500.0 317.3 700.0 10,019.4 21,770.0 21,770.0 27,000.0
5. Loans from National Co-operative
Development Corporation 43.5 60.0 50.0 15.0 46.8 β β β
6. WMA from RBI 13,572.5 20,000.0 13,736.6 20,000.0 β β 14,300.0 β
7. Special Securities issued to NSSF 31.4 100.0 100.0 250.0 7,330.3 3,000.0 3,000.0 3,000.0
8. Others@ 220.9 -478.7 5,825.3 300.0 β 100.0 100.0 100.0
of which: Land Compensation and other Bonds β β β β β β β β
II. Loans and Advances from the Centre (1 to 6) β 111.1 40.0 105.1 5,506.0 21,190.0 21,190.0 16,340.0
1. State Plan Schemes β β β β 5,460.8 21,190.0 21,190.0 16,340.0
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β β β β β
3. Centrally Sponsored Schemes β β β β β β β β
4. Non-Plan (i + ii) β 111.1 40.0 105.1 12.8 β β β
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others β 111.1 40.0 105.1 12.8 β β β
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β 32.4 β β β
III. Recovery of Loans and Advances (1 to 12) 10.1 24.5 18.7 19.4 2,571.8 2,402.9 2,403.0 2,402.9
1. Housing 0.2 3.0 0.1 β 16.3 0.8 0.8 0.8
2. Urban Development β β β β 1.0 5.6 5.6 5.1
3. Crop Husbandry β β β β β β β 0.1
4. Food Storage and Warehousing β β β β β 0.1 0.1 0.1
5. Co-operation 2.2 10.5 10.5 11.5 61.9 3.5 2.1 0.6
6. Minor Irrigation β β β β 0.8 0.5 0.5 0.5
7. Power Projects β β β β 2.1 1,103.0 1,103.0 1,103.0
8. Village and Small Industries β 1.0 0.1 0.1 190.1 0.4 0.4 10.4
9. Industries and Minerals β β β β 87.3 0.7 0.7 0.7
10. Road Transport β β β β β β β β
11. Government Servants, etc.+ 7.7 10.0 8.0 7.8 573.3 1,081.3 1,081.3 1,220.0
12. Others** β β β β 1,639.1 207.0 208.6 61.8
IV. Inter-State Settlement β β β β β β β β
V. Contingency Fund β β β β β 4,000.0 4,000.0 4,000.0
VI. State Provident Funds, etc. (1 + 2) 2,873.7 2,086.1 2,846.0 2,596.0 33,323.3 32,504.6 32,504.6 34,009.6
1. State Provident Funds 2,827.9 2,050.0 2,800.0 2,550.0 33,321.6 32,502.5 32,502.5 34,005.5
2. Others 45.8 36.1 46.0 46.0 1.7 2.1 2.1 4.1
VII. Reserve Funds (1 to 4) 542.2 660.0 660.0 2,250.0 17,604.7 29,831.4 19,882.2 23,366.2
1. Depreciation/Renewal Reserve Funds β β β β β β β β
2. Sinking Funds 116.6 400.0 400.0 1,990.0 β 10,000.0 β 10,000.1
3. Famine Relief Fund β β β β β β β 0.1
4. Others 425.6 260.0 260.0 260.0 17,604.7 19,831.4 19,882.2 13,366.0
VIII. Deposits and Advances (1 to 4) 9,344.5 250.0 2,600.0 260.0 70,188.1 123,430.4 123,428.4 108,463.4
1. Civil Deposits 8,942.0 100.0 2,450.0 100.0 49,248.4 47,376.4 47,376.4 35,920.1
2. Deposits of Local Funds β β β β 15,764.8 12,236.2 12,234.2 16,234.4
3. Civil Advances 184.8 100.0 100.0 100.0 2,278.3 1,505.3 1,505.3 2,505.3
4. Others 217.7 50.0 50.0 60.0 2,896.6 62,312.5 62,312.5 53,803.6
IX. Suspense and Miscellaneous (1 to 4) 55,402.2 65,500.0 65,500.0 65,500.0 1,198,423.2 1,126,329.8 1,126,325.0 1,306,174.3
1. Suspense 130.57 500.0 500.0 500.0 1229.1 226.3 226.3 40.8
2. Cash Balance Investment Accounts 50,610.8 60,000.0 60,000.0 60,000.0 1,096,112.3 1,124,849.8 1,124,845.0 1,204,519.8
3. Deposits with RBI β β β β β β β 0.1
4. Others 4,660.8 5,000.0 5,000.0 5,000.0 101,081.9 1,253.7 1,253.7 101,613.6
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts β β β β 0.3 β β β
of which: Disinvestment β β β β 0.3 β β β
XII. Remittances 18,409.7 15,001.0 15,001.0 15,001.0 103,411.0 17,956.1 17,956.1 89,709.0
242Appendix III
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
PUNJAB RAJASTHAN
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 699,324.5 1,618,382.7 734,148.9 754,134.6 2,388,063.7 3,035,091.1 3,222,173.3 3,252,107.4
TOTAL CAPITAL RECEIPTS 129,303.0 137,590.0 136,845.3 155,332.7 165,495.5 221,513.3 224,157.9 263,957.7
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 237,625.2 262,520.0 290,750.0 310,350.0 142,327.1 171,385.1 172,252.8 196,980.1
1. Market Loans 90,000.0 100,000.0 89,500.0 120,500.0 87,999.8 134,149.2 130,000.0 148,886.6
2. Loans from LIC β β β β β β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development 4,950.0 5,000.0 4,000.0 6,850.0 15,490.8 19,000.0 19,000.0 20,900.0
5. Loans from National Co-operative
Development Corporation β β β β 476.5 175.9 175.9 193.5
6. WMA from RBI 134,675.3 150,000.0 185,000.0 175,000.0 β β β β
7. Special Securities issued to NSSF 8,000.0 7,520.0 12,250.0 8,000.0 4,959.9 β β β
8. Others@ β β β β 33,400.0 18,060.0 23,076.9 27,000.0
of which: Land Compensation and other Bonds β β β β β 18,060.0 23,060.0 27,000.0
II. Loans and Advances from the Centre (1 to 6) 3,779.6 3,961.4 6,600.0 7,300.0 2,587.3 18,906.6 11,861.1 24,589.9
1. State Plan Schemes 3,779.6 3,961.4 6,600.0 7,300.0 3,854.1 18,906.6 11,861.1 24,589.9
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β -4.0 β β β
3. Centrally Sponsored Schemes β β β β -1,262.8 β β β
4. Non-Plan (i + ii) β β β β β β β β
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others β β β β β β β β
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) 1,123.0 2,100.4 1,183.9 911.2 3,155.3 1,514.3 10,206.6 9,035.4
1. Housing 0.4 0.4 0.4 0.4 54.5 9.3 1,000.0 2,000.0
2. Urban Development 0.7 β β β 62.9 43.8 341.3 2,124.0
3. Crop Husbandry 8.4 β β β 499.1 446.6 256.3 289.5
4. Food Storage and Warehousing β β β β 17.0 15.9 β β
5. Co-operation 345.8 β 445.6 157.7 913.8 217.8 503.1 548.6
6. Minor Irrigation β β β β 44.9 β β β
7. Power Projects 56.8 β β β 566.1 566.1 β 3,640.9
8. Village and Small Industries β β β β 0.7 β β β
9. Industries and Minerals 1.2 β β β 27.4 26.7 61.3 41.3
10. Road Transport β β β β β β β β
11. Government Servants, etc.+ 708.8 2,100.0 736.9 752.1 2.0 2.0 1.0 0.5
12. Others** 0.8 0.1 1.0 1.0 966.9 186.1 8,043.5 390.5
IV. Inter-State Settlement β β β β β β β β
V. Contingency Fund β β β β β β 3,000.0 β
VI. State Provident Funds, etc. (1 + 2) 33,409.6 36,743.6 42,278.0 40,613.0 63,114.9 65,118.5 69,386.8 73,617.9
1. State Provident Funds 32,866.3 36,146.0 37,074.6 35,008.2 38,393.3 38,706.8 41,930.0 43,390.5
2. Others 543.3 597.6 5,203.4 5,604.7 24,721.6 26,411.6 27,456.8 30,227.4
VII. Reserve Funds (1 to 4) 5,768.1 12,988.1 6,449.6 7,880.0 25,815.9 24,660.2 41,446.7 40,833.2
1. Depreciation/Renewal Reserve Funds 76.4 76.4 70.0 70.0 β β β β
2. Sinking Funds β 500.0 β β β β β β
3. Famine Relief Fund β β β β β β β β
4. Others 5,691.7 12,411.6 6,379.6 7,810.0 25,815.9 24,660.2 41,446.7 40,833.2
VIII. Deposits and Advances (1 to 4) 38,601.2 38,601.2 11,886.3 11,886.3 894,360.0 1,635,795.1 1,609,578.4 1,639,610.0
1. Civil Deposits 31,765.2 31,765.2 6,200.0 6,200.0 162,325.8 169,425.2 169,418.7 169,418.7
2. Deposits of Local Funds 0.3 0.3 0.3 0.3 636,221.6 1,325,106.9 1,327,580.0 1,327,580.0
3. Civil Advances 20.6 20.6 β β 92.5 350.7 50.7 50.7
4. Others 6,815.1 6,815.1 5,686.0 5,686.0 95,720.1 140,912.4 112,529.0 142,560.6
IX. Suspense and Miscellaneous (1 to 4) 379,401.3 1,261,856.6 374,275.9 374,468.9 1,157,526.5 1,028,240.9 1,194,970.6 1,157,970.6
1. Suspense 7818.90 7,818.9 139,820.0 139,820.0 906.5 1,316.2 1316.3 1316.3
2. Cash Balance Investment Accounts 88,913.5 88,913.5 666.1 859.1 1,156,568.2 1,026,838.6 1,193,568.2 1,156,568.2
3. Deposits with RBI β 882,455.3 β β β β β β
4. Others 282,668.9 282,668.9 233,789.8 233,789.8 51.8 86.1 86.1 86.1
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts 5.1 β β β 102.7 80.0 80.0 80.0
of which: Disinvestment β β β β 102.7 80.0 80.0 80.0
XII. Remittances -388.6 -388.6 725.2 725.2 99,074.0 89,390.4 109,390.4 109,390.4
243State Finances : A Study of Budgets of 2015-16
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
SIKKIM TAMIL NADU
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 74,410.5 61,518.3 62,772.2 77,841.3 4,409,194.2 2,970,642.7 3,903,030.9 3,603,374.3
TOTAL CAPITAL RECEIPTS 3,478.4 4,589.6 5,063.4 7,237.9 236,883.5 315,327.7 320,788.2 375,966.3
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 2,940.1 4,419.6 4,419.6 6,943.8 228,032.2 292,783.8 302,733.3 340,506.6
1. Market Loans 2,150.0 3,319.6 3,319.6 6,102.8 207,491.5 248,408.2 267,873.8 301,800.0
2. Loans from LIC 100.0 100.0 100.0 100.0 β β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development 470.0 800.0 800.0 500.0 14,107.9 16,230.0 16,240.0 17,120.0
5. Loans from National Co-operative
Development Corporation β β β 41.0 1,210.0 1,500.0 1,357.5 1,529.4
6. WMA from RBI β β β β β β β β
7. Special Securities issued to NSSF 212.1 200.0 200.0 200.0 5,180.3 6,583.6 7,200.0 β
8. Others@ 8.0 β β β 42.6 20,062.0 10,062.0 20,057.2
of which: Land Compensation and other Bonds β β β β β 20,000.0 10,000.0 20,000.0
II. Loans and Advances from the Centre (1 to 6) 23.1 145.0 145.0 63.1 20,113.4 17,221.3 18,183.8 25,195.5
1. State Plan Schemes 20.2 145.0 145.0 62.4 20,113.4 16,621.3 17,931.9 25,075.5
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β β β β β
3. Centrally Sponsored Schemes β β β β β β β β
4. Non-Plan (i + ii) 2.8 β β 0.7 β 600.0 252.0 120.0
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others 2.8 β β 0.7 β 600.0 252.0 120.0
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) 9.2 7.8 7.8 7.8 6,199.7 2,042.7 3,382.4 3,005.1
1. Housing β β β β 0.1 β β β
2. Urban Development β β β β 430.3 179.4 177.5 188.9
3. Crop Husbandry β β β β 1,194.4 β β β
4. Food Storage and Warehousing β β β β -6.9 β β β
5. Co-operation 7.5 7.5 7.5 7.5 176.7 84.8 85.5 58.6
6. Minor Irrigation β β β β β β β β
7. Power Projects β β β β 232.3 158.0 158.0 148.4
8. Village and Small Industries β β β β 88.7 1.2 37.9 3.7
9. Industries and Minerals β β β β 57.4 0.1 28.3 0.3
10. Road Transport β β β β 576.8 β β β
11. Government Servants, etc.+ 1.7 β β β 1,425.1 1,349.5 1,525.0 1,568.5
12. Others** β 0.3 0.3 0.3 2,024.8 269.6 1,370.2 1,036.7
IV. Inter-State Settlement β β β β β β β β
V. Contingency Fund β 10.0 10.0 β β β β β
VI. State Provident Funds, etc. (1 + 2) 2,425.4 2,137.9 2,530.6 2,635.1 64,851.4 67,137.2 64,596.7 70,137.8
1. State Provident Funds 2,387.9 2,080.0 2,480.0 2,584.5 63,728.8 66,042.3 63,504.5 69,045.6
2. Others 37.6 57.9 50.6 50.6 1,122.6 1,094.9 1,092.2 1,092.2
VII. Reserve Funds (1 to 4) 2,291.5 1,106.7 1,967.9 1,180.0 45,354.5 50,349.1 39,169.1 38,040.2
1. Depreciation/Renewal Reserve Funds β β β β 13.6 5.2 6.1 6.1
2. Sinking Funds 272.3 120.0 395.2 120.0 3,056.9 4,857.6 6,517.2 3,594.6
3. Famine Relief Fund β β β β β β β β
4. Others 2,019.3 986.7 1,572.7 1,060.0 42,283.9 45,486.3 32,645.8 34,439.5
VIII. Deposits and Advances (1 to 4) 889.0 1,058.0 1,058.0 8,979.2 340,602.6 517,484.6 558,137.5 797,816.0
1. Civil Deposits 594.2 688.0 688.0 8,454.2 239,124.7 203,601.5 270,625.5 265,988.1
2. Deposits of Local Funds β β β β 23,099.3 17,914.3 25,249.9 25,249.9
3. Civil Advances β β β β 1,050.9 343.3 1,034.4 1,035.2
4. Others 294.7 370.0 370.0 525.0 77,327.7 295,625.5 261,227.7 505,542.8
IX. Suspense and Miscellaneous (1 to 4) 50,363.4 40,272.4 40,272.4 42,563.4 3,654,771.9 1,981,842.8 2,864,718.6 2,276,563.5
1. Suspense 12.50 25.5 25.5 12.6 53,448.7 -48,271.2 -55628.8 -55628.8
2. Cash Balance Investment Accounts 24,200.0 16,400.0 16,400.0 16,400.0 2,621,423.4 1,089,766.6 1,862,070.5 1,221,002.8
3. Deposits with RBI β β β β β β β β
4. Others 26,150.9 23,846.8 23,846.8 26,150.9 979,899.8 940,347.4 1,058,276.9 1,111,189.6
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts β β β β β β β β
of which: Disinvestment β β β β β β β β
XII. Remittances 15,468.8 12,361.1 12,361.1 15,468.8 49,268.5 41,781.2 52,109.6 52,109.6
244Appendix III
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
TELANGANA TRIPURA
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) β 473,200.6 473,200.6 549,119.9 519,553.4 555,113.6 358,556.3 491,887.2
TOTAL CAPITAL RECEIPTS β 198,731.5 198,731.5 209,245.6 12,479.0 12,709.3 12,666.9 17,525.5
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) β 138,800.0 138,800.0 188,300.0 7,832.5 9,000.0 8,850.0 11,800.0
1. Market Loans β 127,000.0 127,000.0 167,000.0 5,500.3 6,500.0 6,250.0 9,100.0
2. Loans from LIC β β β β β β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development β 5,500.0 5,500.0 15,000.0 1,500.0 2,000.0 2,100.0 2,100.0
5. Loans from National Co-operative
Development Corporation β β β β 88.2 β β β
6. WMA from RBI β 6,300.0 6,300.0 6,300.0 β β β β
7. Special Securities issued to NSSF β β β β 744.1 500.0 500.0 600.0
8. Others@ β β β β β β β β
of which: Land Compensation and other Bonds β β β β β β β β
II. Loans and Advances from the Centre (1 to 6) β 18,332.0 18,332.0 8,000.0 37.3 30.0 30.0 30.0
1. State Plan Schemes β 18,332.0 18,332.0 8,000.0 37.3 30.0 30.0 30.0
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β β β β β
3. Centrally Sponsored Schemes β β β β β β β β
4. Non-Plan (i + ii) β β β β β β β β
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others β β β β β β β β
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) β 745.6 745.6 8,745.6 9.6 20.0 20.0 20.0
1. Housing β 5.2 5.2 5.2 0.9 β β β
2. Urban Development β 0.3 0.3 8,000.3 β β β β
3. Crop Husbandry β 9.8 9.8 9.8 β β β β
4. Food Storage and Warehousing β β β β β β β β
5. Co-operation β 8.7 8.7 8.7 0.2 β β β
6. Minor Irrigation β β β β β β β β
7. Power Projects β 175.5 175.5 175.5 β β β β
8. Village and Small Industries β 24.8 24.8 24.8 β β β β
9. Industries and Minerals β 25.0 25.0 25.0 β β β β
10. Road Transport β β β β β β β β
11. Government Servants, etc.+ β 363.7 363.7 363.7 8.5 20.0 20.0 20.0
12. Others** β 132.6 132.6 132.6 β β β β
IV. Inter-State Settlement β β β β β β β β
V. Contingency Fund β β β β β β β β
VI. State Provident Funds, etc. (1 + 2) β 16,981.6 16,981.6 20,000.0 8,129.5 13,275.0 8,929.0 12,681.0
1. State Provident Funds β 13,233.2 13,233.2 16,698.0 7,966.2 13,050.0 8,760.0 12,510.0
2. Others β 3,748.4 3,748.4 3,302.0 163.3 225.0 169.0 171.0
VII. Reserve Funds (1 to 4) β 21,268.8 21,268.8 19,294.7 721.5 955.5 231.9 203.0
1. Depreciation/Renewal Reserve Funds β 6,622.8 6,622.8 7,285.1 β β β β
2. Sinking Funds β 6,782.5 6,782.5 7,460.7 500.0 500.0 β β
3. Famine Relief Fund β β β β β β β β
4. Others β 7,863.5 7,863.5 4,548.8 221.5 455.5 231.9 203.0
VIII. Deposits and Advances (1 to 4) β 277,072.6 277,072.6 304,779.6 2,943.7 7,130.6 2,561.1 2,772.7
1. Civil Deposits β 158,309.9 158,309.9 174,140.9 2,698.4 2,050.0 2,300.0 2,500.0
2. Deposits of Local Funds β 61,133.1 61,133.1 67,246.2 β 5,000.0 β β
3. Civil Advances β 705.6 705.6 776.1 244.3 79.0 260.0 271.5
4. Others β 56,924.0 56,924.0 62,616.4 1.0 1.6 1.1 1.2
IX. Suspense and Miscellaneous (1 to 4) β β β β 486,163.4 513,762.5 325,386.8 451,130.5
1. Suspense β β β β 800.6 1,290.0 820.0 870.0
2. Cash Balance Investment Accounts β β β β 485,105.9 512,220.7 324,305.6 450,000.0
3. Deposits with RBI β β β β β β β β
4. Others β β β β 256.9 251.8 261.2 260.5
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts β β β β β β β β
of which: Disinvestment β β β β β β β β
XII. Remittances β β β β 13,715.8 10,940.0 12,547.5 13,250.0
245State Finances : A Study of Budgets of 2015-16
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
UTTRAKHAND UTTAR PRADESH
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 525,135.8 216,137.7 207,098.8 233,277.2 9,531,381.7 3,785,186.3 4,248,648.6 4,641,161.6
TOTAL CAPITAL RECEIPTS 46,905.8 49,507.0 46,007.0 59,323.9 213,552.5 327,238.9 425,682.3 474,732.3
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 40,035.2 52,550.0 52,550.0 64,050.0 145,105.5 431,629.4 336,635.4 459,796.2
1. Market Loans 25,000.0 30,000.0 30,000.0 39,000.0 80,000.0 209,878.1 209,878.1 233,984.4
2. Loans from LIC β β β β β β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development 5,450.0 6,500.0 6,500.0 8,000.0 13,425.9 20,000.0 15,000.0 20,000.0
5. Loans from National Co-operative
Development Corporation 25.3 50.0 50.0 50.0 287.5 50.0 56.0 110.5
6. WMA from RBI 1,653.1 8,000.0 8,000.0 8,000.0 80.7 100,000.0 10,000.0 100,000.0
7. Special Securities issued to NSSF 7,906.8 8,000.0 8,000.0 9,000.0 50,086.4 46,000.0 46,000.0 50,000.0
8. Others@ β β β β 1,225.0 55,701.3 55,701.3 55,701.3
of which: Land Compensation and other Bonds β β β β β β β β
II. Loans and Advances from the Centre (1 to 6) 349.6 500.0 500.0 900.0 3,899.0 5,000.0 5,000.0 6,000.0
1. State Plan Schemes 349.6 500.0 500.0 900.0 3,899.0 4,996.0 5,000.0 6,000.0
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β β β β β
3. Centrally Sponsored Schemes β β β β β β β β
4. Non-Plan (i + ii) β β β β β 4.0 β β
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others β β β β β 4.0 β β
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) 552.3 457.0 457.0 373.9 5,895.7 4,909.6 5,406.8 2,634.0
1. Housing β β β β β 200.0 200.0 β
2. Urban Development β β β β 9.3 40.0 40.0 β
3. Crop Husbandry 15.0 100.0 100.0 10.0 1.5 1.5 1.5 β
4. Food Storage and Warehousing β β β β 0.6 0.4 0.4 β
5. Co-operation 28.5 12.1 12.1 17.0 125.6 50.0 50.0 β
6. Minor Irrigation β β β β β β β β
7. Power Projects 472.6 302.6 302.6 310.0 4,222.5 1,183.2 2,180.3 β
8. Village and Small Industries 0.2 β β 0.2 41.7 20.0 20.0 β
9. Industries and Minerals β β β β 541.8 820.0 820.0 320.0
10. Road Transport β β β β β β β β
11. Government Servants, etc.+ 36.0 42.3 42.3 36.7 902.2 1,090.0 1,090.0 1,214.0
12. Others** β β β β 50.6 1,504.5 1,004.5 1,100.0
IV. Inter-State Settlement β β β β β β β β
V. Contingency Fund 4,120.0 2,500.0 2,500.0 2,000.0 2,623.2 2,759.8 2,723.5 2,000.0
VI. State Provident Funds, etc. (1 + 2) 13,131.7 12,269.7 6,809.4 9,870.7 96,599.1 151,483.4 151,483.4 160,370.0
1. State Provident Funds 12,825.1 12,038.4 6,599.1 9,627.8 94,872.6 146,213.4 146,213.4 155,100.0
2. Others 306.6 231.3 210.3 242.9 1,726.6 5,270.0 5,270.0 5,270.0
VII. Reserve Funds (1 to 4) 4,683.1 1,785.2 1,933.9 2,343.4 129,753.6 129,887.6 119,007.6 125,830.3
1. Depreciation/Renewal Reserve Funds β β β β 101.1 β β β
2. Sinking Funds β 1,542.2 1,602.0 2,088.2 83,642.5 76,989.4 65,989.4 75,682.5
3. Famine Relief Fund β β β β β β β β
4. Others 4,683.1 243.0 331.9 255.1 46,010.1 52,898.1 53,018.1 50,147.7
VIII. Deposits and Advances (1 to 4) 30,868.4 28,847.1 23,735.9 30,289.4 177,773.3 169,339.5 164,304.5 157,717.5
1. Civil Deposits 18,957.9 20,433.2 18,567.1 21,454.8 124,371.0 118,359.5 116,824.5 118,027.5
2. Deposits of Local Funds 10,570.3 7,203.9 3,468.8 7,564.1 42,468.7 45,500.0 42,000.0 32,350.0
3. Civil Advances 1,200.3 1,210.0 1,100.0 1,270.5 2,560.3 β β β
4. Others 140.0 β 600.0 β 8,373.3 5,480.0 5,480.0 7,340.0
IX. Suspense and Miscellaneous (1 to 4) 381,424.5 88,660.6 90,600.5 92,453.2 8,734,531.2 2,855,577.0 3,429,487.6 3,692,213.7
1. Suspense -3217.95 660.6 600.5 693.6 235858.5 9,125.0 9125.0 7595.5
2. Cash Balance Investment Accounts 218,510.1 β β β 2,387,121.3 2,200,000.0 2,604,032.5 2,864,435.8
3. Deposits with RBI β β β β 4,695,985.5 β β β
4. Others 166,132.3 88,000.0 90,000.0 91,759.7 1,415,565.9 646,452.0 816,330.1 820,182.4
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts 1,804.0 β β β β β β β
of which: Disinvestment β β β β β β β β
XII. Remittances 48,166.9 28,568.1 28,012.1 30,996.5 235,201.1 34,600.0 34,600.0 34,600.0
246Appendix III
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
WEST BENGAL
Item 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates)
1 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 3,481,374.5 2,896,452.8 3,666,837.9 3,669,637.9
TOTAL CAPITAL RECEIPTS 358,374.9 330,652.9 321,031.0 327,656.8
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 465,447.3 565,824.3 581,365.1 596,759.8
1. Market Loans 210,000.0 250,544.0 224,115.1 231,509.8
2. Loans from LIC β β β β
3. Loans from SBI and other Banks β β β β
4. Loans from National Bank for
Agriculture and Rural Development β 30.0 β β
5. Loans from National Co-operative
Development Corporation 199.4 250.0 250.0 250.0
6. WMA from RBI 200,176.0 270,000.0 300,000.0 300,000.0
7. Special Securities issued to NSSF 43,072.0 30,000.0 45,000.0 50,000.0
8. Others@ 12,000.0 15,000.3 12,000.0 15,000.0
of which: Land Compensation and other Bonds β 0.3 β β
II. Loans and Advances from the Centre (1 to 6) 7,290.2 19,874.6 15,000.0 1,500.0
1. State Plan Schemes 7,290.2 19,874.6 15,000.0 1,500.0
of which: Advance release of Plan
Assistance for Natural Calamities β β β β
2. Central Plan Schemes β β β β
3. Centrally Sponsored Schemes β β β β
4. Non-Plan (i + ii) β β β β
(i) Relief for Natural Calamities β β β β
(ii) Others β β β β
5. Ways and Means Advances from Centre β β β β
6. Loans for Special Schemes β β β β
III. Recovery of Loans and Advances (1 to 12) 11,578.3 3,085.1 3,785.7 3,974.9
1. Housing 0.6 1.5 0.6 0.7
2. Urban Development β β β β
3. Crop Husbandry β β β β
4. Food Storage and Warehousing β β β β
5. Co-operation 674.2 12.9 707.9 735.0
6. Minor Irrigation β β β β
7. Power Projects 10,674.8 2,844.8 2,838.6 2,987.0
8. Village and Small Industries 11.6 28.7 12.2 12.8
9. Industries and Minerals 35.2 26.3 35.4 38.8
10. Road Transport β 2.4 β β
11. Government Servants, etc.+ 111.5 162.7 117.0 122.9
12. Others** 70.4 5.8 73.9 77.6
IV. Inter-State Settlement β β β β
V. Contingency Fund β β 16.2 β
VI. State Provident Funds, etc. (1 + 2) 31,380.2 33,800.0 32,960.0 36,200.0
1. State Provident Funds 31,199.6 33,600.0 32,760.0 36,000.0
2. Others 180.6 200.0 200.0 200.0
VII. Reserve Funds (1 to 4) 22,807.1 27,192.6 24,498.2 31,345.5
1. Depreciation/Renewal Reserve Funds β β β β
2. Sinking Funds 5,391.0 3,000.0 3,000.0 4,000.0
3. Famine Relief Fund β β β β
4. Others 17,416.1 24,192.6 21,498.2 27,345.5
VIII. Deposits and Advances (1 to 4) 408,791.6 420,722.2 427,080.7 447,870.7
1. Civil Deposits 71,003.5 56,715.5 74,359.2 78,662.6
2. Deposits of Local Funds 98,019.8 86,200.0 97,023.4 103,576.0
3. Civil Advances 1,340.6 1,258.6 1,358.5 1,056.3
4. Others 238,427.6 276,548.1 254,339.6 264,575.8
IX. Suspense and Miscellaneous (1 to 4) 2,443,221.1 1,752,777.3 2,495,147.7 2,474,172.6
1. Suspense -349.61 3,870.4 3,674.4 3,767.7
2. Cash Balance Investment Accounts 342,805.2 213,040.0 355,980.0 307,041.1
3. Deposits with RBI 1,491,800.1 973,370.0 1,495,000.0 1,505,000.0
4. Others 608,965.4 562,496.9 640,493.3 658,363.9
X. Appropriation to Contingency Fund β β β β
XI. Miscellaneous Capital Receipts β β β β
of which: Disinvestment β β β β
XII. Remittances 90,858.6 73,176.7 86,984.3 77,814.4
247State Finances : A Study of Budgets of 2015-16
Appendix III : Capital Receipts of States and Union Territories with Legislature (Contd.)
(` Million)
ALL STATES
Item 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates)
1 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 48,182,781.0 38,390,161.8 38,169,852.6 40,221,426.0
TOTAL CAPITAL RECEIPTS 3,188,599.9 3,786,938.2 4,056,369.3 4,383,340.1
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) 2,897,952.6 4,068,054.1 4,172,102.3 4,623,219.3
1. Market Loans 1,961,638.6 2,636,037.4 2,646,795.2 3,003,098.1
2. Loans from LIC 2,658.9 3,530.0 100.0 100.0
3. Loans from SBI and other Banks 43,000.0 73,500.0 36,500.0 65,000.0
4. Loans from National Bank for
Agriculture and Rural Development 146,849.4 197,810.9 190,167.1 232,384.5
5. Loans from National Co-operative
Development Corporation 7,980.4 4,527.8 4,836.4 4,961.6
6. WMA from RBI 414,086.9 791,195.1 853,421.0 932,752.9
7. Special Securities issued to NSSF 247,102.6 207,108.1 236,228.7 219,586.9
8. Others@ 74,635.8 154,344.8 204,054.0 165,335.2
of which: Land Compensation and other Bonds 2,023.1 59,915.4 54,915.1 47,000.1
II. Loans and Advances from the Centre (1 to 6) 108,704.4 231,774.7 222,379.1 255,405.1
1. State Plan Schemes 109,918.2 230,719.7 218,258.3 236,681.8
of which: Advance release of Plan
Assistance for Natural Calamities β β β β
2. Central Plan Schemes -131.5 50.0 50.0 β
3. Centrally Sponsored Schemes -1,439.2 55.2 39.2 37.2
4. Non-Plan (i + ii) 324.4 849.8 3,931.7 18,586.1
(i) Relief for Natural Calamities β 60.0 60.0 60.0
(ii) Others 324.4 789.8 3,871.7 18,526.1
5. Ways and Means Advances from Centre β 100.0 100.0 100.0
6. Loans for Special Schemes 32.4 β β β
III. Recovery of Loans and Advances (1 to 12) 68,955.1 61,229.7 70,419.6 58,482.3
1. Housing 1,029.4 1,540.9 2,527.5 3,293.5
2. Urban Development 1,783.1 2,261.3 1,745.2 11,553.9
3. Crop Husbandry 3,052.1 880.2 689.7 316.2
4. Food Storage and Warehousing 11,267.6 104.2 97.4 185.9
5. Co-operation 4,771.5 2,791.2 5,176.4 4,485.6
6. Minor Irrigation 46.0 1.1 1.1 1.1
7. Power Projects 23,667.3 30,315.1 30,986.5 17,060.1
8. Village and Small Industries 608.9 553.2 548.7 427.5
9. Industries and Minerals 1,057.0 1,569.3 1,666.4 1,051.7
10. Road Transport 576.8 2.4 β β
11. Government Servants, etc.+ 11,940.7 14,835.2 13,640.5 14,373.3
12. Others** 9,154.6 6,375.6 13,340.1 5,733.5
IV. Inter-State Settlement 75.8 0.2 0.2 0.2
V. Contingency Fund 17,909.9 14,789.7 21,732.6 17,010.0
VI. State Provident Funds, etc. (1 + 2) 973,752.5 1,015,688.9 1,053,000.1 1,100,524.2
1. State Provident Funds 662,154.8 736,053.5 736,044.0 775,819.7
2. Others 311,597.7 279,635.4 316,956.1 324,704.5
VII. Reserve Funds (1 to 4) 443,927.3 465,757.3 458,515.3 462,596.3
1. Depreciation/Renewal Reserve Funds 828.0 7,367.6 7,391.7 8,125.8
2. Sinking Funds 151,866.8 161,515.9 143,106.4 161,674.1
3. Famine Relief Fund 118.9 4.2 4.2 4.4
4. Others 291,113.6 296,869.5 308,013.0 292,792.1
VIII. Deposits and Advances (1 to 4) 4,378,334.5 5,252,923.2 5,299,519.6 5,724,796.5
1. Civil Deposits 1,781,663.9 1,652,883.4 1,768,228.0 1,786,007.7
2. Deposits of Local Funds 1,616,172.1 2,289,827.1 2,291,744.8 2,328,182.4
3. Civil Advances 71,756.2 58,582.7 64,406.2 70,006.8
4. Others 908,742.3 1,251,630.0 1,175,140.7 1,540,599.7
IX. Suspense and Miscellaneous (1 to 4) 37,114,667.8 26,026,290.1 25,642,525.9 26,676,534.0
1. Suspense 526,071.8 254,204.0 326,267.7 329,944.1
2. Cash Balance Investment Accounts 23,569,648.5 17,942,863.2 16,840,346.3 17,525,535.2
3. Deposits with RBI 6,883,645.4 2,557,856.9 2,490,228.6 2,515,138.6
4. Others 6,135,302.0 5,271,366.0 5,985,683.4 6,305,916.0
X. Appropriation to Contingency Fund 13,500.0 β β β
XI. Miscellaneous Capital Receipts 3,604.4 13,340.6 31,684.4 1,315.2
of which: Disinvestment 201.9 2,340.3 6,703.6 205.0
XII. Remittances 2,161,396.8 1,240,313.3 1,197,973.4 1,301,542.9
248Appendix III
Appendix III : Capital Receipts of States and Union Territories with Legislature (Concld.)
(` Million)
NATIONAL CAPITAL TERRITORY OF DELHI PUDUCHERRY
Item 2013-14 2014-15 2014-15 2015-16 2013-14 2014-15 2014-15 2015-16
(Accounts) (Budget (Revised (Budget (Accounts) (Budget (Revised (Budget
Estimates) Estimates) Estimates) Estimates) Estimates) Estimates)
1 2 3 4 5 2 3 4 5
TOTAL CAPITAL RECEIPTS (I to XII) 49,658.1 6,997.1 18,190.0 14,191.3 67,454.7 177,835.3 181,482.6 199,459.8
TOTAL CAPITAL RECEIPTS 49,658.1 6,997.1 18,190.0 14,191.3 12,696.1 8,617.8 7,236.5 7,789.0
(Includes Public Accounts on a net basis)*
I. Internal Debt (1 to 8) β β β β 6,633.9 6,903.8 6,900.0 7,120.0
1. Market Loans β β β β 5,000.0 4,703.8 4,700.0 4,500.0
2. Loans from LIC β β β β β β β β
3. Loans from SBI and other Banks β β β β β β β β
4. Loans from National Bank for
Agriculture and Rural Development β β β β 457.0 602.7 602.7 1,120.0
5. Loans from National Co-operative
Development Corporation β β β β β β β β
6. WMA from RBI β β β β β β β β
7. Special Securities issued to NSSF β β β β β β β β
8. Others@ β β β β 1,176.9 1,597.3 1,597.3 1,500.0
of which: Land Compensation and other Bonds β β β β β β β β
II. Loans and Advances from the Centre (1 to 6) 41,628.9 β 12,000.0 10,381.3 869.7 780.0 780.0 1,160.0
1. State Plan Schemes β β β β 50.1 60.0 60.0 40.0
of which: Advance release of Plan
Assistance for Natural Calamities β β β β β β β β
2. Central Plan Schemes β β β β 99.6 β β 400.0
3. Centrally Sponsored Schemes β β β β β β β β
4. Non-Plan (i + ii) 41,628.9 β 12,000.0 10,381.3 720.0 720.0 720.0 720.0
(i) Relief for Natural Calamities β β β β β β β β
(ii) Others 41,628.9 β 12,000.0 10,381.3 720.0 720.0 720.0 720.0
5. Ways and Means Advances from Centre β β β β β β β β
6. Loans for Special Schemes β β β β β β β β
III. Recovery of Loans and Advances (1 to 12) 8,029.1 6,997.1 6,190.0 3,810.0 30.1 30.0 30.0 30.0
1. Housing β β β β 30.1 30.0 30.0 30.0
2. Urban Development β β β β β β β β
3. Crop Husbandry β β β β β β β β
4. Food Storage and Warehousing β β β β β β β β
5. Co-operation β β β β β β β β
6. Minor Irrigation β β β β β β β β
7. Power Projects β β β β β β β β
8. Village and Small Industries β β β β β β β β
9. Industries and Minerals β β β β β β β β
10. Road Transport β β β β β β β β
11. Government Servants, etc.+ 18.6 22.3 20.6 22.1 β β β β
12. Others** 8,010.6 6,974.8 6,169.4 3,787.9 β β β β
IV. Inter-State Settlement β β β β β β β β
V. Contingency Fund β β β β β β β β
VI. State Provident Funds, etc. (1 + 2) β β β β 2,672.1 2,747.0 2,799.0 3,078.9
1. State Provident Funds β β β β 2,626.2 2,700.0 2,750.0 3,025.0
2. Others β β β β 45.8 47.0 49.0 53.9
VII. Reserve Funds (1 to 4) β β β β 500.0 1,600.0 8.1 8.9
1. Depreciation/Renewal Reserve Funds β β β β β β β β
2. Sinking Funds β β β β 500.0 1,600.0 8.1 8.9
3. Famine Relief Fund β β β β β β β β
4. Others β β β β β β β β
VIII. Deposits and Advances (1 to 4) β β β β 2,698.1 2,390.0 2,518.0 2,769.8
1. Civil Deposits β β β β 2,151.9 1,680.0 1,750.0 1,925.0
2. Deposits of Local Funds β β β β 536.2 640.0 690.0 759.0
3. Civil Advances β β β β 8.0 10.0 13.0 14.3
4. Others β β β β 2.1 60.0 65.0 71.5
IX. Suspense and Miscellaneous (1 to 4) β β β β 50,856.4 160,384.5 165,397.5 181,937.3
1. Suspense β β β β 3271.6 127.0 132.0 145.2
2. Cash Balance Investment Accounts β β β β β 160,000.0 165,000.0 181,500.0
3. Deposits with RBI β β β β 47305.7 1.5 2.5 2.8
4. Others β β β β 279.1 256.0 263.0 289.3
X. Appropriation to Contingency Fund β β β β β β β β
XI. Miscellaneous Capital Receipts β β β β β β β β
of which: Disinvestment β β β β β β β β
XII. Remittances β β β β 3,194.4 3,000.0 3,050.0 3,355.0
β : Nil/Negligible/Not available.
* : Sum of Items I to XII where Items IV to X, XII and I(3) are on a net basis while Items I(6) and IX(2 and 3) are excluded. Items I (6) and IX (2 and 3) have been taken as fi nancing
items for overall surplus/defi cit.
@ : Include Land Compensation Bonds, loans from Khadi and Village Industries Commission, CWC, etc.
+ : Comprises recovery of loans and advances from Government Servants for housing, purchase of conveyance, festivals, marriages, etc.
** : Include recovery of loans and advances for Education, Art and Culture, Social Security and Welfare, Fisheries and Animal Husbandry, etc.
$ : State Provident Funds also includes other savings deposits.
Also see Notes to Appendices.
Note: Data pertaining to Jammu and Kashmir for 2013-14 are taken from Finance Accounts of the State published by CAG.
Source : Budget documents of state governments.
249State Finances : A Study of Budgets of 2015-16
250
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
HSEDARP
ARHDNA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
3.909,155
5.597,944
8.311,201
0.716,925
1.477,354
9.248,57
2.948,825
1.477,354
1.570,57
0.850,506,2
5.775,424,2
5.084,081
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
1.242,641
2.821,44
8.311,201
3.885,721
4.547,15
9.248,57
5.028,621
4.547,15
1.570,57
8.745,262
3.760,28
5.084,081
$)stnuoccA
cilbuP
gnidulcxE(
1.781,89
β
1.781,89
4.564,17
β
4.564,17
5.796,07
β
5.796,07
4.108,251
7.1
7.997,251
)2 + 1( yaltuO
latipaC
latoT
.I
6.136,49
β
6.136,49
7.053,96
β
7.053,96
9.285,86
β
9.285,86
8.607,941
7.1
2.507,941
)b + a( tnempoleveD
.1
5.862,22
β
5.862,22
1.268,22
β
1.268,22
7.458,22
β
7.458,22
3.187,31
β
3.187,31
)9 ot 1( secivreS
laicoS
)a(
7.762,2
β
7.762,2
5.870,3
β
5.870,3
6.180,3
β
6.180,3
4.172,2
β
4.172,2
erutluC
dna trA ,stropS ,noitacudE
.1
4.146,4
β
4.146,4
6.942,2
β
6.942,2
6.942,2
β
6.942,2
8.716,1
β
8.716,1
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
3.2
β
3.2
erafleW ylimaF
.3
3.625
β
3.625
4.733,2
β
4.733,2
9.623,2
β
9.623,2
2.591,2
β
2.591,2
noitatinaS dna ylppuS retaW
.4
3.95
β
3.95
8.94
β
8.94
8.94
β
8.94
4.923
β
4.923
gnisuoH
.5
6.230,6
β
6.230,6
0.002
β
0.002
0.002
β
0.002
β
β
β
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
4.703,7
β
4.703,7
3.247,21
β
3.247,21
3.247,21
β
3.247,21
9.355,5
β
9.355,5
sessalC
drawkcaB rehtO dna sebirT
9.850,1
β
9.850,1
4.189,1
β
4.189,1
4.189,1
β
4.189,1
6.661
β
6.661
erafleW dna ytiruceS laicoS
.8
0.573
β
0.573
2.322
β
2.322
2.322
β
2.322
5.446,1
β
5.446,1
* srehtO
.9
1.363,27
β
1.363,27
6.884,64
β
6.884,64
2.827,54
β
2.827,54
5.529,531
7.1
8.329,531
)01 ot 1( secivreS cimonocE)b(
3.870,1
β
3.870,1
7.885
β
7.885
7.885
β
7.885
8.062
β
8.062
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
0.002
β
0.002
6.78
β
6.78
6.78
β
6.78
2.6
β
2.6
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
0.045
β
0.045
0.005
β
0.005
0.005
β
0.005
2.232
β
2.232
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
0.003
β
0.003
β
β
β
β
β
β
β
β
β
seirehsiF
)v
7.5
β
7.5
1.1
β
1.1
1.1
β
1.1
5.01
β
5.01
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
6.23
β
6.23
β
β
β
β
β
β
0.21
β
0.21
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
1.308,54
β
1.308,54
0.697,13
β
0.697,13
6.530,13
β
6.530,13
2.016,79
β
2.016,79
lortnoC doolF
3.53
β
3.53
7.142
β
7.142
7.142
β
7.142
4.174
7.1
7.964
ygrenE
.5
1.765,1
β
1.765,1
1.091
β
1.091
1.091
β
1.091
7.717
β
7.717
)vi ot i( slareniM dna yrtsudnI
.6
1.0
β
1.0
1.0
β
1.0
1.0
β
1.0
2.0
β
2.0
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
2.22
β
2.22
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
0.765,1
β
0.765,1
0.091
β
0.091
0.091
β
0.091
3.596
β
3.596
# srehtO
)vi
4.644,81
β
4.644,81
1.244,31
β
1.244,31
1.244,31
β
1.244,31
2.659,62
β
2.659,62
)ii + i( tropsnarT
.7
4.133,81
β
4.133,81
9.753,31
β
9.753,31
9.753,31
β
9.753,31
1.788,62
β
1.788,62
segdirB dna sdaoR
)i
0.511
β
0.511
2.48
β
2.48
2.48
β
2.48
1.96
β
1.96
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
251
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
HSEDARP
ARHDNA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
0.334,5
β
0.334,5
0.032
β
0.032
0.032
β
0.032
2.909,9
β
2.909,9
)ii +
i( secivreS
cimonocE
lareneG.01
0.334
β
0.334
0.03
β
0.03
0.03
β
0.03
4.691
β
4.691
msiruoT
)i
0.000,5
β
0.000,5
0.002
β
0.002
0.002
β
0.002
7.217,9
β
7.217,9
@@ srehtO
)ii
5.555,3
β
5.555,3
6.411,2
β
6.411,2
6.411,2
β
6.411,2
5.490,3
β
5.490,3
)secivreS
lareneG( tnempoleveD-noN
.2
2.243,44
2.243,44
β
4.740,15
4.740,15
β
4.740,15
4.740,15
β
6.075,06
6.075,06
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
5.746,51
5.746,51
β
9.200,32
9.200,32
β
9.200,32
9.200,32
β
6.062,72
6.062,72
β
snaoL tekraM
.1
7.555
7.555
β
1.833
1.833
β
1.833
1.833
β
6.260,1
6.260,1
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
0.052,6
0.052,6
β
2.686,5
2.686,5
β
2.686,5
2.686,5
β
8.993,9
8.993,9
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
1.582
1.582
β
7.882
7.882
β
7.882
7.882
β
4.473
4.473
β
noitaroproC
0.000,01
0.000,01
β
0.000,01
0.000,01
β
0.000,01
0.000,01
β
β
β
β
IBR morf AMW
.6
2.427,7
2.427,7
β
2.427,7
2.427,7
β
2.427,7
2.427,7
β
7.413,21
7.413,21
β
FSSN
ot deussi seitiruceS
laicepS
.7
7.978,3
7.978,3
β
3.700,4
3.700,4
β
3.700,4
3.700,4
β
5.851,01
5.851,01
β
srehtO
.8
7.024,1
7.024,1
β
7.024,1
7.024,1
β
7.024,1
7.024,1
β
1.634,2
1.634,2
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
2.925,6
2.925,6
β
1.055,6
1.055,6
β
1.055,6
1.055,6
β
8.382,21
8.382,21
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
9.194,6
9.194,6
β
4.415,6
4.415,6
β
4.415,6
4.415,6
β
7.022,21
7.022,21
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
3.73
3.73
β
8.53
8.53
β
8.53
8.53
β
1.36
1.36
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
3.73
3.73
β
8.53
8.53
β
8.53
8.53
β
1.36
1.36
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
6.381,7
8.652,3
7.629,3
4.525,8
9.741,4
5.773,4
4.525,8
9.741,4
5.773,4
0.298,63
2.112,9
9.086,72
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
6.626,6
9.996,2
7.629,3
9.510,8
4.836,3
5.773,4
9.510,8
4.836,3
5.773,4
2.583,23
1.117,4
1.476,72
)b
+ a( sesopruP
tnempoleveD
.1
4.417,3
9.996,1
5.410,2
6.939,5
4.836,2
2.103,3
6.939,5
4.836,2
2.103,3
0.941,72
4.988,2
6.952,42
)7 ot 1 ( secivreS
laicoS
)a
0.1
β
0.1
7.92
β
7.92
7.92
β
7.92
1.401
β
1.401
erutluC
dna
trA ,stropS ,noitacudE
.1
0.051
0.051
β
9.924
9.483
0.54
9.924
9.483
0.54
4.447
0.594
4.942
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
6.929,2
β
6.929,2
noitatinaS
dna ylppuS
retaW .4
5.315,3
0.005,1
5.310,2
7.191,5
0.000,2
7.191,3
7.191,5
0.000,2
7.191,3
9.397,41
9.689,1
0.708,21
gnisuoH .5
9.94
9.94
β
5.352
5.352
β
5.352
5.352
β
5.732
5.732
β
)gnisuoH(
stnavreS tnemnrevoG
.6
β
β
β
8.43
β
8.43
8.43
β
8.43
5.933,8
0.071
5.961,8
srehtO .7
2.219,2
0.000,1
2.219,1
3.670,2
0.000,1
3.670,1
3.670,2
0.000,1
3.670,1
2.632,5
7.128,1
5.414,3
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
2.12
β
2.12
β
β
β
β
β
β
0.3
β
0.3
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
2.149
β
2.149
0.018
β
0.018
0.018
β
0.018
0.720,2
β
0.720,2
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
252
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
HSEDARP
ARHDNA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
6.571
β
6.571
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
8.949,1
0.000,1
8.949
3.662,1
0.000,1
3.662
3.662,1
0.000,1
3.662
5.030,3
7.128,1
8.802,1
srehtO.01
9.655
9.655
β
5.905
5.905
β
5.905
5.905
β
8.605,4
0.005,4
8.6
)b + a(
sesopruP tnempoleveD-noN
.2
9.655
9.655
β
5.905
5.905
β
5.905
5.905
β
0.005,4
0.005,4
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
8.6
β
8.6
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
5.43
5.43
β
dnuF ycnegnitnoC
.IV
4.757,61
4.757,61
β
9.232,51
9.232,51
β
9.232,51
9.232,51
β
9.600,62
9.600,62
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
4.480,31
4.480,31
β
2.476,11
2.476,11
β
2.476,11
2.476,11
β
3.400,32
3.400,32
β
sdnuF tnedivorP
etatS
.1
0.376,3
0.376,3
β
7.855,3
7.855,3
β
7.855,3
7.855,3
β
6.200,3
6.200,3
β
srehtO
.2
0.782,12
0.782,12
β
6.308,91
6.308,91
β
6.308,91
6.308,91
β
2.291,53
2.291,53
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
1.692,01
1.692,01
β
2.663,9
2.663,9
β
2.663,9
2.663,9
β
0.176,41
0.176,41
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
9.099,01
9.099,01
β
4.734,01
4.734,01
β
4.734,01
4.734,01
β
3.125,02
3.125,02
β
srehtO
.4
9.226,753
9.226,753
β
2.299,653
2.299,653
β
2.299,653
2.299,653
β
8.489,715
8.489,715
β
)4 ot 1( secnavdA dna
stisopeD
.XI
5.630,291
5.630,291
β
2.013,961
2.013,961
β
2.013,961
2.013,961
β
2.069,082
2.069,082
β
stisopeD
liviC
.1
1.175,67
1.175,67
β
2.965,79
2.965,79
β
2.965,79
2.965,79
β
7.734,421
7.734,421
β
sdnuF lacoL fo stisopeD
.2
8.861,1
8.861,1
β
4.771,1
4.771,1
β
4.771,1
4.771,1
β
8.675,1
8.675,1
β
secnavdA
liviC
.3
5.648,78
5.648,78
β
5.539,88
5.539,88
β
5.539,88
5.539,88
β
1.010,111
1.010,111
β
srehtO
.4
β
β
β
β
β
β
β
β
β
5.303,785,1
5.303,785,1
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
β
β
β
β
β
β
β
β
β
6.481,2
6.481,2
β
esnepsuS
.1
β
β
β
β
β
β
β
β
β
1.682,453,1
1.682,453,1
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
β
β
β
β
β
β
β
β
β
8.238,032
8.238,032
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
β
β
β
β
β
β
β
β
β
3.889,571
3.889,571
β
secnattimeR.IIX
9.799,27-
7.524,241-
9.536,06-
4.344,3
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
8.230,17
8.103,521
6.960,64
8.350,62
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
0.569,1-
9.321,71-
3.665,41-
2.794,92
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
0.569,1-
9.321,71-
3.665,41-
2.794,92
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
0.569,1-
9.321,71-
3.665,41-
0.386,4
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
9.330,81-
0.019-
5.167,1-
9.295,5-
ecnalaB gninepO
)a
9.899,91-
9.330,81-
8.723,61-
0.019-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
β
β
β
2.418,42
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
253
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
HSEDARP
LAHCANURA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.651,773
7.544,843
6.017,82
5.656,503
8.221,282
8.335,32
6.530,56
9.446,34
7.093,12
8.153,381
7.546,661
1.607,61
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
8.401,43
3.493,5
6.017,82
1.795,92
3.360,6
8.335,32
5.604,52
8.510,4
7.093,12
3.205,02
2.697,3
1.607,61
$)stnuoccA
cilbuP
gnidulcxE(
7.956,82
1.9
6.056,82
4.495,32
4.081
9.314,32
0.534,12
3.25
7.283,12
0.797,61
3.942
7.745,61
)2 + 1( yaltuO
latipaC
latoT
.I
7.644,71
1.9
6.734,71
3.103,12
4.081
9.021,12
4.289,3
3.25
1.039,3
9.819,41
3.991
6.917,41
)b + a( tnempoleveD
.1
0.131,5
β
0.131,5
8.844,7
9.961
8.872,7
0.610,2
8.14
2.479,1
0.830,5
3.4
7.330,5
)9 ot 1( secivreS
laicoS
)a(
7.225,1
β
7.225,1
3.708,1
β
3.708,1
2.331
β
2.331
6.531,1
β
6.531,1
erutluC
dna trA ,stropS ,noitacudE
.1
4.161
β
4.161
9.124
8.14
1.083
8.14
8.14
β
4.282
3.4
1.872
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
0.320,1
β
0.320,1
6.739
β
6.739
β
β
β
2.682
β
2.682
noitatinaS dna ylppuS retaW
.4
5.951
β
5.951
1.447
β
1.447
β
β
β
6.631
β
6.631
gnisuoH
.5
0.058
β
0.058
2.869,2
1.821
1.048,2
6.381,1
β
6.381,1
5.715,2
β
5.715,2
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
β
β
β
β
β
β
β
β
β
β
β
β
sessalC
drawkcaB rehtO dna sebirT
1.404,1
β
1.404,1
7.155
β
7.155
5.946
β
5.946
1.566
β
1.566
erafleW dna ytiruceS laicoS
.8
3.01
β
3.01
0.81
β
0.81
8.7
β
8.7
6.41
β
6.41
* srehtO
.9
7.513,21
1.9
6.603,21
6.258,31
5.01
1.248,31
4.669,1
5.01
9.559,1
9.088,9
0.591
9.586,9
)01 ot 1( secivreS cimonocE)b(
0.605,1
1.9
9.694,1
7.211
5.01
2.201
8.72
5.01
3.71
4.981
8.7
7.181
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
5.512,1
β
5.512,1
5.62
β
5.62
8.3
β
8.3
8.67
β
8.67
yrdnabsuH porC
)i
5.81
β
5.81
1.3
β
1.3
β
β
β
6.01
β
6.01
noitavresnoC retaW dna lioS
)ii
β
β
β
β
β
β
β
β
β
4.43
β
4.43
yrdnabsuH laminA
)iii
0.221
β
0.221
5.9
β
5.9
β
β
β
β
β
β
tnempoleveD yriaD
)vi
9.911
β
9.911
0.02
β
0.02
0.5
β
0.5
5.41
β
5.41
seirehsiF
)v
β
β
β
β
β
β
β
β
β
8.1
β
8.1
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
1.91
1.9
0.01
3.82
5.01
8.71
5.01
5.01
β
8.7
8.7
β
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
6.5
β
6.5
noitacudE
dna hcraeseR larutlucirgA
)xi
0.1
β
0.1
4.52
β
4.52
5.8
β
5.8
9.73
β
9.73
noitarepo-oC
)x
0.01
β
0.01
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
0.97
β
0.97
0.713
β
0.713
β
β
β
2.512
β
2.512
tnempoleveD laruR
.2
9.988
β
9.988
6.989
β
6.989
7.147
β
7.147
6.909
β
6.909
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
2.856,2
β
2.856,2
6.744
β
6.744
β
β
β
0.302
β
0.302
lortnoC doolF
3.931,1
β
3.931,1
4.625,1
β
4.625,1
5.483
β
5.483
4.791,1
β
4.791,1
ygrenE
.5
4.341
β
4.341
9.77
β
9.77
5.23
β
5.23
3.231
β
3.231
)vi ot i( slareniM dna yrtsudnI
.6
0.46
β
0.46
1.64
β
1.64
5.23
β
5.23
9.711
β
9.711
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
9.94
β
9.94
8.13
β
8.13
β
β
β
4.41
β
4.41
seirtsudnI lacigrullateM
5.92
β
5.92
β
β
β
β
β
β
β
β
β
# srehtO
)vi
4.706,5
β
4.706,5
1.237,9
β
1.237,9
1.764
β
1.764
3.546,6
2.781
1.854,6
)ii + i( tropsnarT
.7
9.075,5
β
9.075,5
4.085,9
β
4.085,9
9.414
β
9.414
1.854,6
β
1.854,6
segdirB dna sdaoR
)i
5.63
β
5.63
6.151
β
6.151
2.25
β
2.25
2.781
2.781
β
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
254
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
HSEDARP
LAHCANURA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
6.292
β
6.292
2.946
β
2.946
0.313
β
0.313
6.883
β
6.883
)ii +
i( secivreS
cimonocE
lareneG.01
1.502
β
1.502
2.265
β
2.265
2.592
β
2.592
1.823
β
1.823
msiruoT
)i
5.78
β
5.78
0.78
β
0.78
8.71
β
8.71
5.06
β
5.06
@@ srehtO
)ii
9.212,11
β
9.212,11
0.392,2
β
0.392,2
6.254,71
β
6.254,71
1.878,1
0.05
1.828,1
)secivreS
lareneG( tnempoleveD-noN
.2
2.380,5
2.380,5
β
9.565,5
9.565,5
β
2.056,3
2.056,3
β
7.242,3
7.242,3
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
β
β
β
β
β
β
β
β
β
β
β
β
snaoL tekraM
.1
β
β
β
β
β
β
β
β
β
β
β
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
β
β
β
β
β
β
β
β
β
β
β
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
β
β
β
β
β
β
β
β
β
β
β
β
noitaroproC
β
β
β
β
β
β
β
β
β
β
β
β
IBR morf AMW
.6
0.305,1
0.305,1
β
7.533,1
7.533,1
β
0.052,1
0.052,1
β
2.928,1
2.928,1
β
FSSN
ot deussi seitiruceS
laicepS
.7
2.085,3
2.085,3
β
2.032,4
2.032,4
β
2.004,2
2.004,2
β
5.314,1
5.314,1
β
srehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
0.662
0.662
β
0.662
0.662
β
3.772
3.772
β
3.772
3.772
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
0.662
0.662
β
0.662
0.662
β
3.772
3.772
β
3.772
3.772
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
β
β
β
β
β
β
β
β
β
β
β
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
0.69
0.63
0.06
8.071
0.15
8.911
0.44
0.63
0.8
3.581
9.62
5.851
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
0.06
β
0.06
8.911
β
8.911
0.8
β
0.8
5.851
β
5.851
)b
+ a( sesopruP
tnempoleveD
.1
β
β
β
β
β
β
β
β
β
1.89
β
1.89
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
β
β
β
β
β
β
β
β
β
β
β
β
)gnisuoH(
stnavreS tnemnrevoG
.6
β
β
β
β
β
β
β
β
β
1.89
β
1.89
srehtO .7
0.06
β
0.06
8.911
β
8.911
0.8
β
0.8
3.06
β
3.06
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
0.06
β
0.06
8.911
β
8.911
0.8
β
0.8
3.06
β
3.06
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
β
β
β
β
β
β
β
β
β
β
β
β
stcejorP
rewoP .6Appendix IV
255
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
HSEDARP
LAHCANURA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
β
β
β
β
β
β
β
β
β
β
β
β
srehtO.01
0.63
0.63
β
0.15
0.15
β
0.63
0.63
β
9.62
9.62
β
)b + a(
sesopruP tnempoleveD-noN
.2
0.63
0.63
β
0.15
0.15
β
0.63
0.63
β
9.62
9.62
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
7.705,1
7.705,1
β
9.534,1
9.534,1
β
7.445
7.445
β
3.846,1
3.846,1
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
3.454,1
3.454,1
β
0.583,1
0.583,1
β
7.825
7.825
β
3.406,1
3.406,1
β
sdnuF tnedivorP
etatS
.1
4.35
4.35
β
9.05
9.05
β
0.61
0.61
β
1.44
1.44
β
srehtO
.2
0.002
0.002
β
0.002
0.002
β
0.042
0.042
β
0.002
0.002
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
0.002
0.002
β
0.002
0.002
β
0.042
0.042
β
0.002
0.002
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.4
4.321,76
4.321,76
β
9.899,2
9.899,2
β
1.074,4
1.074,4
β
3.562,31
3.562,31
β
)4 ot 1( secnavdA dna
stisopeD
.XI
4.650,76
4.650,76
β
2.539,2
2.539,2
β
7.716,3
7.716,3
β
0.211,21
0.211,21
β
stisopeD
liviC
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF lacoL fo stisopeD
.2
3.66
3.66
β
2.36
2.36
β
4.258
4.258
β
3.351,1
3.351,1
β
secnavdA
liviC
.3
6.0
6.0
β
6.0
6.0
β
β
β
β
β
β
β
srehtO
.4
5.649,662
5.649,662
β
1.794,462
1.794,462
β
3.117,03
3.117,03
β
6.858,611
6.858,611
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
β
β
β
β
β
β
β
β
β
β
β
β
esnepsuS
.1
3.363,15
3.363,15
β
4.719,84
4.719,84
β
1.913,03
1.913,03
β
9.701,611
9.701,611
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
9.905,512
9.905,512
β
9.905,512
9.905,512
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
3.37
3.37
β
8.96
8.96
β
3.293
3.293
β
7.057
7.057
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
8.372,7
8.372,7
β
4.729,6
4.729,6
β
0.366,3
0.366,3
β
3.778,03
3.778,03
β
secnattimeR.IIX
6.233,32
1.570,21-
7.189,51
3.098
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
9.619,37-
3.077-
6.255,22-
4.690,4-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
3.485,05-
4.548,21-
9.075,6-
1.602,3-
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
4.485,05-
4.548,21-
9.075,6-
1.602,3-
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
2.234,64-
1.380,91-
6.731,6-
6.552,1-
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
3.492,7-
2.855,4-
7.295,1
7.295,1
ecnalaB gninepO
)a
5.627,35-
3.146,32-
9.445,4-
1.733
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
2.776,2-
7.217,7
7.649
5.059,1-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
0.574,1-
0.574,1-
0.083,1-
β
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
256
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
MASSA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.691,179,1
4.827,578,1
8.764,59
4.769,627,1
9.361,626,1
5.308,001
3.054,594,3
3.037,224,3
0.027,27
6.389,245,1
8.067,805,1
8.222,43
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
2.393,021
4.529,42
8.764,59
8.705,521
3.407,42
5.308,001
9.426,59
9.409,22
0.027,27
9.560,25
1.348,71
8.222,43
$)stnuoccA
cilbuP
gnidulcxE(
7.821,49
7.792,2
0.138,19
2.030,401
1.168,5
0.961,89
1.489,57
5.856,5
6.523,07
2.370,23
5.010,1
7.260,13
)2 + 1( yaltuO
latipaC
latoT
.I
2.186,88
1.460,1
2.716,78
6.252,59
4.464,1
2.887,39
9.279,86
4.462,1
5.807,76
9.657,03
8.948
1.709,92
)b + a( tnempoleveD
.1
1.607,12
7.334
3.272,12
6.321,71
2.253
4.177,61
4.322,31
2.253
2.178,21
3.448,1
5.991
8.446,1
)9 ot 1( secivreS
laicoS
)a(
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna trA ,stropS ,noitacudE
.1
1.443,1
0.13
1.313,1
1.865
0.2
1.665
1.924
0.2
1.724
2.521
7.6
5.811
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
4.192,51
β
4.192,51
8.905,51
β
8.905,51
0.257,11
β
0.257,11
7.860,1
β
7.860,1
noitatinaS dna ylppuS retaW
.4
4.764
4.761
0.003
1.023
2.941
9.071
7.613
2.941
5.761
8.731
7.97
0.85
gnisuoH
.5
3.085,4
3.532
0.543,4
2.517
0.002
2.515
2.517
0.002
2.515
1.805
0.311
1.593
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
4.5
β
4.5
9.7
β
9.7
9.7
β
9.7
5.4
β
5.4
sessalC
drawkcaB rehtO dna sebirT
β
β
β
0.1
0.1
β
0.1
0.1
β
β
β
β
erafleW dna ytiruceS laicoS
.8
4.71
β
4.71
5.1
β
5.1
5.1
β
5.1
β
β
β
* srehtO
.9
2.579,66
4.036
8.443,66
0.921,87
2.211,1
8.610,77
5.947,55
2.219
3.738,45
6.219,82
3.056
3.262,82
)01 ot 1( secivreS cimonocE)b(
0.910,2
β
0.910,2
2.654
0.073
2.68
5.773
0.073
5.7
1.27
β
1.27
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
2.952,1
β
2.952,1
β
β
β
β
β
β
β
β
β
yrdnabsuH porC
)i
5.13
β
5.13
0.07
0.07
β
0.07
0.07
β
β
β
β
noitavresnoC retaW dna lioS
)ii
4.066
β
4.066
0.003
0.003
β
0.003
0.003
β
8.6
β
8.6
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
β
β
β
β
β
β
β
β
β
β
β
β
seirehsiF
)v
β
β
β
β
β
β
β
β
β
8.7
β
8.7
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
9.76
β
9.76
2.68
β
2.68
5.7
β
5.7
5.75
β
5.75
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
β
β
β
β
β
β
β
β
β
β
β
β
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.2
5.907,21
2.02
3.986,21
0.405,42
5.71
5.684,42
7.198,22
5.71
2.478,22
3.562,01
3.5
0.062,01
semmargorP aerA laicepS
.3
3.365,3
2.0
2.365,3
7.305,7
β
7.305,7
4.198,5
β
4.198,5
4.830,7
4.1
0.730,7
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
3.509,52
β
3.509,52
0.866,52
β
0.866,52
5.979,01
β
5.979,01
6.052,5
1.0-
7.052,5
lortnoC doolF
7.608,4
β
7.608,4
0.882,5
β
0.882,5
0.682,5
β
0.682,5
7.171,4
β
7.171,4
ygrenE
.5
6.895,1
β
6.895,1
0.146,1
β
0.146,1
9.584,1
β
9.584,1
9.402,1
9.721
0.770,1
)vi ot i( slareniM dna yrtsudnI
.6
6.38
β
6.38
5.49
β
5.49
5.49
β
5.49
6.78
β
6.78
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
6.51
β
6.51
β
β
β
β
β
β
9.721
9.721
β
seirtsudnI lacigrullateM
4.994,1
β
4.994,1
5.645,1
β
5.645,1
4.193,1
β
4.193,1
4.989
β
4.989
# srehtO
)vi
7.425,91
2.865
5.659,81
1.262,02
7.486
4.775,91
6.844,41
7.484
9.369,31
2.258,7
5.394
6.853,7
)ii + i( tropsnarT
.7
7.947,71
2.865
5.181,71
5.079,81
7.486
8.582,81
6.898,31
7.484
9.314,31
0.003,7
5.394
4.608,6
segdirB dna sdaoR
)i
0.577,1
β
0.577,1
6.192,1
β
6.192,1
0.055
β
0.055
2.255
β
2.255
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
257
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
MASSA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
4.114
0.24
4.963
7.903
0.04
7.962
2.082
0.04
2.042
8.59
6.32
2.27
)ii +
i( secivreS
cimonocE
lareneG.01
4.104
0.24
4.953
7.903
0.04
7.962
2.082
0.04
2.042
8.59
6.32
2.27
msiruoT
)i
0.01
β
0.01
β
β
β
β
β
β
β
β
β
@@ srehtO
)ii
5.744,5
6.332,1
8.312,4
6.777,8
8.693,4
9.083,4
2.110,7
1.493,4
1.716,2
3.613,1
7.061
6.551,1
)secivreS
lareneG( tnempoleveD-noN
.2
5.424,24
5.424,24
β
3.097,21
3.097,21
β
3.097,21
3.097,21
β
2.351,01
2.351,01
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
5.235,21
5.235,21
β
7.079,7
7.079,7
β
7.079,7
7.079,7
β
6.658,5
6.658,5
β
snaoL tekraM
.1
2.1
2.1
β
2.1
2.1
β
2.1
2.1
β
5.1
5.1
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
5.829,1
5.829,1
β
0.018,1
0.018,1
β
0.018,1
0.018,1
β
6.348,1
6.348,1
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
β
β
β
β
β
β
β
β
β
β
β
β
noitaroproC
0.004,52
0.004,52
β
0.005
0.005
β
0.005
0.005
β
β
β
β
IBR morf AMW
.6
3.745,2
3.745,2
β
9.564,2
9.564,2
β
9.564,2
9.564,2
β
2.804,2
2.804,2
β
FSSN
ot deussi seitiruceS
laicepS
.7
0.51
0.51
β
5.24
5.24
β
5.24
5.24
β
2.34
2.34
β
srehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
5.974,1
5.974,1
β
1.514,1
1.514,1
β
1.514,1
1.514,1
β
2.916,1
2.916,1
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
4.973,1
4.973,1
β
1.413,1
1.413,1
β
1.413,1
1.413,1
β
0.782,1
0.782,1
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
3.21
3.21
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
9.913
9.913
β
semehcS derosnopS
yllartneC
.3
β
β
β
9.0
9.0
β
9.0
9.0
β
β
β
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
β
β
β
9.0
9.0
β
9.0
9.0
β
β
β
β
srehtO
)ii
0.001
0.001
β
0.001
0.001
β
0.001
0.001
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
1.0
1.0
β
1.0
1.0
β
1.0
1.0
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
4.067,7
6.321,4
8.636,3
2.277,7
8.731,5
4.436,2
4.539,5
0.145,3
4.493,2
3.022,8
3.060,5
1.061,3
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
1.457,7
3.711,4
8.636,3
1.757,7
6.221,5
4.436,2
2.029,5
9.525,3
4.493,2
8.012,8
8.050,5
1.061,3
)b
+ a( sesopruP
tnempoleveD
.1
7.041
9.4
8.531
7.633
9.5
8.033
9.18
9.5
0.67
8.36
8.0
1.36
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
0.2
0.2
β
0.2
0.2
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
0.16
β
0.16
9.22
β
9.22
1.81
β
1.81
5.91
β
5.91
gnisuoH .5
9.4
9.4
β
9.3
9.3
β
9.3
9.3
β
8.0
8.0
β
)gnisuoH(
stnavreS tnemnrevoG
.6
8.47
β
8.47
9.703
β
9.703
9.75
β
9.75
5.34
β
5.34
srehtO .7
5.316,7
5.211,4
0.105,3
4.024,7
8.611,5
6.303,2
4.838,5
0.025,3
4.813,2
0.741,8
0.050,5
0.790,3
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
β
β
β
β
β
β
β
β
β
0.05
0.05
β
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
9.443,6
9.669,3
0.873,2
5.801,6
0.088,3
5.822,2
5.847,4
0.025,2
5.822,2
6.948,2
β
6.948,2
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
258
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
MASSA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.83
β
0.83
1.33
β
1.33
1.33
β
1.33
1.33
β
1.33
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
6.032,1
6.541
0.580,1
8.872,1
8.632,1
0.24
8.650,1
0.000,1
8.65
3.412,5
0.000,5
3.412
srehtO.01
3.6
3.6
β
2.51
2.51
β
2.51
2.51
β
5.9
5.9
β
)b + a(
sesopruP tnempoleveD-noN
.2
3.6
3.6
β
2.51
2.51
β
2.51
2.51
β
5.9
5.9
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
0.000,1
0.000,1
β
0.000,1
0.000,1
β
0.005
0.005
β
β
β
β
dnuF ycnegnitnoC
.IV
2.274,7
2.274,7
β
9.297,6
9.297,6
β
7.939,5
7.939,5
β
3.571,6
3.571,6
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
5.253,6
5.253,6
β
0.577,5
0.577,5
β
7.939,5
7.939,5
β
0.052,5
0.052,5
β
sdnuF tnedivorP
etatS
.1
7.911,1
7.911,1
β
9.710,1
9.710,1
β
β
β
β
4.529
4.529
β
srehtO
.2
5.751,7
5.751,7
β
3.304,6
3.304,6
β
1.804,41
1.804,41
β
8.778,2
8.778,2
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
3.706,3
3.706,3
β
5.471,3
5.471,3
β
9.190,11
9.190,11
β
8.868,2
8.868,2
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
2.055,3
2.055,3
β
7.822,3
7.822,3
β
2.613,3
2.613,3
β
0.9
0.9
β
srehtO
.4
9.611,001
9.611,001
β
4.510,19
4.510,19
β
0.298,87
0.298,87
β
2.147,28
2.147,28
β
)4 ot 1( secnavdA dna
stisopeD
.XI
2.673,36
2.673,36
β
7.416,75
7.416,75
β
1.465,84
1.465,84
β
0.773,25
0.773,25
β
stisopeD
liviC
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF lacoL fo stisopeD
.2
9.913,53
9.913,53
β
0.901,23
0.901,23
β
1.868,92
1.868,92
β
0.091,92
0.091,92
β
secnavdA
liviC
.3
8.024,1
8.024,1
β
6.192,1
6.192,1
β
8.954
8.954
β
2.471,1
2.471,1
β
srehtO
.4
0.469,456,1
0.469,456,1
β
0.510,644,1
0.510,644,1
β
8.531,052,3
8.531,052,3
β
0.042,453,1
0.042,453,1
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
β
β
β
β
β
β
β
β
β
8.130,1-
8.130,1-
β
esnepsuS
.1
3.657,456,1
3.657,456,1
β
2.628,544,1
2.628,544,1
β
8.717,942,3
8.717,942,3
β
2.001,553,1
2.001,553,1
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
7.702
7.702
β
8.881
8.881
β
0.814
0.814
β
5.171
5.171
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
5.296,45
5.296,45
β
1.337,94
1.337,94
β
8.944,94
8.944,94
β
4.388,44
4.388,44
β
secnattimeR.IIX
5.210,55
0.988,05-
6.740,24
8.904,2
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
3.849,55-
3.285,96-
8.181,43-
6.121,62-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
8.539-
3.174,021-
7.568,7
7.117,32-
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
8.539-
3.174,021-
8.568,7
7.117,32-
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
7.790,61
6.407,1-
7.641,595-
6.238,2
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
0.157,81-
3.640,71-
7.525,31-
9.878,91-
ecnalaB gninepO
)a
2.356,2-
0.157,81-
4.276,806-
3.640,71-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
5.330,71-
7.667,811-
5.210,306
3.445,62-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
259
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
RAHIB
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.531,634
1.414,381
4.127,252
3.581,744
8.660,861
5.811,972
0.746,273
9.484,951
1.261,312
8.525,127,1
3.217,575,1
5.318,541
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
1.277,492
7.050,24
4.127,252
0.023,913
5.102,04
5.811,972
4.702,152
3.540,83
1.261,312
4.972,971
9.564,33
5.318,541
$)stnuoccA
cilbuP
gnidulcxE(
0.035,842
5.944,1
5.080,742
7.801,672
5.755,1
2.155,472
5.315,112
0.015,1
5.300,012
0.010,041
9.171,1
1.838,831
)2 + 1( yaltuO
latipaC
latoT
.I
5.973,702
5.161
0.812,702
4.974,832
5.161
9.713,832
6.045,881
5.161
1.973,881
7.486,621
5.16
2.326,621
)b + a( tnempoleveD
.1
7.344,04
5.161
2.282,04
1.768,04
5.161
6.507,04
1.791,53
5.161
6.530,53
8.875,81
1.94
7.925,81
)9 ot 1( secivreS
laicoS
)a(
6.229,21
β
6.229,21
2.730,11
β
2.730,11
2.763,01
β
2.763,01
4.630,7
β
4.630,7
erutluC
dna trA ,stropS ,noitacudE
.1
6.607,41
β
6.607,41
4.633,11
β
4.633,11
4.681,7
β
4.681,7
7.106,4
5.01-
2.216,4
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
4.955,01
β
4.955,01
3.868,41
β
3.868,41
3.867,31
β
3.867,31
5.181,6
0.42
5.751,6
noitatinaS dna ylppuS retaW
.4
3.726
5.161
8.564
2.127
5.161
7.955
2.107
5.161
7.935
1.581
7.23
3.251
gnisuoH
.5
1.0
β
1.0
0.01
β
0.01
0.01
β
0.01
0.01
β
0.01
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
1.562
β
1.562
0.081
β
0.081
0.081
β
0.081
7.06
β
7.06
sessalC
drawkcaB rehtO dna sebirT
0.345
β
0.345
0.548
β
0.548
0.556
β
0.556
7.523-
9.2
6.823-
erafleW dna ytiruceS laicoS
.8
6.918
β
6.918
0.968,1
β
0.968,1
0.923,2
β
0.923,2
1.928
β
1.928
* srehtO
.9
8.539,661
β
8.539,661
2.216,791
β
2.216,791
5.343,351
β
5.343,351
9.501,801
4.21
5.390,801
)01 ot 1( secivreS cimonocE)b(
7.646,5
β
7.646,5
3.046,8
β
3.046,8
4.242,8
β
4.242,8
7.967,4
β
7.967,4
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
0.201,4
β
0.201,4
9.459
β
9.459
0.717
β
0.717
8.101
β
8.101
yrdnabsuH porC
)i
2.234
β
2.234
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
β
β
β
β
β
β
β
β
β
β
β
β
seirehsiF
)v
0.02
β
0.02
3.642
β
3.642
0.09
β
0.09
3.122
β
3.122
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
6.647
β
6.647
0.000,7
β
0.000,7
0.000,7
β
0.000,7
5.040,4
β
5.040,4
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
9.543
β
9.543
0.934
β
0.934
4.534
β
4.534
1.604
β
1.604
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
0.833,95
β
0.833,95
3.162,85
β
3.162,85
7.563,45
β
7.563,45
1.533,91
β
1.533,91
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
1.474,61
β
1.474,61
9.701,72
β
9.701,72
3.872,91
β
3.872,91
1.989,71
5.3
7.589,71
lortnoC doolF
3.457,53
β
3.457,53
7.014,84
β
7.014,84
0.009,82
β
0.009,82
8.479,81
β
8.479,81
ygrenE
.5
5.992
β
5.992
0.332
β
0.332
0.332
β
0.332
0.053,5
β
0.053,5
)vi ot i( slareniM dna yrtsudnI
.6
β
β
β
3.5
β
3.5
3.5
β
3.5
0.05
β
0.05
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
5.992
β
5.992
7.722
β
7.722
7.722
β
7.722
0.003,5
β
0.003,5
# srehtO
)vi
0.877,84
β
0.877,84
4.961,35
β
4.961,35
4.422,04
β
4.422,04
6.209,04
3.9
2.398,04
)ii + i( tropsnarT
.7
9.945,84
β
9.945,84
4.109,25
β
4.109,25
4.659,93
β
4.659,93
5.238,04
3.9
2.328,04
segdirB dna sdaoR
)i
1.822
β
1.822
0.862
β
0.862
0.862
β
0.862
1.07
β
1.07
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
260
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
RAHIB
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
1.546
β
1.546
6.987,1
β
6.987,1
6.990,2
β
6.990,2
6.487
4.0-
0.587
)ii +
i( secivreS
cimonocE
lareneG.01
1.033
β
1.033
5.080,1
β
5.080,1
5.014,1
β
5.014,1
0.925
β
0.925
msiruoT
)i
0.513
β
0.513
1.907
β
1.907
1.986
β
1.986
6.552
4.0-
0.652
@@ srehtO
)ii
5.051,14
0.882,1
5.268,93
4.926,73
0.693,1
4.332,63
9.279,22
5.843,1
4.426,12
3.523,31
4.011,1
9.412,21
)secivreS
lareneG( tnempoleveD-noN
.2
3.667,13
3.667,13
β
4.477,92
4.477,92
β
6.037,92
6.037,92
β
3.885,52
3.885,52
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
9.176,21
9.176,21
β
7.733,41
7.733,41
β
7.733,41
7.733,41
β
3.235,11
3.235,11
β
snaoL tekraM
.1
β
β
β
β
β
β
β
β
β
β
β
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
9.534,6
9.534,6
β
1.522,5
1.522,5
β
1.522,5
1.522,5
β
6.053,4
6.053,4
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.091
0.091
β
8.861
8.861
β
0.521
0.521
β
3.77
3.77
β
noitaroproC
β
β
β
β
β
β
β
β
β
β
β
β
IBR morf AMW
.6
0.273,01
0.273,01
β
2.649,7
2.649,7
β
2.649,7
2.649,7
β
7.945,7
7.945,7
β
FSSN
ot deussi seitiruceS
laicepS
.7
6.690,2
6.690,2
β
6.690,2
6.690,2
β
6.690,2
6.690,2
β
3.870,2
3.870,2
β
srehtO
.8
6.690,2
6.690,2
β
6.690,2
6.690,2
β
6.690,2
6.690,2
β
3.870,2
3.870,2
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
5.681,7
5.681,7
β
0.982,6
0.982,6
β
3.898,5
3.898,5
β
3.706,5
3.706,5
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
0.751,7
0.751,7
β
3.952,6
3.952,6
β
7.868,5
7.868,5
β
3.985,5
3.985,5
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
5.2-
5.2-
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
0.9-
0.9-
β
semehcS derosnopS
yllartneC
.3
4.92
4.92
β
7.92
7.92
β
7.92
7.92
β
5.92
5.92
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
4.92
4.92
β
7.92
7.92
β
7.92
7.92
β
5.92
5.92
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
3.982,7
4.846,1
9.046,5
9.741,7
6.085,2
3.765,4
9.460,4
3.609
6.851,3
8.370,8
3.890,1
5.579,6
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
3.461,7
4.325,1
9.046,5
9.700,7
6.044,2
3.765,4
9.939,3
3.187
6.851,3
8.900,8
3.430,1
5.579,6
)b
+ a( sesopruP
tnempoleveD
.1
5.87
5.77
0.1
0.06
0.06
β
0.57
0.57
β
1.54
1.54
β
)7 ot 1 ( secivreS
laicoS
)a
5.3
5.2
0.1
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
0.57
0.57
β
0.06
0.06
β
0.57
0.57
β
1.54
1.54
β
)gnisuoH(
stnavreS tnemnrevoG
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO .7
8.580,7
9.544,1
9.936,5
9.749,6
6.083,2
3.765,4
9.468,3
3.607
6.851,3
7.469,7
2.989
5.579,6
)01
ot 1( secivreS
cimonocE
)b
β
β
β
4.4
4.4
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
2.803,1
β
2.803,1
8.671,1
β
8.671,1
4.751
β
4.751
0.542
β
0.542
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
7.176,5
0.044,1
7.132,4
5.889,3
0.007
5.882,3
2.995,3
0.007
2.998,2
9.742,7
4.716
4.036,6
stcejorP
rewoP .6Appendix IV
261
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
RAHIB
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
0.2
β
0.2
0.2
β
0.2
0.55
0.55
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
9.501
9.5
0.001
2.677,1
2.676,1
0.001
3.601
3.6
0.001
8.614
8.613
0.001
srehtO.01
0.521
0.521
β
0.041
0.041
β
0.521
0.521
β
0.46
0.46
β
)b + a(
sesopruP tnempoleveD-noN
.2
0.521
0.521
β
0.041
0.041
β
0.521
0.521
β
0.46
0.46
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
7.195,61
7.195,61
β
0.780,41
0.780,41
β
0.780,41
0.780,41
β
0.207,31
0.207,31
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
8.585,31
8.585,31
β
6.157,8
6.157,8
β
6.157,8
6.157,8
β
8.712,11
8.712,11
β
sdnuF tnedivorP
etatS
.1
9.500,3
9.500,3
β
4.533,5
4.533,5
β
4.533,5
4.533,5
β
2.484,2
2.484,2
β
srehtO
.2
6.806,9
6.806,9
β
3.818,31
3.818,31
β
6.293,7
6.293,7
β
7.116,5
7.116,5
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
6.819,4
6.819,4
β
6.257,9
6.257,9
β
9.623,3
9.623,3
β
7.263,4
7.263,4
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
0.096,4
0.096,4
β
7.560,4
7.560,4
β
7.560,4
7.560,4
β
0.942,1
0.942,1
β
srehtO
.4
1.361,511
1.361,511
β
0.069,99
0.069,99
β
0.069,99
0.069,99
β
7.904,941
7.904,941
β
)4 ot 1( secnavdA dna
stisopeD
.XI
0.000,04
0.000,04
β
0.008,24
0.008,24
β
0.008,24
0.008,24
β
2.920,32
2.920,32
β
stisopeD
liviC
.1
0.000,37
0.000,37
β
0.057,55
0.057,55
β
0.057,55
0.057,55
β
8.790,65
8.790,65
β
sdnuF lacoL fo stisopeD
.2
1.361,2
1.361,2
β
0.014,1
0.014,1
β
0.014,1
0.014,1
β
7.787,1
7.787,1
β
secnavdA
liviC
.3
β
β
β
β
β
β
β
β
β
0.594,86
0.594,86
β
srehtO
.4
β
β
β
β
β
β
β
β
β
1.795,942,1
1.795,942,1
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
β
β
β
β
β
β
β
β
β
1.932,6
1.932,6
β
esnepsuS
.1
β
β
β
β
β
β
β
β
β
4.878,932,1
4.878,932,1
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
β
β
β
β
β
β
β
β
β
6.974,3
6.974,3
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
β
β
β
β
β
β
β
β
β
9.529,321
9.529,321
β
secnattimeR.IIX
6.908,911
6.990,54-
3.047,101
2.414,46
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
2.523,911-
9.839,761-
3.628,99-
7.153,44-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
3.484
5.830,312-
0.419,1
5.260,02
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
3.484
5.830,312-
0.419,1
5.260,02
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
3.484
5.830,312-
0.419,1
2.814
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
0.005
3.003,2
0.005
1.288,1
ecnalaB gninepO
)a
3.489
2.837,012-
0.414,2
3.003,2
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
β
β
β
3.446,91
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
262
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
HRAGSITTAHHC
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
6.805,640,1
1.518,339
5.396,211
2.307,610,1
0.623,339
2.773,38
4.356,710,1
9.886,239
5.469,48
9.628,741,1
2.889,880,1
7.838,85
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
9.808,021
4.511,8
5.396,211
2.931,39
9.167,9
2.773,38
5.636,49
0.276,9
5.469,48
7.328,56
0.589,6
7.838,85
$)stnuoccA
cilbuP
gnidulcxE(
5.200,011
2.321
3.978,901
4.681,97
2.321
2.360,97
7.274,38
2.321
5.943,38
9.147,54
4.7-
3.947,54
)2 + 1( yaltuO
latipaC
latoT
.I
2.045,601
7.0
5.935,601
0.321,67
7.0
3.221,67
7.938,08
7.0
0.938,08
7.719,34
4.7-
1.529,34
)b + a( tnempoleveD
.1
1.648,42
7.0
4.548,42
6.324,91
7.0
9.224,91
6.505,02
7.0
9.405,02
6.919,6
β
6.919,6
)9 ot 1( secivreS
laicoS
)a(
3.961,7
β
3.961,7
1.276,4
β
1.276,4
0.563,4
β
0.563,4
4.335,2
β
4.335,2
erutluC
dna trA ,stropS ,noitacudE
.1
5.530,3
β
5.530,3
7.385,2
β
7.385,2
0.649,2
β
0.649,2
9.962,1
β
9.962,1
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
4.547,1
β
4.547,1
6.255
β
6.255
6.273
β
6.273
7.93
β
7.93
noitatinaS dna ylppuS retaW
.4
7.153
β
7.153
2.451,1
β
2.451,1
7.830,1
β
7.830,1
5.772
β
5.772
gnisuoH
.5
4.112,8
β
4.112,8
0.571,5
β
0.571,5
0.537,6
β
0.537,6
4.235
β
4.235
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
7.769,2
5.0
2.769,2
9.190,3
5.0
4.190,3
7.559,2
5.0
2.559,2
3.918
β
3.918
sessalC
drawkcaB rehtO dna sebirT
0.625
β
0.625
9.464,1
β
9.464,1
4.274,1
β
4.274,1
7.260,1
β
7.260,1
erafleW dna ytiruceS laicoS
.8
1.938
2.0
9.838
2.927
2.0
0.927
3.026
2.0
1.026
9.483
β
8.483
* srehtO
.9
1.496,18
β
1.496,18
4.996,65
β
4.996,65
1.433,06
β
1.433,06
1.899,63
4.7-
5.500,73
)01 ot 1( secivreS cimonocE)b(
5.266,1
β
5.266,1
5.618
β
5.618
1.833,1
β
1.833,1
0.988
4.7-
4.698
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
1.0
β
1.0
0.2
β
0.2
0.2
β
0.2
7.2
β
7.2
yrdnabsuH porC
)i
0.002
β
0.002
0.001
β
0.001
0.001
β
0.001
6.012
β
6.012
noitavresnoC retaW dna lioS
)ii
0.974
β
0.974
5.842
β
5.842
0.656
β
0.656
8.95
β
8.95
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
5.22
β
5.22
5.7
β
5.7
5.7
β
5.7
5.7
β
5.7
seirehsiF
)v
3.823
β
3.823
9.524
β
9.524
0.014
β
0.014
4.443
β
4.443
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
1.301
β
1.301
8.291
4.7-
2.002
gnisuoheraW
dna egarotS dooF)iiiv
0.006
β
0.006
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
6.23
β
6.23
6.23
β
6.23
5.95
β
5.95
3.17
β
3.17
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
5.279,8
β
5.279,8
0.151,4
β
0.151,4
0.384,4
β
0.384,4
1.709
β
1.709
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
6.346,22
β
6.346,22
6.766,71
β
6.766,71
1.329,91
β
1.329,91
5.348,61
β
5.348,61
lortnoC doolF
0.003,1
β
0.003,1
0.056
β
0.056
0.056
β
0.056
0.022
β
0.022
ygrenE
.5
5.420,1
β
5.420,1
5.083
β
5.083
7.293
β
7.293
1.18
β
1.18
)vi ot i( slareniM dna yrtsudnI
.6
5.478
β
5.478
5.033
β
5.033
7.243
β
7.243
1.18
β
1.18
seirtsudnI llamS dna egalliV
)i
0.051
β
0.051
0.05
β
0.05
0.05
β
0.05
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
β
β
β
β
β
β
β
β
β
β
β
β
# srehtO
)vi
0.338,54
β
0.338,54
8.497,23
β
8.497,23
2.813,33
β
2.813,33
5.310,81
β
5.310,81
)ii + i( tropsnarT
.7
8.371,54
β
8.371,54
6.807,23
β
6.807,23
0.712,33
β
0.712,33
7.179,71
β
7.179,71
segdirB dna sdaoR
)i
2.956
β
2.956
2.68
β
2.68
2.101
β
2.101
8.14
β
8.14
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
263
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
HRAGSITTAHHC
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.89
β
0.89
0.95
β
0.95
0.94
β
0.94
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
0.061
β
0.061
0.081
β
0.081
0.081
β
0.081
0.44
β
0.44
)ii +
i( secivreS
cimonocE
lareneG.01
0.061
β
0.061
0.081
β
0.081
0.081
β
0.081
0.44
β
0.44
msiruoT
)i
β
β
β
β
β
β
β
β
β
β
β
β
@@ srehtO
)ii
4.264,3
5.221
9.933,3
4.360,3
5.221
9.049,2
9.236,2
5.221
4.015,2
2.428,1
β
2.428,1
)secivreS
lareneG( tnempoleveD-noN
.2
2.372,9
2.372,9
β
9.187,01
9.187,01
β
7.187,01
7.187,01
β
6.504,5
6.504,5
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
5.238,1
5.238,1
β
5.329,3
5.329,3
β
5.329,3
5.329,3
β
1.065,1
1.065,1
β
snaoL tekraM
.1
0.05
0.05
β
0.05
0.05
β
0.05
0.05
β
β
β
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
4.074,1
4.074,1
β
9.210,1
9.210,1
β
9.210,1
9.210,1
β
8.149
8.149
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.1
0.1
β
1.2
1.2
β
8.1
8.1
β
4.3
4.3
β
noitaroproC
0.058,2
0.058,2
β
0.058,2
0.058,2
β
0.058,2
0.058,2
β
β
β
β
IBR morf AMW
.6
0.285,2
0.285,2
β
8.554,2
8.554,2
β
8.554,2
8.554,2
β
6.214,2
6.214,2
β
FSSN
ot deussi seitiruceS
laicepS
.7
4.784
4.784
β
5.784
5.784
β
7.784
7.784
β
7.784
7.784
β
srehtO
.8
2.384
2.384
β
2.384
2.384
β
2.384
2.384
β
2.384
2.384
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
4.555,1
4.555,1
β
4.815,1
4.815,1
β
6.315,1
6.315,1
β
0.194,1
0.194,1
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
3.845,1
3.845,1
β
4.784,1
4.784,1
β
6.284,1
6.284,1
β
9.774,1
9.774,1
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
1.0
1.0
β
9.71
9.71
β
9.71
9.71
β
β
β
β
semehcS derosnopS
yllartneC
.3
1.7
1.7
β
1.31
1.31
β
1.31
1.31
β
1.31
1.31
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
1.7
1.7
β
1.31
1.31
β
1.31
1.31
β
1.31
1.31
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
7.728,2
5.31
2.418,2
6.205,4
5.881
1.413,4
5.817,1
5.301
0.516,1
3.581,31
8.59
5.980,31
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
2.628,2
0.21
2.418,2
1.105,4
0.781
1.413,4
0.717,1
0.201
0.516,1
3.581,31
8.59
5.980,31
)b
+ a( sesopruP
tnempoleveD
.1
0.242,1
0.01
0.232,1
0.535
0.05
0.584
0.585
0.001
0.584
0.161
8.59
2.56
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
0.764
β
0.764
0.024
β
0.024
0.024
β
0.024
2.56
β
2.56
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
β
β
β
β
β
β
β
β
β
β
β
β
)gnisuoH(
stnavreS tnemnrevoG
.6
0.577
0.01
0.567
0.511
0.05
0.56
0.561
0.001
0.56
8.59
8.59
β
srehtO .7
2.485,1
0.2
2.285,1
1.669,3
0.731
1.928,3
0.231,1
0.2
0.031,1
2.420,31
β
2.420,31
)01
ot 1( secivreS
cimonocE
)b
0.2
0.2
β
0.731
0.731
β
0.203
0.2
0.003
1.083,2
β
1.083,2
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
1.520,1
β
1.520,1
1.578
β
1.578
0.873
β
0.873
1.482,01
β
1.482,01
gnisuoheraW
dna egarotS
dooF .3
0.755
β
0.755
9.354
β
9.354
0.154
β
0.154
0.063
β
0.063
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
β
β
β
0.005,2
β
0.005,2
β
β
β
β
β
β
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
264
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
HRAGSITTAHHC
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.0
β
1.0
1.0
β
1.0
0.1
β
0.1
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
β
β
β
β
β
β
β
β
β
β
β
β
srehtO.01
5.1
5.1
β
5.1
5.1
β
5.1
5.1
β
β
β
β
)b + a(
sesopruP tnempoleveD-noN
.2
5.1
5.1
β
5.1
5.1
β
5.1
5.1
β
β
β
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
0.1
0.1
β
0.1
0.1
β
0.1
0.1
β
0.35
0.35
β
tnemeltteS
etatS-retnI
.V
0.004
0.004
β
1.764
1.764
β
0.004
0.004
β
β
β
β
dnuF ycnegnitnoC
.IV
0.046,6
0.046,6
β
0.045,6
0.045,6
β
0.045,6
0.045,6
β
1.071,6
1.071,6
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
0.047,5
0.047,5
β
0.047,5
0.047,5
β
0.047,5
0.047,5
β
3.316,5
3.316,5
β
sdnuF tnedivorP
etatS
.1
0.009
0.009
β
0.008
0.008
β
0.008
0.008
β
8.655
8.655
β
srehtO
.2
3.055,9
3.055,9
β
4.769,8
4.769,8
β
4.769,8
4.769,8
β
9.322,5
9.322,5
β
)4 ot 1( sdnuF
evreseR.IIIV
1.0
1.0
β
1.0
1.0
β
1.0
1.0
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
0.000,2
0.000,2
β
0.000,1
0.000,1
β
0.000,1
0.000,1
β
0.000,1
0.000,1
β
sdnuF
gnikniS
.2
2.3
2.3
β
2.3
2.3
β
2.3
2.3
β
β
β
β
dnuF feileR
enimaF
.3
0.745,7
0.745,7
β
1.469,7
1.469,7
β
1.469,7
1.469,7
β
9.322,4
9.322,4
β
srehtO
.4
1.164,73
1.164,73
β
1.149,53
1.149,53
β
1.164,53
1.164,53
β
1.891,43
1.891,43
β
)4 ot 1( secnavdA dna
stisopeD
.XI
4.093,52
4.093,52
β
4.093,52
4.093,52
β
4.093,52
4.093,52
β
7.607,62
7.607,62
β
stisopeD
liviC
.1
7.0
7.0
β
7.0
7.0
β
7.0
7.0
β
β
β
β
sdnuF lacoL fo stisopeD
.2
0.005,4
0.005,4
β
0.005,4
0.005,4
β
0.005,4
0.005,4
β
6.407,5
6.407,5
β
secnavdA
liviC
.3
0.075,7
0.075,7
β
0.050,6
0.050,6
β
0.075,5
0.075,5
β
8.687,1
8.687,1
β
srehtO
.4
2.795,697
2.795,697
β
2.795,697
2.795,697
β
2.795,697
2.795,697
β
4.323,449
4.323,449
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
1.79
1.79
β
1.79
1.79
β
1.79
1.79
β
2.54
2.54
β
esnepsuS
.1
0.000,045
0.000,045
β
0.000,045
0.000,045
β
0.000,045
0.000,045
β
8.986,734
8.986,734
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
0.004,1
0.004,1
β
0.004,1
0.004,1
β
0.004,1
0.004,1
β
8.478,902
8.478,902
β
IBR htiw stisopeD
.3
1.001,552
1.001,552
β
1.001,552
1.001,552
β
1.001,552
1.001,552
β
6.317,692
6.317,692
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
2.002,27
2.002,27
β
2.002,27
2.002,27
β
2.002,27
2.002,27
β
7.430,29
7.430,29
β
secnattimeR.IIX
3.662,24
1.067,32
1.536,42
1.390,8-
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
6.658,24-
0.541,42-
7.449,42-
4.673,41
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
3.095-
9.483-
6.903-
3.382,6
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
3.095-
9.483-
6.903-
3.382,6
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
3.577-
9.965-
6.494-
0.402,71
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
0.730,1-
1.764-
1.451,91-
1.176,71-
ecnalaB gninepO
)a
3.218,1-
0.730,1-
7.846,91-
1.764-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
0.581
0.581
0.581
7.029,01-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
265
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
AOG
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.647,332
4.804,202
1.833,13
1.209,112
4.968,391
7.230,81
1.603,012
4.968,191
7.634,81
2.828,831
5.037,821
7.790,01
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
5.737,53
3.993,4
1.833,13
5.477,12
7.147,3
7.230,81
4.871,22
7.147,3
7.634,81
2.264,31
6.463,3
7.790,01
$)stnuoccA
cilbuP
gnidulcxE(
2.012,13
β
2.012,13
5.919,71
β
5.919,71
7.213,81
β
7.213,81
1.690,01
β
1.690,01
)2 + 1( yaltuO
latipaC
latoT
.I
6.712,22
β
6.712,22
5.725,41
β
5.725,41
6.078,41
β
6.078,41
8.541,8
β
8.541,8
)b + a( tnempoleveD
.1
5.413,7
β
5.413,7
7.596,5
β
7.596,5
9.039,5
β
9.039,5
2.527,1
β
2.527,1
)9 ot 1( secivreS
laicoS
)a(
0.326,3
β
0.326,3
9.275,2
β
9.275,2
7.067,2
β
7.067,2
2.526
β
2.526
erutluC
dna trA ,stropS ,noitacudE
.1
8.309
β
8.309
2.805
β
2.805
2.745
β
2.745
7.371
β
7.371
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
4.450,2
β
4.450,2
9.719,1
β
9.719,1
9.719,1
β
9.719,1
9.419
β
9.419
noitatinaS dna ylppuS retaW
.4
4.3
β
4.3
1.3
β
1.3
1.3
β
1.3
β
β
β
gnisuoH
.5
5.81
β
5.81
4.81
β
4.81
4.81
β
4.81
4.4
β
4.4
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
4.866
β
4.866
0.056
β
0.056
4.856
β
4.856
β
β
β
sessalC
drawkcaB rehtO dna sebirT
0.04
β
0.04
0.22
β
0.22
0.22
β
0.22
9.6
β
9.6
erafleW dna ytiruceS laicoS
.8
1.3
β
1.3
2.3
β
2.3
2.3
β
2.3
β
β
β
* srehtO
.9
1.309,41
β
1.309,41
8.138,8
β
8.138,8
8.939,8
β
8.939,8
6.024,6
β
6.024,6
)01 ot 1( secivreS cimonocE)b(
3.785
β
3.785
4.523
β
4.523
4.334
β
4.334
2.172
β
2.172
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
1.831
β
1.831
0.801
β
0.801
0.801
β
0.801
1.52
β
1.52
yrdnabsuH porC
)i
0.39
β
0.39
0.09
β
0.09
0.09
β
0.09
5.59
β
5.59
noitavresnoC retaW dna lioS
)ii
5.95
β
5.95
5.61
β
5.61
5.42
β
5.42
4.8
β
4.8
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
7.012
β
7.012
5.57
β
5.57
5.57
β
5.57
0.01
β
0.01
seirehsiF
)v
1.03
β
1.03
7.7
β
7.7
7.7
β
7.7
2.3
β
2.3
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
9.41-
β
9.41-
9.41-
β
9.41-
8.001
β
8.001
gnisuoheraW
dna egarotS dooF)iiiv
0.2
β
0.2
9.1
β
9.1
9.1
β
9.1
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
9.35
β
9.35
7.04
β
7.04
7.041
β
7.041
3.82
β
3.82
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
5.503
β
5.503
0.403
β
0.403
0.403
β
0.403
3.04
β
3.04
tnempoleveD laruR
.2
3.32
β
3.32
0.33
β
0.33
0.33
β
0.33
5.4
β
5.4
semmargorP aerA laicepS
.3
3.32
β
3.32
0.33
β
0.33
0.33
β
0.33
5.4
β
5.4
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
8.877,1
β
8.877,1
9.867,1
β
9.867,1
9.867,1
β
9.867,1
0.594,1
β
0.594,1
lortnoC doolF
5.111,6
β
5.111,6
5.490,2
β
5.490,2
5.490,2
β
5.490,2
3.744,1
β
3.744,1
ygrenE
.5
5.032
β
5.032
5.331
β
5.331
5.331
β
5.331
2.45
β
2.45
)vi ot i( slareniM dna yrtsudnI
.6
0.922
β
0.922
5.031
β
5.031
5.031
β
5.031
0.05
β
0.05
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
5.1
β
5.1
0.3
β
0.3
0.3
β
0.3
2.4
β
2.4
seirtsudnI lacigrullateM
β
β
β
β
β
β
β
β
β
β
β
β
# srehtO
)vi
8.395,4
β
8.395,4
0.993,3
β
0.993,3
0.993,3
β
0.993,3
1.463,2
β
1.463,2
)ii + i( tropsnarT
.7
3.054,3
β
3.054,3
5.710,3
β
5.710,3
5.710,3
β
5.710,3
1.792,2
β
1.792,2
segdirB dna sdaoR
)i
5.341,1
β
5.341,1
5.183
β
5.183
5.183
β
5.183
9.66
β
9.66
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
266
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
AOG
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.013
β
0.013
0.71
β
0.71
β
β
β
4.03
β
4.03
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
5.269
β
5.269
5.657
β
5.657
5.377
β
5.377
7.317
β
7.317
)ii +
i( secivreS
cimonocE
lareneG.01
5.269
β
5.269
5.657
β
5.657
5.657
β
5.657
7.317
β
7.317
msiruoT
)i
β
β
β
β
β
β
0.71
β
0.71
β
β
β
@@ srehtO
)ii
6.299,8
β
6.299,8
0.293,3
β
0.293,3
0.244,3
β
0.244,3
3.059,1
β
3.059,1
)secivreS
lareneG( tnempoleveD-noN
.2
9.655,4
9.655,4
β
1.819,3
1.819,3
β
1.819,3
1.819,3
β
7.195,3
7.195,3
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
7.356,1
7.356,1
β
6.923,1
6.923,1
β
6.923,1
6.923,1
β
6.680,1
6.680,1
β
snaoL tekraM
.1
5.61
5.61
β
0.71
0.71
β
0.71
0.71
β
9.91
9.91
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
2.808
2.808
β
2.035
2.035
β
2.035
2.035
β
7.505
7.505
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
7.1
7.1
β
5.3
5.3
β
5.3
5.3
β
4.1
4.1
β
noitaroproC
0.005
0.005
β
0.005
0.005
β
0.005
0.005
β
9.625
9.625
β
IBR morf AMW
.6
8.664,1
8.664,1
β
2.973,1
2.973,1
β
2.973,1
2.973,1
β
9.923,1
9.923,1
β
FSSN
ot deussi seitiruceS
laicepS
.7
0.011
0.011
β
6.851
6.851
β
6.851
6.851
β
2.121
2.121
β
srehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
1.192
1.192
β
6.982
6.982
β
6.982
6.982
β
9.852
9.852
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
0.972
0.972
β
5.772
5.772
β
5.772
5.772
β
8.742
8.742
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
1.0
1.0
β
1.0
1.0
β
1.0
1.0
β
β
β
β
semehcS
nalP lartneC
.2
0.1
0.1
β
0.1
0.1
β
0.1
0.1
β
β
β
β
semehcS derosnopS
yllartneC
.3
0.11
0.11
β
0.11
0.11
β
0.11
0.11
β
1.11
1.11
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
0.11
0.11
β
0.11
0.11
β
0.11
0.11
β
1.11
1.11
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
2.971
3.15
9.721
2.741
0.43
2.311
0.851
0.43
0.421
5.24
9.04
6.1
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
1.831
2.01
9.721
4.321
2.01
2.311
2.431
2.01
0.421
6.61
0.51
6.1
)b
+ a( sesopruP
tnempoleveD
.1
2.011
2.01
0.001
2.011
2.01
0.001
2.011
2.01
0.001
0.51
0.51
β
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
0.001
β
0.001
0.001
β
0.001
0.001
β
0.001
β
β
β
gnisuoH .5
0.01
0.01
β
0.01
0.01
β
0.01
0.01
β
0.51
0.51
β
)gnisuoH(
stnavreS tnemnrevoG
.6
2.0
2.0
β
2.0
2.0
β
2.0
2.0
β
β
β
β
srehtO .7
9.72
β
9.72
2.31
β
2.31
0.42
β
0.42
6.1
β
6.1
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
7.71
β
7.71
6.2
β
6.2
4.31
β
4.31
6.1
β
6.1
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
β
β
β
β
β
β
β
β
β
β
β
β
stcejorP
rewoP .6Appendix IV
267
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
AOG
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.0
β
2.0
6.0
β
6.0
6.0
β
6.0
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
0.01
β
0.01
0.01
β
0.01
0.01
β
0.01
β
β
β
srehtO.01
1.14
1.14
β
8.32
8.32
β
8.32
8.32
β
9.52
9.52
β
)b + a(
sesopruP tnempoleveD-noN
.2
1.14
1.14
β
8.32
8.32
β
8.32
8.32
β
9.52
9.52
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
1.723,2
1.723,2
β
1.047,1
1.047,1
β
1.047,1
1.047,1
β
6.613,2
6.613,2
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
2.113,2
2.113,2
β
0.527,1
0.527,1
β
0.527,1
0.527,1
β
5.892,2
5.892,2
β
sdnuF tnedivorP
etatS
.1
9.51
9.51
β
1.51
1.51
β
1.51
1.51
β
1.81
1.81
β
srehtO
.2
1.392,1
1.392,1
β
5.132,1
5.132,1
β
5.132,1
5.132,1
β
0.980,1
0.980,1
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
2.534
2.534
β
5.414
5.414
β
5.414
5.414
β
5.214
5.214
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
8.758
8.758
β
0.718
0.718
β
0.718
0.718
β
5.676
5.676
β
srehtO
.4
6.856,1
6.856,1
β
6.975,1
6.975,1
β
6.975,1
6.975,1
β
8.966,1
8.966,1
β
)4 ot 1( secnavdA dna
stisopeD
.XI
5.373,1
5.373,1
β
1.803,1
1.803,1
β
1.803,1
1.803,1
β
2.614,1
2.614,1
β
stisopeD
liviC
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF lacoL fo stisopeD
.2
1.641
1.641
β
2.931
2.931
β
2.931
2.931
β
6.521
6.521
β
secnavdA
liviC
.3
9.831
9.831
β
3.231
3.231
β
3.231
3.231
β
0.821
0.821
β
srehtO
.4
4.263,351
4.263,351
β
4.950,641
4.950,641
β
4.950,641
4.950,641
β
3.936,88
3.936,88
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
9.057,2
9.057,2
β
9.916,2
9.916,2
β
9.916,2
9.916,2
β
0.550,2
0.550,2
β
esnepsuS
.1
3.972,011
3.972,011
β
9.720,501
9.720,501
β
9.720,501
9.720,501
β
5.085,34
5.085,34
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
2.233,04
2.233,04
β
6.114,83
6.114,83
β
6.114,83
6.114,83
β
8.300,34
8.300,34
β
srehtO
.4
β
β
β
0.000,2
0.000,2
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
9.768,83
9.768,83
β
1.710,73
1.710,73
β
1.710,73
1.710,73
β
3.421,13
3.421,13
β
secnattimeR.IIX
8.180,4
4.164
8.39-
1.535,3-
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
4.577,61-
8.638,4-
7.042,3-
6.186,3
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
6.396,21-
3.573,4-
5.433,3-
5.641
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
6.396,21-
3.573,4-
5.433,3-
5.641
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
0.785,11-
4.123,3-
6.082,2-
7.051
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
5.521,3-
9.591
6.608,7-
2.54
ecnalaB gninepO
)a
5.217,41-
5.521,3-
1.780,01-
9.591
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
6.601,1-
9.350,1-
9.350,1-
2.4-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
268
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
TARAJUG
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.319,377,1
1.870,974,1
9.438,492
2.912,737,1
1.475,464,1
0.546,272
9.297,657,1
5.135,064,1
3.162,692
9.496,886,2
5.258,064,2
4.248,722
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
5.023,553
6.584,06
9.438,492
6.329,823
6.872,65
0.546,272
2.897,253
8.635,65
3.162,692
3.026,492
9.777,66
4.248,722
$)stnuoccA
cilbuP
gnidulcxE(
4.636,982
5.048
9.597,882
3.790,962
5.838
7.852,862
4.496,092
1.900,1
3.586,982
7.377,622
1.344,4
6.033,222
)2 + 1( yaltuO
latipaC
latoT
.I
3.287,772
2.681
1.695,772
2.369,852
4.502
8.757,852
2.380,772
3.602
9.678,672
7.806,812
9.317,1
8.498,612
)b + a( tnempoleveD
.1
9.063,39
0.581
9.571,39
2.949,08
0.002
2.947,08
9.998,99
2.002
8.996,99
1.105,66
0.386,1
1.818,46
)9 ot 1( secivreS
laicoS
)a(
4.240,32
β
4.240,32
7.323,61
β
7.323,61
1.861,23
β
1.861,23
0.308,11
3.243
7.064,11
erutluC
dna trA ,stropS ,noitacudE
.1
1.569,12
β
1.569,12
3.925,02
β
3.925,02
3.445,02
β
3.445,02
2.860,61
β
2.860,61
htlaeH cilbuP dna lacideM
.2
7.261
β
7.261
1.303
β
1.303
1.303
β
1.303
8.802
β
8.802
erafleW ylimaF
.3
0.509,12
β
0.509,12
0.525,32
β
0.525,32
8.782,32
β
8.782,32
5.702,41
β
5.702,41
noitatinaS dna ylppuS retaW
.4
8.828,5
0.581
8.346,5
1.011,5
0.002
1.019,4
0.422,6
0.002
0.420,6
9.343,2
8.682
1.750,2
gnisuoH
.5
0.048,8
β
0.048,8
8.697,4
β
8.697,4
2.096,4
β
2.096,4
5.268,21
β
5.268,21
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
3.880,5
β
3.880,5
3.844,4
β
3.844,4
0.783,5
β
0.783,5
7.704,2
0.202
6.502,2
sessalC
drawkcaB rehtO dna sebirT
8.09
β
8.09
6.29
β
6.29
6.18
β
5.18
0.32
β
0.32
erafleW dna ytiruceS laicoS
.8
7.734,6
β
7.734,6
4.028,5
β
4.028,5
0.412,7
2.0
8.312,7
5.675,6
9.158
6.427,5
* srehtO
.9
4.124,481
2.1
2.024,481
0.410,871
4.5
6.800,871
2.381,771
1.6
1.771,771
6.701,251
9.03
7.670,251
)01 ot 1( secivreS cimonocE)b(
0.412,11
β
0.412,11
2.532,7
β
2.532,7
8.796,01
β
8.796,01
3.745,8
6.53
8.115,8
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
7.690,1
β
7.690,1
7.203
β
7.203
1.112,2
β
1.112,2
2.651
β
2.651
yrdnabsuH porC
)i
6.711,1
β
6.711,1
4.068
β
4.068
7.519
β
7.519
6.577,1
β
6.577,1
noitavresnoC retaW dna lioS
)ii
0.125
β
0.125
8.331
β
8.331
0.163
β
0.163
9.601
β
9.601
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
β
β
β
β
β
β
β
β
β
1.0-
β
1.0-
seirehsiF
)v
1.512,6
β
1.512,6
1.994,5
β
1.994,5
0.656,5
β
0.656,5
5.442,6
7.43
8.902,6
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
8.645,1
β
8.645,1
0.891
β
0.891
5.623,1
β
5.623,1
9.001
9.0
0.001
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
2.0
β
2.0
8.31
β
8.31
2.0
β
2.0
2.52
β
2.52
noitarepo-oC
)x
6.617
β
6.617
3.722
β
3.722
4.722
β
4.722
1.831
β
1.831
@ srehtO
)ix
5.296,11
β
5.296,11
4.386,11
β
4.386,11
0.507,11
β
0.507,11
5.809,9
1.7-
6.519,9
tnempoleveD laruR
.2
5.162
β
5.162
5.643
β
5.643
0.942
β
0.942
8.962
β
8.962
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
8.853,09
β
8.853,09
8.429,98
β
8.429,98
6.521,68
β
6.521,68
4.448,76
β
4.448,76
lortnoC doolF
4.295,92
β
4.295,92
8.698,12
β
8.698,12
8.620,91
β
8.620,91
4.852,91
β
4.852,91
ygrenE
.5
4.363,2
β
4.363,2
6.361,9
9.4
7.851,9
4.916,11
9.4
5.416,11
4.359,7
6.1
8.159,7
)vi ot i( slareniM dna yrtsudnI
.6
2.85
β
2.85
1.35
9.4
2.84
5.49
9.4
6.98
4.83
6.1
8.63
seirtsudnI llamS dna egalliV
)i
0.001,1
β
0.001,1
0.525
β
0.525
4.939,2
β
4.939,2
0.052
β
0.052
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
1.55
β
1.55
3.06
β
3.06
3.06
β
3.06
5.901
β
5.901
seirtsudnI lacigrullateM
1.051,1
β
1.051,1
1.525,8
β
1.525,8
2.525,8
β
2.525,8
5.555,7
β
5.555,7
# srehtO
)vi
4.971,43
β
4.971,43
4.147,23
β
4.147,23
1.134,13
β
1.134,13
1.547,33
β
1.547,33
)ii + i( tropsnarT
.7
7.405,72
β
7.405,72
8.340,62
β
8.340,62
2.145,42
β
2.145,42
6.430,62
β
6.430,62
segdirB dna sdaoR
)i
6.476,6
β
6.476,6
5.796,6
β
5.796,6
9.988,6
β
9.988,6
5.017,7
β
5.017,7
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
269
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
TARAJUG
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
0.01
β
0.01
0.01
β
0.01
8.08
β
8.08
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
5.957,4
2.1
3.857,4
3.210,5
5.0
8.110,5
5.813,6
2.1
3.713,6
9.994,4
8.0
1.994,4
)ii +
i( secivreS
cimonocE
lareneG.01
0.556,4
β
0.556,4
5.600,5
β
5.600,5
0.012,6
β
0.012,6
4.494,4
β
4.494,4
msiruoT
)i
5.401
2.1
3.301
8.5
5.0
3.5
5.801
2.1
3.701
5.5
8.0
7.4
@@ srehtO
)ii
1.458,11
3.456
8.991,11
0.431,01
1.336
9.005,9
2.116,31
8.208
4.808,21
0.561,8
2.927,2
8.534,5
)secivreS
lareneG( tnempoleveD-noN
.2
9.085,25
9.085,25
β
0.225,84
0.225,84
β
0.225,84
0.225,84
β
2.674,55
2.674,55
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
1.459,61
1.459,61
β
7.947,61
7.947,61
β
7.947,61
7.947,61
β
8.754,42
8.754,42
β
snaoL tekraM
.1
β
β
β
β
β
β
β
β
β
β
β
β
CIL morf snaoL
.2
4.322
4.322
β
7.422
7.422
β
7.422
7.422
β
7.422
7.422
β
sknaB
rehto dna
IBS morf snaoL
.3
2.0
2.0
β
2.0
2.0
β
2.0
2.0
β
2.0
2.0
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
β
β
β
β
β
β
β
β
β
β
β
β
noitaroproC
0.01
0.01
β
0.01
0.01
β
0.01
0.01
β
β
β
β
IBR morf AMW
.6
4.509,42
4.509,42
β
1.199,22
1.199,22
β
1.199,22
1.199,22
β
6.556,22
6.556,22
β
FSSN
ot deussi seitiruceS
laicepS
.7
9.784,01
9.784,01
β
3.645,8
3.645,8
β
3.645,8
3.645,8
β
9.731,8
9.731,8
β
srehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
0.496,6
0.496,6
β
6.795,6
6.795,6
β
6.795,6
6.795,6
β
8.265,6
8.265,6
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
5.856,6
5.856,6
β
1.265,6
1.265,6
β
1.265,6
1.265,6
β
4.525,6
4.525,6
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
5.53
5.53
β
5.53
5.53
β
5.53
5.53
β
3.73
3.73
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
5.53
5.53
β
5.53
5.53
β
5.53
5.53
β
3.73
3.73
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
6.246,6
5.306
0.930,6
4.149,4
1.555
3.683,4
9.812,7
8.246
0.675,6
3.230,6
5.025
8.115,5
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
0.002,6
0.161
0.930,6
4.805,4
1.221
3.683,4
8.967,6
7.391
0.675,6
0.506,5
2.39
8.115,5
)b
+ a( sesopruP
tnempoleveD
.1
0.535,1
0.161
0.473,1
9.125
1.221
8.993
6.085
7.391
9.683
1.092
2.39
9.691
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
0.161
0.161
β
1.221
1.221
β
7.391
7.391
β
2.39
2.39
β
)gnisuoH(
stnavreS tnemnrevoG
.6
0.473,1
β
0.473,1
8.993
β
8.993
9.683
β
9.683
9.691
β
9.691
srehtO .7
0.566,4
β
0.566,4
5.689,3
β
5.689,3
1.981,6
β
1.981,6
9.413,5
β
9.413,5
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
5.44
β
5.44
5.94
β
5.94
β
β
β
β
β
β
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
0.050,1
β
0.050,1
0.782,1
β
0.782,1
7.831,1
β
7.831,1
1.59
β
1.59
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
270
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
TARAJUG
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.0
β
5.0
β
β
β
4.0
β
4.0
1.0
β
1.0
seirtsudnI
llamS dna egalliV
.7
0.01
β
0.01
0.05
β
0.05
0.05
β
0.05
3.691
β
3.691
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
0.065,3
β
0.065,3
0.006,2
β
0.006,2
0.000,5
β
0.000,5
4.320,5
β
4.320,5
srehtO.01
5.244
5.244
β
1.334
1.334
β
1.944
1.944
β
3.724
3.724
β
)b + a(
sesopruP tnempoleveD-noN
.2
9.01
9.01
β
5.51
5.51
β
0.21
0.21
β
7.1
7.1
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
6.134
6.134
β
5.714
5.714
β
1.734
1.734
β
6.524
6.524
β
suoenallecsiM
)b
1.0
1.0
β
1.0
1.0
β
1.0
1.0
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
8.504
8.504
β
9.9
9.9
β
1.1
1.1
β
dnuF ycnegnitnoC
.IV
7.731,32
7.731,32
β
2.188,02
2.188,02
β
2.188,02
2.188,02
β
1.074,51
1.074,51
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
2.554,12
2.554,12
β
7.891,91
7.891,91
β
7.891,91
7.891,91
β
3.983,41
3.983,41
β
sdnuF tnedivorP
etatS
.1
5.286,1
5.286,1
β
5.286,1
5.286,1
β
5.286,1
5.286,1
β
8.080,1
8.080,1
β
srehtO
.2
0.839,91
0.839,91
β
0.899,91
0.899,91
β
8.805,22
8.805,22
β
4.205,6
4.205,6
β
)4 ot 1( sdnuF
evreseR.IIIV
0.51
0.51
β
0.51
0.51
β
0.51
0.51
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
0.000,5
0.000,5
β
0.000,5
0.000,5
β
0.000,7
0.000,7
β
1.0
1.0
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
0.329,41
0.329,41
β
0.389,41
0.389,41
β
8.394,51
8.394,51
β
3.205,6
3.205,6
β
srehtO
.4
8.790,313
8.790,313
β
5.206,403
5.206,403
β
7.944,503
7.944,503
β
1.186,223
1.186,223
β
)4 ot 1( secnavdA dna
stisopeD
.XI
9.319,65
9.319,65
β
2.323,94
2.323,94
β
2.323,15
2.323,15
β
7.527,65
7.527,65
β
stisopeD
liviC
.1
9.239,542
9.239,542
β
7.512,742
7.512,742
β
5.260,642
5.260,642
β
0.437,552
0.437,552
β
sdnuF lacoL fo stisopeD
.2
8.001,3
8.001,3
β
8.001,3
8.001,3
β
8.001,3
8.001,3
β
4.439,4
4.439,4
β
secnavdA
liviC
.3
2.051,7
2.051,7
β
8.269,4
8.269,4
β
2.369,4
2.369,4
β
0.782,5
0.782,5
β
srehtO
.4
0.372,820,1
0.372,820,1
β
7.062,820,1
7.062,820,1
β
0.542,820,1
0.542,820,1
β
9.813,598,1
9.813,598,1
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
2.43
2.43
β
9.12
9.12
β
9.12
9.12
β
0.25
0.25
β
esnepsuS
.1
0.000,01
0.000,01
β
0.000,01
0.000,01
β
0.000,01
0.000,01
β
0.714,398,1
0.714,398,1
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
5.136,084
5.136,084
β
5.136,084
5.136,084
β
5.136,084
5.136,084
β
β
β
β
IBR htiw stisopeD
.3
3.706,735
3.706,735
β
3.706,735
3.706,735
β
6.195,735
6.195,735
β
9.948,1
9.948,1
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
6.219,33
6.219,33
β
6.219,33
6.219,33
β
3.566,62
3.566,62
β
4.678,351
4.678,351
β
secnattimeR.IIX
7.480,37
8.078,36
1.863,86
0.271,74
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
1.538,17-
1.403,64-
6.956,26-
0.700,67-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
6.942,1
7.665,71
6.807,5
0.538,82-
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
5.942,1
6.665,71
5.807,5
1.538,82-
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
5.942,1
6.665,71
5.807,5
6.094,41-
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
3.652
3.013,71-
7.092,2
7.918,2-
ecnalaB gninepO
)a
8.505,1
3.652
2.999,7
3.013,71-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
β
β
β
5.443,41-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
271
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
ANAYRAH
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
6.393,120,1
9.865,059
6.428,07
0.338,558
8.915,297
2.313,36
0.567,037
4.805,766
6.652,36
4.978,838
7.872,387
7.006,55
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
8.150,89
2.722,72
6.428,07
4.335,88
2.022,52
2.313,36
7.322,29
0.769,82
6.652,36
5.514,07
8.418,41
7.006,55
$)stnuoccA
cilbuP
gnidulcxE(
0.930,95
0.935,2-
0.875,16
7.586,55
2.730,2-
9.227,75
1.174,75
3.791
8.372,75
0.643,93
2.123,11-
2.766,05
)2 + 1( yaltuO
latipaC
latoT
.I
4.294,55
0.935,2-
4.130,85
2.564,25
2.730,2-
4.205,45
1.993,45
3.791
8.102,45
5.425,63
2.123,11-
6.548,74
)b + a( tnempoleveD
.1
8.845,82
β
8.845,82
3.678,32
β
3.678,32
7.065,42
β
7.065,42
5.932,81
β
5.932,81
)9 ot 1( secivreS
laicoS
)a(
5.345,2
β
5.345,2
1.151,2
β
1.151,2
3.291,2
β
3.291,2
9.985,1
β
9.985,1
erutluC
dna trA ,stropS ,noitacudE
.1
0.393
β
0.393
0.349
β
0.349
0.340,1
β
0.340,1
3.894
β
3.894
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
2.243,01
β
2.243,01
0.760,11
β
0.760,11
0.200,01
β
0.200,01
8.377,01
β
8.377,01
noitatinaS dna ylppuS retaW
.4
0.003,1
β
0.003,1
0.562
β
0.562
0.003
β
0.003
9.853
β
9.853
gnisuoH
.5
0.052,01
β
0.052,01
0.014,5
β
0.014,5
0.000,8
β
0.000,8
6.378,3
β
6.378,3
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
0.63
β
0.63
2.23
β
2.23
2.23
β
2.23
5.21
β
5.21
sessalC
drawkcaB rehtO dna sebirT
1.862,2
β
1.862,2
6.622,2
β
6.622,2
6.937,1
β
6.937,1
3.91
β
3.91
erafleW dna ytiruceS laicoS
.8
1.614,1
β
1.614,1
5.187,1
β
5.187,1
6.152,1
β
6.152,1
3.311,1
β
3.311,1
* srehtO
.9
6.349,62
0.935,2-
6.284,92
9.885,82
2.730,2-
0.626,03
4.838,92
3.791
1.146,92
0.582,81
2.123,11-
1.606,92
)01 ot 1( secivreS cimonocE)b(
4.795,1-
5.345,2-
1.649
7.230,1-
7.140,2-
9.800,1
2.703,1
8.291
4.411,1
0.757,01-
5.523,11-
5.865
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
0.002
β
0.002
0.002
β
0.002
0.002
β
0.002
5.94
β
5.94
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
5.81
β
5.81
3.2
β
3.2
5.2
β
5.2
β
β
β
seirehsiF
)v
β
β
β
β
β
β
β
β
β
β
β
β
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
5.343,2-
5.345,2-
0.002
7.110,2-
7.140,2-
0.03
8.296
8.291
0.005
3.452,11-
5.523,11-
2.17
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
6.725
β
6.725
6.677
β
6.677
9.114
β
9.114
9.744
β
9.744
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
0.200,6
β
0.200,6
9.075,5
β
9.075,5
4.206,5
β
4.206,5
0.380,9
β
0.380,9
lortnoC doolF
0.000,3
β
0.000,3
0.000,4
β
0.000,4
0.000,5
β
0.000,5
8.000,1
β
8.000,1
ygrenE
.5
5.67
β
5.67
2.21
β
2.21
3.21
β
3.21
5.06
β
5.06
)vi ot i( slareniM dna yrtsudnI
.6
0.47
β
0.47
0.01
β
0.01
0.01
β
0.01
0.05
β
0.05
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
5.2
β
5.2
2.2
β
2.2
3.2
β
3.2
5.01
β
5.01
# srehtO
)vi
5.341,91
5.4
0.931,91
5.327,91
5.4
0.917,91
5.106,71
5.4
0.795,71
8.496,81
3.4
5.096,81
)ii + i( tropsnarT
.7
0.002,71
β
0.002,71
5.610,81
β
5.610,81
5.139,51
β
5.139,51
8.534,71
β
8.534,71
segdirB dna sdaoR
)i
5.349,1
5.4
0.939,1
0.707,1
5.4
5.207,1
0.076,1
5.4
5.566,1
0.952,1
3.4
7.452,1
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
272
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
ANAYRAH
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
0.913
β
0.913
0.513
β
0.513
0.513
β
0.513
9.202
β
9.202
)ii +
i( secivreS
cimonocE
lareneG.01
0.913
β
0.913
0.513
β
0.513
0.513
β
0.513
9.202
β
9.202
msiruoT
)i
β
β
β
β
β
β
β
β
β
β
β
β
@@ srehtO
)ii
6.645,3
β
6.645,3
5.022,3
β
5.022,3
0.270,3
β
0.270,3
6.128,2
β
6.128,2
)secivreS
lareneG( tnempoleveD-noN
.2
7.990,99
7.990,99
β
2.512,501
2.512,501
β
9.561,631
9.561,631
β
7.880,97
7.880,97
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
8.613,9
8.613,9
β
1.072,8
1.072,8
β
1.072,8
1.072,8
β
2.842,8
2.842,8
β
snaoL tekraM
.1
8.7
8.7
β
8.01
8.01
β
1.11
1.11
β
0.91
0.91
β
CIL morf snaoL
.2
0.000,56
0.000,56
β
6.822,36
6.822,36
β
0.067,39
0.067,39
β
4.173,65
4.173,65
β
sknaB
rehto dna
IBS morf snaoL
.3
7.546,2
7.546,2
β
7.294,2
7.294,2
β
0.583,2
0.583,2
β
8.473,2
8.473,2
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
1.132
1.132
β
1.181
1.181
β
3.502
3.502
β
3.09
3.09
β
noitaroproC
0.010,01
0.010,01
β
0.010,02
0.010,02
β
0.000,02
0.000,02
β
9.780,1
9.780,1
β
IBR morf AMW
.6
6.148,5
6.148,5
β
6.834,5
6.834,5
β
9.834,5
9.834,5
β
3.583,5
3.583,5
β
FSSN
ot deussi seitiruceS
laicepS
.7
6.640,6
6.640,6
β
3.385,5
3.385,5
β
6.590,6
6.590,6
β
9.115,5
9.115,5
β
srehtO
.8
3.220,2
3.220,2
β
3.220,2
3.220,2
β
3.220,2
3.220,2
β
3.220,2
3.220,2
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
3.552,1
3.552,1
β
7.942,1
7.942,1
β
6.233,2
6.233,2
β
9.386,1
9.386,1
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
6.632,1
6.632,1
β
9.922,1
9.922,1
β
4.923,2
4.923,2
β
0.146,1
0.146,1
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
7.81
7.81
β
8.91
8.91
β
2.3
2.3
β
0.34
0.34
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
7.81
7.81
β
8.91
8.91
β
2.3
2.3
β
0.34
0.34
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
7.766,31
1.124,4
6.642,9
5.126,9
2.130,4
3.095,5
0.410,01
2.130,4
8.289,5
1.657,7
6.228,2
5.339,4
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
6.643,11
0.001,2
6.642,9
3.055,7
0.069,1
3.095,5
8.268,7
0.088,1
8.289,5
9.845,6
4.516,1
5.339,4
)b
+ a( sesopruP
tnempoleveD
.1
0.011,2
0.001,2
0.01
0.050,2
0.069,1
0.09
0.079,1
0.088,1
0.09
4.516,1
4.516,1
β
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
0.011,2
0.001,2
0.01
0.050,2
0.069,1
0.09
0.079,1
0.088,1
0.09
4.516,1
4.516,1
β
)gnisuoH(
stnavreS tnemnrevoG
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO .7
6.632,9
β
6.632,9
3.005,5
β
3.005,5
8.298,5
β
8.298,5
5.339,4
β
5.339,4
)01
ot 1( secivreS
cimonocE
)b
1.0
β
1.0
β
β
β
1.0
β
1.0
4.75
β
4.75
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
5.611
β
5.611
3.091,1
β
3.091,1
5.233
β
5.233
9.753
β
9.753
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
0.000,6
β
0.000,6
0.052,2
β
0.052,2
2.005,3
β
2.005,3
8.809,2
β
8.809,2
stcejorP
rewoP .6Appendix IV
273
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
ANAYRAH
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.002
β
0.002
0.051
β
0.051
0.051
β
0.051
0.001
β
0.001
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
0.02
β
0.02
0.01
β
0.01
0.01
β
0.01
4.9
β
4.9
tnempoleveD laruR
.9
0.009,2
β
0.009,2
0.009,1
β
0.009,1
0.009,1
β
0.009,1
0.005,1
β
0.005,1
srehtO.01
1.123,2
1.123,2
β
2.170,2
2.170,2
β
2.151,2
2.151,2
β
2.702,1
2.702,1
β
)b + a(
sesopruP tnempoleveD-noN
.2
1.123,2
1.123,2
β
2.170,2
2.170,2
β
2.151,2
2.151,2
β
2.702,1
2.702,1
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
0.087,32
0.087,32
β
0.050,12
0.050,12
β
0.033,42
0.033,42
β
2.877,71
2.877,71
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
0.714,32
0.714,32
β
0.027,02
0.027,02
β
0.000,42
0.000,42
β
4.084,71
4.084,71
β
sdnuF tnedivorP
etatS
.1
0.363
0.363
β
0.033
0.033
β
0.033
0.033
β
8.792
8.792
β
srehtO
.2
5.757,8
5.757,8
β
1.891,81
1.891,81
β
1.383,7
1.383,7
β
1.290,5
1.290,5
β
)4 ot 1( sdnuF
evreseR.IIIV
0.591
0.591
β
0.592
0.592
β
0.223
0.223
β
0.006
0.006
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
0.052,5
0.052,5
β
8.399,6
8.399,6
β
3.440,4
3.440,4
β
1.058
1.058
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
5.213,3
5.213,3
β
3.909,01
3.909,01
β
8.610,3
8.610,3
β
0.246,3
0.246,3
β
srehtO
.4
3.613,161
3.613,161
β
5.057,59
5.057,59
β
0.782,79
0.782,79
β
7.095,541
7.095,541
β
)4 ot 1( secnavdA dna
stisopeD
.XI
0.079,61
0.079,61
β
7.439,42
7.439,42
β
0.384,82
0.384,82
β
4.722,62
4.722,62
β
stisopeD
liviC
.1
3.991
3.991
β
0.281
0.281
β
0.463
0.463
β
5.101
5.101
β
sdnuF lacoL fo stisopeD
.2
0.033
0.033
β
0.003
0.003
β
0.045
0.045
β
3.442
3.442
β
secnavdA
liviC
.3
0.718,341
0.718,341
β
8.333,07
8.333,07
β
0.009,76
0.009,76
β
5.710,911
5.710,911
β
srehtO
.4
0.579,365
0.579,365
β
3.260,764
3.260,764
β
3.931,023
3.931,023
β
0.923,764
0.923,764
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
9.803,6
9.803,6
β
0.091,6
0.091,6
β
0.914,611
0.914,611
β
4.831,6
4.831,6
β
esnepsuS
.1
2.432,755
2.432,755
β
9.774,064
9.774,064
β
0.083,202
0.083,202
β
9.138,064
9.138,064
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
9.134
9.134
β
5.493
5.493
β
3.043,1
3.043,1
β
7.853
7.853
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
0.305,09
0.305,09
β
0.000,28
0.000,28
β
0.246,57
0.246,57
β
6.412,57
6.412,57
β
secnattimeR.IIX
2.575,59-
6.999,49-
7.521,05-
2.057,83-
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
9.809,211
8.918,87
3.075,64
9.693,76
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
7.333,71
8.971,61-
4.555,3-
7.646,82
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
7.333,71
8.971,61-
4.555,3-
7.646,82
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
8.791-
3.894,4
9.911-
8.271,8-
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
8.420,2-
1.325,6-
3.603-
7.946,1
ecnalaB gninepO
)a
7.222,2-
8.420,2-
2.624-
1.325,6-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
5.135,71
0.876,02-
5.534,3-
5.918,63
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
274
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
HSEDARP
LAHCAMIH
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.682,87
9.537,74
3.055,03
5.034,231
1.524,301
5.500,92
4.470,86
9.912,54
5.458,22
9.256,762
4.083,442
5.272,32
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
3.905,84
0.959,71
3.055,03
8.594,44
4.094,51
5.500,92
5.792,83
0.344,51
5.458,22
0.781,93
5.419,51
5.272,32
$)stnuoccA
cilbuP
gnidulcxE(
8.605,92
1.077,2
7.637,62
6.672,52
0.305
6.377,42
7.715,91
0.472
7.342,91
6.855,81
4.214
2.641,81
)2 + 1( yaltuO
latipaC
latoT
.I
7.007,82
1.496,2
6.600,62
3.244,42
0.954
3.389,32
4.248,81
0.032
4.216,81
4.847,71
0.063
4.883,71
)b + a( tnempoleveD
.1
6.570,7
1.980,1
5.689,5
4.273,5
7.24
7.923,5
9.322,4
0.03
9.391,4
5.477,4
β
5.477,4
)9 ot 1( secivreS
laicoS
)a(
7.263,2
0.027
7.246,1
0.903,1
β
0.903,1
7.422,1
β
7.422,1
2.247,1
β
2.247,1
erutluC
dna trA ,stropS ,noitacudE
.1
4.267
β
4.267
7.796
7.21
0.586
8.956
β
8.956
1.927
β
1.927
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
3.504,3
0.002
3.502,3
9.339,2
β
9.339,2
9.369,1
β
9.369,1
9.709,1
β
9.709,1
noitatinaS dna ylppuS retaW
.4
8.743
1.951
7.881
3.991
β
3.991
3.791
β
3.791
0.881
β
0.881
gnisuoH
.5
9.11
β
9.11
0.51
β
0.51
0.51
β
0.51
7.9
β
7.9
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
6.77
β
6.77
4.911
β
4.911
0.19
β
0.19
1.041
β
1.041
sessalC
drawkcaB rehtO dna sebirT
0.69
0.01
0.68
1.48
0.02
1.46
5.65
0.02
5.63
5.05
β
5.05
erafleW dna ytiruceS laicoS
.8
0.21
β
0.21
0.41
0.01
0.4
8.51
0.01
8.5
0.7
β
0.7
* srehtO
.9
1.526,12
0.506,1
1.020,02
9.960,91
3.614
6.356,81
4.816,41
0.002
4.814,41
9.379,21
0.063
9.316,21
)01 ot 1( secivreS cimonocE)b(
4.015
β
4.015
3.893
β
3.893
0.253
β
0.253
5.964
6.701
9.163
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
8.53
β
8.53
7.83
β
7.83
6.34
β
6.34
7.16
6.7
1.45
yrdnabsuH porC
)i
7.823
β
7.823
0.202
β
0.202
6.022
β
6.022
1.202
β
1.202
noitavresnoC retaW dna lioS
)ii
5.25
β
5.25
5.201
β
5.201
1.53
β
1.53
4.14
β
4.14
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
4.9
β
4.9
0.31
β
0.31
7.31
β
7.31
4.81
β
4.81
seirehsiF
)v
5.04
β
5.04
5.83
β
5.83
4.53
β
4.53
2.24
β
2.24
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
8.14
β
8.14
8.1
β
8.1
8.1
β
8.1
7.101
0.001
7.1
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
8.1
β
8.1
8.1
β
8.1
8.1
β
8.1
0.2
β
0.2
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
0.5
β
0.5
3.6
β
3.6
3.6
β
3.6
β
β
β
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
0.546,4
0.052
0.593,4
4.440,5
β
4.440,5
2.874,2
β
2.874,2
2.249,1
β
2.249,1
lortnoC doolF
0.056,2
β
0.056,2
5.212,3
β
5.212,3
6.687,2
β
6.687,2
5.791,2
β
5.791,2
ygrenE
.5
0.456
0.002
0.454
4.073
β
4.073
9.371
β
9.371
0.461
β
0.461
)vi ot i( slareniM dna yrtsudnI
.6
0.456
0.002
0.454
4.073
β
4.073
9.371
β
9.371
0.461
β
0.461
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
β
β
β
β
β
β
β
β
β
β
β
β
# srehtO
)vi
8.319,11
0.530,1
8.878,01
5.261,9
3.614
2.647,8
9.700,8
0.002
9.708,7
5.004,7
4.252
1.841,7
)ii + i( tropsnarT
.7
6.682,11
0.510,1
6.172,01
8.385,8
3.614
5.761,8
8.854,7
0.002
8.852,7
9.468,6
4.252
5.216,6
segdirB dna sdaoR
)i
2.726
0.02
2.706
6.875
β
6.875
1.945
β
1.945
5.535
β
5.535
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
275
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
HSEDARP
LAHCAMIH
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
9.642,1
0.021
9.621,1
6.578
β
6.578
6.318
β
6.318
2.008
β
2.008
)ii +
i( secivreS
cimonocE
lareneG.01
0.03
β
0.03
2.22
β
2.22
4.22
β
4.22
3.02
β
3.02
msiruoT
)i
9.612,1
0.021
9.690,1
4.358
β
4.358
2.197
β
2.197
9.977
β
9.977
@@ srehtO
)ii
1.608
0.67
1.037
3.438
0.44
3.097
3.576
0.44
3.136
2.018
4.25
8.757
)secivreS
lareneG( tnempoleveD-noN
.2
3.543,41
3.543,41
β
3.462,27
3.462,27
β
2.164,41
2.164,41
β
7.093,61
7.093,61
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
5.558,7
5.558,7
β
6.341,7
6.341,7
β
6.341,7
6.341,7
β
9.401,6
9.401,6
β
snaoL tekraM
.1
3.883
3.883
β
3.184
3.184
β
3.184
3.184
β
1.284
1.284
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
0.040,3
0.040,3
β
0.046,2
0.046,2
β
0.046,2
0.046,2
β
7.903,2
7.903,2
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.06
0.06
β
9.323
9.323
β
6.35
6.35
β
2.94
2.94
β
noitaroproC
1.0
1.0
β
9.751,85
9.751,85
β
1.0
1.0
β
8.427,1
8.427,1
β
IBR morf AMW
.6
2.812,2
2.812,2
β
3.489,1
3.489,1
β
3.489,1
3.489,1
β
0.339,1
0.339,1
β
FSSN
ot deussi seitiruceS
laicepS
.7
2.387
2.387
β
2.335,1
2.335,1
β
3.851,2
3.851,2
β
0.787,3
0.787,3
β
srehtO
.8
2.07
2.07
β
2.07
2.07
β
2.07
2.07
β
2.07
2.07
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
4.286
4.286
β
6.566
6.566
β
4.846
4.846
β
0.256
0.256
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
6.576
6.576
β
6.356
6.356
β
7.636
7.636
β
7.636
7.636
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
8.6
8.6
β
9.11
9.11
β
7.11
7.11
β
4.51
4.51
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
8.6
8.6
β
9.11
9.11
β
7.11
7.11
β
4.51
4.51
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
9.479,3
3.161
6.318,3
3.744,4
5.512
9.132,4
3.076,3
5.95
8.016,3
5.013,5
3.481
3.621,5
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
4.719,3
8.301
6.318,3
9.714,4
3.681
6.132,4
8.316,3
0.3
8.016,3
0.682,5
1.061
9.521,5
)b
+ a( sesopruP
tnempoleveD
.1
4.76
8.3
6.36
3.58
8.22
6.26
8.36
0.3
8.06
2.78
0.1
2.68
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
0.02
0.02
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
4.52
β
4.52
gnisuoH .5
8.36
8.3
0.06
7.16
8.2
0.95
2.06
0.3
2.75
7.85
0.1
7.75
)gnisuoH(
stnavreS tnemnrevoG
.6
6.3
β
6.3
6.3
β
6.3
6.3
β
6.3
1.3
β
1.3
srehtO .7
0.058,3
0.001
0.057,3
6.233,4
5.361
1.961,4
0.055,3
β
0.055,3
8.891,5
1.951
7.930,5
)01
ot 1( secivreS
cimonocE
)b
0.05
0.05
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
β
β
β
9.244
β
9.244
β
β
β
5.763
β
5.763
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
0.057,3
β
0.057,3
2.627,3
β
2.627,3
0.055,3
β
0.055,3
2.276,4
β
2.276,4
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
276
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
HSEDARP
LAHCAMIH
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
0.05
0.05
β
5.361
5.361
β
β
β
β
1.951
1.951
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
β
β
β
β
β
β
β
β
β
β
β
β
srehtO.01
5.75
5.75
β
5.92
2.92
3.0
5.65
5.65
β
5.42
2.42
3.0
)b + a(
sesopruP tnempoleveD-noN
.2
5.75
5.75
β
5.92
2.92
3.0
5.65
5.65
β
5.42
2.42
3.0
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
0.000,31
0.000,31
β
0.000,31
0.000,31
β
0.000,31
0.000,31
β
1.658,81
1.658,81
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
0.057,21
0.057,21
β
0.057,21
0.057,21
β
0.057,21
0.057,21
β
5.437,81
5.437,81
β
sdnuF tnedivorP
etatS
.1
0.052
0.052
β
0.052
0.052
β
0.052
0.052
β
6.121
6.121
β
srehtO
.2
2.01
2.01
β
2.01
2.01
β
2.01
2.01
β
0.515,1
0.515,1
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
2.01
2.01
β
2.01
2.01
β
2.01
2.01
β
0.515,1
0.515,1
β
srehtO
.4
8.837,3
8.837,3
β
8.837,3
8.837,3
β
8.837,3
8.837,3
β
6.556,71
6.556,71
β
)4 ot 1( secnavdA dna
stisopeD
.XI
7.897
7.897
β
7.897
7.897
β
7.897
7.897
β
0.190,41
0.190,41
β
stisopeD
liviC
.1
0.051,2
0.051,2
β
0.051,2
0.051,2
β
0.051,2
0.051,2
β
7.275
7.275
β
sdnuF lacoL fo stisopeD
.2
0.527
0.527
β
0.527
0.527
β
0.527
0.527
β
1.602,1
1.602,1
β
secnavdA
liviC
.3
1.56
1.56
β
1.56
1.56
β
1.56
1.56
β
7.587,1
7.587,1
β
srehtO
.4
1.422,8
1.422,8
β
1.422,8
1.422,8
β
1.422,8
1.422,8
β
3.154,931
3.154,931
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
0.017,1
0.017,1
β
0.017,1
0.017,1
β
0.017,1
0.017,1
β
1.538,21
1.538,21
β
esnepsuS
.1
0.005,1
0.005,1
β
0.005,1
0.005,1
β
0.005,1
0.005,1
β
5.516,621
5.516,621
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
0.000,5
0.000,5
β
0.000,5
0.000,5
β
0.000,5
0.000,5
β
β
β
β
IBR htiw stisopeD
.3
1.41
1.41
β
1.41
1.41
β
1.41
1.41
β
7.0
7.0
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
7.308,4
7.308,4
β
7.308,4
7.308,4
β
7.308,4
7.308,4
β
1.362,94
1.362,94
β
secnattimeR.IIX
4.864
7.083,51-
5.416,23-
1.414,61-
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
4.864-
6.158,11
0.055,11
2.159,1-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
β
0.925,3-
5.460,12-
4.563,81-
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
β
0.925,3-
5.460,12-
4.563,81-
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
β
0.925,3-
5.460,12-
7.931,11-
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
1.400,21-
0.574,8-
5.552,6-
7.466,2
ecnalaB gninepO
)a
1.400,21-
1.400,21-
0.023,72-
0.574,8-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
β
β
β
7.466,2-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
9.065,4-
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
277
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
RIMHSAK
DNA
UMMAJ
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.954,022
6.298,58
β
9.952,222
7.217,821
2.745,39
5.895,241
6.026,95
8.779,28
7.319,383
2.191,243
4.227,14
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
4.450,211
8.437,41
β
2.602,411
0.956,02
2.745,39
3.578,301
4.798,02
8.779,28
7.252,95
3.035,71
4.227,14
$)stnuoccA
cilbuP
gnidulcxE(
6.444,69
β
β
1.435,001
8.689,6
2.745,39
4.325,98
5.545,6
8.779,28
5.860,54
1.643,3
4.227,14
)2 + 1( yaltuO
latipaC
latoT
.I
4.480,97
β
β
4.155,48
8.090,6
5.064,87
1.679,76
5.038,5
6.541,26
2.685,83
1.486,2
0.209,53
)b + a( tnempoleveD
.1
5.869,42
β
β
0.134,22
0.692,1
0.531,12
7.799,62
1.903,1
6.886,52
6.492,21
6.326
9.076,11
)9 ot 1( secivreS
laicoS
)a(
5.198,4
β
β
5.020,5
β
5.020,5
7.034,6
β
7.034,6
4.522,5
β
4.522,5
erutluC
dna trA ,stropS ,noitacudE
.1
8.673,7
β
β
5.750,6
β
5.750,6
0.763,3
β
0.763,3
4.533,2
β
4.533,2
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
0.087,4
β
β
7.120,5
β
7.120,5
0.088,4
β
0.088,4
8.143,1
β
8.143,1
noitatinaS dna ylppuS retaW
.4
5.22
β
β
0.07
β
0.07
1.85
β
1.85
4.64
β
4.64
gnisuoH
.5
2.462,5
β
β
9.638,2
5.706
4.922,2
5.682,7
5.706
0.976,6
0.161,2
β
0.161,2
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
8.354
β
β
3.564
β
3.564
9.547
β
9.547
1.67
β
1.67
sessalC
drawkcaB rehtO dna sebirT
6.077
β
β
1.733,1
5.886
6.846
5.521,2
6.107
9.324,1
6.846
6.326
0.52
erafleW dna ytiruceS laicoS
.8
1.904,1
β
β
9.126,1
β
9.126,1
1.401,2
β
1.401,2
9.954
β
9.954
* srehtO
.9
9.511,45
β
β
4.021,26
8.497,4
5.523,75
4.879,04
4.125,4
0.754,63
6.192,62
5.060,2
1.132,42
)01 ot 1( secivreS cimonocE)b(
4.551,7
β
β
7.722,6
3.260,2
4.561,4
5.804,5
9.887,1
6.916,3
2.499,3
4.335,1
8.064,2
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
2.978,3
β
β
0.220,3
7.46
3.759,2
4.684,2
3.97
2.704,2
5.504,1
8.171
7.332,1
yrdnabsuH porC
)i
3.32
β
β
3.32
β
3.32
3.32
β
3.32
9.601
β
9.601
noitavresnoC retaW dna lioS
)ii
7.184
β
β
8.323
β
8.323
4.513
β
4.513
5.472
β
5.472
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
4.16
β
β
7.88
β
7.88
4.601
β
4.601
5.29
β
5.29
seirehsiF
)v
0.764
β
β
9.805
β
9.805
4.105
β
4.105
9.115
β
9.115
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
9.989,1
β
β
6.020,2
6.799,1
0.32
7.227,1
7.907,1
0.31
0.683,1
6.163,1
4.42
gnisuoheraW
dna egarotS dooF)iiiv
0.081
β
β
0.081
β
0.081
0.081
β
0.081
0.59
β
0.59
noitacudE
dna hcraeseR larutlucirgA
)xi
9.27
β
β
4.06
β
4.06
9.27
β
9.27
0.221
β
0.221
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
4.480,31
β
β
1.325,51
5.237,2
6.097,21
9.450,11
5.237,2
4.223,8
8.020,2
3.335
6.784,1
tnempoleveD laruR
.2
0.005
β
β
3.19
β
3.19
β
β
β
5.923,2
2.6-
7.533,2
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
7.443,4
β
β
1.357,3
β
1.357,3
0.829,1
β
0.829,1
5.123,3
β
5.123,3
lortnoC doolF
1.758,3
β
β
1.729,3
β
1.729,3
1.758,3
β
1.758,3
3.908,3
β
3.908,3
ygrenE
.5
3.210,1
β
β
3.302,1
β
3.302,1
4.921,1
β
4.921,1
0.000,1
β
0.000,1
)vi ot i( slareniM dna yrtsudnI
.6
3.549
β
β
3.631,1
β
3.631,1
4.260,1
β
4.260,1
8.019
β
8.019
seirtsudnI llamS dna egalliV
)i
3.53
β
β
3.53
β
3.53
3.53
β
3.53
3.53
β
3.53
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
8.13
β
β
8.13
β
8.13
8.13
β
8.13
0.45
β
0.45
seirtsudnI lacigrullateM
β
β
β
β
β
β
β
β
β
β
β
β
# srehtO
)vi
0.590,9
β
β
0.095,8
β
0.095,8
0.095
β
0.095
3.429,3
β
3.429,3
)ii + i( tropsnarT
.7
0.050,9
β
β
0.545,8
β
0.545,8
0.545
β
0.545
8.319,3
β
8.319,3
segdirB dna sdaoR
)i
0.54
β
β
0.54
β
0.54
0.54
β
0.54
4.01
β
4.01
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
278
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
RIMHSAK
DNA
UMMAJ
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.421
β
β
0.521
β
0.521
9.133
β
9.133
5.611
β
5.611
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
5.249,41
β
β
8.976,22
β
8.976,22
5.876,61
β
5.876,61
4.577,5
β
4.577,5
)ii +
i( secivreS
cimonocE
lareneG.01
3.851,1
β
β
6.689
β
6.689
3.870,2
β
3.870,2
5.398,1
β
5.398,1
msiruoT
)i
1.487,31
β
β
1.396,12
β
1.396,12
2.006,41
β
2.006,41
9.188,3
β
9.188,3
@@ srehtO
)ii
2.063,71
β
β
7.289,51
0.698
7.680,51
3.745,12
0.517
3.238,02
3.284,6
9.166
4.028,5
)secivreS
lareneG( tnempoleveD-noN
.2
8.427,48
8.427,48
β
4.271,38
4.271,38
β
5.710,21
5.710,21
β
2.186,04
2.186,04
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
0.765,31
0.765,31
β
6.410,21
6.410,21
β
5.710,21
5.710,21
β
3.458,3
3.458,3
β
snaoL tekraM
.1
β
β
β
β
β
β
β
β
β
2.532,1
2.532,1
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
β
β
β
β
β
β
β
β
β
3.472,3
3.472,3
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
β
β
β
β
β
β
β
β
β
β
β
β
noitaroproC
8.751,17
8.751,17
β
8.751,17
8.751,17
β
β
β
β
0.994,82
0.994,82
β
IBR morf AMW
.6
β
β
β
β
β
β
β
β
β
0.916,1
0.916,1
β
FSSN
ot deussi seitiruceS
laicepS
.7
β
β
β
β
β
β
β
β
β
4.991,2
4.991,2
β
srehtO
.8
β
β
β
β
β
β
β
β
β
7.610,2
7.610,2
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
8.761,1
8.761,1
β
4.949
4.949
β
4.949
4.949
β
9.787
9.787
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
8.761,1
8.761,1
β
4.949
4.949
β
4.949
4.949
β
9.787
9.787
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
β
β
β
β
β
β
β
β
β
β
β
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
0.578
β
β
2.807
2.807
β
0.583,1
0.583,1
β
2.412,1
2.412,1
β
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
0.578
β
β
2.807
2.807
β
0.583,1
0.583,1
β
2.412,1
2.412,1
β
)b
+ a( sesopruP
tnempoleveD
.1
0.552
β
β
0.501
0.501
β
0.502
0.502
β
2.53
2.53
β
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
0.5
β
β
0.5
0.5
β
0.5
0.5
β
0.3
0.3
β
)gnisuoH(
stnavreS tnemnrevoG
.6
0.052
β
β
0.001
0.001
β
0.002
0.002
β
2.23
2.23
β
srehtO .7
0.026
β
β
2.306
2.306
β
0.081,1
0.081,1
β
9.871,1
9.871,1
β
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
β
β
β
β
β
β
β
β
β
β
β
β
stcejorP
rewoP .6Appendix IV
279
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
RIMHSAK
DNA
UMMAJ
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
0.023
β
β
2.303
2.303
β
0.087
0.087
β
4.147
4.147
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
0.003
β
β
0.003
0.003
β
0.004
0.004
β
5.734
5.734
β
srehtO.01
β
β
β
β
β
β
β
β
β
β
β
β
)b + a(
sesopruP tnempoleveD-noN
.2
β
β
β
β
β
β
β
β
β
β
β
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
5.5
5.5
β
dnuF ycnegnitnoC
.IV
3.096,32
β
β
3.096,32
3.096,32
β
3.096,32
3.096,32
β
1.792,81
1.792,81
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
3.015,32
β
β
3.015,32
3.015,32
β
3.015,32
3.015,32
β
4.121,71
4.121,71
β
sdnuF tnedivorP
etatS
.1
0.081
β
β
0.081
0.081
β
0.081
0.081
β
7.571,1
7.571,1
β
srehtO
.2
4.838,2
β
β
6.443,2
6.443,2
β
2.423,2
2.423,2
β
1.143,2
1.143,2
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
4.838,2
β
β
6.443,2
6.443,2
β
2.423,2
2.423,2
β
1.143,2
1.143,2
β
srehtO
.4
6.187,5
β
β
5.424,6
5.424,6
β
2.271,7
2.271,7
β
9.487,92
9.487,92
β
)4 ot 1( secnavdA dna
stisopeD
.XI
0.011
β
β
0.011
0.011
β
0.011
0.011
β
9.441,41
9.441,41
β
stisopeD
liviC
.1
6.155,5
β
β
5.491,6
5.491,6
β
2.249,6
2.249,6
β
6.624,9
6.624,9
β
sdnuF lacoL fo stisopeD
.2
0.021
β
β
0.021
0.021
β
0.021
0.021
β
9.602,3
9.602,3
β
secnavdA
liviC
.3
β
β
β
β
β
β
β
β
β
5.600,3
5.600,3
β
srehtO
.4
5.606,3
β
β
5.601,3
5.601,3
β
5.602,4
5.602,4
β
7.203,161
7.203,161
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
5.606,3
β
β
5.601,3
5.601,3
β
5.606,3
5.606,3
β
1.238,6
1.238,6
β
esnepsuS
.1
β
β
β
β
β
β
0.063
0.063
β
7.569,351
7.569,351
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
β
β
β
β
β
β
0.042
0.042
β
9.405
9.405
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
0.033,1
β
β
0.033,1
0.033,1
β
0.033,1
0.033,1
β
6.034,48
6.034,48
β
secnattimeR.IIX
4.800,13
9.709,43
7.195,76
1.207
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
7.771,96-
9.955,17-
0.166,06-
2.478,8
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
3.961,83-
0.256,63-
7.039,6
3.675,9
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
3.961,83-
0.256,63-
7.039,6
3.675,9
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
3.908,73-
0.292,03-
7.039,6
4.419
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
5.12-
5.11-
5.11
6.979-
ecnalaB gninepO
)a
8.038,73-
5.303,03-
2.249,6
1.56-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
0.063-
0.063,6-
β
9.166,8
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
280
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
DNAHKRAHJ
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
6.676,126
6.868,325
0.808,79
2.924,395
3.346,605
9.587,68
4.719,735
1.677,944
3.141,88
1.394,435
3.044,584
8.250,94
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
1.794,121
1.986,32
0.808,79
2.266,701
3.678,02
9.587,68
6.799,801
3.658,02
3.141,88
5.323,66
7.072,71
8.250,94
$)stnuoccA
cilbuP
gnidulcxE(
8.557,68
5.052
3.505,68
3.219,67
0.032
3.286,67
3.042,28
0.032
3.010,28
0.192,74
1.851
9.231,74
)2 + 1( yaltuO
latipaC
latoT
.I
8.555,18
0.03
8.525,18
6.019,27
β
6.019,27
1.571,87
β
1.571,87
8.445,54
β
8.445,54
)b + a( tnempoleveD
.1
9.712,61
0.03
9.781,61
0.215,21
β
0.215,21
9.257,21
β
9.257,21
9.142,9
β
9.142,9
)9 ot 1( secivreS
laicoS
)a(
3.320,2
β
3.320,2
6.320,2
β
6.320,2
0.420,2
β
0.420,2
1.254,1
β
1.254,1
erutluC
dna trA ,stropS ,noitacudE
.1
3.092,4
β
3.092,4
3.533,3
β
3.533,3
4.049,3
β
4.049,3
8.166,1
β
8.166,1
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
9.767,2
β
9.767,2
5.108,1
β
5.108,1
5.628,1
β
5.628,1
2.012,3
β
2.012,3
noitatinaS dna ylppuS retaW
.4
0.087
0.03
0.057
5.324
β
5.324
0.063
β
0.063
9.902
β
9.902
gnisuoH
.5
β
β
β
β
β
β
0.01
β
0.01
4.1
β
4.1
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
9.851,3
β
9.851,3
2.368,2
β
2.368,2
1.185,2
β
1.185,2
3.086,1
β
3.086,1
sessalC
drawkcaB rehtO dna sebirT
0.045,2
β
0.045,2
0.081,1
β
0.081,1
0.081,1
β
0.081,1
3.620,1
β
3.620,1
erafleW dna ytiruceS laicoS
.8
5.756
β
5.756
9.488
β
9.488
0.138
β
0.138
β
β
β
* srehtO
.9
9.733,56
β
9.733,56
6.893,06
β
6.893,06
1.224,56
β
1.224,56
9.203,63
β
9.203,63
)01 ot 1( secivreS cimonocE)b(
4.494,1
β
4.494,1
7.154,1
β
7.154,1
5.985,1
β
5.985,1
6.251
β
6.251
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
0.091
β
0.091
0.002
β
0.002
0.002
β
0.002
0.51
β
0.51
yrdnabsuH porC
)i
0.053
β
0.053
0.053
β
0.053
0.053
β
0.053
β
β
β
noitavresnoC retaW dna lioS
)ii
6.642
β
6.642
0.651
β
0.651
0.171
β
0.171
β
β
β
yrdnabsuH laminA
)iii
7.521
β
7.521
7.261
β
7.261
β
β
β
0.001
β
0.001
tnempoleveD yriaD
)vi
7.333
β
7.333
8.523
β
8.523
3.175
β
3.175
6.73
β
6.73
seirehsiF
)v
β
β
β
0.05
β
0.05
0.05
β
0.05
β
β
β
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
1.302
β
1.302
1.361
β
1.361
1.302
β
1.302
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
3.54
β
3.54
1.44
β
1.44
1.44
β
1.44
β
β
β
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
0.429,21
β
0.429,21
3.994,41
β
3.994,41
0.583,91
β
0.583,91
3.984,11
β
3.984,11
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
0.030,02
β
0.030,02
0.030,91
β
0.030,91
0.030,91
β
0.030,91
1.045,4
β
1.045,4
lortnoC doolF
β
β
β
β
β
β
β
β
β
β
β
β
ygrenE
.5
0.07
β
0.07
0.94
β
0.94
0.94
β
0.94
0.02
β
0.02
)vi ot i( slareniM dna yrtsudnI
.6
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
0.06
β
0.06
0.93
β
0.93
β
β
β
β
β
β
seirtsudnI lacigrullateM
0.01
β
0.01
0.01
β
0.01
0.94
β
0.94
0.02
β
0.02
# srehtO
)vi
5.371,03
β
5.371,03
1.481,52
β
1.481,52
1.481,52
β
1.481,52
5.649,91
β
5.649,91
)ii + i( tropsnarT
.7
0.288,92
β
0.288,92
9.598,42
β
9.598,42
9.598,42
β
9.598,42
6.277,81
β
6.277,81
segdirB dna sdaoR
)i
5.192
β
5.192
2.882
β
2.882
2.882
β
2.882
9.371,1
β
9.371,1
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
281
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
DNAHKRAHJ
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
0.646
β
0.646
5.481
β
5.481
5.481
β
5.481
5.451
β
5.451
)ii +
i( secivreS
cimonocE
lareneG.01
0.646
β
0.646
5.481
β
5.481
5.481
β
5.481
5.451
β
5.451
msiruoT
)i
β
β
β
β
β
β
β
β
β
β
β
β
@@ srehtO
)ii
0.002,5
5.022
5.979,4
7.100,4
0.032
7.177,3
3.560,4
0.032
3.538,3
2.647,1
1.851
1.885,1
)secivreS
lareneG( tnempoleveD-noN
.2
2.968,02
2.968,02
β
6.382,81
6.382,81
β
6.352,81
6.352,81
β
7.185,81
7.185,81
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
6.049,5
6.049,5
β
5.126,4
5.126,4
β
5.126,4
5.126,4
β
7.441,4
7.441,4
β
snaoL tekraM
.1
β
β
β
β
β
β
β
β
β
β
β
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
0.040,5
0.040,5
β
0.079,3
0.079,3
β
0.079,3
0.079,3
β
5.210,3
5.210,3
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.051
0.051
β
7.441
7.441
β
0.59
0.59
β
0.88
0.88
β
noitaroproC
β
β
β
β
β
β
β
β
β
8.551,3
8.551,3
β
IBR morf AMW
.6
3.318,4
3.318,4
β
7.183,4
7.183,4
β
7.183,4
7.183,4
β
7.292,4
7.292,4
β
FSSN
ot deussi seitiruceS
laicepS
.7
3.529,4
3.529,4
β
6.561,5
6.561,5
β
3.581,5
3.581,5
β
0.888,3
0.888,3
β
srehtO
.8
3.541,2
3.541,2
β
3.541,2
3.541,2
β
3.541,2
3.541,2
β
7.711,2
7.711,2
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
1.617,1
1.617,1
β
4.905,1
4.905,1
β
4.905,1
4.905,1
β
5.783,1
5.783,1
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
0.056,1
0.056,1
β
9.284,1
9.284,1
β
9.284,1
9.284,1
β
6.463,1
6.463,1
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
1.66
1.66
β
5.62
5.62
β
5.62
5.62
β
9.22
9.22
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
1.66
1.66
β
5.62
5.62
β
5.62
5.62
β
9.22
9.22
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
0.651,21
3.358
7.203,11
9.659,01
3.358
6.301,01
3.499,6
3.368
0.131,6
1.912,2
1.992
9.919,1
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
0.240,21
3.937
7.203,11
9.248,01
3.937
6.301,01
3.088,6
3.947
0.131,6
3.891,2
3.872
9.919,1
)b
+ a( sesopruP
tnempoleveD
.1
3.439
3.996
0.532
3.967
3.996
0.07
3.967
3.996
0.07
2.113
2.152
0.06
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
0.532
β
0.532
0.07
β
0.07
0.07
β
0.07
0.06
β
0.06
gnisuoH .5
0.005
0.005
β
0.005
0.005
β
0.005
0.005
β
9.601
9.601
β
)gnisuoH(
stnavreS tnemnrevoG
.6
3.991
3.991
β
3.991
3.991
β
3.991
3.991
β
4.441
4.441
β
srehtO .7
7.701,11
0.04
7.760,11
6.370,01
0.04
6.330,01
0.111,6
0.05
0.160,6
0.788,1
1.72
9.958,1
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
7.98
β
7.98
5.211
β
5.211
5.211
β
5.211
5.601
β
5.601
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
0.879,01
β
0.879,01
1.129,9
β
1.129,9
5.849,5
β
5.849,5
4.357,1
β
4.357,1
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
282
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
DNAHKRAHJ
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
0.04
0.04
β
0.04
0.04
β
0.05
0.05
β
1.72
1.72
β
tnempoleveD laruR
.9
β
β
β
β
β
β
β
β
β
β
β
β
srehtO.01
0.411
0.411
β
0.411
0.411
β
0.411
0.411
β
8.02
8.02
β
)b + a(
sesopruP tnempoleveD-noN
.2
0.411
0.411
β
0.411
0.411
β
0.411
0.411
β
8.02
8.02
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
0.005
0.005
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
5.880,8
5.880,8
β
9.258,7
9.258,7
β
0.003,8
0.003,8
β
7.415,7
7.415,7
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
9.567,6
9.567,6
β
8.865,6
8.865,6
β
7.060,7
7.060,7
β
9.582,6
9.582,6
β
sdnuF tnedivorP
etatS
.1
6.223,1
6.223,1
β
1.482,1
1.482,1
β
3.932,1
3.932,1
β
8.822,1
8.822,1
β
srehtO
.2
2.924
2.924
β
5.275
5.275
β
8.054,5
8.054,5
β
9.212
9.212
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
0.002
0.002
β
0.053
0.053
β
0.053
0.053
β
β
β
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
2.922
2.922
β
5.222
5.222
β
8.001,5
8.001,5
β
9.212
9.212
β
srehtO
.4
5.672,08
5.672,08
β
4.839,77
4.839,77
β
1.042,19
1.042,19
β
2.285,47
2.285,47
β
)4 ot 1( secnavdA dna
stisopeD
.XI
6.797,31
6.797,31
β
7.593,31
7.593,31
β
8.154,51
8.154,51
β
9.818,21
9.818,21
β
stisopeD
liviC
.1
8.679,13
8.679,13
β
4.540,13
4.540,13
β
2.199,92
2.199,92
β
5.807,92
5.807,92
β
sdnuF lacoL fo stisopeD
.2
6.602,1
6.602,1
β
5.171,1
5.171,1
β
3.809,1
3.809,1
β
0.121,1
0.121,1
β
secnavdA
liviC
.3
6.592,33
6.592,33
β
8.523,23
8.523,23
β
7.888,34
7.888,34
β
8.339,03
8.339,03
β
srehtO
.4
3.066,743
3.066,743
β
3.435,733
3.435,733
β
9.991,762
9.991,762
β
3.999,223
3.999,223
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
1.717-
1.717-
β
2.696-
2.696-
β
1.198,2
1.198,2
β
3.666-
3.666-
β
esnepsuS
.1
3.111,643
3.111,643
β
4.030,633
4.030,633
β
5.001,262
5.001,262
β
2.065,123
2.065,123
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
1.662,2
1.662,2
β
1.002,2
1.002,2
β
4.802,2
4.802,2
β
4.501,2
4.501,2
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
1.527,36
1.527,36
β
0.968,16
0.968,16
β
9.827,65
9.827,65
β
8.402,95
8.402,95
β
secnattimeR.IIX
6.048,64
5.303,83
1.855,93
1.450,72
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
5.545,24-
8.980,43-
7.933,42-
0.713,91-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
1.592,4
7.312,4
5.812,51
1.737,7
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
2.592,4
7.312,4
5.812,51
1.737,7
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
7.218,4
2.617,4
2.038,5
4.486,6
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
5.538,01
3.911,6
3.911,6
0.565-
ecnalaB gninepO
)a
2.846,51
5.538,01
5.949,11
4.911,6
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
5.715-
5.205-
3.883,9
7.250,1
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
283
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
AKATANRAK
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
8.521,601,3
6.642,098,2
2.978,512
5.823,028,2
2.482,926,2
3.440,191
6.859,158,2
3.501,056,2
3.358,102
9.348,857,2
7.649,585,2
2.798,271
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
5.748,052
3.869,43
2.978,512
2.878,042
9.338,94
3.440,191
3.805,252
0.556,05
3.358,102
3.195,412
1.496,14
2.798,271
$)stnuoccA
cilbuP
gnidulcxE(
2.636,502
6.606,4-
8.242,012
6.008,881
9.237,1
7.760,781
9.731,002
9.237,1
0.504,891
6.864,961
5.762,3
1.102,661
)2 + 1( yaltuO
latipaC
latoT
.I
0.213,791
6.623,5-
6.836,202
8.514,181
8.633,1
1.970,081
1.824,291
8.633,1
4.190,191
2.164,461
6.989,2
6.174,161
)b + a( tnempoleveD
.1
6.857,44
4.961,2
2.985,24
2.722,05
0.187
2.644,94
9.852,84
0.187
9.774,74
8.625,03
4.1-
2.825,03
)9 ot 1( secivreS
laicoS
)a(
5.650,7
β
5.650,7
3.604,7
6.92
7.673,7
3.649,6
6.92
7.619,6
1.188,3
1.0-
2.188,3
erutluC
dna trA ,stropS ,noitacudE
.1
4.038,5
β
4.038,5
3.812,6
β
3.812,6
8.491,5
β
8.491,5
1.404,4
2.1-
4.504,4
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
0.486,4
β
0.486,4
0.516,31
β
0.516,31
0.513,21
β
0.513,21
2.344,9
1.0-
3.344,9
noitatinaS dna ylppuS retaW
.4
9.634,3
4.480,2
5.253,1
3.412,2
3.566
0.945,1
3.408,2
3.566
0.931,2
0.418
β
0.418
gnisuoH
.5
0.595,3
0.58
0.015,3
1.640,3
1.68
0.069,2
1.695,3
1.68
0.015,3
4.816,1
β
4.816,1
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
5.721,91
β
5.721,91
2.282,61
β
2.282,61
9.450,61
β
9.450,61
5.469,8
β
5.469,8
sessalC
drawkcaB rehtO dna sebirT
6.136
β
6.136
0.161,1
β
0.161,1
5.859
β
5.859
5.001,1
β
5.001,1
erafleW dna ytiruceS laicoS
.8
7.693
β
7.693
0.482
β
0.482
0.983
β
0.983
0.103
β
0.103
* srehtO
.9
4.355,251
0.694,7-
4.940,061
6.881,131
7.555
9.236,031
2.961,441
7.555
5.316,341
4.439,331
0.199,2
4.349,031
)01 ot 1( secivreS cimonocE)b(
6.181,2
β
6.181,2
0.518,2
β
0.518,2
3.420,3
β
3.420,3
5.316,2
β
5.316,2
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
0.022
β
0.022
4.716
β
4.716
0.306
β
0.306
5.227
β
5.227
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
0.008
β
0.008
4.131,1
β
4.131,1
4.460,1
β
4.460,1
8.849
β
8.849
yrdnabsuH laminA
)iii
β
β
β
0.04
β
0.04
0.04
β
0.04
0.04
β
0.04
tnempoleveD yriaD
)vi
6.100,1
β
6.100,1
0.068
β
0.068
0.041,1
β
0.041,1
3.177
β
3.177
seirehsiF
)v
0.021
β
0.021
0.521
β
0.521
0.521
β
0.521
8.121
β
8.121
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
0.02
β
0.02
0.02
β
0.02
0.02
β
0.02
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
0.02
β
0.02
3.12
β
3.12
0.23
β
0.23
0.9
β
0.9
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
0.23
0.2
0.03
2.451
2.41
0.041
2.451
2.41
0.041
2.385
1.0-
3.385
tnempoleveD laruR
.2
1.000,01
β
1.000,01
0.005,01
β
0.005,01
0.005,01
β
0.005,01
4.431,6
β
4.431,6
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
9.420,19
0.060,1
9.469,98
5.642,66
6.07
8.571,66
9.922,08
6.07
2.951,08
2.838,36
4.676,2
8.161,16
lortnoC doolF
2.2
0.2
2.0
9.020,3
9.02
0.000,3
9.020,8
9.02
0.000,8
8.840,3
8.84
0.000,3
ygrenE
.5
9.008,2
β
9.008,2
6.503,3
β
6.503,3
6.381,2
β
6.381,2
9.277,1
1.041-
0.319,1
)vi ot i( slareniM dna yrtsudnI
.6
7.654
β
7.654
2.127
β
2.127
2.637
β
2.637
5.505
β
5.505
seirtsudnI llamS dna egalliV
)i
1.005,1
β
1.005,1
2.967
β
2.967
2.979
β
2.979
6.683
β
6.683
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
1.448
β
1.448
2.518,1
β
2.518,1
2.864
β
2.864
9.088
0.041-
9.020,1
# srehtO
)vi
3.208,04
0.065,8-
3.263,94
4.690,24
0.054
4.646,14
6.489,63
0.054
6.435,63
7.489,25
7.714
1.765,25
)ii + i( tropsnarT
.7
1.892,93
0.065,8-
1.858,74
3.600,14
0.054
3.655,04
6.426,53
0.054
6.471,53
9.331,25
1.914
8.417,15
segdirB dna sdaoR
)i
2.405,1
β
2.405,1
1.090,1
β
1.090,1
0.063,1
β
0.063,1
9.058
4.1-
3.258
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
284
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
AKATANRAK
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
4.907,5
β
4.907,5
1.050,3
β
1.050,3
7.170,3
β
7.170,3
7.859,2
7.11-
4.079,2
)ii +
i( secivreS
cimonocE
lareneG.01
0.057,2
β
0.057,2
7.765,2
β
7.765,2
7.767,2
β
7.767,2
2.249,1
1.0-
2.249,1
msiruoT
)i
4.959,2
β
4.959,2
4.284
β
4.284
0.403
β
0.403
5.610,1
6.11-
1.820,1
@@ srehtO
)ii
2.423,8
0.027
2.406,7
7.483,7
1.693
6.889,6
7.907,7
1.693
6.313,7
4.700,5
9.772
6.927,4
)secivreS
lareneG( tnempoleveD-noN
.2
8.711,05
8.711,05
β
5.243,04
5.243,04
β
1.068,95
1.068,95
β
7.522,13
7.522,13
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
6.437,21
6.437,21
β
9.280,42
9.280,42
β
9.280,42
9.280,42
β
0.019,51
0.019,51
β
snaoL tekraM
.1
8.383
8.383
β
8.383
8.383
β
8.383
8.383
β
7.293
7.293
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
7.506,6
7.506,6
β
0.008,5
0.008,5
β
8.913,5
8.913,5
β
9.798,4
9.798,4
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
8.22
8.22
β
8.53
8.53
β
8.53
8.53
β
3.34
3.34
β
noitaroproC
0.000,02
0.000,02
β
β
β
β
0.000,02
0.000,02
β
β
β
β
IBR morf AMW
.6
6.913,01
6.913,01
β
8.889,9
8.889,9
β
8.889,9
8.889,9
β
9.139,9
9.139,9
β
FSSN
ot deussi seitiruceS
laicepS
.7
3.15
3.15
β
2.15
2.15
β
1.94
1.94
β
9.94
9.94
β
srehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
2.167,7
2.167,7
β
4.332,7
4.332,7
β
3.447,7
3.447,7
β
7.249,6
7.249,6
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
0.407,7
0.407,7
β
2.671,7
2.671,7
β
6.486,7
6.486,7
β
4.849,6
4.849,6
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
2.66-
2.66-
β
semehcS derosnopS
yllartneC
.3
2.75
2.75
β
2.75
2.75
β
7.95
7.95
β
5.06
5.06
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
2.75
2.75
β
2.75
2.75
β
7.95
7.95
β
5.06
5.06
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
3.233,7
9.596,1
4.636,5
8.105,4
2.525
6.679,3
0.667,4
7.713,1
3.844,3
3.459,6
2.852
1.696,6
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
4.686,5
0.05
4.636,5
6.623,4
0.053
6.679,3
3.897,3
0.053
3.844,3
9.286,6
β
9.286,6
)b
+ a( sesopruP
tnempoleveD
.1
0.055,3
β
0.055,3
6.255,1
β
6.255,1
0.385,1
β
0.385,1
7.882,4
β
7.882,4
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
0.074,3
β
0.074,3
0.000,3
β
0.000,3
0.000,3
β
0.000,3
0.352,2
β
0.352,2
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
0.03
β
0.03
6.91
β
6.91
0.05
β
0.05
8.6
β
8.6
)gnisuoH(
stnavreS tnemnrevoG
.6
0.05
β
0.05
0.764,1-
β
0.764,1-
0.764,1-
β
0.764,1-
9.820,2
β
9.820,2
srehtO .7
4.631,2
0.05
4.680,2
0.477,2
0.053
0.424,2
3.512,2
0.053
3.568,1
2.493,2
β
2.493,2
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
9.553
β
9.553
8.012
β
8.012
8.012
β
8.012
1.463
β
1.463
gnisuoheraW
dna egarotS
dooF .3
0.05
β
0.05
β
β
β
1.93
β
1.93
β
β
β
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
0.037
β
0.037
0.008
β
0.008
0.000,1
β
0.000,1
4.718
β
4.718
stcejorP
rewoP .6Appendix IV
285
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
AKATANRAK
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.03
β
5.03
4.55
β
4.55
4.55
β
4.55
9.92
β
9.92
seirtsudnI
llamS dna egalliV
.7
0.05
0.05
β
0.05
0.05
β
0.05
0.05
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
0.029
β
0.029
8.756,1
0.003
8.753,1
0.068
0.003
0.065
8.281,1
β
8.281,1
srehtO.01
9.546,1
9.546,1
β
2.571
2.571
β
7.769
7.769
β
4.172
2.852
2.31
)b + a(
sesopruP tnempoleveD-noN
.2
8.421
8.421
β
1.35
1.35
β
7.721
7.721
β
2.371
0.061
2.31
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
1.125,1
1.125,1
β
1.221
1.221
β
0.048
0.048
β
1.89
1.89
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
0.05
0.05
β
0.05
0.05
β
0.05
0.05
β
β
β
β
dnuF ycnegnitnoC
.IV
0.921,62
0.921,62
β
7.357,32
7.357,32
β
7.357,32
7.357,32
β
6.010,42
6.010,42
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
4.690,41
4.690,41
β
9.418,21
9.418,21
β
9.418,21
9.418,21
β
2.507,31
2.507,31
β
sdnuF tnedivorP
etatS
.1
6.230,21
6.230,21
β
8.839,01
8.839,01
β
8.839,01
8.839,01
β
3.503,01
3.503,01
β
srehtO
.2
4.086,91
4.086,91
β
3.193,81
3.193,81
β
3.193,81
3.193,81
β
6.979,81
6.979,81
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
4.086,91
4.086,91
β
3.193,81
3.193,81
β
3.193,81
3.193,81
β
6.979,81
6.979,81
β
srehtO
.4
9.573,763
9.573,763
β
1.893,533
1.893,533
β
1.893,533
1.893,533
β
2.626,413
2.626,413
β
)4 ot 1( secnavdA dna
stisopeD
.XI
9.835,66
9.835,66
β
9.984,06
9.984,06
β
9.984,06
9.984,06
β
1.667,16
1.667,16
β
stisopeD
liviC
.1
5.465,432
5.465,432
β
4.066,412
4.066,412
β
4.066,412
4.066,412
β
9.119,991
9.119,991
β
sdnuF lacoL fo stisopeD
.2
5.82
5.82
β
9.52
9.52
β
9.52
9.52
β
β
β
β
secnavdA
liviC
.3
0.442,66
0.442,66
β
9.122,06
9.122,06
β
9.122,06
9.122,06
β
2.849,25
2.849,25
β
srehtO
.4
1.755,614,2
1.755,614,2
β
0.078,691,2
0.078,691,2
β
0.078,691,2
0.078,691,2
β
0.642,681,2
0.642,681,2
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
9.369,2
9.369,2
β
4.496,2
4.496,2
β
4.496,2
4.496,2
β
6.949,4
6.949,4
β
esnepsuS
.1
3.657,416,1
3.657,416,1
β
2.069,764,1
2.069,764,1
β
2.069,764,1
2.069,764,1
β
6.304,414,1
6.304,414,1
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
9.638,897
9.638,897
β
3.512,627
3.512,627
β
3.512,627
3.512,627
β
8.298,667
8.298,667
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
9.584,5
9.584,5
β
2.789,4
2.789,4
β
2.789,4
2.789,4
β
2.093
2.093
β
secnattimeR.IIX
4.601,9
1.106,1
8.218,2
6.925,3
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
1.410,31-
7.101
2.870,3-
1.066,73
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
7.709,3-
8.207,1
4.562-
7.981,14
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
7.709,3-
8.207,1
4.562-
7.981,14
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
7.709,3-
8.207,1
4.562-
7.281
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
1.565,2
2.268
7.777
5.976
ecnalaB gninepO
)a
7.243,1-
1.565,2
3.215
2.268
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
β
β
β
1.700,14
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
286
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
ALAREK
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.168,769,1
2.605,109,1
2.553,66
3.627,518,1
2.941,177,1
1.775,44
6.734,408,1
9.716,747,1
6.918,65
8.818,887,1
1.189,947,1
7.738,83
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
2.681,041
0.138,37
2.553,66
0.459,09
9.673,64
1.775,44
3.370,601
6.352,94
6.918,65
9.348,88
2.600,05
7.738,83
$)stnuoccA
cilbuP
gnidulcxE(
6.102,29
2.262,03
5.939,16
6.726,05
7.926,01
9.799,93
8.363,66
7.629,31
1.734,25
3.349,24
9.084,9
4.264,33
)2 + 1( yaltuO
latipaC
latoT
.I
6.644,09
0.459,92
7.294,06
1.338,84
2.779,9
9.558,83
8.182,56
5.817,31
3.365,15
0.364,14
1.548,8
9.716,23
)b + a( tnempoleveD
.1
9.454,31
8.719,2
1.735,01
2.106,11
9.908,1
3.197,9
5.316,21
2.565,2
3.840,01
2.171,6
0.51
2.651,6
)9 ot 1( secivreS
laicoS
)a(
5.815,3
5.566,1
0.358,1
8.875,3
6.717
1.168,2
3.472,3
0.314,1
3.168,1
8.299,1
β
8.299,1
erutluC
dna trA ,stropS ,noitacudE
.1
2.026,2
3.258
9.767,1
5.251,3
2.208
3.053,2
9.704,2
2.268
7.545,1
2.303,1
β
2.303,1
htlaeH cilbuP dna lacideM
.2
β
β
β
1.0
β
1.0
β
β
β
β
β
β
erafleW ylimaF
.3
8.153,1
0.004
8.159
0.266
0.092
0.273
0.281,1
0.092
0.298
0.516
0.51
0.006
noitatinaS dna ylppuS retaW
.4
0.661
β
0.661
4.882
β
4.882
5.262
β
5.262
1.431
β
1.431
gnisuoH
.5
1.655
β
1.655
0.563
β
0.563
0.605
β
0.605
5.4
β
5.4
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
3.538,2
β
3.538,2
3.324,1
β
3.324,1
3.927,2
β
3.927,2
8.233
β
8.233
sessalC
drawkcaB rehtO dna sebirT
0.568
β
0.568
6.516
β
6.516
0.637
β
0.637
4.783
β
4.783
erafleW dna ytiruceS laicoS
.8
0.245,1
β
0.245,1
5.515,1
β
5.515,1
5.515,1
β
5.515,1
5.104,1
β
5.104,1
* srehtO
.9
7.199,67
2.630,72
6.559,94
8.132,73
3.761,8
6.460,92
3.866,25
3.351,11
0.515,14
8.192,53
1.038,8
7.164,62
)01 ot 1( secivreS cimonocE)b(
4.746,4
4.698
1.157,3
1.046,3
5.978
5.067,2
4.792,3
0.397
4.405,2
1.754,2
3.737
8.917,1
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
2.171
2.21
0.951
4.181
9.01
5.071
7.181
2.6
5.571
5.721
8.3
7.321
yrdnabsuH porC
)i
8.523
8.5
0.023
3.346
8.5
5.736
8.503
8.5
0.003
1.722
2.2
9.422
noitavresnoC retaW dna lioS
)ii
0.221
β
0.221
7.551
β
7.551
0.351
β
0.351
5.32
β
5.32
yrdnabsuH laminA
)iii
β
β
β
3.91
β
3.91
β
β
β
3.2
β
3.2
tnempoleveD yriaD
)vi
6.973,2
8.455
8.428,1
9.373,1
8.455
1.918
0.803,1
0.055
0.857
1.191,1
9.355
3.736
seirehsiF
)v
7.428
β
7.428
7.472
β
7.472
7.456
β
7.456
8.053
β
8.053
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
1.373
5.892
6.47
0.123
0.852
0.36
0.492
0.132
0.36
4.602
4.771
0.92
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
0.104
5.21
5.883
3.336
5.21
8.026
2.053
β
2.053
0.972
β
0.972
noitarepo-oC
)x
0.05
5.21
5.73
5.73
5.73
β
0.05
β
0.05
3.94
β
3.94
@ srehtO
)ix
7.963,3
0.550,1
7.413,2
0.020,2
0.047
0.082,1
0.015,1
0.067
0.057
4.182
5.22
9.852
tnempoleveD laruR
.2
0.034
β
0.034
0.05
β
0.05
0.004
β
0.004
β
β
β
semmargorP aerA laicepS
.3
0.034
β
0.034
0.05
β
0.05
0.004
β
0.004
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
9.918,5
0.016
9.902,5
3.568,6
3.053,1
0.515,5
2.733,9
0.025
2.718,8
9.324,3
7.157
2.276,2
lortnoC doolF
0.85
β
0.85
0.84
β
0.84
0.85
β
0.85
0.43
β
0.43
ygrenE
.5
8.501,5
β
8.501,5
8.260,2
0.52
8.730,2
1.937,4
β
1.937,4
4.224,3
β
4.224,3
)vi ot i( slareniM dna yrtsudnI
.6
7.324
β
7.324
0.644
0.52
0.124
0.767
β
0.767
5.584
β
5.584
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
1.286,4
β
1.286,4
8.616,1
β
8.616,1
1.279,3
β
1.279,3
9.639,2
β
9.639,2
# srehtO
)vi
6.711,53
1.634,32
5.186,11
0.145,91
7.598,3
4.546,51
7.117,71
3.010,7
4.107,01
4.453,91
2.042,2
2.411,71
)ii + i( tropsnarT
.7
3.007,32
8.513,41
5.483,9
7.284,31
6.577,1
1.707,11
7.382,21
5.930,4
2.442,8
4.230,41
2.737
2.592,31
segdirB dna sdaoR
)i
3.714,11
3.021,9
0.792,2
3.850,6
0.021,2
3.839,3
0.824,5
8.079,2
2.754,2
0.223,5
0.305,1
1.918,3
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
287
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
ALAREK
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.3
β
0.3
0.3
β
0.3
0.3
β
0.3
5.2
β
5.2
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
3.044,22
7.830,1
6.104,12
7.100,3
8.672,1
9.427,1
9.116,51
9.960,2
0.245,31
2.613,6
4.870,5
8.732,1
)ii +
i( secivreS
cimonocE
lareneG.01
6.155,1
0.002
6.153,1
9.473,1
0.002
9.471,1
2.414,1
0.002
2.412,1
3.404,1
6.612
8.781,1
msiruoT
)i
7.888,02
7.838
0.050,02
8.626,1
8.670,1
0.055
7.791,41
9.968,1
8.723,21
9.119,4
9.168,4
0.05
@@ srehtO
)ii
0.557,1
2.803
8.644,1
5.497,1
5.256
0.241,1
0.280,1
2.802
8.378
4.084,1
8.536
5.448
)secivreS
lareneG( tnempoleveD-noN
.2
5.682,641
5.682,641
β
5.924,831
5.924,831
β
5.924,831
5.924,831
β
3.239,82
3.239,82
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
4.441,12
4.441,12
β
1.332,41
1.332,41
β
1.332,41
1.332,41
β
3.562,41
3.562,41
β
snaoL tekraM
.1
7.337,2
7.337,2
β
9.447,2
9.447,2
β
9.447,2
9.447,2
β
5.257,2
5.257,2
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
9.796,3
9.796,3
β
4.442,3
4.442,3
β
4.442,3
4.442,3
β
8.908,2
8.908,2
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.057
0.057
β
0.003
0.003
β
0.003
0.003
β
4.672
4.672
β
noitaroproC
0.052,011
0.052,011
β
0.052,011
0.052,011
β
0.052,011
0.052,011
β
3.981,1
3.981,1
β
IBR morf AMW
.6
3.011,6
3.011,6
β
1.470,6
1.470,6
β
1.470,6
1.470,6
β
4.760,6
4.760,6
β
FSSN
ot deussi seitiruceS
laicepS
.7
3.006,1
3.006,1
β
1.385,1
1.385,1
β
1.385,1
1.385,1
β
6.175,1
6.175,1
β
srehtO
.8
3.851,1
3.851,1
β
3.851,1
3.851,1
β
3.851,1
3.851,1
β
3.851,1
3.851,1
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
3.394,3
3.394,3
β
0.494,3
0.494,3
β
0.494,3
0.494,3
β
8.515,3
8.515,3
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
4.374,3
4.374,3
β
4.374,3
4.374,3
β
4.374,3
4.374,3
β
0.594,3
0.594,3
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
8.91
8.91
β
3.02
3.02
β
3.02
3.02
β
9.02
9.02
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
8.91
8.91
β
3.02
3.02
β
3.02
3.02
β
9.02
9.02
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
2.0
2.0
β
2.0
2.0
β
β
β
β
srehtO
.7
8.454,8
1.930,4
8.514,4
8.256,8
7.370,4
2.975,4
9.530,8
4.356,3
5.283,4
7.146,41
4.662,9
3.573,5
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
8.843,8
0.339,3
8.514,4
7.845,8
5.969,3
2.975,4
8.619,7
3.435,3
5.283,4
5.055,41
2.571,9
3.573,5
)b
+ a( sesopruP
tnempoleveD
.1
0.855,4
0.331,2
0.524,2
0.893,3
0.430,2
0.463,1
0.698,3
0.230,2
0.468,1
7.850,7
6.298,4
1.661,2
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
0.21
β
0.21
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
0.000,2
β
0.000,2
0.000,1
β
0.000,1
0.005,1
β
0.005,1
7.639,1
β
7.639,1
noitatinaS
dna ylppuS
retaW .4
0.554
0.03
0.524
0.493
0.03
0.463
0.493
0.03
0.463
6.090,3
7.009,2
9.981
gnisuoH .5
0.201,2
0.201,2
β
0.300,2
0.300,2
β
0.100,2
0.100,2
β
9.199,1
9.199,1
β
)gnisuoH(
stnavreS tnemnrevoG
.6
0.1
0.1
β
0.1
0.1
β
0.1
0.1
β
5.72
β
5.72
srehtO .7
8.097,3
0.008,1
8.099,1
7.051,5
5.539,1
2.512,3
8.020,4
3.205,1
5.815,2
7.194,7
6.282,4
2.902,3
)01
ot 1( secivreS
cimonocE
)b
β
β
β
3.2
3.2
β
3.2
3.2
β
1.2
1.2
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
4.05
β
4.05
0.24
β
0.24
0.24
β
0.24
4.952
β
4.952
gnisuoheraW
dna egarotS
dooF .3
8.253
β
8.253
5.047
β
5.047
5.092
β
5.092
2.542
β
2.542
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
2.414
β
2.414
0.022
β
0.022
0.023
β
0.023
β
β
β
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
288
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
ALAREK
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
7.291
β
7.291
9.002
β
9.002
1.811
β
1.811
0.804
β
0.804
seirtsudnI
llamS dna egalliV
.7
7.055
β
7.055
9.784,1
β
9.784,1
9.784,1
β
9.784,1
8.969
β
8.969
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
4.42
β
4.42
tnempoleveD laruR
.9
0.032,2
0.008,1
0.034
1.754,2
2.339,1
9.325
0.067,1
0.005,1
0.062
8.285,5
5.082,4
3.203,1
srehtO.01
1.601
1.601
β
2.401
2.401
β
1.911
1.911
β
3.19
3.19
β
)b + a(
sesopruP tnempoleveD-noN
.2
6.39
6.39
β
7.68
7.68
β
6.68
6.68
β
0.28
0.28
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
5.21
5.21
β
5.71
5.71
β
5.23
5.23
β
3.9
3.9
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
0.01
0.01
β
0.01
0.01
β
0.01
0.01
β
9.376
9.376
β
dnuF ycnegnitnoC
.IV
5.795,572
5.795,572
β
3.619,062
3.619,062
β
0.591,242
0.591,242
β
8.604,252
8.604,252
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
6.053,83
6.053,83
β
1.981,73
1.981,73
β
2.433,14
2.433,14
β
9.002,53
9.002,53
β
sdnuF tnedivorP
etatS
.1
8.642,732
8.642,732
β
2.727,322
2.727,322
β
8.068,002
8.068,002
β
9.502,712
9.502,712
β
srehtO
.2
0.130,3
0.130,3
β
1.347,4
1.347,4
β
5.977,1
5.977,1
β
5.062,5
5.062,5
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
5.550,1
5.550,1
β
1.871,2
1.871,2
β
β
β
β
6.091,2
6.091,2
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
5.579,1
5.579,1
β
0.565,2
0.565,2
β
5.977,1
5.977,1
β
9.960,3
9.960,3
β
srehtO
.4
8.447,111
8.447,111
β
7.713,901
7.713,901
β
5.662,801
5.662,801
β
0.287,69
0.287,69
β
)4 ot 1( secnavdA dna
stisopeD
.XI
8.137,43
8.137,43
β
9.519,33
9.519,33
β
2.934,43
2.934,43
β
1.469,23
1.469,23
β
stisopeD
liviC
.1
1.201,67
1.201,67
β
3.374,47
3.374,47
β
4.112,37
4.112,37
β
0.570,36
0.570,36
β
sdnuF lacoL fo stisopeD
.2
2.1
2.1
β
7.1
7.1
β
7.1
7.1
β
6.2
6.2
β
secnavdA
liviC
.3
7.909
7.909
β
8.629
8.629
β
2.416
2.416
β
3.047
3.047
β
srehtO
.4
6.528,822,1
6.528,822,1
β
1.351,441,1
1.351,441,1
β
5.080,621,1
5.080,621,1
β
5.157,252,1
5.157,252,1
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
5.203,491
5.203,491
β
5.203,491
5.203,491
β
3.500,441
3.500,441
β
1.109,881
1.109,881
β
esnepsuS
.1
0.000,234
0.000,234
β
0.000,063
0.000,063
β
0.000,234
0.000,234
β
3.859,584
3.859,584
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
1.325,206
1.325,206
β
6.058,985
6.058,985
β
2.570,055
2.570,055
β
1.298,775
1.298,775
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
4.612,89
4.612,89
β
1.283,59
1.283,59
β
8.287,901
8.287,901
β
8.019,09
8.019,09
β
secnattimeR.IIX
2.913,87-
8.936,201-
9.613,17-
6.580,311-
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
2.294,87
0.535,201
4.267,27
4.568,78
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
0.371
8.401-
5.544,1
2.022,52-
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
0.371
8.401-
5.544,1
2.022,52-
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
0.371
8.401-
5.544,1
2.648-
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
6.98-
3.51
8.454,3-
5.168
ecnalaB gninepO
)a
4.38
6.98-
2.900,2-
3.51
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
β
β
β
0.473,42-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
289
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
HSEDARP
AYHDAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.874,764,2
8.872,172,2
2.991,691
5.773,523,2
9.461,161,2
5.212,461
3.484,721,3
9.160,559,2
4.224,271
1.926,929,2
5.712,008,2
5.114,921
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
5.173,172
3.271,57
2.991,691
7.993,152
2.781,78
5.212,461
9.830,232
5.616,95
4.224,271
0.449,891
4.235,96
5.114,921
$)stnuoccA
cilbuP
gnidulcxE(
6.593,181
7.897,1
9.695,971
1.325,241
8.418
3.807,141
6.334,141
9.296
7.047,041
2.521,801
6.524
6.996,701
)2 + 1( yaltuO
latipaC
latoT
.I
9.917,571
7.845
2.171,571
5.273,831
8.404
7.769,731
2.221,731
9.241
3.979,631
0.261,601
5.941
5.210,601
)b + a( tnempoleveD
.1
7.038,53
0.34
7.787,53
9.195,92
3.93
5.255,92
0.180,13
3.93
6.140,13
9.299,81
5.94
4.349,81
)9 ot 1( secivreS
laicoS
)a(
8.126,7
0.01
8.116,7
4.323,4
β
4.323,4
3.835,3
β
3.835,3
0.613,1
β
0.613,1
erutluC
dna trA ,stropS ,noitacudE
.1
5.897,2
0.03
5.867,2
7.572,2
0.33
7.242,2
7.047,2
0.33
7.707,2
1.066,1
4.91
7.046,1
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
6.029,21
β
6.029,21
8.287,11
β
8.287,11
8.462,21
β
8.462,21
6.865,7
β
6.865,7
noitatinaS dna ylppuS retaW
.4
8.790,1
β
8.790,1
0.586
β
0.586
0.096
β
0.096
0.727
β
0.727
gnisuoH
.5
4.095,3
β
4.095,3
8.827
β
8.827
8.876
β
8.876
6.559
β
6.559
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
9.820,7
β
9.820,7
0.590,6
β
0.590,6
5.801,6
β
5.801,6
7.334,3
β
7.334,3
sessalC
drawkcaB rehtO dna sebirT
2.572
0.3
2.272
1.332,3
3.6
7.622,3
0.936,4
3.6
7.236,4
9.972,3
1.03
8.942,3
erafleW dna ytiruceS laicoS
.8
5.794
β
5.794
1.864
β
1.864
9.024
β
9.024
9.15
β
9.15
* srehtO
.9
2.988,931
7.505
5.383,931
7.087,801
4.563
2.514,801
2.140,601
5.301
6.739,501
1.961,78
0.001
1.960,78
)01 ot 1( secivreS cimonocE)b(
2.398,1
β
2.398,1
7.091,2
0.052
7.049,1
7.049,1
β
7.049,1
2.568,1
β
2.568,1
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
1.736
β
1.736
1.788
0.052
1.736
1.736
β
1.736
6.512
β
6.512
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
1.783
β
1.783
0.761
β
0.761
0.761
β
0.761
6.022
β
6.022
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
5.3
β
5.3
5.3
β
5.3
5.3
β
5.3
0.3
β
0.3
seirehsiF
)v
0.006
β
0.006
0.008
β
0.008
0.008
β
0.008
3.929
β
3.929
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
5.562
β
5.562
1.333
β
1.333
1.333
β
1.333
7.694
β
7.694
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
8.531,82
β
8.531,82
7.221,02
β
7.221,02
9.465,52
β
9.465,52
9.620,7
β
9.620,7
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
1.880,26
0.583
1.307,16
4.991,94
β
4.991,94
2.498,44
β
2.498,44
1.373,54
β
1.373,54
lortnoC doolF
2.787,6
0.02
2.767,6
1.746,7
6.41
5.236,7
9.480,8
β
9.480,8
4.613,6
β
4.613,6
ygrenE
.5
6.339,2
2.001
5.338,2
3.124,1
3.001
0.123,1
0.214,1
0.301
0.903,1
2.949,1
0.001
2.948,1
)vi ot i( slareniM dna yrtsudnI
.6
0.015,2
0.001
0.014,2
5.910,1
0.001
5.919
5.910,1
0.001
5.919
0.948,1
0.001
0.947,1
seirtsudnI llamS dna egalliV
)i
0.052
β
0.052
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
0.01
β
0.01
5.12
β
5.12
5.9
β
5.9
7.31
β
7.31
seirtsudnI lacigrullateM
7.361
2.0
5.361
3.083
3.0
0.083
0.383
0.3
0.083
5.68
β
5.68
# srehtO
)vi
6.954,73
β
6.954,73
5.724,62
β
5.724,62
5.298,22
β
5.298,22
5.528,32
β
5.528,32
)ii + i( tropsnarT
.7
6.950,73
β
6.950,73
4.560,62
β
4.560,62
4.504,22
β
4.504,22
0.410,32
β
0.410,32
segdirB dna sdaoR
)i
0.004
β
0.004
1.263
β
1.263
1.784
β
1.784
5.118
β
5.118
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
290
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
HSEDARP
AYHDAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.16
β
0.16
5.193
β
5.193
5.193
β
5.193
5.622
β
5.622
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
5.035
5.0
0.035
5.083,1
5.0
0.083,1
5.068
5.0
0.068
3.685
β
3.685
)ii +
i( secivreS
cimonocE
lareneG.01
0.035
β
0.035
0.083,1
β
0.083,1
0.068
β
0.068
8.385
β
8.385
msiruoT
)i
5.0
5.0
β
5.0
5.0
β
5.0
5.0
β
5.2
β
5.2
@@ srehtO
)ii
7.576,5
0.052,1
7.524,4
6.051,4
0.014
6.047,3
4.113,4
0.055
4.167,3
1.369,1
1.672
1.786,1
)secivreS
lareneG( tnempoleveD-noN
.2
4.377,87
4.377,87
β
8.467,24
8.467,24
β
7.117,28
7.117,28
β
2.624,23
2.624,23
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
2.390,71
2.390,71
β
6.982,12
6.982,12
β
6.982,12
6.982,12
β
1.282,41
1.282,41
β
snaoL tekraM
.1
0.801
0.801
β
0.801
0.801
β
0.801
0.801
β
6.701
6.701
β
CIL morf snaoL
.2
5.1
5.1
β
9.2
9.2
β
9.2
9.2
β
8.2
8.2
β
sknaB
rehto dna
IBS morf snaoL
.3
0.007,9
0.007,9
β
0.000,9
0.000,9
β
0.000,9
0.000,9
β
6.438,5
6.438,5
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.063
0.063
β
7.543
7.543
β
0.043
0.043
β
3.892
3.892
β
noitaroproC
0.000,04
0.000,04
β
0.001
0.001
β
0.000,04
0.000,04
β
β
β
β
IBR morf AMW
.6
0.607,7
0.607,7
β
0.005,7
0.005,7
β
0.005,7
0.005,7
β
6.562,7
6.562,7
β
FSSN
ot deussi seitiruceS
laicepS
.7
7.408,3
7.408,3
β
6.814,4
6.814,4
β
2.174,4
2.174,4
β
1.536,4
1.536,4
β
srehtO
.8
1.706,3
1.706,3
β
1.706,3
1.706,3
β
1.706,3
1.706,3
β
1.706,3
1.706,3
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
3.859,8
3.859,8
β
3.850,9
3.850,9
β
3.850,9
3.850,9
β
2.026,7
2.026,7
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
9.838,8
9.838,8
β
9.839,8
9.839,8
β
9.839,8
9.839,8
β
4.385,7
4.385,7
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
2.72
2.72
β
2.72
2.72
β
2.72
2.72
β
β
β
β
semehcS
nalP lartneC
.2
5.55
5.55
β
5.55
5.55
β
5.55
5.55
β
β
β
β
semehcS derosnopS
yllartneC
.3
7.63
7.63
β
7.63
7.63
β
7.63
7.63
β
8.63
8.63
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
7.63
7.63
β
7.63
7.63
β
7.63
7.63
β
8.63
8.63
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
8.542,24
5.346,52
3.206,61
4.651,75
2.256,43
2.405,22
2.838,83
5.651,7
7.186,13
2.577,05
3.360,92
9.117,12
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
8.932,24
5.736,52
3.206,61
4.351,75
2.946,43
2.405,22
2.238,83
5.051,7
7.186,13
2.577,05
3.360,92
9.117,12
)b
+ a( sesopruP
tnempoleveD
.1
6.837,2
0.736,1
6.101,1
1.566,1
0.285,1
1.38
1.295,1
0.285,1
1.01
6.937
9.991
7.935
)7 ot 1 ( secivreS
laicoS
)a
0.001
0.001
β
0.05
0.05
β
0.05
0.05
β
0.001
0.001
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
0.7
0.7
β
0.7
0.7
β
0.7
0.7
β
7.0
7.0
β
)gnisuoH(
stnavreS tnemnrevoG
.6
6.136,2
0.035,1
6.101,1
1.806,1
0.525,1
1.38
1.535,1
0.525,1
1.01
9.836
2.99
7.935
srehtO .7
2.105,93
5.000,42
7.005,51
3.884,55
2.760,33
1.124,22
1.042,73
5.865,5
6.176,13
6.530,05
3.368,82
2.271,12
)01
ot 1( secivreS
cimonocE
)b
5.0
5.0
β
5.0
5.0
β
5.0
5.0
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
0.001,1
0.000,1
0.001
0.015,1
0.000,1
0.015
0.015
β
0.015
9.674,1
9.67
0.004,1
gnisuoheraW
dna egarotS
dooF .3
5.750,2
β
5.750,2
2.695,2
β
2.695,2
1.621,2
β
1.621,2
1.565,1
β
1.565,1
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
6.182,33
0.000,32
6.182,01
0.064,84
7.660,23
3.393,61
9.186,13
0.865,5
9.311,62
6.315,34
5.687,82
2.727,41
stcejorP
rewoP .6Appendix IV
291
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
HSEDARP
AYHDAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
6.165
β
6.165
6.124
β
6.124
6.124
β
6.124
0.089
β
0.089
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
0.005,2
β
0.005,2
0.005,2
β
0.005,2
0.005,2
β
0.005,2
0.005,2
β
0.005,2
srehtO.01
0.6
0.6
β
0.3
0.3
β
0.6
0.6
β
β
β
β
)b + a(
sesopruP tnempoleveD-noN
.2
0.6
0.6
β
0.3
0.3
β
0.6
0.6
β
β
β
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
6.32
6.32
β
tnemeltteS
etatS-retnI
.V
0.000,5
0.000,5
β
0.000,5
0.000,5
β
0.000,2
0.000,2
β
β
β
β
dnuF ycnegnitnoC
.IV
0.061,22
0.061,22
β
3.875,71
3.875,71
β
4.685,61
4.685,61
β
7.263,81
7.263,81
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
5.700,02
5.700,02
β
0.007,41
0.007,41
β
0.007,41
0.007,41
β
8.915,61
8.915,61
β
sdnuF tnedivorP
etatS
.1
5.251,2
5.251,2
β
3.878,2
3.878,2
β
4.688,1
4.688,1
β
9.248,1
9.248,1
β
srehtO
.2
4.889,51
4.889,51
β
3.690,02
3.690,02
β
2.190,51
2.190,51
β
4.934,6
4.934,6
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
gnikniS
.2
1.1
1.1
β
0.1
0.1
β
0.1
0.1
β
β
β
β
dnuF feileR
enimaF
.3
3.789,51
3.789,51
β
3.590,02
3.590,02
β
2.090,51
2.090,51
β
4.934,6
4.934,6
β
srehtO
.4
6.056,581
6.056,581
β
7.407,371
7.407,371
β
1.922,171
1.922,171
β
9.575,801
9.575,801
β
)4 ot 1( secnavdA dna
stisopeD
.XI
9.783,84
9.783,84
β
2.279,26
2.279,26
β
2.279,26
2.279,26
β
6.280,25
6.280,25
β
stisopeD
liviC
.1
5.01
5.01
β
5.262
5.262
β
5.262
5.262
β
7.531
7.531
β
sdnuF lacoL fo stisopeD
.2
2.928,6
2.928,6
β
2.405,6
2.405,6
β
1.920,4
1.920,4
β
8.720,6
8.720,6
β
secnavdA
liviC
.3
0.324,031
0.324,031
β
8.569,301
8.569,301
β
3.569,301
3.569,301
β
8.923,05
8.923,05
β
srehtO
.4
7.911,787,1
7.911,787,1
β
8.489,027,1
8.489,027,1
β
1.520,715,2
1.520,715,2
β
3.511,444,2
3.511,444,2
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
0.050,1
0.050,1
β
0.000,1
0.000,1
β
0.000,1
0.000,1
β
3.583
3.583
β
esnepsuS
.1
0.140,849
0.140,849
β
0.026,109
0.026,109
β
0.529,049,1
0.529,049,1
β
0.298,313,1
0.298,313,1
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
6.128,68
6.128,68
β
2.786,28
2.786,28
β
0.000,5
0.000,5
β
0.589,584
0.589,584
β
IBR htiw stisopeD
.3
1.702,157
1.702,157
β
6.776,537
6.776,537
β
1.001,075
1.001,075
β
9.258,346
9.258,346
β
srehtO
.4
β
β
β
0.000,3
0.000,3
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
3.681,041
3.681,041
β
7.015,331
7.015,331
β
7.015,331
7.015,331
β
4.561,351
4.561,351
β
secnattimeR.IIX
7.978,55
0.517,36
5.397,44
8.497,85
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
6.851,47-
8.969,18-
2.296,35-
2.805,38-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
0.972,81-
8.452,81-
8.898,8-
4.317,42-
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
0.972,81-
8.452,81-
8.898,8-
4.317,42-
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
5.738,3-
8.420,3-
0.585,4-
6.953,4
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
7.292,1-
1.237,1
8.618,3
5.726,2-
ecnalaB gninepO
)a
2.031,5-
7.292,1-
2.867-
1.237,1
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
5.144,41-
0.032,51-
8.313,4-
0.370,92-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
292
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
ARTHSARAHAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
6.459,918,4
3.173,875,4
3.385,142
5.478,981,4
9.269,979,3
6.119,902
1.177,995,4
5.621,553,4
6.446,442
0.941,699,4
9.096,308,4
1.854,291
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
9.183,083
6.897,831
3.385,142
2.355,233
7.146,221
6.119,902
5.333,663
8.886,121
6.446,442
0.472,913
9.518,621
1.854,291
$)stnuoccA
cilbuP
gnidulcxE(
2.240,172
7.566,33
6.673,732
2.224,332
7.355,92
6.868,302
6.351,962
4.644,92
1.707,932
5.402,002
0.993,32
4.508,671
)2 + 1( yaltuO
latipaC
latoT
.I
8.886,552
1.940,92
7.936,622
7.938,812
5.519,32
2.429,491
3.682,452
3.150,32
0.532,132
3.918,981
4.389,02
9.538,861
)b + a( tnempoleveD
.1
7.871,83
3.692,5
4.288,23
0.165,82
4.141,2
6.914,62
8.838,63
4.931,2
4.996,43
4.937,22
7.668
7.278,12
)9 ot 1( secivreS
laicoS
)a(
7.363,2
β
7.363,2
2.792,2
β
2.792,2
4.262,2
β
4.262,2
4.220,1
β
4.220,1
erutluC
dna trA ,stropS ,noitacudE
.1
4.815,5
β
4.815,5
4.081,6
β
4.081,6
8.226,5
β
8.226,5
0.035,5
β
0.035,5
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
1.582,5
1.582,5
β
7.131,2
7.131,2
β
2.821,2
2.821,2
β
5.297
5.297
β
noitatinaS dna ylppuS retaW
.4
5.426
β
5.426
1.895
β
1.895
5.496
β
5.496
1.706
β
1.706
gnisuoH
.5
7.0
7.0
β
2.816,2
7.0
5.716,2
7.36
7.0
0.36
1.847,5
6.0
5.747,5
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
3.573,22
β
3.573,22
9.364,21
β
9.364,21
3.567,32
β
3.567,32
9.950,7
β
9.950,7
sessalC
drawkcaB rehtO dna sebirT
9.156
5.01
4.146
8.784
0.9
8.874
6.983
5.01
1.973
5.267
6.37
8.886
erafleW dna ytiruceS laicoS
.8
0.953,1
β
0.953,1
6.387,1
β
6.387,1
2.219,1
β
2.219,1
1.712,1
β
1.712,1
* srehtO
.9
1.015,712
8.257,32
4.757,391
7.872,091
1.477,12
6.405,861
5.744,712
8.119,02
7.535,691
9.970,761
7.611,02
2.369,641
)01 ot 1( secivreS cimonocE)b(
8.926,83
6.103,9
2.823,92
0.983,14
2.154,8
8.739,23
6.210,73
7.557,7
9.652,92
5.346,41
7.550,4
8.785,01
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
β
β
β
β
β
β
β
β
β
1.0-
β
β
yrdnabsuH porC
)i
1.981,42
4.781
7.100,42
1.494,52
9.271
2.123,52
4.851,52
2.571
2.389,42
2.643,7
7.651
5.981,7
noitavresnoC retaW dna lioS
)ii
1.645
β
1.645
3.564
β
3.564
4.975
β
4.975
5.952
β
5.952
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
8.726
β
8.726
6.766
β
6.766
2.977
β
2.977
8.495
β
8.495
seirehsiF
)v
3.767,2
7.61
6.057,2
0.392,2
6.9
5.382,2
0.067,1
8.51
2.447,1
9.856,1
3.41
5.446,1
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
0.842,9
5.790,9
5.051
7.268,8
7.862,8
0.495
9.987,7
7.465,7
2.522
4.711,4
7.488,3
7.232
gnisuoheraW
dna egarotS dooF)iiiv
6.863
β
6.863
9.54
β
9.54
0.84
β
0.84
2.012
β
2.012
noitacudE
dna hcraeseR larutlucirgA
)xi
0.388
β
0.388
3.025,3
β
3.025,3
7.758
β
7.758
7.924
β
7.924
noitarepo-oC
)x
β
β
β
0.04
β
0.04
0.04
β
0.04
0.72
β
0.72
@ srehtO
)ix
6.011,76
β
6.011,76
7.297,11
β
7.297,11
8.040,06
β
8.040,06
7.820,8
β
7.820,8
tnempoleveD laruR
.2
0.509
β
0.509
0.509
β
0.509
0.509
β
0.509
1.117
β
1.117
semmargorP aerA laicepS
.3
0.509
β
0.509
0.509
β
0.509
0.509
β
0.509
1.117
β
1.117
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
9.226,85
2.998,01
7.327,74
0.592,87
5.477,9
5.025,86
0.521,96
3.728,9
6.792,95
1.587,87
3.612,9
9.865,96
lortnoC doolF
5.386,11
β
5.386,11
9.535,81
β
9.535,81
5.436,12
β
5.436,12
9.585,61
β
9.585,61
ygrenE
.5
2.836
β
2.836
6.922,1
β
6.922,1
9.166
β
9.166
9.3
β
9.3
)vi ot i( slareniM dna yrtsudnI
.6
2.83
β
2.83
6.97
β
6.97
0.63
β
0.63
9.3
β
9.3
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
0.006
β
0.006
0.051,1
β
0.051,1
9.526
β
9.526
β
β
β
# srehtO
)vi
1.341,93
0.809,2
1.532,63
6.982,73
0.809,2
6.183,43
7.034,72
0.809,2
7.225,42
8.088,54
9.865,4
0.213,14
)ii + i( tropsnarT
.7
1.532,63
β
1.532,63
6.183,43
β
6.183,43
7.225,42
β
7.225,42
0.213,14
β
0.213,14
segdirB dna sdaoR
)i
0.809,2
0.809,2
β
0.809,2
0.809,2
β
0.809,2
0.809,2
β
9.865,4
9.865,4
β
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
293
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
ARTHSARAHAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
1.777
0.446
1.331
9.148
4.046
5.102
0.736
8.024
2.612
7.044,2
8.572,2
9.461
)ii +
i( secivreS
cimonocE
lareneG.01
2.711
β
2.711
9.291
β
9.291
2.702
β
2.702
0.061
β
0.061
msiruoT
)i
8.956
0.446
9.51
9.846
4.046
6.8
8.924
8.024
9.8
7.082,2
8.572,2
9.4
@@ srehtO
)ii
4.353,51
6.616,4
8.637,01
6.285,41
2.836,5
4.449,8
3.768,41
2.593,6
1.274,8
2.583,01
7.514,2
5.969,7
)secivreS
lareneG( tnempoleveD-noN
.2
8.978,811
8.978,811
β
2.434,901
2.434,901
β
7.368,901
7.368,901
β
2.434,501
2.434,501
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
2.950,53
2.950,53
β
4.022,82
4.022,82
β
4.022,82
4.022,82
β
2.763,44
2.763,44
β
snaoL tekraM
.1
2.790,2
2.790,2
β
2.890,2
2.890,2
β
2.890,2
2.890,2
β
3.990,2
3.990,2
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
2.801,8
2.801,8
β
2.587,7
2.587,7
β
2.587,7
2.587,7
β
2.870,6
2.870,6
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.009,1
0.009,1
β
9.077,1
9.077,1
β
0.002,2
0.002,2
β
5.608,1
5.608,1
β
noitaroproC
0.000,03
0.000,03
β
0.000,03
0.000,03
β
0.000,03
0.000,03
β
3.325,11
3.325,11
β
IBR morf AMW
.6
2.030,04
2.030,04
β
2.378,73
2.378,73
β
2.378,73
2.378,73
β
4.401,73
4.401,73
β
FSSN
ot deussi seitiruceS
laicepS
.7
0.586,1
0.586,1
β
2.686,1
2.686,1
β
6.686,1
6.686,1
β
2.554,2
2.554,2
β
srehtO
.8
2.0
2.0
β
β
β
β
5.0
5.0
β
6.0
6.0
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
5.167,01
5.167,01
β
0.441,9
0.441,9
β
2.094,7
2.094,7
β
7.707,8
7.707,8
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
3.307,01
3.307,01
β
9.480,9
9.480,9
β
7.824,7
7.824,7
β
6.746,8
6.746,8
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
2.85
2.85
β
0.95
0.95
β
5.16
5.16
β
1.06
1.06
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
2.85
2.85
β
0.95
0.95
β
5.16
5.16
β
1.06
1.06
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
3.896,9
6.194,5
8.602,4
9.255,01
9.905,4
0.340,6
0.628,9
5.888,4
5.739,4
0.154,61
2.897
7.256,51
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
7.089,8
9.377,4
8.602,4
5.020,01
5.779,3
0.340,6
7.171,9
2.432,4
5.739,4
0.230,61
3.973
7.256,51
)b
+ a( sesopruP
tnempoleveD
.1
9.765,5
9.362,4
0.403,1
8.326,5
5.754,3
2.661,2
3.708,5
1.496,3
2.311,2
2.178,4
1.319,2
1.859,1
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
6.64
6.64
β
8.94
8.94
β
8.94
8.94
β
5.04
5.04
β
noitatinaS
dna ylppuS
retaW .4
0.8
0.8
β
5.44
8.6
7.73
3.24
3.7
0.53
2.18
1.6
1.57
gnisuoH .5
2.902,4
2.902,4
β
9.004,3
9.004,3
β
9.636,3
9.636,3
β
5.668,2
5.668,2
β
)gnisuoH(
stnavreS tnemnrevoG
.6
1.403,1
1.0
0.403,1
6.821,2
1.0
5.821,2
3.870,2
1.0
2.870,2
0.388,1
β
0.388,1
srehtO .7
8.214,3
0.015
8.209,2
7.693,4
0.025
7.678,3
4.463,3
1.045
3.428,2
8.061,11
8.335,2-
6.496,31
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
1.0
1.0
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
6.788
0.015
6.773
5.576
0.025
5.551
1.726
0.045
1.78
2.207
4.06
7.146
noitarepo-oC
.4
0.07
β
0.07
0.09
β
0.09
0.05
β
0.05
0.08
β
0.08
.cte
,noitagirrI
muideM dna
rojaM .5
1.972,2
β
1.972,2
0.904,3
β
0.904,3
2.826,2
β
2.826,2
1.440,01
2.495,2-
3.836,21
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
294
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
ARTHSARAHAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
6.03
β
6.03
9.501
β
9.501
8.23
β
8.23
2.71
β
2.71
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
5.541
β
5.541
3.611
β
3.611
3.62
β
3.62
3.713
β
3.713
srehtO.01
7.717
7.717
β
4.235
4.235
β
3.456
3.456
β
9.814
9.814
β
)b + a(
sesopruP tnempoleveD-noN
.2
7.717
7.717
β
4.235
4.235
β
3.456
3.456
β
9.814
9.814
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
0.006,31
0.006,31
β
dnuF ycnegnitnoC
.IV
8.348,63
8.348,63
β
7.462,33
7.462,33
β
1.113,23
1.113,23
β
7.647,92
7.647,92
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
9.695,33
9.695,33
β
6.245,03
6.245,03
β
8.229,82
8.229,82
β
0.667,72
0.667,72
β
sdnuF tnedivorP
etatS
.1
9.642,3
9.642,3
β
1.227,2
1.227,2
β
3.883,3
3.883,3
β
7.089,1
7.089,1
β
srehtO
.2
8.223,45
8.223,45
β
8.957,34
8.957,34
β
2.433,43
2.433,43
β
9.012,95
9.012,95
β
)4 ot 1( sdnuF
evreseR.IIIV
5.0
5.0
β
5.0
5.0
β
5.0
5.0
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
0.002,22
0.002,22
β
0.009,81
0.009,81
β
0.009,81
0.009,81
β
3.622,13
3.622,13
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
3.221,23
3.221,23
β
3.958,42
3.958,42
β
7.334,51
7.334,51
β
6.489,72
6.489,72
β
srehtO
.4
8.737,942
8.737,942
β
2.378,732
2.378,732
β
7.732,222
7.732,222
β
0.157,552
0.157,552
β
)4 ot 1( secnavdA dna
stisopeD
.XI
7.015,222
7.015,222
β
7.936,212
7.936,212
β
8.532,712
8.532,712
β
6.095,942
6.095,942
β
stisopeD
liviC
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF lacoL fo stisopeD
.2
4.290,5
4.290,5
β
9.923,4
9.923,4
β
9.923,4
9.923,4
β
3.948,4
3.948,4
β
secnavdA
liviC
.3
6.431,22
6.431,22
β
6.309,02
6.309,02
β
1.276
1.276
β
2.113,1
2.113,1
β
srehtO
.4
5.136,288,3
5.136,288,3
β
4.542,533,3
4.542,533,3
β
5.414,446,3
5.414,446,3
β
3.492,650,4
3.492,650,4
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
6.6
6.6
β
3.6
3.6
β
5.413
5.413
β
4.412-
4.412-
β
esnepsuS
.1
0.000,726,3
0.000,726,3
β
0.196,190,3
0.196,190,3
β
0.000,006,3
0.000,006,3
β
5.957,550,4
5.957,550,4
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
9.426,552
9.426,552
β
0.845,342
0.845,342
β
1.001,44
1.001,44
β
3.947
3.947
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
8.630,681
8.630,681
β
2.871,771
2.871,771
β
0.041,072
0.041,072
β
6.847,052
6.847,052
β
secnattimeR.IIX
0.475,73-
1.438,831-
2.130,14-
1.608,05-
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
9.446,56
0.050,421
3.252,23
6.574,8
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
0.170,82
1.487,41-
9.877,8-
5.033,24-
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
0.170,82
1.487,41-
9.877,8-
5.033,24-
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
0.170,1
1.574,6-
9.865
9.176,7
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
0.591-
1.082,6
4.605-
8.193,1-
ecnalaB gninepO
)a
0.678
0.591-
5.26
1.082,6
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
0.000,72
0.903,8-
8.743,9-
4.200,05-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
295
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
RUPINAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.199,242
3.312,032
8.777,21
5.228,542
8.037,622
6.190,91
2.272,442
0.977,622
2.394,71
4.241,971
4.322,661
0.919,21
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
3.378,61
6.590,4
8.777,21
4.578,12
7.387,2
6.190,91
4.249,91
2.944,2
2.394,71
9.045,41
9.126,1
0.919,21
$)stnuoccA
cilbuP
gnidulcxE(
9.777,21
1.0
8.777,21
7.199,81
1.0
6.199,81
3.393,71
1.0
2.393,71
9.819,21
1.0-
0.919,21
)2 + 1( yaltuO
latipaC
latoT
.I
3.048,01
1.0
2.048,01
9.164,51
1.0
7.164,51
3.069,11
1.0
2.069,11
7.517,01
1.0-
8.517,01
)b + a( tnempoleveD
.1
6.155,3
1.0
5.155,3
4.155,6
1.0
3.155,6
2.380,4
1.0
0.380,4
5.082,3
1.0
3.082,3
)9 ot 1( secivreS
laicoS
)a(
4.824
β
4.824
0.608,1
β
0.608,1
9.310,1
β
9.310,1
4.793
β
4.793
erutluC
dna trA ,stropS ,noitacudE
.1
9.803
β
9.803
5.785,1
β
5.785,1
5.204
β
5.204
6.141,1
β
6.141,1
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
6.851,2
β
6.851,2
1.108,1
β
1.108,1
7.755,1
β
7.755,1
1.667
β
1.667
noitatinaS dna ylppuS retaW
.4
1.03
1.0
0.03
1.03
1.0
0.03
1.03
1.0
0.03
6.05
1.0
4.05
gnisuoH
.5
5.713
β
5.713
8.226
β
8.226
3.929
β
3.929
6.415
β
6.415
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
1.672
β
1.672
8.554
β
8.554
2.641
β
2.641
7.872
β
7.872
sessalC
drawkcaB rehtO dna sebirT
5.1
β
5.1
4.622
β
4.622
5.1
β
5.1
5.121
β
5.121
erafleW dna ytiruceS laicoS
.8
5.03
β
5.03
5.12
β
5.12
0.2
β
0.2
0.01
β
0.01
* srehtO
.9
7.882,7
β
7.882,7
5.019,8
β
5.019,8
2.778,7
β
2.778,7
2.534,7
2.0-
4.534,7
)01 ot 1( secivreS cimonocE)b(
5.18
β
5.18
1.37
β
1.37
6.65
β
6.65
2.811
2.0-
4.811
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
8.21
β
8.21
0.02
β
0.02
β
β
β
3.9
7.01-
0.02
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
1.31
β
1.31
2.12
β
2.12
2.12
β
2.12
9.14
β
9.14
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
1.31
β
1.31
9.72
β
9.72
4.13
β
4.13
0.51
β
0.51
seirehsiF
)v
β
β
β
β
β
β
β
β
β
β
β
β
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
7.94
5.01
2.93
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
5.24
β
5.24
9.3
β
9.3
9.3
β
9.3
2.2
β
2.2
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.2
7.534
β
7.534
9.177
β
9.177
9.774
β
9.774
3.316
β
3.316
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
0.251,3
β
0.251,3
3.599,3
β
3.599,3
1.249,5
β
1.249,5
9.427,1
β
9.427,1
lortnoC doolF
7.044
β
7.044
4.377
β
4.377
0.87
β
0.87
5.389,1
β
5.389,1
ygrenE
.5
2.02
β
2.02
4.542
β
4.542
6.625
β
6.625
3.751
β
3.751
)vi ot i( slareniM dna yrtsudnI
.6
0.2
β
0.2
5.932
β
5.932
7.025
β
7.025
0.551
β
0.551
seirtsudnI llamS dna egalliV
)i
β
β
β
3.0
β
3.0
3.0
β
3.0
1.0
β
1.0
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
2.81
β
2.81
6.5
β
6.5
6.5
β
6.5
1.2
β
1.2
# srehtO
)vi
9.157,2
β
9.157,2
5.442,2
β
5.442,2
0.324
β
0.324
7.625,2
β
7.625,2
)ii + i( tropsnarT
.7
9.117,2
β
9.117,2
5.442,2
β
5.442,2
0.324
β
0.324
7.625,2
β
7.625,2
segdirB dna sdaoR
)i
0.04
β
0.04
β
β
β
β
β
β
β
β
β
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
296
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
RUPINAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.07
β
0.07
0.52
β
0.52
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
7.633
β
7.633
9.187
β
9.187
0.373
β
0.373
4.113
β
4.113
)ii +
i( secivreS
cimonocE
lareneG.01
7.633
β
7.633
9.187
β
9.187
0.373
β
0.373
4.503
β
4.503
msiruoT
)i
β
β
β
β
β
β
β
β
β
0.6
β
0.6
@@ srehtO
)ii
6.739,1
β
6.739,1
9.925,3
β
9.925,3
0.334,5
β
0.334,5
2.302,2
β
2.302,2
)secivreS
lareneG( tnempoleveD-noN
.2
2.816,3
2.816,3
β
0.923,2
0.923,2
β
4.589,1
4.589,1
β
1.578,4
1.578,4
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
0.037,2
0.037,2
β
6.062,1
6.062,1
β
6.062,1
6.062,1
β
3.816
3.816
β
snaoL tekraM
.1
β
β
β
β
β
β
β
β
β
β
β
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
9.762
9.762
β
7.402
7.402
β
7.402
7.402
β
6.801
6.801
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
β
β
β
β
β
β
β
β
β
β
β
β
noitaroproC
β
β
β
β
β
β
β
β
β
3.427,3
3.427,3
β
IBR morf AMW
.6
0.544
0.544
β
0.544
0.544
β
0.134
0.134
β
6.343
6.343
β
FSSN
ot deussi seitiruceS
laicepS
.7
2.571
2.571
β
7.814
7.814
β
1.98
1.98
β
2.08
2.08
β
srehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
3.144
3.144
β
7.144
7.144
β
7.144
7.144
β
8.074
8.074
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
5.95
5.95
β
5.95
5.95
β
5.95
5.95
β
8.75
8.75
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
1.973
1.973
β
1.973
1.973
β
1.973
1.973
β
5.904
5.904
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
1.973
1.973
β
1.973
1.973
β
1.973
1.973
β
5.904
5.904
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
7.2
7.2
β
0.3
0.3
β
0.3
0.3
β
6.3
6.3
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
0.63
0.63
β
0.311
0.31
0.001
0.221
0.22
0.001
4.0
4.0
β
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
0.4
0.4
β
0.401
0.4
0.001
0.401
0.4
0.001
β
β
β
)b
+ a( sesopruP
tnempoleveD
.1
0.4
0.4
β
0.4
0.4
β
0.4
0.4
β
β
β
β
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
0.4
0.4
β
0.4
0.4
β
0.4
0.4
β
β
β
β
)gnisuoH(
stnavreS tnemnrevoG
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO .7
β
β
β
0.001
β
0.001
0.001
β
0.001
β
β
β
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
β
β
β
0.001
β
0.001
0.001
β
0.001
β
β
β
stcejorP
rewoP .6Appendix IV
297
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
RUPINAM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
β
β
β
β
β
β
β
β
β
β
β
β
srehtO.01
0.23
0.23
β
0.9
0.9
β
0.81
0.81
β
4.0
4.0
β
)b + a(
sesopruP tnempoleveD-noN
.2
0.23
0.23
β
0.9
0.9
β
0.81
0.81
β
4.0
4.0
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
0.030,2
0.030,2
β
6.129,1
6.129,1
β
6.129,1
6.129,1
β
3.197,1
3.197,1
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
0.000,2
0.000,2
β
0.009,1
0.009,1
β
0.009,1
0.009,1
β
7.467,1
7.467,1
β
sdnuF tnedivorP
etatS
.1
0.03
0.03
β
6.12
6.12
β
6.12
6.12
β
6.62
6.62
β
srehtO
.2
7.183
7.183
β
5.964
5.964
β
2.734
2.734
β
7.244
7.244
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
0.472
0.472
β
7.352
7.352
β
7.352
7.352
β
4.563
4.563
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
7.701
7.701
β
8.512
8.512
β
5.381
5.381
β
3.77
3.77
β
srehtO
.4
0.007,7
0.007,7
β
0.055,7
0.055,7
β
0.569,7
0.569,7
β
3.776,8
3.776,8
β
)4 ot 1( secnavdA dna
stisopeD
.XI
0.005,3
0.005,3
β
0.005,3
0.005,3
β
0.001,4
0.001,4
β
9.261,4
9.261,4
β
stisopeD
liviC
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF lacoL fo stisopeD
.2
0.003
0.003
β
0.002
0.002
β
0.002
0.002
β
4.542
4.542
β
secnavdA
liviC
.3
0.009,3
0.009,3
β
0.058,3
0.058,3
β
0.566,3
0.566,3
β
0.962,4
0.962,4
β
srehtO
.4
0.600,291
0.600,291
β
0.605,981
0.605,981
β
0.605,981
0.605,981
β
5.822,421
5.822,421
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
0.007
0.007
β
0.007
0.007
β
0.007
0.007
β
0.153,1
0.153,1
β
esnepsuS
.1
0.007,091
0.007,091
β
0.002,881
0.002,881
β
0.002,881
0.002,881
β
1.611,221
1.611,221
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
0.606
0.606
β
0.606
0.606
β
0.606
0.606
β
5.167
5.167
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
0.000,42
0.000,42
β
0.005,42
0.005,42
β
0.005,42
0.005,42
β
3.737,52
3.737,52
β
secnattimeR.IIX
7.729,6
4.137,9
0.889,11
6.936,51
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
0.589,6-
5.799,41-
2.429,31-
0.287,9-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
3.75-
1.662,5-
1.639,1-
6.758,5
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
3.75-
1.662,5-
1.639,1-
6.758,5
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
3.75-
1.667,2-
1.639,1-
7.157,1
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
3.744,3-
3.186-
4.269,3-
0.334,2-
ecnalaB gninepO
)a
6.405,3-
3.744,3-
6.898,5-
3.186-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
β
0.005,2-
β
7.621,3
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
2.979
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
298
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
AYALAHGEM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.546,322
6.806,702
4.630,61
8.391,412
5.940,791
2.441,71
4.138,312
4.476,691
9.651,71
8.354,791
1.996,681
7.457,01
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
7.716,91
2.185,3
4.630,61
9.309,91
7.957,2
2.441,71
9.309,91
0.747,2
9.651,71
2.495,21
5.938,1
7.457,01
$)stnuoccA
cilbuP
gnidulcxE(
4.630,61
β
4.630,61
2.441,71
β
2.441,71
2.441,71
β
2.441,71
7.457,01
β
7.457,01
)2 + 1( yaltuO
latipaC
latoT
.I
6.590,51
β
6.590,51
9.968,51
β
9.968,51
9.968,51
β
9.968,51
5.609,9
β
5.609,9
)b + a( tnempoleveD
.1
8.766,6
β
8.766,6
2.326,7
β
2.326,7
2.326,7
β
2.326,7
1.119,3
β
1.119,3
)9 ot 1( secivreS
laicoS
)a(
3.205
β
3.205
2.914
β
2.914
2.914
β
2.914
6.252
β
6.252
erutluC
dna trA ,stropS ,noitacudE
.1
4.689
β
4.689
5.199
β
5.199
5.199
β
5.199
2.069
β
2.069
htlaeH cilbuP dna lacideM
.2
β
β
β
0.5
β
0.5
0.5
β
0.5
β
β
β
erafleW ylimaF
.3
4.472,3
β
4.472,3
1.772,3
β
1.772,3
1.772,3
β
1.772,3
9.853,1
β
9.853,1
noitatinaS dna ylppuS retaW
.4
9.572
β
9.572
6.165
β
6.165
6.165
β
6.165
8.581
β
8.581
gnisuoH
.5
5.845,1
β
5.845,1
5.840,2
β
5.840,2
5.840,2
β
5.840,2
7.511,1
β
7.511,1
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
β
β
β
β
β
β
β
β
β
β
β
β
sessalC
drawkcaB rehtO dna sebirT
3.08
β
3.08
3.023
β
3.023
3.023
β
3.023
8.73
β
8.73
erafleW dna ytiruceS laicoS
.8
β
β
β
β
β
β
β
β
β
β
β
β
* srehtO
.9
8.724,8
β
8.724,8
7.642,8
β
7.642,8
7.642,8
β
7.642,8
4.599,5
β
4.599,5
)01 ot 1( secivreS cimonocE)b(
9.592
β
9.592
4.072
β
4.072
4.072
β
4.072
4.361
β
4.361
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
0.92
β
0.92
0.92
β
0.92
0.92
β
0.92
4.55
β
4.55
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
3.96
β
3.96
3.96
β
3.96
3.96
β
3.96
3.61
β
3.61
seirehsiF
)v
8.101
β
8.101
3.13
β
3.13
3.13
β
3.13
9.5
β
9.5
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
0.09
β
0.09
0.531
β
0.531
0.531
β
0.531
9.97
β
9.97
noitarepo-oC
)x
8.5
β
8.5
8.5
β
8.5
8.5
β
8.5
0.6
β
0.6
@ srehtO
)ix
0.4
β
0.4
0.4
β
0.4
0.4
β
0.4
0.2
β
0.2
tnempoleveD laruR
.2
6.507
β
6.507
1.336
β
1.336
1.336
β
1.336
6.214
β
6.214
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
8.011,1
β
8.011,1
8.516,1
β
8.516,1
8.516,1
β
8.516,1
2.16
β
2.16
lortnoC doolF
β
β
β
β
β
β
β
β
β
β
β
β
ygrenE
.5
5.173
β
5.173
6.86
β
6.86
6.86
β
6.86
9.333
β
9.333
)vi ot i( slareniM dna yrtsudnI
.6
5.002
β
5.002
0.04
β
0.04
0.04
β
0.04
5.06
β
5.06
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
0.171
β
0.171
6.82
β
6.82
6.82
β
6.82
4.372
β
4.372
# srehtO
)vi
9.868,5
β
9.868,5
7.395,5
β
7.395,5
7.395,5
β
7.395,5
5.599,4
β
5.599,4
)ii + i( tropsnarT
.7
5.497,5
β
5.497,5
3.915,5
β
3.915,5
3.915,5
β
3.915,5
7.458,4
β
7.458,4
segdirB dna sdaoR
)i
4.47
β
4.47
4.47
β
4.47
4.47
β
4.47
8.041
β
8.041
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
299
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
AYALAHGEM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
1.17
β
1.17
1.16
β
1.16
1.16
β
1.16
9.62
β
9.62
)ii +
i( secivreS
cimonocE
lareneG.01
1.12
β
1.12
1.11
β
1.11
1.11
β
1.11
9.62
β
9.62
msiruoT
)i
0.05
β
0.05
0.05
β
0.05
0.05
β
0.05
β
β
β
@@ srehtO
)ii
8.049
β
8.049
3.472,1
β
3.472,1
3.472,1
β
3.472,1
2.848
β
2.848
)secivreS
lareneG( tnempoleveD-noN
.2
5.206,4
5.206,4
β
7.603,2
7.603,2
β
7.603,2
7.603,2
β
7.397,2
7.397,2
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
1.302,2
1.302,2
β
8.020,1
8.020,1
β
8.020,1
8.020,1
β
5.435
5.435
β
snaoL tekraM
.1
5.0
5.0
β
0.1
0.1
β
0.1
0.1
β
5.0
5.0
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
0.085
0.085
β
0.075
0.075
β
0.075
0.075
β
8.914
8.914
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.4
0.4
β
0.5
0.5
β
0.5
0.5
β
9.3
9.3
β
noitaroproC
0.005,1
0.005,1
β
0.504
0.504
β
0.504
0.504
β
9.075,1
9.075,1
β
IBR morf AMW
.6
0.091
0.091
β
0.071
0.071
β
0.071
0.071
β
6.641
6.641
β
FSSN
ot deussi seitiruceS
laicepS
.7
9.421
9.421
β
9.431
9.431
β
9.431
9.431
β
5.711
5.711
β
srehtO
.8
0.41
0.41
β
0.41
0.41
β
0.41
0.41
β
0.41
0.41
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
7.991
7.991
β
7.791
7.791
β
7.791
7.791
β
4.391
4.391
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
9.981
9.981
β
8.681
8.681
β
8.681
8.681
β
5.681
5.681
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
7.0
7.0
β
7.0
7.0
β
7.0
7.0
β
8.3-
8.3-
β
semehcS derosnopS
yllartneC
.3
8.2
8.2
β
9.2
9.2
β
9.2
9.2
β
1.3
1.3
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
8.2
8.2
β
9.2
9.2
β
9.2
9.2
β
1.3
1.3
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
3.6
3.6
β
3.7
3.7
β
3.7
3.7
β
6.7
6.7
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
0.972
0.972
β
3.066
3.066
β
3.066
6.746
7.21
3.324
3.324
β
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
1.401
1.401
β
1.394
1.394
β
1.394
4.084
7.21
7.162
7.162
β
)b
+ a( sesopruP
tnempoleveD
.1
8.2
8.2
β
8.3
8.3
β
8.3
8.3
β
7.0
7.0
β
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
6.1
6.1
β
6.2
6.2
β
6.2
6.2
β
7.0
7.0
β
)gnisuoH(
stnavreS tnemnrevoG
.6
2.1
2.1
β
2.1
2.1
β
2.1
2.1
β
β
β
β
srehtO .7
3.101
3.101
β
3.984
3.984
β
3.984
6.674
7.21
0.162
0.162
β
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
β
β
β
7.21
7.21
β
7.21
β
7.21
β
β
β
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
0.69
0.69
β
1.674
1.674
β
1.674
1.674
β
0.162
0.162
β
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
300
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
AYALAHGEM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
3.5
3.5
β
5.0
5.0
β
5.0
5.0
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
β
β
β
β
β
β
β
β
β
β
β
β
srehtO.01
9.471
9.471
β
2.761
2.761
β
2.761
2.761
β
6.161
6.161
β
)b + a(
sesopruP tnempoleveD-noN
.2
9.471
9.471
β
2.761
2.761
β
2.761
2.761
β
6.161
6.161
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
0.050,1
0.050,1
β
0.050,1
0.050,1
β
0.050,1
0.050,1
β
0.050,1
0.050,1
β
dnuF ycnegnitnoC
.IV
5.513,1
5.513,1
β
3.462,1
3.462,1
β
3.412,1
3.412,1
β
7.801,1
7.801,1
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
5.513,1
5.513,1
β
3.462,1
3.462,1
β
3.412,1
3.412,1
β
7.801,1
7.801,1
β
sdnuF tnedivorP
etatS
.1
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.2
8.335
8.335
β
3.834
3.834
β
3.834
3.834
β
8.612
8.612
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
8.313
8.313
β
2.052
2.052
β
2.052
2.052
β
8.612
8.612
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
0.022
0.022
β
1.881
1.881
β
1.881
1.881
β
β
β
β
srehtO
.4
4.992,8
4.992,8
β
0.160,3
0.160,3
β
2.226,4
2.226,4
β
5.311,11
5.311,11
β
)4 ot 1( secnavdA dna
stisopeD
.XI
7.929,6
7.929,6
β
8.823,2
8.823,2
β
0.099,3
0.099,3
β
0.269,9
0.269,9
β
stisopeD
liviC
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF lacoL fo stisopeD
.2
9.403,1
9.403,1
β
2.237
2.237
β
2.236
2.236
β
9.570,1
9.570,1
β
secnavdA
liviC
.3
8.46
8.46
β
β
β
β
β
β
β
5.57
5.57
β
srehtO
.4
5.823,761
5.823,761
β
2.449,461
2.449,461
β
9.567,161
9.567,161
β
3.511,741
3.511,741
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
7.42
7.42
β
8.34
8.34
β
4.702
4.702
β
5.63-
5.63-
β
esnepsuS
.1
8.822,761
8.822,761
β
8.458,461
8.458,461
β
9.215,161
9.215,161
β
8.970,741
8.970,741
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
1.57
1.57
β
6.54
6.54
β
6.54
6.54
β
1.27
1.27
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
1.000,42
1.000,42
β
1.721,32
1.721,32
β
8.134,42
8.134,42
β
4.486,22
4.486,22
β
secnattimeR.IIX
5.518,7
2.842,21
2.842,21
3.151,7
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
3.139,8-
7.777,8-
6.981,21-
3.533,1
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
8.511,1-
5.074,3
6.85
7.684,8
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
8.511,1-
5.074,3
6.85
7.684,8
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
3.220,3-
3.956-
3.927-
7.937,4-
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
4.265,5-
1.309,4-
9.827-
4.361-
ecnalaB gninepO
)a
7.485,8-
4.265,5-
2.854,1-
1.309,4-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
4.609,1
8.921,4
9.787
3.622,31
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
301
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
MAROZIM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
4.564,762
8.509,652
6.955,01
5.659,572
1.730,662
5.919,9
3.323,262
0.181,552
3.241,7
7.358,78
4.069,28
3.398,4
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
4.258,41
8.292,4
6.955,01
1.745,21
7.726,2
5.919,9
9.360,9
6.129,1
3.241,7
5.981,7
2.692,2
3.398,4
$)stnuoccA
cilbuP
gnidulcxE(
9.739,11
3.024,1
6.715,01
5.378,01
1.279
5.109,9
8.241,7
5.81
3.421,7
0.499,5
6.341,1
4.058,4
)2 + 1( yaltuO
latipaC
latoT
.I
0.382,01
β
0.382,01
9.419,9
6.359
4.169,8
7.915,6
β
7.915,6
8.614,5
6.341,1
2.372,4
)b + a( tnempoleveD
.1
0.767,2
β
0.767,2
9.369,3
β
9.369,3
1.860,3
β
1.860,3
5.770,2
β
5.770,2
)9 ot 1( secivreS
laicoS
)a(
0.531
β
0.531
6.742
β
6.742
0.541
β
0.541
2.692
β
2.692
erutluC
dna trA ,stropS ,noitacudE
.1
7.611
β
7.611
4.191
β
4.191
3.021
β
3.021
3.541
β
3.541
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
4.085
β
4.085
5.488
β
5.488
9.757
β
9.757
6.053
β
6.053
noitatinaS dna ylppuS retaW
.4
8.541
β
8.541
8.602
β
8.602
0.571
β
0.571
8.312
β
8.312
gnisuoH
.5
8.994,1
β
8.994,1
9.389,1
β
9.389,1
1.307,1
β
1.307,1
5.118
β
5.118
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
β
β
β
β
β
β
β
β
β
β
β
β
sessalC
drawkcaB rehtO dna sebirT
4.982
β
4.982
7.944
β
7.944
8.661
β
8.661
6.452
β
6.452
erafleW dna ytiruceS laicoS
.8
β
β
β
β
β
β
β
β
β
6.5
β
6.5
* srehtO
.9
0.615,7
β
0.615,7
0.159,5
6.359
4.799,4
6.154,3
β
6.154,3
2.933,3
6.341,1
6.591,2
)01 ot 1( secivreS cimonocE)b(
8.564
β
8.564
1.042,1
6.359
6.682
3.662
β
3.662
4.582,1
6.341,1
9.141
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
β
β
β
β
β
β
β
β
β
2.31
β
2.31
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
0.05
β
0.05
noitavresnoC retaW dna lioS
)ii
1.37
β
1.37
7.25
β
7.25
8.05
β
8.05
9.26
β
9.26
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
β
β
β
β
β
β
β
β
β
9.4
β
9.4
seirehsiF
)v
β
β
β
β
β
β
β
β
β
β
β
β
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
9.592
β
9.592
6.301,1
6.359
0.051
0.051
β
0.051
6.341,1
6.341,1
β
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
4.14
β
4.14
0.81
β
0.81
0.81
β
0.81
2.1
β
2.1
noitarepo-oC
)x
4.55
β
4.55
9.56
β
9.56
5.74
β
5.74
7.9
β
7.9
@ srehtO
)ix
8.1
β
8.1
0.03
β
0.03
β
β
β
5.04
β
5.04
tnempoleveD laruR
.2
1.304
β
1.304
7.045
β
7.045
7.793
β
7.793
7.793
β
7.793
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
0.868
β
0.868
5.086
β
5.086
9.146
β
9.146
3.1
β
3.1
lortnoC doolF
0.334
β
0.334
7.424,1
β
7.424,1
8.184
β
8.184
0.256
β
0.256
ygrenE
.5
β
β
β
β
β
β
β
β
β
β
β
β
)vi ot i( slareniM dna yrtsudnI
.6
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
β
β
β
β
β
β
β
β
β
β
β
β
# srehtO
)vi
1.447,1
β
1.447,1
0.539,1
β
0.539,1
9.365,1
β
9.365,1
7.259
β
7.259
)ii + i( tropsnarT
.7
3.696,1
β
3.696,1
7.529,1
β
7.529,1
8.365,1
β
8.365,1
6.339
β
6.339
segdirB dna sdaoR
)i
8.74
β
8.74
4.9
β
4.9
1.0
β
1.0
1.91
β
1.91
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
302
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
MAROZIM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
2.006,3
β
2.006,3
0.001
β
0.001
0.001
β
0.001
6.9
β
6.9
)ii +
i( secivreS
cimonocE
lareneG.01
2.011
β
2.011
0.001
β
0.001
0.001
β
0.001
6.9
β
6.9
msiruoT
)i
0.094,3
β
0.094,3
β
β
β
β
β
β
β
β
β
@@ srehtO
)ii
9.456,1
3.024,1
6.432
6.859
5.81
1.049
1.326
5.81
6.406
2.775
β
2.775
)secivreS
lareneG( tnempoleveD-noN
.2
3.213,2
3.213,2
β
7.995,21
7.995,21
β
7.944,2
7.944,2
β
8.673,9
8.673,9
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
8.893,1
8.893,1
β
2.245
2.245
β
2.245
2.245
β
6.403
6.403
β
snaoL tekraM
.1
3.434
3.434
β
3.434
3.434
β
3.434
3.434
β
0.14
0.14
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
6.013
6.013
β
6.013
6.013
β
6.013
6.013
β
0.422
0.422
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.6
0.6
β
5.2
5.2
β
5.2
5.2
β
2.1
2.1
β
noitaroproC
3.0
3.0
β
0.051,11
0.051,11
β
0.000,1
0.000,1
β
2.876,8
2.876,8
β
IBR morf AMW
.6
4.77
4.77
β
0.07
0.07
β
0.07
0.07
β
4.17
4.17
β
FSSN
ot deussi seitiruceS
laicepS
.7
9.48
9.48
β
1.09
1.09
β
1.09
1.09
β
4.65
4.65
β
srehtO
.8
6.54
6.54
β
6.54
6.54
β
6.54
6.54
β
6.54
6.54
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
6.202
6.202
β
9.691
9.691
β
9.691
9.691
β
8.981
8.981
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
6.202
6.202
β
9.691
9.691
β
9.691
9.691
β
8.981
8.981
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
β
β
β
β
β
β
β
β
β
β
β
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
0.004
0.853
0.24
0.72
0.9
0.81
5.472
5.652
0.81
1.703
2.462
9.24
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
4.373
4.133
0.24
0.81
β
0.81
9.342
9.522
0.81
4.282
5.932
9.24
)b
+ a( sesopruP
tnempoleveD
.1
4.133
4.133
β
β
β
β
9.522
9.522
β
5.972
5.932
0.04
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
0.04
β
0.04
gnisuoH .5
4.133
4.133
β
β
β
β
9.522
9.522
β
5.932
5.932
β
)gnisuoH(
stnavreS tnemnrevoG
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO .7
0.24
β
0.24
0.81
β
0.81
0.81
β
0.81
9.2
β
9.2
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
0.24
β
0.24
0.81
β
0.81
0.81
β
0.81
9.2
β
9.2
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
β
β
β
β
β
β
β
β
β
β
β
β
stcejorP
rewoP .6Appendix IV
303
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
MAROZIM
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
β
β
β
β
β
β
β
β
β
β
β
β
srehtO.01
6.62
6.62
β
0.9
0.9
β
6.03
6.03
β
7.42
7.42
β
)b + a(
sesopruP tnempoleveD-noN
.2
6.62
6.62
β
0.9
0.9
β
6.03
6.03
β
7.42
7.42
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
0.068,2
0.068,2
β
0.065,2
0.065,2
β
0.065,2
0.065,2
β
5.254,3
5.254,3
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
0.008,2
0.008,2
β
0.005,2
0.005,2
β
0.005,2
0.005,2
β
9.793,3
9.793,3
β
sdnuF tnedivorP
etatS
.1
0.06
0.06
β
0.06
0.06
β
0.06
0.06
β
6.45
6.45
β
srehtO
.2
5.243
5.243
β
2.982
2.982
β
2.982
2.982
β
3.703
3.703
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
5.282
5.282
β
2.922
2.922
β
2.922
2.922
β
0.902
0.902
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
0.06
0.06
β
0.06
0.06
β
0.06
0.06
β
3.89
3.89
β
srehtO
.4
0.000,7
0.000,7
β
0.000,7
0.000,7
β
0.000,7
0.000,7
β
2.422,9
2.422,9
β
)4 ot 1( secnavdA dna
stisopeD
.XI
0.000,7
0.000,7
β
0.000,7
0.000,7
β
0.000,7
0.000,7
β
6.778,8
6.778,8
β
stisopeD
liviC
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF lacoL fo stisopeD
.2
β
β
β
β
β
β
β
β
β
4.642
4.642
β
secnavdA
liviC
.3
β
β
β
β
β
β
β
β
β
3.001
3.001
β
srehtO
.4
1.065,722
1.065,722
β
1.065,722
1.065,722
β
1.065,722
1.065,722
β
6.488,34
6.488,34
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
0.005,2
0.005,2
β
0.005,2
0.005,2
β
0.005,2
0.005,2
β
3.390,1-
3.390,1-
β
esnepsuS
.1
0.069,41
0.069,41
β
0.069,41
0.069,41
β
0.069,41
0.069,41
β
5.177,44
5.177,44
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
0.000,012
0.000,012
β
0.000,012
0.000,012
β
0.000,012
0.000,012
β
β
β
β
IBR htiw stisopeD
.3
1.001
1.001
β
1.001
1.001
β
1.001
1.001
β
5.602
5.602
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
1.058,41
1.058,41
β
1.058,41
1.058,41
β
1.058,41
1.058,41
β
4.711,51
4.711,51
β
secnattimeR.IIX
6.148,01
9.215,9-
6.841,1
4.125,1-
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
5.127,7-
1.597,7-
7.207,3-
8.473,4
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
1.021,3
0.803,71-
1.455,2-
5.358,2
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
1.021,3
0.803,71-
1.455,2-
5.358,2
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
8.954,3
3.947,71-
1.415,2-
8.852,1
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
1.493,6-
2.553,11
8.635,8
3.690,01
ecnalaB gninepO
)a
4.439,2-
1.493,6-
7.220,6
2.553,11
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
0.04-
0.04-
0.04-
8.162
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
7.992-
3.184
β
8.233,1
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
304
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
DNALAGAN
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
3.294,231
5.165,811
8.039,31
3.811,621
0.177,211
3.743,31
6.749,431
7.677,211
0.171,22
0.417,901
5.828,79
5.588,11
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
8.502,91
0.572,5
8.039,31
4.853,61
1.110,3
3.743,31
7.102,52
7.030,3
0.171,22
1.867,41
6.288,2
5.588,11
$)stnuoccA
cilbuP
gnidulcxE(
8.039,31
β
8.039,31
1.303,31
β
1.303,31
4.531,22
1.0
3.531,22
6.070,21
0.191
7.978,11
)2 + 1( yaltuO
latipaC
latoT
.I
6.783,9
β
6.783,9
6.501,11
β
6.501,11
6.633,21
1.0
5.633,21
8.852,01
0.191
8.760,01
)b + a( tnempoleveD
.1
1.706,3
β
1.706,3
1.988,4
β
1.988,4
6.003,5
β
6.003,5
7.442,3
β
7.442,3
)9 ot 1( secivreS
laicoS
)a(
2.313
β
2.313
6.115
β
6.115
0.339
β
0.339
8.367
β
8.367
erutluC
dna trA ,stropS ,noitacudE
.1
0.02
β
0.02
6.182
β
6.182
0.521
β
0.521
4.721
β
4.721
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
3.678,1
β
3.678,1
8.952,1
β
8.952,1
9.033,1
β
9.033,1
6.552
β
6.552
noitatinaS dna ylppuS retaW
.4
5.911
β
5.911
8.604,1
β
8.604,1
1.553
β
1.553
8.947
β
8.947
gnisuoH
.5
5.242,1
β
5.242,1
3.932,1
β
3.932,1
5.114,2
β
5.114,2
9.291,1
β
9.291,1
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
β
β
β
β
β
β
β
β
β
β
β
β
sessalC
drawkcaB rehtO dna sebirT
0.31
β
0.31
0.081
β
0.081
6.411
β
6.411
0.421
β
0.421
erafleW dna ytiruceS laicoS
.8
5.22
β
5.22
0.01
β
0.01
6.03
β
6.03
2.13
β
2.13
* srehtO
.9
5.087,5
β
5.087,5
5.612,6
β
5.612,6
0.630,7
1.0
9.530,7
1.410,7
0.191
1.328,6
)01 ot 1( secivreS cimonocE)b(
6.521
β
6.521
0.043
β
0.043
2.973
1.0
1.973
4.109
0.191
4.017
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
0.56
β
0.56
9.061
β
9.061
0.151
β
0.151
1.331
β
1.331
yrdnabsuH porC
)i
0.2
β
0.2
β
β
β
3.3
β
3.3
3.3
β
3.3
noitavresnoC retaW dna lioS
)ii
β
β
β
β
β
β
5.11
β
5.11
1.601
β
1.601
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
0.51
β
0.51
5.831
β
5.831
2.92
β
2.92
0.5
β
0.5
seirehsiF
)v
0.4
β
0.4
β
β
β
3.22
β
3.22
1.282
β
1.282
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
2.93
β
2.93
6.02
β
6.02
6.411
1.0
5.411
1.322
0.16
1.261
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
4.0
β
4.0
0.02
β
0.02
3.74
β
3.74
8.841
0.031
8.81
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
7.665
β
7.665
β
β
β
β
β
β
5.6
β
5.6
tnempoleveD laruR
.2
5.759
β
5.759
1.204,1
β
1.204,1
1.089
β
1.089
9.674,1
β
9.674,1
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
5.123,2
β
5.123,2
0.71
β
0.71
0.963
β
0.963
0.4
β
0.4
lortnoC doolF
1.97
β
1.97
6.807
β
6.807
1.601,1
β
1.601,1
5.698
β
5.698
ygrenE
.5
5.151
β
5.151
7.633
β
7.633
6.433
β
6.433
8.944
β
8.944
)vi ot i( slareniM dna yrtsudnI
.6
5.21
β
5.21
4.31
β
4.31
5.4
β
5.4
5.4
β
5.4
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
0.92
β
0.92
0.05
β
0.05
5.17
β
5.17
6.911
β
6.911
seirtsudnI lacigrullateM
0.011
β
0.011
3.372
β
3.372
6.852
β
6.852
7.523
β
7.523
# srehtO
)vi
1.243,1
β
1.243,1
2.730,3
β
2.730,3
3.905,3
β
3.905,3
6.141,3
β
6.141,3
)ii + i( tropsnarT
.7
1.913,1
β
1.913,1
2.959,2
β
2.959,2
7.244,3
β
7.244,3
2.621,3
β
2.621,3
segdirB dna sdaoR
)i
0.32
β
0.32
9.77
β
9.77
7.66
β
7.66
4.51
β
4.51
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
305
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
DNALAGAN
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.271
β
2.271
0.563
β
0.563
5.043
β
5.043
4.59
β
4.59
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
3.46
β
3.46
0.01
β
0.01
2.71
β
2.71
2.24
β
2.24
)ii +
i( secivreS
cimonocE
lareneG.01
β
β
β
β
β
β
β
β
β
β
β
β
msiruoT
)i
3.46
β
3.46
0.01
β
0.01
2.71
β
2.71
2.24
β
2.24
@@ srehtO
)ii
2.345,4
β
2.345,4
4.791,2
β
4.791,2
8.897,9
β
8.897,9
9.118,1
β
9.118,1
)secivreS
lareneG( tnempoleveD-noN
.2
9.650,52
9.650,52
β
0.197,22
0.197,22
β
4.908,22
4.908,22
β
3.441,41
3.441,41
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
6.106,3
6.106,3
β
6.974,1
6.974,1
β
6.974,1
6.974,1
β
9.732,1
9.732,1
β
snaoL tekraM
.1
1.26
1.26
β
2.87
2.87
β
7.58
7.58
β
8.57
8.57
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
4.575
4.575
β
7.544
7.544
β
8.544
8.544
β
2.993
2.993
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.55
0.55
β
4.15
4.15
β
0.54
0.54
β
8.44
8.44
β
noitaroproC
0.000,02
0.000,02
β
0.000,02
0.000,02
β
0.000,02
0.000,02
β
0.186,11
0.186,11
β
IBR morf AMW
.6
5.06
5.06
β
0.85
0.85
β
0.85
0.85
β
8.75
8.75
β
FSSN
ot deussi seitiruceS
laicepS
.7
3.207
3.207
β
0.876
0.876
β
4.596
4.596
β
7.746
7.746
β
srehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
1.412
1.412
β
1.612
1.612
β
2.712
2.712
β
0.522
0.522
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
8.202
8.202
β
8.202
8.202
β
8.591
8.591
β
8.202
8.202
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
3.1
3.1
β
3.1
3.1
β
3.1
3.1
β
7.1
7.1
β
semehcS derosnopS
yllartneC
.3
6.7
6.7
β
6.7
6.7
β
5.7
5.7
β
8.7
8.7
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
6.7
6.7
β
6.7
6.7
β
5.7
5.7
β
8.7
8.7
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
4.2
4.2
β
5.2
5.2
β
9.2
9.2
β
9.2
9.2
β
semehcS laicepS
rof snaoL
.6
β
β
β
0.2
0.2
β
8.9
8.9
β
8.9
8.9
β
srehtO
.7
0.4
0.4
β
2.84
0.4
2.44
7.93
0.4
6.53
2.9
4.3
8.5
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
β
β
β
4.64
2.2
2.44
8.73
2.2
6.53
3.7
5.1
8.5
)b
+ a( sesopruP
tnempoleveD
.1
β
β
β
2.2
2.2
β
2.2
2.2
β
5.1
5.1
β
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
β
β
β
2.2
2.2
β
2.2
2.2
β
5.1
5.1
β
)gnisuoH(
stnavreS tnemnrevoG
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO .7
β
β
β
2.44
β
2.44
6.53
β
6.53
8.5
β
8.5
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
β
β
β
2.44
β
2.44
6.53
β
6.53
8.5
β
8.5
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
β
β
β
β
β
β
β
β
β
β
β
β
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
306
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
DNALAGAN
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
β
β
β
β
β
β
β
β
β
β
β
β
srehtO.01
0.4
0.4
β
9.1
9.1
β
9.1
9.1
β
9.1
9.1
β
)b + a(
sesopruP tnempoleveD-noN
.2
0.4
0.4
β
9.1
9.1
β
9.1
9.1
β
9.1
9.1
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
0.068,1
0.068,1
β
0.858,1
0.858,1
β
0.448,1
0.448,1
β
1.357,1
1.357,1
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
0.008,1
0.008,1
β
0.008,1
0.008,1
β
0.008,1
0.008,1
β
9.696,1
9.696,1
β
sdnuF tnedivorP
etatS
.1
0.06
0.06
β
0.85
0.85
β
0.44
0.44
β
2.65
2.65
β
srehtO
.2
0.052,2
0.052,2
β
0.066
0.066
β
0.066
0.066
β
7.045
7.045
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
0.099,1
0.099,1
β
0.004
0.004
β
0.004
0.004
β
6.611
6.611
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
0.062
0.062
β
0.062
0.062
β
0.062
0.062
β
1.424
1.424
β
srehtO
.4
5.576,8
5.576,8
β
9.047,6
9.047,6
β
9.047,6
9.047,6
β
8.739,6
8.739,6
β
)4 ot 1( secnavdA dna
stisopeD
.XI
5.411,8
5.411,8
β
9.055,6
9.055,6
β
9.055,6
9.055,6
β
8.647,6
8.647,6
β
stisopeD
liviC
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF lacoL fo stisopeD
.2
0.001
0.001
β
0.001
0.001
β
0.001
0.001
β
0.581
0.581
β
secnavdA
liviC
.3
0.164
0.164
β
0.09
0.09
β
0.09
0.09
β
0.6
0.6
β
srehtO
.4
0.005,56
0.005,56
β
0.005,56
0.005,56
β
0.005,56
0.005,56
β
7.913,55
7.913,55
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
0.005
0.005
β
0.005
0.005
β
0.005
0.005
β
3.831
3.831
β
esnepsuS
.1
0.000,06
0.000,06
β
0.000,06
0.000,06
β
0.000,06
0.000,06
β
8.016,05
8.016,05
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
0.000,5
0.000,5
β
0.000,5
0.000,5
β
0.000,5
0.000,5
β
5.075,4
5.075,4
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
0.100,51
0.100,51
β
0.100,51
0.100,51
β
0.100,51
0.100,51
β
5.317,81
5.317,81
β
secnattimeR.IIX
2.303,2
7.038,4
7.562,61
5.574,7
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
3.683,51-
9.958,7-
3.455,52-
0.952,5-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
2.380,31-
2.920,3-
6.882,9-
5.612,2
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
2.380,31-
2.920,3-
6.882,9-
5.612,2
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
2.380,31-
6.292,9-
6.882,9-
0.801,4
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
7.971,1-
9.532,3-
9.532,3-
8.879,2-
ecnalaB gninepO
)a
9.262,41-
5.825,21-
5.425,21-
2.921,1
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
β
β
β
β
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
4.362,6
β
5.198,1-
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
307
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
AHSIDO
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
3.441,937,1
8.692,385,1
5.748,551
3.973,674,1
6.404,053,1
8.479,521
0.860,684,1
1.906,543,1
9.854,041
0.802,184,1
8.117,104,1
2.694,97
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
8.784,681
4.046,03
5.748,551
1.945,851
3.475,23
8.479,521
7.185,271
8.221,23
9.854,041
7.131,501
6.536,52
2.694,97
$)stnuoccA
cilbuP
gnidulcxE(
7.094,151
3.322
4.762,151
2.645,221
2.142
0.503,221
2.775,631
2.142
1.633,631
0.465,77
3.207,1
7.168,57
)2 + 1( yaltuO
latipaC
latoT
.I
2.352,641
8.66
4.681,641
9.269,711
6.201
3.068,711
9.588,131
6.201
3.387,131
3.568,27
9.935,1
4.523,17
)b + a( tnempoleveD
.1
1.873,03
8.26
3.513,03
1.101,82
3.73
8.360,82
5.225,92
3.73
2.584,92
9.742,71
5.44
4.302,71
)9 ot 1( secivreS
laicoS
)a(
6.408,4
β
6.408,4
5.488,4
β
5.488,4
2.684,4
β
2.684,4
6.155,1
β
6.155,1
erutluC
dna trA ,stropS ,noitacudE
.1
1.187,5
β
1.187,5
0.547,4
β
0.547,4
0.547,4
β
0.547,4
5.344,1
β
5.344,1
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
0.572,4
β
0.572,4
5.084,7
β
5.084,7
5.544,8
β
5.544,8
4.926,5
β
4.926,5
noitatinaS dna ylppuS retaW
.4
6.638,3
8.26
8.377,3
6.117,2
3.73
3.476,2
2.238,2
3.73
9.497,2
9.165,1
5.44
3.715,1
gnisuoH
.5
8.318
β
8.318
8.368
β
8.368
1.598
β
1.598
6.755
β
6.755
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
0.197,5
β
0.197,5
7.800,5
β
7.800,5
5.110,6
β
5.110,6
6.202,4
β
6.202,4
sessalC
drawkcaB rehtO dna sebirT
0.000,3
β
0.000,3
5.244,1
β
5.244,1
5.244,1
β
5.244,1
7.359,1
β
7.359,1
erafleW dna ytiruceS laicoS
.8
0.670,2
β
0.670,2
5.469
β
5.469
5.466
β
5.466
6.743
β
6.743
* srehtO
.9
1.578,511
0.4
1.178,511
8.168,98
3.56
5.697,98
4.363,201
3.56
1.892,201
4.716,55
4.594,1
0.221,45
)01 ot 1( secivreS cimonocE)b(
8.525,2
β
8.525,2
7.871,3
β
7.871,3
2.186,2
β
2.186,2
3.316,1
β
3.316,1
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
0.322
β
0.322
9.311
β
9.311
9.311
β
9.311
1.58
β
1.58
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
6.947
β
6.947
7.874
β
7.874
7.846
β
7.846
8.68
β
8.68
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
8.831
β
8.831
3.621
β
3.621
8.801
β
8.801
6.97
β
6.97
seirehsiF
)v
0.53
β
0.53
0.53
β
0.53
0.53
β
0.53
9.62
β
9.62
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
5.441,1
β
5.441,1
7.411,2
β
7.411,2
7.416,1
β
7.416,1
9.481,1
β
9.481,1
noitarepo-oC
)x
0.532
β
0.532
0.013
β
0.013
0.061
β
0.061
0.051
β
0.051
@ srehtO
)ix
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.2
0.584,1
β
0.584,1
0.584,1
β
0.584,1
0.584,1
β
0.584,1
0.584,1
β
0.584,1
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
9.944,34
β
9.944,34
6.258,92
β
6.258,92
5.440,43
β
5.440,43
2.231,22
β
2.231,22
lortnoC doolF
6.810,9
β
6.810,9
2.306,6
β
2.306,6
4.286,01
β
4.286,01
7.047,7
3.734,1
4.303,6
ygrenE
.5
0.01
β
0.01
1.11
β
1.11
5.0
β
5.0
8.67
β
8.67
)vi ot i( slareniM dna yrtsudnI
.6
β
β
β
β
β
β
β
β
β
5.051
β
5.051
seirtsudnI llamS dna egalliV
)i
0.01
β
0.01
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
6.0
β
6.0
β
β
β
β
β
β
seirtsudnI lacigrullateM
β
β
β
5.01
β
5.01
5.0
β
5.0
7.37-
β
7.37-
# srehtO
)vi
0.709,75
0.4
0.309,75
7.027,74
3.56
4.556,74
0.817,15
3.56
6.256,15
7.030,22
1.85
7.279,12
)ii + i( tropsnarT
.7
0.443,65
0.4
0.043,65
3.291,54
3.56
0.721,54
6.985,94
3.56
2.425,94
8.948,02
1.85
8.197,02
segdirB dna sdaoR
)i
0.365,1
β
0.365,1
4.825,2
β
4.825,2
4.821,2
β
4.821,2
9.081,1
β
9.081,1
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
308
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
AHSIDO
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
7.874,1
β
7.874,1
4.010,1
β
4.010,1
9.157,1
β
9.157,1
6.835
β
6.835
)ii +
i( secivreS
cimonocE
lareneG.01
4.150,1
β
4.150,1
6.489
β
6.489
6.432,1
β
6.432,1
6.735
β
6.735
msiruoT
)i
3.724
β
3.724
8.52
β
8.52
3.715
β
3.715
0.1
β
0.1
@@ srehtO
)ii
4.732,5
5.651
9.080,5
3.385,4
6.831
8.444,4
4.196,4
6.831
8.255,4
8.896,4
4.261
4.635,4
)secivreS
lareneG( tnempoleveD-noN
.2
4.690,22
4.690,22
β
0.011,83
0.011,83
β
0.018,32
0.018,32
β
2.357,71
2.357,71
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
2.690,9
2.690,9
β
0.465,31
0.465,31
β
0.465,31
0.465,31
β
8.848,8
8.848,8
β
snaoL tekraM
.1
9.11
9.11
β
4.61
4.61
β
4.61
4.61
β
9.02
9.02
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
1.129,6
1.129,6
β
0.225,5
0.225,5
β
0.225,5
0.225,5
β
1.772,4
1.772,4
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
8.94
8.94
β
2.24
2.24
β
2.24
2.24
β
3.52
3.52
β
noitaroproC
β
β
β
0.003,41
0.003,41
β
β
β
β
β
β
β
IBR morf AMW
.6
0.688,4
0.688,4
β
0.035,3
0.035,3
β
0.035,3
0.035,3
β
5.944,3
5.944,3
β
FSSN
ot deussi seitiruceS
laicepS
.7
4.131,1
4.131,1
β
4.531,1
4.531,1
β
4.531,1
4.531,1
β
6.131,1
6.131,1
β
srehtO
.8
9.201,1
9.201,1
β
9.201,1
9.201,1
β
9.201,1
9.201,1
β
9.201,1
9.201,1
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
6.079,6
6.079,6
β
5.691,7
5.691,7
β
0.547,6
0.547,6
β
0.971,5
0.971,5
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
1.749,6
1.749,6
β
0.027,6
0.027,6
β
0.027,6
0.027,6
β
0.931,5
0.931,5
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
5.32
5.32
β
0.52
0.52
β
0.52
0.52
β
8.32
8.32
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
5.32
5.32
β
0.52
0.52
β
0.52
0.52
β
8.32
8.32
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
6.154
6.154
β
β
β
β
2.61
2.61
β
srehtO
.7
1.039,5
0.053,1
1.085,4
3.699,4
6.623,1
7.966,3
4.944,5
6.623,1
8.221,4
5.536,4
1.100,1
5.436,3
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
1.082,5
0.007
1.085,4
7.963,4
0.007
7.966,3
8.228,4
0.007
8.221,4
3.092,4
9.556
5.436,3
)b
+ a( sesopruP
tnempoleveD
.1
0.007
0.007
β
0.007
0.007
β
0.007
0.007
β
9.556
9.556
β
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
7.8
7.8
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
0.007
0.007
β
0.007
0.007
β
0.007
0.007
β
1.746
1.746
β
)gnisuoH(
stnavreS tnemnrevoG
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO .7
1.085,4
β
1.085,4
7.966,3
β
7.966,3
8.221,4
β
8.221,4
5.436,3
β
5.436,3
)01
ot 1( secivreS
cimonocE
)b
0.000,1
β
0.000,1
0.052,1
β
0.052,1
0.052,1
β
0.052,1
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
0.030,1
β
0.030,1
0.994
β
0.994
3.130,1
β
3.130,1
2.43
β
2.43
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
1.055,2
β
1.055,2
3.419,1
β
3.419,1
1.538,1
β
1.538,1
6.585,3
β
6.585,3
stcejorP
rewoP .6Appendix IV
309
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
AHSIDO
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
6.41
β
6.41
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
β
β
β
4.6
β
4.6
4.6
β
4.6
β
β
β
srehtO.01
0.056
0.056
β
6.626
6.626
β
6.626
6.626
β
2.543
2.543
β
)b + a(
sesopruP tnempoleveD-noN
.2
0.004
0.004
β
1.004
1.004
β
1.004
1.004
β
2.543
2.543
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
0.052
0.052
β
5.622
5.622
β
5.622
5.622
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
0.000,4
0.000,4
β
0.000,4
0.000,4
β
0.000,4
0.000,4
β
0.005,1
0.005,1
β
dnuF ycnegnitnoC
.IV
1.800,62
1.800,62
β
9.405,22
9.405,22
β
9.405,22
9.405,22
β
7.234,62
7.234,62
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
5.500,62
5.500,62
β
5.205,22
5.205,22
β
5.205,22
5.205,22
β
9.034,62
9.034,62
β
sdnuF tnedivorP
etatS
.1
6.2
6.2
β
4.2
4.2
β
4.2
4.2
β
8.1
8.1
β
srehtO
.2
3.462,32
3.462,32
β
0.986,01
0.986,01
β
2.836,02
2.836,02
β
0.209,81
0.209,81
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
2.000,01
2.000,01
β
β
β
β
0.000,01
0.000,01
β
1.0
1.0
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
1.462,31
1.462,31
β
0.986,01
0.986,01
β
2.836,01
2.836,01
β
9.109,81
9.109,81
β
srehtO
.4
3.396,541
3.396,541
β
0.898,801
0.898,801
β
0.898,801
0.898,801
β
0.260,26
0.260,26
β
)4 ot 1( secnavdA dna
stisopeD
.XI
9.848,44
9.848,44
β
6.428,23
6.428,23
β
6.428,23
6.428,23
β
7.726,24
7.726,24
β
stisopeD
liviC
.1
6.475,31
6.475,31
β
0.535,21
0.535,21
β
0.535,21
0.535,21
β
6.169,31
6.169,31
β
sdnuF lacoL fo stisopeD
.2
0.625,2
0.625,2
β
1.525,1
1.525,1
β
1.525,1
1.525,1
β
0.282,2
0.282,2
β
secnavdA
liviC
.3
8.347,48
8.347,48
β
2.310,26
2.310,26
β
2.310,26
2.310,26
β
8.091,3
8.091,3
β
srehtO
.4
6.595,452,1
6.595,452,1
β
2.273,670,1
2.273,670,1
β
2.673,670,1
2.673,670,1
β
1.550,461,1
1.550,461,1
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
8.04
8.04
β
1.4
1.4
β
1.8
1.8
β
6.635
6.635
β
esnepsuS
.1
7.745,152,1
7.745,152,1
β
1.212,670,1
1.212,670,1
β
1.212,670,1
1.212,670,1
β
5.469,160,1
5.469,160,1
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
1.700,3
1.700,3
β
1.651
1.651
β
1.651
1.651
β
0.455,101
0.455,101
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
2.590,99
2.590,99
β
1.660,18
1.660,18
β
0.960,18
0.960,18
β
4.421,301
4.421,301
β
secnattimeR.IIX
1.510,15
4.177,33
5.556,24
0.192,33
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
2.789,3-
3.404,28-
1.392,19-
9.039,66-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
8.720,74
8.236,84-
7.736,84-
9.936,33-
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
8.720,74
8.236,84-
7.736,84-
9.936,33-
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
β
β
β
0.805
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
2.2
2.2
7.227,2-
2.932-
ecnalaB gninepO
)a
2.2
2.2
7.227,2-
7.862
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
8.720,74
8.236,84-
7.736,84-
8.741,43-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
310
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
BAJNUP
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
6.807,096
2.902,786
4.994,3
8.587,176
8.941,666
0.636,5
2.752,675,1
7.056,175,1
5.606,4
0.338,526
4.682,226
6.645,3
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
6.609,19
3.704,88
4.994,3
1.284,47
2.648,86
0.636,5
5.464,49
0.858,98
5.606,4
0.751,06
4.016,65
6.645,3
$)stnuoccA
cilbuP
gnidulcxE(
2.865,84
8.324,64
3.441,2
8.284,93
8.511,73
0.763,2
4.466,06
9.596,85
6.869,1
1.600,22
8.011,02
3.598,1
)2 + 1( yaltuO
latipaC
latoT
.I
1.441,64
2.446,44
9.994,1
0.338,53
7.299,33
4.048,1
1.930,75
7.105,55
5.735,1
5.228,91
7.155,81
9.072,1
)b + a( tnempoleveD
.1
8.824,01
7.533,01
1.39
5.229,01
5.948,01
0.37
7.301,52
6.020,52
1.38
3.303,9
1.192,9
2.21
)9 ot 1( secivreS
laicoS
)a(
1.063,3
9.953,3
2.0
9.201,3
7.201,3
2.0
0.963,5
8.863,5
2.0
2.765,3
2.765,3
β
erutluC
dna trA ,stropS ,noitacudE
.1
9.93
0.4
9.53
1.71
2.1
9.51
2.843,1
2.213,1
9.53
7.628
5.128
2.5
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
5.595,3
5.055,3
0.54
3.304,3
3.363,3
0.04
0.035,3
0.005,3
0.03
1.240,2
8.730,2
4.4
noitatinaS dna ylppuS retaW
.4
5.2
5.0
0.2
9.324
0.024
9.3
0.231
0.031
0.2
6.250,1
6.250,1
β
gnisuoH
.5
8.007
8.007
β
8.008,2
8.008,2
β
8.077,11
8.077,11
β
3.407,1
3.407,1
β
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
9.852,1
9.842,1
0.01
5.517
5.507
0.01
8.346,1
8.336,1
0.01
2.47
2.47
β
sessalC
drawkcaB rehtO dna sebirT
2.777
2.777
β
0.663
0.663
β
0.136
0.136
β
0.5
0.5
β
erafleW dna ytiruceS laicoS
.8
0.496
0.496
β
0.39
0.09
0.3
0.976
0.476
0.5
2.13
5.82
7.2
* srehtO
.9
3.517,53
5.803,43
8.604,1
5.019,42
2.341,32
3.767,1
4.539,13
1.184,03
4.454,1
2.915,01
6.062,9
7.852,1
)01 ot 1( secivreS cimonocE)b(
5.881,1
5.881,1
β
8.159
8.159
β
7.904
7.904
β
6.288
6.288
β
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
β
β
β
β
β
β
5.63
5.63
β
β
β
β
yrdnabsuH porC
)i
β
β
β
β
β
β
0.1
0.1
β
β
β
β
noitavresnoC retaW dna lioS
)ii
5.883
5.883
β
8.151
8.151
β
2.273
2.273
β
6.285
6.285
β
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
β
β
β
β
β
β
β
β
β
β
β
β
seirehsiF
)v
β
β
β
β
β
β
β
β
β
β
β
β
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
0.008
0.008
β
0.008
0.008
β
β
β
β
0.003
0.003
β
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
8.152,1
8.135
0.027
2.317,1
2.399
0.027
9.847,2
9.820,2
0.027
8.892,1
0.226
8.676
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
1.096,01
1.440,01
0.646
6.217,7
7.707,6
9.400,1
6.386,31
7.789,21
9.596
0.506,3
3.070,3
7.435
lortnoC doolF
0.56
0.56
β
β
β
β
β
β
β
β
β
β
ygrenE
.5
0.011
0.011
β
8.951
8.951
β
1.151
0.051
1.1
β
β
β
)vi ot i( slareniM dna yrtsudnI
.6
0.011
0.011
β
8.951
8.951
β
1.151
0.051
1.1
β
β
β
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
β
β
β
β
β
β
β
β
β
β
β
β
# srehtO
)vi
7.093,41
4.053,41
3.04
5.660,11
6.420,11
9.14
2.737,01
4.007,01
8.63
8.438,3
3.887,3
5.64
)ii + i( tropsnarT
.7
4.022,41
4.022,41
β
6.456,01
6.456,01
β
4.023,01
4.023,01
β
3.508,3
3.508,3
β
segdirB dna sdaoR
)i
3.071
0.031
3.04
9.114
0.073
9.14
8.614
0.083
8.63
5.92
0.71-
5.64
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
311
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
BAJNUP
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.0
1.0
β
8.91
8.91
β
0.02
0.02
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
1.910,8
6.810,8
5.0
8.682,3
3.682,3
5.0
0.581,4
4.481,4
7.0
0.898
5.798
6.0
)ii +
i( secivreS
cimonocE
lareneG.01
8.968
8.968
β
6.364
6.364
β
5.044,1
5.044,1
β
8.441
8.441
β
msiruoT
)i
3.941,7
8.841,7
5.0
2.328,2
7.228,2
5.0
6.447,2
9.347,2
7.0
2.357
6.257
6.0
@@ srehtO
)ii
1.424,2
6.977,1
5.446
8.946,3
1.321,3
7.625
3.526,3
2.491,3
1.134
6.381,2
2.955,1
4.426
)secivreS
lareneG( tnempoleveD-noN
.2
5.815,802
5.815,802
β
0.013,412
0.013,412
β
5.253,971
5.253,971
β
2.262,461
2.262,461
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
9.900,61
9.900,61
β
0.456,21
0.456,21
β
0.456,21
0.456,21
β
4.844,71
4.844,71
β
snaoL tekraM
.1
3.0
3.0
β
9.1
9.1
β
9.1
9.1
β
1.3
1.3
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
7.653,4
7.653,4
β
7.653,4
7.653,4
β
2.383,4
2.383,4
β
0.720,4
0.720,4
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
β
β
β
β
β
β
β
β
β
β
β
β
noitaroproC
0.000,571
0.000,571
β
0.000,581
0.000,581
β
0.000,051
0.000,051
β
7.923,031
7.923,031
β
IBR morf AMW
.6
9.389,11
9.389,11
β
8.591,11
8.591,11
β
8.591,11
8.591,11
β
8.493,11
8.493,11
β
FSSN
ot deussi seitiruceS
laicepS
.7
7.761,1
7.761,1
β
7.101,1
7.101,1
β
7.711,1
7.711,1
β
1.950,1
1.950,1
β
srehtO
.8
3.736
3.736
β
3.736
3.736
β
3.736
3.736
β
3.736
3.736
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
9.464,2
9.464,2
β
4.024,2
4.024,2
β
7.908,1
7.908,1
β
2.765,2
1.765,2
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
3.914,2
3.914,2
β
3.473,2
3.473,2
β
9.377,1
9.377,1
β
1.035,2
1.035,2
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
7.21
7.21
β
β
β
β
semehcS derosnopS
yllartneC
.3
6.54
6.54
β
1.64
1.64
β
1.32
1.32
β
0.73
0.73
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
6.54
6.54
β
1.64
1.64
β
1.32
1.32
β
0.73
0.73
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
0.553,7
0.000,6
0.553,1
9.862,3
β
9.862,3
9.736,2
β
9.736,2
3.156,1
β
3.156,1
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
0.000,6
0.000,6
β
9.463,2
β
9.463,2
9.570,2
β
9.570,2
0.651,1
β
0.651,1
)b
+ a( sesopruP
tnempoleveD
.1
β
β
β
β
β
β
β
β
β
β
β
β
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
β
β
β
β
β
β
β
β
β
β
β
β
)gnisuoH(
stnavreS tnemnrevoG
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO .7
0.000,6
0.000,6
β
9.463,2
β
9.463,2
9.570,2
β
9.570,2
0.651,1
β
0.651,1
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
0.000,6
0.000,6
β
9.463,2
β
9.463,2
9.570,2
β
9.570,2
0.659
β
0.659
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
β
β
β
β
β
β
β
β
β
0.001
β
0.001
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
312
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
BAJNUP
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
β
β
β
β
β
β
β
β
β
0.001
β
0.001
srehtO.01
0.553,1
β
0.553,1
0.409
β
0.409
0.265
β
0.265
3.594
β
3.594
)b + a(
sesopruP tnempoleveD-noN
.2
0.421,1
β
0.421,1
0.409
β
0.409
0.265
β
0.265
3.594
β
3.594
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
0.132
β
0.132
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
7.938,22
7.938,22
β
9.133,22
9.133,22
β
4.045,61
4.045,61
β
3.967,31
3.967,31
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
8.874,71
8.874,71
β
8.063,71
8.063,71
β
0.093,61
0.093,61
β
9.816,31
9.816,31
β
sdnuF tnedivorP
etatS
.1
9.063,5
9.063,5
β
1.179,4
1.179,4
β
4.051
4.051
β
4.051
4.051
β
srehtO
.2
1.833,31
1.833,31
β
7.045,2
7.045,2
β
4.595,9
4.595,9
β
4.573,2
4.573,2
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
β
β
β
β
β
β
0.005
0.005
β
β
β
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
1.833,31
1.833,31
β
7.045,2
7.045,2
β
4.590,9
4.590,9
β
4.573,2
4.573,2
β
srehtO
.4
9.924,21
9.924,21
β
9.924,21
9.924,21
β
7.586,63
7.586,63
β
7.586,63
7.586,63
β
)4 ot 1( secnavdA dna
stisopeD
.XI
0.053,5
0.053,5
β
0.053,5
0.053,5
β
5.375,03
5.375,03
β
5.375,03
5.375,03
β
stisopeD
liviC
.1
0.2
0.2
β
0.2
0.2
β
4.0
4.0
β
4.0
4.0
β
sdnuF lacoL fo stisopeD
.2
2.3
2.3
β
2.3-
2.3-
β
6.02
6.02
β
6.02
6.02
β
secnavdA
liviC
.3
7.470,7
7.470,7
β
0.180,7
0.180,7
β
3.190,6
3.190,6
β
3.190,6
3.190,6
β
srehtO
.4
1.964,473
1.964,473
β
0.672,473
0.672,473
β
3.562,862,1
3.562,862,1
β
9.908,183
9.908,183
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
0.028,931
0.028,931
β
0.028,931
0.028,931
β
4.700,01
4.700,01
β
4.700,9
4.700,9
β
esnepsuS
.1
1.958
1.958
β
1.666
1.666
β
5.319,98
5.319,98
β
5.319,88
5.319,88
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
3.554,288
3.554,288
β
β
β
β
IBR htiw stisopeD
.3
9.987,332
9.987,332
β
9.987,332
9.987,332
β
1.988,582
1.988,582
β
1.988,382
1.988,382
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
2.527
2.527
β
2.527
2.527
β
9.507
9.507
β
9.507
9.507
β
secnattimeR.IIX
6.939,36-
8.304,26-
3.625,24-
3.173,56-
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
0.624,36
1.363,26
5.521,34
0.641,96
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
6.315-
7.04-
2.995
8.477,3
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
6.315-
7.04-
2.995
8.477,3
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
6.315-
7.04-
8.004-
3.021,8
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
5.237-
8.196-
5.866,2
1.218,8-
ecnalaB gninepO
)a
1.642,1-
5.237-
7.762,2
8.196-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
β
β
0.000,1
β
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
5.543,4-
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
313
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
NAHTSAJAR
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.239,552,3
0.641,530,3
5.687,022
8.949,871,3
0.430,089,2
8.519,891
8.479,370,3
5.676,368,2
3.892,012
6.081,773,2
8.177,332,2
8.804,341
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
4.580,962
9.892,84
5.687,022
9.632,942
2.123,05
8.519,891
0.793,062
8.890,05
3.892,012
9.419,581
1.605,24
8.804,341
$)stnuoccA
cilbuP
gnidulcxE(
9.206,702
5.7-
3.016,702
5.725,191
9.452
6.272,191
7.846,502
9.721
8.025,502
6.646,631
3.221-
9.867,631
)2 + 1( yaltuO
latipaC
latoT
.I
0.593,102
0.58
0.013,102
9.646,481
3.101
6.545,481
3.089,791
6.801
7.178,791
9.203,331
1.021
8.281,331
)b + a( tnempoleveD
.1
7.280,47
9.08
8.100,47
0.855,56
2.79
8.064,56
8.110,97
0.001
8.119,87
2.315,54
6.111
6.104,54
)9 ot 1( secivreS
laicoS
)a(
0.961,1
β
0.961,1
9.167
β
9.167
3.934,1
β
3.934,1
6.336
β
6.336
erutluC
dna trA ,stropS ,noitacudE
.1
9.686,01
β
9.686,01
1.222,6
β
1.222,6
8.737,01
β
8.737,01
3.273,3
β
3.273,3
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
5.296,64
9.08
6.116,64
2.375,84
2.79
0.674,84
6.924,64
0.001
6.923,64
0.975,72
6.111
4.764,72
noitatinaS dna ylppuS retaW
.4
1.001
β
1.001
5.801
β
5.801
9.152
β
9.152
0.92
β
0.92
gnisuoH
.5
0.542,8
β
0.542,8
3.315,6
β
3.315,6
6.579,11
β
6.579,11
2.336,01
β
2.336,01
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
9.917,2
β
9.917,2
3.181,2
β
3.181,2
3.587,3
β
3.587,3
2.652,2
β
2.652,2
sessalC
drawkcaB rehtO dna sebirT
6.937
β
6.937
4.164
β
4.164
4.505
β
4.505
5.332
β
5.332
erafleW dna ytiruceS laicoS
.8
6.927,3
β
6.927,3
3.637
β
3.637
7.688,3
β
7.688,3
5.677
β
5.677
* srehtO
.9
4.213,721
1.4
3.803,721
0.980,911
1.4
9.480,911
5.869,811
6.8
9.959,811
8.987,78
5.8
3.187,78
)01 ot 1( secivreS cimonocE)b(
3.913,4
0.4
3.513,4
6.380,6
0.4
6.970,6
9.847,7
5.8
4.047,7
4.248,3
5.8
9.338,3
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
5.534,2
0.4
5.134,2
6.172,3
0.4
6.762,3
8.359,3
5.8
3.549,3
7.589
5.8
2.779
yrdnabsuH porC
)i
8.21
β
8.21
1.3
β
1.3
7.3
β
7.3
3.3
β
3.3
noitavresnoC retaW dna lioS
)ii
5.891
β
5.891
6.571
β
6.571
0.013
β
0.013
8.45
β
8.45
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
0.81
β
0.81
0.13
β
0.13
5.72
β
5.72
4.12
β
4.12
seirehsiF
)v
0.445,1
β
0.445,1
5.854,2
β
5.854,2
2.013,3
β
2.013,3
2.614,2
β
2.614,2
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
5.011
β
5.011
8.341
β
8.341
8.341
β
8.341
0.163
β
0.163
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
5.360,5
β
5.360,5
5.565,4
β
5.565,4
6.865,4
β
6.865,4
0.479,4
β
0.479,4
tnempoleveD laruR
.2
5.682,3
β
5.682,3
5.369,2
β
5.369,2
8.121,3
β
8.121,3
0.179,2
β
0.179,2
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
1.589,51
β
1.589,51
8.520,41
β
8.520,41
0.976,51
β
0.976,51
1.567,01
β
1.567,01
lortnoC doolF
3.193,85
β
3.193,85
4.294,74
β
4.294,74
0.102,54
β
0.102,54
1.035,93
β
1.035,93
ygrenE
.5
7.599
β
7.599
0.427
β
0.427
1.438
β
1.438
3.822,1
β
3.822,1
)vi ot i( slareniM dna yrtsudnI
.6
0.473
β
0.473
0.01
β
0.01
1.42
β
1.42
4.242
β
4.242
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
3.391
β
3.391
1.68
β
1.68
6.281
β
6.281
8.67
β
8.67
seirtsudnI lacigrullateM
4.824
β
4.824
9.726
β
9.726
4.726
β
4.726
1.909
β
1.909
# srehtO
)vi
4.153,33
β
4.153,33
7.701,14
β
7.701,14
4.155,04
β
4.155,04
8.077,32
β
8.077,32
)ii + i( tropsnarT
.7
4.153,03
β
4.153,03
9.456,73
β
9.456,73
4.157,63
β
4.157,63
8.072,22
β
8.072,22
segdirB dna sdaoR
)i
0.000,3
β
0.000,3
8.254,3
β
8.254,3
0.008,3
β
0.008,3
0.005,1
β
0.005,1
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
314
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
NAHTSAJAR
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
8.79
β
8.79
6.32
β
6.32
5.18
β
5.18
4.21
β
4.21
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
8.128,5
1.0
7.128,5
9.201,2
1.0
8.201,2
3.281,1
1.0
2.281,1
6.596
β
6.596
)ii +
i( secivreS
cimonocE
lareneG.01
5.658
β
5.658
6.463
β
6.463
0.224
β
0.224
2.742
β
2.742
msiruoT
)i
3.569,4
1.0
2.569,4
3.837,1
1.0
2.837,1
3.067
1.0
2.067
4.844
β
4.844
@@ srehtO
)ii
8.702,6
5.29-
3.003,6
6.088,6
5.351
0.727,6
4.866,7
3.91
1.946,7
7.343,3
4.242-
1.685,3
)secivreS
lareneG( tnempoleveD-noN
.2
6.589,24
6.589,24
β
0.033,44
0.033,44
β
6.683,44
6.683,44
β
2.742,63
2.742,63
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
5.239,91
5.239,91
β
7.879,22
7.879,22
β
7.879,22
7.879,22
β
5.842,61
5.842,61
β
snaoL tekraM
.1
5.74
5.74
β
6.25
6.25
β
6.25
6.25
β
3.55
3.55
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
7.964,9
7.964,9
β
9.071,8
9.071,8
β
7.961,8
7.961,8
β
4.708,6
4.708,6
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
5.634
5.634
β
7.724
7.724
β
5.584
5.584
β
4.144
4.144
β
noitaroproC
β
β
β
β
β
β
β
β
β
β
β
β
IBR morf AMW
.6
2.905,21
2.905,21
β
1.734,21
1.734,21
β
1.734,21
1.734,21
β
5.504,21
5.504,21
β
FSSN
ot deussi seitiruceS
laicepS
.7
1.095
1.095
β
9.262
9.262
β
9.262
9.262
β
1.982
1.982
β
srehtO
.8
8.863
8.863
β
β
β
β
β
β
β
β
β
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
8.813,5
8.813,5
β
9.871,5
9.871,5
β
4.281,5
4.281,5
β
0.909,4
0.909,4
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
8.662,5
8.662,5
β
3.521,5
3.521,5
β
7.821,5
7.821,5
β
0.458,4
0.458,4
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
1.25
1.25
β
6.35
6.35
β
6.35
6.35
β
0.55
0.55
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
1.25
1.25
β
6.35
6.35
β
6.35
6.35
β
0.55
0.55
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
2.871,31
0.2
2.671,31
5.002,8
4.755
1.346,7
5.971,5
0.204
4.777,4
1.211,8
2.274,1
9.936,6
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
2.871,31
0.2
2.671,31
5.002,8
4.755
1.346,7
5.971,5
0.204
4.777,4
1.211,8
2.274,1
9.936,6
)b
+ a( sesopruP
tnempoleveD
.1
0.086,2
β
0.086,2
3.081,3
7.5
6.471,3
4.971,3
β
4.971,3
1.430,3
6.72
5.600,3
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
0.05
β
0.05
0.05
β
0.05
6.53
β
6.53
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
0.051,2
β
0.051,2
gnisuoH .5
β
β
β
β
β
β
β
β
β
β
β
β
)gnisuoH(
stnavreS tnemnrevoG
.6
0.086,2
β
0.086,2
3.031,3
7.5
6.421,3
4.921,3
β
4.921,3
5.848
6.72
9.028
srehtO .7
1.894,01
0.2
1.694,01
2.020,5
7.155
5.864,4
0.000,2
0.204
0.895,1
0.870,5
6.444,1
4.336,3
)01
ot 1( secivreS
cimonocE
)b
0.2
0.2
β
0.28
0.28
β
0.2
0.2
β
5.492
5.492
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
0.000,1
β
0.000,1
0.051,1
β
0.051,1
0.005,1
β
0.005,1
0.007
β
0.007
gnisuoheraW
dna egarotS
dooF .3
6.66
β
6.66
0.855
0.053
0.802
0.844
0.053
0.89
1.561,1
0.007
1.564
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
5.443,9
β
5.443,9
5.068,2
β
5.068,2
β
β
β
β
β
β
stcejorP
rewoP .6Appendix IV
315
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
NAHTSAJAR
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.58
β
0.58
β
β
β
β
β
β
1.32
β
1.32
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
β
β
β
7.963
7.911
0.052
0.05
0.05
β
3.598,2
1.054
2.544,2
srehtO.01
β
β
β
β
β
β
β
β
β
β
β
β
)b + a(
sesopruP tnempoleveD-noN
.2
β
β
β
β
β
β
β
β
β
β
β
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
3.448,24
3.448,24
β
0.647,04
0.647,04
β
7.365,73
7.365,73
β
6.209,73
6.209,73
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
3.027,12
3.027,12
β
8.567,12
8.567,12
β
4.957,81
4.957,81
β
0.687,91
0.687,91
β
sdnuF tnedivorP
etatS
.1
0.421,12
0.421,12
β
1.089,81
1.089,81
β
3.408,81
3.408,81
β
6.611,81
6.611,81
β
srehtO
.2
4.205,04
4.205,04
β
6.775,24
6.775,24
β
0.865,42
0.865,42
β
7.255,92
7.255,92
β
)4 ot 1( sdnuF
evreseR.IIIV
0.003
0.003
β
0.003
0.003
β
β
β
β
1.862
1.862
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
4.202,04
4.202,04
β
6.772,24
6.772,24
β
0.865,42
0.865,42
β
6.482,92
6.482,92
β
srehtO
.4
0.893,736,1
0.893,736,1
β
9.682,706,1
9.682,706,1
β
8.418,336,1
8.418,336,1
β
9.275,898
9.275,898
β
)4 ot 1( secnavdA dna
stisopeD
.XI
6.973,961
6.973,961
β
6.973,961
6.973,961
β
4.324,961
4.324,961
β
3.102,941
3.102,941
β
stisopeD
liviC
.1
1.107,523,1
1.107,523,1
β
1.107,523,1
1.107,523,1
β
0.272,323,1
0.272,323,1
β
1.843,356
1.843,356
β
sdnuF lacoL fo stisopeD
.2
7.05
7.05
β
7.05
7.05
β
7.053
7.053
β
9.38
9.38
β
secnavdA
liviC
.3
5.662,241
5.662,241
β
4.551,211
4.551,211
β
7.867,041
7.867,041
β
5.939,59
5.939,59
β
srehtO
.4
1.217,651,1
1.217,651,1
β
0.217,621,1
0.217,621,1
β
9.042,820,1
9.042,820,1
β
0.001,621,1
0.001,621,1
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
4.613,1
4.613,1
β
3.613,1
3.613,1
β
2.613,1
2.613,1
β
4.247
4.247
β
esnepsuS
.1
6.562,551,1
6.562,551,1
β
6.562,521,1
6.562,521,1
β
6.838,620,1
6.838,620,1
β
6.562,521,1
6.562,521,1
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
1.031
1.031
β
1.031
1.031
β
1.68
1.68
β
1.29
1.29
β
srehtO
.4
β
β
β
0.000,3
0.000,3
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
4.093,901
4.093,901
β
4.093,901
4.093,901
β
4.093,98
4.093,98
β
4.731,99
4.731,99
β
secnattimeR.IIX
2.865,5
1.691,24-
8.473,7
1.293,01-
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
7.721,5-
0.970,52-
8.388,83-
4.914,02-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
4.044
1.572,76-
0.905,13-
6.118,03-
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
4.044
1.572,76-
0.905,13-
6.118,03-
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
0.347,1
5.720,1
0.905,13-
0.194
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
7.061,1
2.331
4.501,5-
5.724-
ecnalaB gninepO
)a
7.309,2
7.061,1
3.416,63-
5.36
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
6.203,1-
6.203,86-
β
6.203,13-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
316
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
MIKKIS
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
5.572,38
2.977,27
3.694,01
4.719,57
4.407,85
0.312,71
2.262,47
2.429,75
0.833,61
9.240,18
5.328,17
5.912,9
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
2.276,21
9.571,2
3.694,01
5.802,81
5.599
0.312,71
5.333,71
5.599
0.833,61
8.011,01
4.198
5.912,9
$)stnuoccA
cilbuP
gnidulcxE(
3.554,01
β
3.554,01
0.340,71
β
0.340,71
0.861,61
β
0.861,61
5.911,9
β
5.911,9
)2 + 1( yaltuO
latipaC
latoT
.I
5.271,9
β
5.271,9
7.339,41
β
7.339,41
7.850,41
β
7.850,41
2.424,7
β
2.424,7
)b + a( tnempoleveD
.1
5.128,3
β
5.128,3
7.275,5
β
7.275,5
1.202,5
β
1.202,5
1.266,2
β
1.266,2
)9 ot 1( secivreS
laicoS
)a(
0.355
β
0.355
3.327
β
3.327
2.417
β
2.417
0.894
β
0.894
erutluC
dna trA ,stropS ,noitacudE
.1
7.902,1
β
7.902,1
2.738
β
2.738
5.077
β
5.077
7.439
β
7.439
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
1.049
β
1.049
3.353,1
β
3.353,1
0.661,1
β
0.661,1
4.293
β
4.293
noitatinaS dna ylppuS retaW
.4
β
β
β
7.751
β
7.751
7.751
β
7.751
4.79
β
4.79
gnisuoH
.5
5.117
β
5.117
2.313,2
β
2.313,2
7.502,2
β
7.502,2
6.126
β
6.126
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
9.061
β
9.061
0.19
β
0.19
0.19
β
0.19
6.81
β
6.81
sessalC
drawkcaB rehtO dna sebirT
2.642
β
2.642
9.67
β
9.67
9.67
β
9.67
9.69
β
9.69
erafleW dna ytiruceS laicoS
.8
β
β
β
0.02
β
0.02
0.02
β
0.02
5.2
β
5.2
* srehtO
.9
0.153,5
β
0.153,5
0.163,9
β
0.163,9
6.658,8
β
6.658,8
1.267,4
β
1.267,4
)01 ot 1( secivreS cimonocE)b(
6.541
β
6.541
0.602
β
0.602
3.071
β
3.071
0.421
β
0.421
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
0.81
β
0.81
4.22
β
4.22
4.22
β
4.22
8.91
β
8.91
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
7.93
β
7.93
6.42
β
6.42
2.81
β
2.81
0.42
β
0.42
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
4.3
β
4.3
4.02
β
4.02
4.02
β
4.02
7.31
β
7.31
seirehsiF
)v
2.46
β
2.46
2.71
β
2.71
2.71
β
2.71
4.42
β
4.42
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
2.02
β
2.02
4.66
β
4.66
1.73
β
1.73
5.5
β
5.5
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
β
β
β
0.55
β
0.55
0.55
β
0.55
7.23
β
7.23
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
0.4
β
0.4
@ srehtO
)ix
7.32
β
7.32
1.862
β
1.862
7.362
β
7.362
9.291
β
9.291
tnempoleveD laruR
.2
1.152
β
1.152
0.042
β
0.042
0.042
β
0.042
0.711
β
0.711
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
7.511
β
7.511
0.75
β
0.75
0.75
β
0.75
9.73
β
9.73
lortnoC doolF
3.598
β
3.598
3.896
β
3.896
0.246
β
0.246
5.266
β
5.266
ygrenE
.5
2.0
β
2.0
5.38
β
5.38
5.43
β
5.43
1.14
β
1.14
)vi ot i( slareniM dna yrtsudnI
.6
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
2.0
β
2.0
5.38
β
5.38
5.43
β
5.43
1.14
β
1.14
# srehtO
)vi
6.116,2
β
6.116,2
7.847,3
β
7.847,3
8.526,3
β
8.526,3
3.359,2
β
3.359,2
)ii + i( tropsnarT
.7
6.116,2
β
6.116,2
7.827,3
β
7.827,3
8.506,3
β
8.506,3
3.339,2
β
3.339,2
segdirB dna sdaoR
)i
β
β
β
0.02
β
0.02
0.02
β
0.02
0.02
β
0.02
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
317
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
MIKKIS
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
0.5
β
0.5
0.5
β
0.5
5.2
β
5.2
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
9.703,1
β
9.703,1
5.450,4
β
5.450,4
4.818,3
β
4.818,3
8.036
β
8.036
)ii +
i( secivreS
cimonocE
lareneG.01
9.703,1
β
9.703,1
0.840,4
β
0.840,4
9.118,3
β
9.118,3
8.036
β
8.036
msiruoT
)i
β
β
β
5.6
β
5.6
5.6
β
5.6
β
β
β
@@ srehtO
)ii
8.282,1
β
8.282,1
3.901,2
β
3.901,2
3.901,2
β
3.901,2
2.596,1
β
2.596,1
)secivreS
lareneG( tnempoleveD-noN
.2
2.698,1
2.698,1
β
4.687
4.687
β
4.687
4.687
β
7.446
7.446
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
2.091,1
2.091,1
β
2.422
2.422
β
2.422
2.422
β
7.561
7.561
β
snaoL tekraM
.1
7.59
7.59
β
3.98
3.98
β
3.98
3.98
β
2.67
2.67
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
7.664
7.664
β
6.623
6.623
β
6.623
6.623
β
7.182
7.182
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
5.7
5.7
β
5.7
5.7
β
5.7
5.7
β
5.7
5.7
β
noitaroproC
β
β
β
β
β
β
β
β
β
β
β
β
IBR morf AMW
.6
9.66
9.66
β
9.66
9.66
β
9.66
9.66
β
9.85
9.85
β
FSSN
ot deussi seitiruceS
laicepS
.7
3.96
3.96
β
9.17
9.17
β
9.17
9.17
β
7.45
7.45
β
srehtO
.8
8.74
8.74
β
8.74
8.74
β
8.74
8.74
β
8.74
8.74
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
1.401
1.401
β
6.301
6.301
β
6.301
6.301
β
7.242
7.242
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
3.99
3.99
β
0.99
0.99
β
0.99
0.99
β
9.19
9.19
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
3.1
3.1
β
3.1
3.1
β
3.1
3.1
β
4.741
4.741
β
semehcS derosnopS
yllartneC
.3
3.1
3.1
β
1.1
1.1
β
1.1
1.1
β
2.1
2.1
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
3.1
3.1
β
1.1
1.1
β
1.1
1.1
β
2.1
2.1
β
srehtO
)ii
2.2
2.2
β
2.2
2.2
β
2.2
2.2
β
2.2
2.2
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
5.612
5.571
0.14
5.572
5.501
0.071
5.572
5.501
0.071
0.401
0.4
0.001
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
5.512
5.471
0.14
5.472
5.401
0.071
5.472
5.401
0.071
0.401
0.4
0.001
)b
+ a( sesopruP
tnempoleveD
.1
5.42
5.42
β
5.421
5.401
0.02
5.421
5.401
0.02
0.401
0.4
0.001
)7 ot 1 ( secivreS
laicoS
)a
0.02
0.02
β
0.021
0.001
0.02
0.021
0.001
0.02
0.001
β
0.001
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
5.4
5.4
β
5.4
5.4
β
5.4
5.4
β
0.4
0.4
β
)gnisuoH(
stnavreS tnemnrevoG
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO .7
0.191
0.051
0.14
0.051
β
0.051
0.051
β
0.051
β
β
β
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
0.14
β
0.14
β
β
β
β
β
β
β
β
β
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
β
β
β
β
β
β
β
β
β
β
β
β
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
318
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
MIKKIS
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
0.051
0.051
β
0.051
β
0.051
0.051
β
0.051
β
β
β
srehtO.01
0.1
0.1
β
0.1
0.1
β
0.1
0.1
β
β
β
β
)b + a(
sesopruP tnempoleveD-noN
.2
0.1
0.1
β
0.1
0.1
β
0.1
0.1
β
β
β
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
0.01
0.01
β
dnuF ycnegnitnoC
.IV
9.152,2
9.152,2
β
7.114,2
7.114,2
β
9.790,2
9.790,2
β
5.018,1
5.018,1
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
2.032,2
2.032,2
β
0.093,2
0.093,2
β
0.080,2
0.080,2
β
5.497,1
5.497,1
β
sdnuF tnedivorP
etatS
.1
7.12
7.12
β
7.12
7.12
β
9.71
9.71
β
0.61
0.61
β
srehtO
.2
0.043,1
0.043,1
β
8.506,1
8.506,1
β
0.260,1
0.260,1
β
4.219,1
4.219,1
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
0.021
0.021
β
2.593
2.593
β
0.021
0.021
β
3.272
3.272
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
0.022,1
0.022,1
β
6.012,1
6.012,1
β
0.249
0.249
β
1.046,1
1.046,1
β
srehtO
.4
2.979,8
2.979,8
β
0.850,1
0.850,1
β
0.850,1
0.850,1
β
7.458
7.458
β
)4 ot 1( secnavdA dna
stisopeD
.XI
2.454,8
2.454,8
β
0.886
0.886
β
0.886
0.886
β
5.094
5.094
β
stisopeD
liviC
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF lacoL fo stisopeD
.2
β
β
β
β
β
β
β
β
β
β
β
β
secnavdA
liviC
.3
0.525
0.525
β
0.073
0.073
β
0.073
0.073
β
2.463
2.463
β
srehtO
.4
4.365,24
4.365,24
β
4.272,04
4.272,04
β
4.272,04
4.272,04
β
5.159,05
5.159,05
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
6.21
6.21
β
5.52
5.52
β
5.52
5.52
β
2.9
2.9
β
esnepsuS
.1
0.004,61
0.004,61
β
0.004,61
0.004,61
β
0.004,61
0.004,61
β
0.002,42
0.002,42
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
9.051,62
9.051,62
β
8.648,32
8.648,32
β
8.648,32
8.648,32
β
3.247,62
3.247,62
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
8.864,51
8.864,51
β
1.163,21
1.163,21
β
5.834,21
5.834,21
β
0.393,51
0.393,51
β
secnattimeR.IIX
0.434,5
7.738,21
5.347,21
8.486,8
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
2.434,5-
1.541,31-
9.347,21-
4.236,6-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
2.0-
5.703-
4.0-
4.250,2
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
2.0-
5.703-
4.0-
4.250,2
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
2.0-
5.703-
4.0-
4.250,2
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
6.893,2
0.607,2
0.356
6.356
ecnalaB gninepO
)a
4.893,2
6.893,2
6.256
0.607,2
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
β
β
β
β
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
319
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
UDAN
LIMAT
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
6.718,655,3
5.038,903,3
1.789,642
8.487,668,3
7.101,856,3
0.386,802
5.001,479,2
6.228,137,2
9.772,242
7.674,383,4
5.909,012,4
2.765,271
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
3.214,053
3.524,301
1.789,642
7.141,603
6.854,79
0.386,802
5.508,633
7.725,49
9.772,242
1.776,342
9.901,17
2.765,271
$)stnuoccA
cilbuP
gnidulcxE(
6.721,342
0.604,4
6.127,832
9.114,302
0.641,5
9.562,891
0.848,632
2.924,4
8.814,232
7.037,171
8.010,3
9.917,861
)2 + 1( yaltuO
latipaC
latoT
.I
7.329,212
9.23
8.098,212
6.546,281
9.401
7.045,281
6.103,602
0.03
6.172,602
3.317,561
8.433
6.873,561
)b + a( tnempoleveD
.1
2.699,26
8.02
4.579,26
5.557,55
6.29
0.366,55
1.147,86
9.72
3.317,86
0.090,76
8.934
2.056,66
)9 ot 1( secivreS
laicoS
)a(
4.625,6
4.1
1.525,6
9.541,6
7.07
2.570,6
0.028,5
β
0.028,5
5.746,3
6.992
9.743,3
erutluC
dna trA ,stropS ,noitacudE
.1
0.072,2
β
0.072,2
7.134,3
β
7.134,3
6.655,3
β
6.655,3
4.826,3
β
4.826,3
htlaeH cilbuP dna lacideM
.2
2.302,1
β
2.302,1
2.638,1
β
2.638,1
9.048,1
β
9.048,1
0.062,2
β
0.062,2
erafleW ylimaF
.3
7.681,61
β
7.681,61
4.145,61
β
4.145,61
9.287,51
β
9.287,51
3.438,31
β
3.438,31
noitatinaS dna ylppuS retaW
.4
7.426,2
3.31
4.116,2
8.122,3
2.61
6.502,3
1.115,71
5.22
6.884,71
9.683,02
4.21-
3.993,02
gnisuoH
.5
4.107,03
β
4.107,03
6.776,91
β
6.776,91
7.413,91
β
7.413,91
6.154,71
β
6.154,71
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
4.198,2
β
4.198,2
4.970,3
β
4.970,3
7.426,3
β
7.426,3
5.695,1
β
5.695,1
sessalC
drawkcaB rehtO dna sebirT
0.512
β
0.512
9.302
β
9.302
4.773
β
4.773
0.702
β
0.702
erafleW dna ytiruceS laicoS
.8
3.773
1.6
2.173
7.716,1
6.5
0.216,1
8.219
4.5
4.709
8.770,4
6.251
2.529,3
* srehtO
.9
5.729,941
1.21
4.519,941
1.098,621
4.21
7.778,621
5.065,731
2.2
3.855,731
3.326,89
0.501-
3.827,89
)01 ot 1( secivreS cimonocE)b(
9.284,51
0.05-
9.235,51
8.845,11
0.05-
8.895,11
6.466,41
0.06-
6.427,41
8.349,6
4.021-
2.460,7
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
6.545,1
β
6.545,1
4.18
β
4.18
2.81
β
2.81
8.582
β
8.582
yrdnabsuH porC
)i
1.433
β
1.433
2.604
β
2.604
4.13
β
4.13
3.115
β
3.115
noitavresnoC retaW dna lioS
)ii
8.995
β
8.995
7.278
β
7.278
5.816
β
5.816
3.694
β
3.694
yrdnabsuH laminA
)iii
5.685
β
5.685
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
5.729,2
β
5.729,2
4.985,1
β
4.985,1
8.126,3
β
8.126,3
5.146,1
β
5.146,1
seirehsiF
)v
6.756,1
β
6.756,1
9.269,1
β
9.269,1
3.015,2
0.01-
3.025,2
1.543,2
β
1.543,2
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
6.573,5
β
6.573,5
3.028,3
β
3.028,3
0.542,5
β
0.542,5
0.864
β
0.864
gnisuoheraW
dna egarotS dooF)iiiv
5.83
β
5.83
0.04
β
0.04
6.83
β
6.83
4.04
β
4.04
noitacudE
dna hcraeseR larutlucirgA
)xi
7.714,1
0.05-
7.764,1
8.006,1
0.05-
8.056,1
8.085,1
0.05-
8.036,1
8.297
4.021-
1.319
noitarepo-oC
)x
0.000,1
β
0.000,1
1.571,1
β
1.571,1
0.000,1
β
0.000,1
6.263
β
6.263
@ srehtO
)ix
2.202,91
β
2.202,91
9.821,91
β
9.821,91
5.401,81
β
5.401,81
3.782,41
β
3.782,41
tnempoleveD laruR
.2
8.998
β
8.998
5.323
β
5.323
7.811
β
7.811
0.633
β
0.633
semmargorP aerA laicepS
.3
8.998
β
8.998
5.323
β
5.323
7.811
β
7.811
0.633
β
0.633
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
4.926,71
β
4.926,71
6.157,41
β
6.157,41
5.244,91
β
5.244,91
0.547,9
β
0.547,9
lortnoC doolF
0.000,02
β
0.000,02
2.231,22
β
2.231,22
0.086,02
β
0.086,02
0.035,12
β
0.035,12
ygrenE
.5
5.847
β
5.847
5.023
β
5.023
0.625
β
0.625
1.983
β
1.983
)vi ot i( slareniM dna yrtsudnI
.6
0.005
β
0.005
1.37
β
1.37
0.325
β
0.325
1.871
β
1.871
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
0.3
β
0.3
0.3
β
0.3
β
β
β
seirtsudnI lacigrullateM
5.842
β
5.842
4.442
β
4.442
β
β
β
0.112
β
0.112
# srehtO
)vi
1.609,27
0.26
2.448,27
8.653,65
3.26
5.492,65
9.006,16
1.26
8.835,16
5.036,34
3.51
2.516,34
)ii + i( tropsnarT
.7
2.990,96
0.26
2.730,96
8.623,05
3.26
5.462,05
5.249,85
1.26
4.088,85
9.748,93
3.51
5.238,93
segdirB dna sdaoR
)i
0.708,3
β
0.708,3
0.030,6
β
0.030,6
4.856,2
β
4.856,2
6.287,3
β
6.287,3
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
320
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
UDAN
LIMAT
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.005
β
0.005
6.839
β
6.839
0.000,1
β
0.000,1
6.170,1
β
6.170,1
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
6.855,2
1.0
5.855,2
1.983,1
1.0
1.983,1
3.324,1
1.0
2.324,1
1.096
1.0
0.096
)ii +
i( secivreS
cimonocE
lareneG.01
0.055,1
β
0.055,1
6.902
β
6.902
4.095
β
4.095
6.391
β
6.391
msiruoT
)i
6.800,1
1.0
5.800,1
5.971,1
1.0
4.971,1
9.238
1.0
8.238
5.694
1.0
5.694
@@ srehtO
)ii
9.302,03
1.373,4
8.038,52
3.667,02
1.140,5
2.527,51
4.645,03
1.993,4
2.741,62
3.710,6
0.676,2
3.143,3
)secivreS
lareneG( tnempoleveD-noN
.2
2.715,66
2.715,66
β
0.633,75
0.633,75
β
1.050,86
1.050,86
β
2.508,24
2.508,24
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
9.915,12
9.915,12
β
9.070,42
9.070,42
β
5.060,42
5.060,42
β
2.486,02
2.486,02
β
snaoL tekraM
.1
4.396
4.396
β
8.317
8.317
β
8.317
8.317
β
5.627
5.627
β
CIL morf snaoL
.2
7.982
7.982
β
8.862
8.862
β
8.862
8.862
β
4.942
4.942
β
sknaB
rehto dna
IBS morf snaoL
.3
5.027,9
5.027,9
β
3.588,8
3.588,8
β
3.588,8
3.588,8
β
7.507,7
7.507,7
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
2.604
2.604
β
7.343
7.343
β
7.373
7.373
β
8.742
8.742
β
noitaroproC
β
β
β
β
β
β
β
β
β
β
β
β
IBR morf AMW
.6
1.984,31
1.984,31
β
7.145,21
7.145,21
β
3.761,31
3.761,31
β
9.015,21
9.015,21
β
FSSN
ot deussi seitiruceS
laicepS
.7
6.893,02
6.893,02
β
7.115,01
7.115,01
β
8.085,02
8.085,02
β
8.086
8.086
β
srehtO
.8
0.000,02
0.000,02
β
0.000,01
0.000,01
β
0.000,02
0.000,02
β
β
β
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
0.840,9
0.840,9
β
4.206,7
4.206,7
β
7.449,6
7.449,6
β
1.969,6
1.969,6
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
5.769,8
5.769,8
β
6.645,7
6.645,7
β
9.168,6
9.168,6
β
8.219,6
8.219,6
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
5.08
5.08
β
9.55
9.55
β
8.28
8.28
β
2.65
2.65
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
5.08
5.08
β
9.55
9.55
β
8.28
8.28
β
2.65
2.65
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
1.900,23
6.347,32
5.562,8
2.060,83
0.346,72
1.714,01
4.132,52
4.273,51
1.958,9
5.124,22
2.475,81
3.748,3
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
6.449,03
1.786,22
5.752,8
6.540,73
5.636,62
1.904,01
9.913,42
8.864,41
1.158,9
1.885,12
7.047,71
3.748,3
)b
+ a( sesopruP
tnempoleveD
.1
8.732,9
6.006,2
2.736,6
5.883,7
6.284,2
9.509,4
7.187,5
2.267,2
5.910,3
7.737,6
4.669,2
3.177,3
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
9.271
9.271
β
7.336
7.622
0.704
7.622
7.622
β
5.413,1
5.413,1
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
8.724,2
8.724,2
β
9.220,4
9.552,2
0.767,1
6.203,4
5.535,2
0.767,1
9.156,2
9.156,1
0.000,1
)gnisuoH(
stnavreS tnemnrevoG
.6
2.736,6
β
2.736,6
9.137,2
β
9.137,2
5.252,1
β
5.252,1
3.177,2
β
3.177,2
srehtO .7
7.607,12
4.680,02
3.026,1
1.756,92
9.351,42
2.305,5
1.835,81
6.607,11
5.138,6
3.058,41
3.477,41
0.67
)01
ot 1( secivreS
cimonocE
)b
0.005,1
0.005,1
β
0.005,1
0.005,1
β
0.005,1
0.005,1
β
4.494,1
4.494,1
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
8.121
β
8.121
5.792,1
9.731,1
6.951
1.061
β
1.061
0.628
0.057
0.67
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
0.027,41
0.027,41
β
0.000,02
0.000,02
β
0.000,01
0.000,01
β
0.599,9
0.599,9
β
stcejorP
rewoP .6Appendix IV
321
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
UDAN
LIMAT
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.003
0.003
β
5.453
5.453
β
6.602
6.602
β
4.605
4.605
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
3.1
3.1
β
β
β
β
0.526
0.526
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
9.460,5
4.665,3
5.894,1
8.305,6
2.061,1
6.343,5
4.176,6
β
4.176,6
5.304,1
5.304,1
β
srehtO.01
6.460,1
6.650,1
0.8
6.410,1
6.600,1
0.8
6.119
6.309
0.8
5.338
5.338
β
)b + a(
sesopruP tnempoleveD-noN
.2
5.650,1
5.650,1
β
5.600,1
5.600,1
β
5.309
5.309
β
5.338
5.338
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
0.8
β
0.8
0.8
β
0.8
0.8
β
0.8
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
8.781
8.781
β
dnuF ycnegnitnoC
.IV
9.708,55
9.708,55
β
6.327,05
6.327,05
β
1.541,25
1.541,25
β
0.822,25
0.822,25
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
0.558,45
0.558,45
β
7.077,94
7.077,94
β
6.313,15
6.313,15
β
0.403,15
0.403,15
β
sdnuF tnedivorP
etatS
.1
9.259
9.259
β
9.259
9.259
β
5.138
5.138
β
0.429
0.429
β
srehtO
.2
6.672,72
6.672,72
β
3.490,83
3.490,83
β
4.617,93
4.617,93
β
6.377,64
6.377,64
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
4.4
4.4
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
9.545,3
9.545,3
β
4.864,6
4.864,6
β
8.808,4
8.808,4
β
6.734,8
6.734,8
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
7.037,32
7.037,32
β
8.526,13
8.526,13
β
6.709,43
6.709,43
β
6.133,83
6.133,83
β
srehtO
.4
2.759,908
2.759,908
β
6.921,075
6.921,075
β
0.151,045
0.151,045
β
6.235,753
6.235,753
β
)4 ot 1( secnavdA dna
stisopeD
.XI
3.346,672
3.346,672
β
4.118,182
4.118,182
β
5.466,612
5.466,612
β
3.912,822
3.912,822
β
stisopeD
liviC
.1
6.889,72
6.889,72
β
6.616,52
6.616,52
β
2.565,12
2.565,12
β
8.253,22
8.253,22
β
sdnuF lacoL fo stisopeD
.2
9.920,1
9.920,1
β
0.920,1
0.920,1
β
1.843
1.843
β
7.650,1
7.650,1
β
secnavdA
liviC
.3
4.592,405
4.592,405
β
6.276,162
6.276,162
β
2.375,103
2.375,103
β
7.309,501
7.309,501
β
srehtO
.4
4.364,162,2
4.364,162,2
β
4.618,948,2
4.618,948,2
β
3.801,369,1
3.801,369,1
β
7.728,336,3
7.728,336,3
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
2.700,25-
2.700,25-
β
2.700,25-
2.700,25-
β
0.645,84-
0.645,84-
β
8.648,45
8.648,45
β
esnepsuS
.1
0.000,002,1
0.000,002,1
β
8.074,048,1
8.074,048,1
β
6.647,170,1
6.647,170,1
β
4.219,885,2
4.219,885,2
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
6.074,311,1
6.074,311,1
β
8.253,160,1
8.253,160,1
β
7.709,939
7.709,939
β
6.860,099
6.860,099
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
5.016,15
5.016,15
β
5.016,15
5.016,15
β
3.509,14
3.509,14
β
6.000,94
6.000,94
β
secnattimeR.IIX
2.061,64-
7.763,53-
5.398,2
4.288,71-
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
0.455,52
5.646,41
8.774,12-
5.397,6-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
3.606,02-
2.127,02-
2.485,81-
0.676,42-
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
3.606,02-
2.127,02-
2.485,81-
9.576,42-
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
5.693
5.878
2.465-
1.538,7
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
2.647,1-
7.426,2-
6.167-
7.954,01-
ecnalaB gninepO
)a
7.943,1-
2.647,1-
8.523,1-
6.426,2-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
8.200,12-
7.995,12-
0.020,81-
0.115,23-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
322
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
ANAGNALET
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.464,455
0.866,373
1.697,081
9.893,105
6.742,623
3.151,571
4.306,105
6.742,623
8.553,571
β
β
β
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
8.985,412
7.397,33
1.697,081
1.284,102
7.033,62
3.151,571
5.686,102
7.033,62
8.553,571
β
β
β
$)stnuoccA
cilbuP
gnidulcxE(
1.528,951
β
1.528,951
4.708,051
β
4.708,051
9.110,151
β
9.110,151
β
β
β
)2 + 1( yaltuO
latipaC
latoT
.I
5.289,351
β
5.289,351
0.309,541
β
0.309,541
5.701,641
β
5.701,641
β
β
β
)b + a( tnempoleveD
.1
7.818,91
β
7.818,91
5.998,14
β
5.998,14
5.580,24
β
5.580,24
β
β
β
)9 ot 1( secivreS
laicoS
)a(
0.554,3
β
0.554,3
0.712,4
β
0.712,4
0.712,4
β
0.712,4
β
β
β
erutluC
dna trA ,stropS ,noitacudE
.1
0.087,6
β
0.087,6
8.819,5
β
8.819,5
8.819,5
β
8.819,5
β
β
β
htlaeH cilbuP dna lacideM
.2
8.1
β
8.1
8.1
β
8.1
8.1
β
8.1
β
β
β
erafleW ylimaF
.3
7.254
β
7.254
4.062,22
β
4.062,22
1.313,22
β
1.313,22
β
β
β
noitatinaS dna ylppuS retaW
.4
9.322,1
β
9.322,1
4.157
β
4.157
4.157
β
4.157
β
β
β
gnisuoH
.5
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
0.159,6
β
0.159,6
8.905,8
β
8.905,8
0.346,8
β
0.346,8
β
β
β
sessalC
drawkcaB rehtO dna sebirT
4.249
β
4.249
5.822
β
5.822
5.822
β
5.822
β
β
β
erafleW dna ytiruceS laicoS
.8
8.11
β
8.11
8.11
β
8.11
8.11
β
8.11
β
β
β
* srehtO
.9
8.361,431
β
8.361,431
6.300,401
β
6.300,401
0.220,401
β
0.220,401
β
β
β
)01 ot 1( secivreS cimonocE)b(
6.281,5
β
6.281,5
1.512
β
1.512
7.512
β
7.512
β
β
β
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
0.25
β
0.25
0.25
β
0.25
0.25
β
0.25
β
β
β
yrdnabsuH laminA
)iii
5.201,1
β
5.201,1
1.361
β
1.361
1.361
β
1.361
β
β
β
tnempoleveD yriaD
)vi
β
β
β
β
β
β
β
β
β
β
β
β
seirehsiF
)v
β
β
β
β
β
β
β
β
β
β
β
β
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
6.0
β
6.0
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
β
β
β
β
β
β
β
β
β
β
β
β
noitarepo-oC
)x
2.820,4
β
2.820,4
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
9.989,96
β
9.989,96
7.097,36
β
7.097,36
0.057,36
β
0.057,36
β
β
β
lortnoC doolF
1.460,01
β
1.460,01
1.340,01
β
1.340,01
6.101,01
β
6.101,01
β
β
β
ygrenE
.5
3.56
β
3.56
0.85
β
0.85
0.85
β
0.85
β
β
β
)vi ot i( slareniM dna yrtsudnI
.6
β
β
β
2.0
β
2.0
2.0
β
2.0
β
β
β
seirtsudnI llamS dna egalliV
)i
5.73
β
5.73
0.03
β
0.03
0.03
β
0.03
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
8.72
β
8.72
8.72
β
8.72
8.72
β
8.72
β
β
β
# srehtO
)vi
9.168,24
β
9.168,24
6.505,12
β
6.505,12
6.505,12
β
6.505,12
β
β
β
)ii + i( tropsnarT
.7
9.108,24
β
9.108,24
6.544,12
β
6.544,12
6.544,12
β
6.544,12
β
β
β
segdirB dna sdaoR
)i
0.06
β
0.06
0.06
β
0.06
0.06
β
0.06
β
β
β
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
323
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
ANAGNALET
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
0.000,6
β
0.000,6
1.193,8
β
1.193,8
1.193,8
β
1.193,8
β
β
β
)ii +
i( secivreS
cimonocE
lareneG.01
β
β
β
β
β
β
β
β
β
β
β
β
msiruoT
)i
0.000,6
β
0.000,6
1.193,8
β
1.193,8
1.193,8
β
1.193,8
β
β
β
@@ srehtO
)ii
6.248,5
β
6.248,5
4.409,4
β
4.409,4
4.409,4
β
4.409,4
β
β
β
)secivreS
lareneG( tnempoleveD-noN
.2
2.376,23
2.376,23
β
8.253,62
8.253,62
β
8.253,62
8.253,62
β
β
β
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
9.281,11
9.281,11
β
5.088,5
5.088,5
β
5.088,5
5.088,5
β
β
β
β
snaoL tekraM
.1
7.171
7.171
β
0.81
0.81
β
0.81
0.81
β
β
β
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
0.000,5
0.000,5
β
3.722,4
3.722,4
β
3.722,4
3.722,4
β
β
β
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.602
0.602
β
6.871
6.871
β
6.871
6.871
β
β
β
β
noitaroproC
0.003,6
0.003,6
β
0.003,6
0.003,6
β
0.003,6
0.003,6
β
β
β
β
IBR morf AMW
.6
0.005,6
0.005,6
β
0.080,5
0.080,5
β
0.080,5
0.080,5
β
β
β
β
FSSN
ot deussi seitiruceS
laicepS
.7
6.213,3
6.213,3
β
4.866,4
4.866,4
β
4.866,4
4.866,4
β
β
β
β
srehtO
.8
8.510,1
8.510,1
β
8.510,1
8.510,1
β
8.510,1
8.510,1
β
β
β
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
4.074,4
4.074,4
β
7.098,3
7.098,3
β
7.098,3
7.098,3
β
β
β
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
6.444,4
6.444,4
β
1.568,3
1.568,3
β
1.568,3
1.568,3
β
β
β
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
8.52
8.52
β
6.52
6.52
β
6.52
6.52
β
β
β
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
8.52
8.52
β
6.52
6.52
β
6.52
6.52
β
β
β
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
0.129,32
1.059,2
0.179,02
1.137,62
2.783,2
9.343,42
1.137,62
2.783,2
9.343,42
β
β
β
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
8.091,32
8.912,2
0.179,02
7.603,62
8.269,1
9.343,42
7.603,62
8.269,1
9.343,42
β
β
β
)b
+ a( sesopruP
tnempoleveD
.1
8.407,81
6.153,1
2.353,71
3.579,91
6.490,1
6.088,81
3.579,91
6.490,1
6.088,81
β
β
β
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
7.56
β
7.56
7.56
β
7.56
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
1.572
1.572
β
1.572
1.572
β
1.572
1.572
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
3.881,7
β
3.881,7
0.000,4
β
0.000,4
0.000,4
β
0.000,4
β
β
β
noitatinaS
dna ylppuS
retaW .4
6.326
0.625
6.79
6.326
0.625
6.79
6.326
0.625
6.79
β
β
β
gnisuoH .5
5.055
5.055
β
5.392
5.392
β
5.392
5.392
β
β
β
β
)gnisuoH(
stnavreS tnemnrevoG
.6
3.760,01
β
3.760,01
3.717,41
β
3.717,41
3.717,41
β
3.717,41
β
β
β
srehtO .7
9.584,4
2.868
7.716,3
4.133,6
2.868
2.364,5
4.133,6
2.868
2.364,5
β
β
β
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
0.009,1
β
0.009,1
5.047,3
β
5.047,3
5.047,3
β
5.047,3
β
β
β
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
324
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
ANAGNALET
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
9.585,2
2.868
7.717,1
9.095,2
2.868
7.227,1
9.095,2
2.868
7.227,1
β
β
β
srehtO.01
3.037
3.037
β
4.424
4.424
β
4.424
4.424
β
β
β
β
)b + a(
sesopruP tnempoleveD-noN
.2
3.037
3.037
β
4.424
4.424
β
4.424
4.424
β
β
β
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
0.000,71
0.000,71
β
9.101,41
9.101,41
β
9.101,41
9.101,41
β
β
β
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
1.713,31
1.713,31
β
0.826,01
0.826,01
β
0.826,01
0.826,01
β
β
β
β
sdnuF tnedivorP
etatS
.1
9.286,3
9.286,3
β
8.374,3
8.374,3
β
8.374,3
8.374,3
β
β
β
β
srehtO
.2
0.508,41
0.508,41
β
2.810,81
2.810,81
β
2.810,81
2.810,81
β
β
β
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
7.064,7
7.064,7
β
0.877,6
0.877,6
β
0.877,6
0.877,6
β
β
β
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
3.443,7
3.443,7
β
2.042,11
2.042,11
β
2.042,11
2.042,11
β
β
β
β
srehtO
.4
2.967,103
2.967,103
β
0.945,532
0.945,532
β
0.945,532
0.945,532
β
β
β
β
)4 ot 1( secnavdA dna
stisopeD
.XI
0.645,651
0.645,651
β
1.552,621
1.552,621
β
1.552,621
1.552,621
β
β
β
β
stisopeD
liviC
.1
6.600,36
6.600,36
β
7.872,75
7.872,75
β
7.872,75
7.872,75
β
β
β
β
sdnuF lacoL fo stisopeD
.2
4.108
4.108
β
5.827
5.827
β
5.827
5.827
β
β
β
β
secnavdA
liviC
.3
4.514,18
4.514,18
β
7.682,15
7.682,15
β
7.682,15
7.682,15
β
β
β
β
srehtO
.4
β
β
β
8.744,52
8.744,52
β
8.744,52
8.744,52
β
β
β
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
β
β
β
β
β
β
β
β
β
β
β
β
esnepsuS
.1
β
β
β
8.744,52
8.744,52
β
8.744,52
8.744,52
β
β
β
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.4
β
β
β
0.005
0.005
β
0.005
0.005
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
β
β
β
β
β
β
β
β
β
β
β
β
secnattimeR.IIX
0.313,5
7.508,2
2.010,3
β
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
2.443,5-
5.057,2-
0.559,2-
β
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
2.13-
2.55
2.55
β
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
3.13-
2.55
2.55
β
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
3.13-
6.293,52-
6.293,52-
β
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
2.55
8.744,52
8.744,52
β
ecnalaB gninepO
)a
9.32
2.55
2.55
β
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
β
8.744,52
8.744,52
β
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
325
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
ARUPIRT
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
9.077,725
2.115,474
7.952,35
7.150,083
8.473,343
9.676,63
6.634,585
1.077,645
5.666,83
4.093,735
9.567,025
5.426,61
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
7.332,85
0.479,4
7.952,35
8.369,04
9.682,4
9.676,63
0.378,24
5.602,4
5.666,83
2.467,81
7.931,2
5.426,61
$)stnuoccA
cilbuP
gnidulcxE(
0.981,35
4.921
7.950,35
9.376,63
3.151
6.225,63
2.475,83
0.26
2.215,83
3.704,61
2.26-
5.964,61
)2 + 1( yaltuO
latipaC
latoT
.I
4.724,04
0.5
4.224,04
9.772,13
0.5
9.272,13
1.161,13
0.5
1.651,13
2.159,31
5.68-
7.730,41
)b + a( tnempoleveD
.1
5.831,21
β
5.831,21
8.825,21
β
8.825,21
8.801,8
β
8.801,8
0.893,6
3.04-
3.834,6
)9 ot 1( secivreS
laicoS
)a(
3.907,1
β
3.907,1
0.921,2
β
0.921,2
6.494,1
β
6.494,1
9.734,1
β
9.734,1
erutluC
dna trA ,stropS ,noitacudE
.1
4.759,1
β
4.759,1
9.126,1
β
9.126,1
7.508
β
7.508
2.150,1
0.1
3.050,1
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
2.421,2
β
2.421,2
4.708,2
β
4.708,2
4.204,2
β
4.204,2
0.137,2
β
0.137,2
noitatinaS dna ylppuS retaW
.4
3.546,1
β
3.546,1
3.145,1
β
3.145,1
4.025,1
β
4.025,1
1.79
β
1.79
gnisuoH
.5
7.320,3
β
7.320,3
8.778,2
β
8.778,2
7.845
β
7.845
8.294
β
8.294
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
6.506,1
β
6.506,1
1.863,1
β
1.863,1
7.132,1
β
7.132,1
5.314
2.14-
8.454
sessalC
drawkcaB rehtO dna sebirT
β
β
β
5.87
β
5.87
0.9
β
0.9
1.76
β
1.76
erafleW dna ytiruceS laicoS
.8
0.37
β
0.37
8.401
β
8.401
4.69
β
4.69
3.701
β
3.701
* srehtO
.9
9.882,82
0.5
9.382,82
1.947,81
0.5
1.447,81
3.250,32
0.5
3.740,32
2.355,7
2.64-
4.995,7
)01 ot 1( secivreS cimonocE)b(
7.096,1
β
7.096,1
3.792,1
β
3.792,1
5.114,1
β
5.114,1
2.239
2.66-
4.899
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
1.394
β
1.394
8.733
β
8.733
3.193
β
3.193
1.93
2.66-
3.501
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
8.37
β
8.37
1.54
β
1.54
4.07
β
4.07
0.19
β
0.19
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
1.03
β
1.03
0.13
β
0.13
2.33
β
2.33
5.71
β
5.71
seirehsiF
)v
0.056
β
0.056
2.556
β
2.556
6.056
β
6.056
6.015
β
6.015
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
6.211
β
6.211
5.35
β
5.35
2.51
β
2.51
3.66
β
3.66
gnisuoheraW
dna egarotS dooF)iiiv
0.94
β
0.94
0.8
β
0.8
5.6
β
5.6
6.7
β
6.7
noitacudE
dna hcraeseR larutlucirgA
)xi
0.26
β
0.26
0.56
β
0.56
0.05
β
0.05
0.54
β
0.54
noitarepo-oC
)x
2.022
β
2.022
8.101
β
8.101
4.491
β
4.491
1.551
β
1.551
@ srehtO
)ix
4.803,41
β
4.803,41
3.540,7
β
3.540,7
8.301,11
β
8.301,11
3.671
β
3.671
tnempoleveD laruR
.2
1.755
β
1.755
6.609
β
6.609
2.738
β
2.738
0.210,1
β
0.210,1
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
9.554,2
β
9.554,2
1.807,1
β
1.807,1
1.611,2
β
1.611,2
3.964
β
3.964
lortnoC doolF
0.217,1
β
0.217,1
4.726
β
4.726
8.075
β
8.075
6.926
β
6.926
ygrenE
.5
3.492
β
3.492
3.753
β
3.753
1.983
β
1.983
0.973
β
0.973
)vi ot i( slareniM dna yrtsudnI
.6
0.4
β
0.4
0.8
β
0.8
0.8
β
0.8
0.71
β
0.71
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
3.092
β
3.092
3.943
β
3.943
1.183
β
1.183
0.263
β
0.263
# srehtO
)vi
2.617,6
β
2.617,6
1.832,6
β
1.832,6
4.312,6
β
4.312,6
5.446,3
0.51
5.926,3
)ii + i( tropsnarT
.7
4.795,6
β
4.795,6
2.429,5
β
2.429,5
7.948,5
β
7.948,5
7.751,3
β
7.751,3
segdirB dna sdaoR
)i
9.811
β
9.811
9.313
β
9.313
7.363
β
7.363
8.684
0.51
8.174
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
326
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
ARUPIRT
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
4.211
β
4.211
6.901
β
6.901
9.1
β
9.1
6.15
β
6.15
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
8.144
0.5
8.634
5.954
0.5
5.454
4.804
0.5
4.304
8.852
0.5
8.352
)ii +
i( secivreS
cimonocE
lareneG.01
1.001
β
1.001
2.44
β
2.44
1.97
β
1.97
2.84
β
2.84
msiruoT
)i
7.143
0.5
7.633
3.514
0.5
3.014
3.923
0.5
3.423
6.012
0.5
6.502
@@ srehtO
)ii
6.167,21
4.421
3.736,21
1.693,5
3.641
7.942,5
1.314,7
0.75
1.653,7
1.654,2
3.42
7.134,2
)secivreS
lareneG( tnempoleveD-noN
.2
1.315,4
1.315,4
β
3.418,3
3.418,3
β
5.295,3
5.295,3
β
4.127,1
4.127,1
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
0.002,2
0.002,2
β
0.661,1
0.661,1
β
4.303,1
4.303,1
β
7.677
7.677
β
snaoL tekraM
.1
5.061
5.061
β
7.651
7.651
β
7.651
7.651
β
3.851
3.851
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
8.966
8.966
β
9.546
9.546
β
8.276
8.276
β
7.511
7.511
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
3.4
3.4
β
4.4
4.4
β
8.2
8.2
β
8.2
8.2
β
noitaroproC
β
β
β
β
β
β
β
β
β
β
β
β
IBR morf AMW
.6
4.204,1
4.204,1
β
0.665
0.665
β
0.868
0.868
β
7.865
7.865
β
FSSN
ot deussi seitiruceS
laicepS
.7
0.67
0.67
β
4.572,1
4.572,1
β
8.885
8.885
β
2.99
2.99
β
srehtO
.8
0.76
0.76
β
6.36
6.36
β
0.08
0.08
β
3.59
3.59
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
6.033
6.033
β
7.613
7.613
β
0.255
0.255
β
7.774
7.774
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
8.603
8.603
β
8.982
8.982
β
0.325
0.325
β
5.782
5.782
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
7.0
7.0
β
7.4
7.4
β
semehcS
nalP lartneC
.2
9.0
9.0
β
9.0
9.0
β
0.4
0.4
β
6.361
6.361
β
semehcS derosnopS
yllartneC
.3
4.6
4.6
β
2.01
2.01
β
3.8
3.8
β
2.6
2.6
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
4.6
4.6
β
2.01
2.01
β
3.8
3.8
β
2.6
2.6
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
5.61
5.61
β
7.51
7.51
β
1.61
1.61
β
6.51
6.51
β
semehcS laicepS
rof snaoL
.6
β
β
β
2.0
2.0
β
β
β
β
β
β
β
srehtO
.7
0.102
0.1
0.002
8.851
5.4
3.451
3.451
β
3.451
8.751
8.2
0.551
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
0.002
β
0.002
8.751
5.3
3.451
3.451
β
3.451
8.751
8.2
0.551
)b
+ a( sesopruP
tnempoleveD
.1
0.002
β
0.002
5.351
5.3
0.051
0.051
β
0.051
8.641
8.2
0.441
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
0.002
β
0.002
0.051
β
0.051
0.051
β
0.051
0.441
β
0.441
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
β
β
β
5.3
5.3
β
β
β
β
8.2
8.2
β
)gnisuoH(
stnavreS tnemnrevoG
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO .7
β
β
β
3.4
β
3.4
3.4
β
3.4
0.11
β
0.11
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
β
β
β
3.4
β
3.4
3.4
β
3.4
0.11
β
0.11
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
β
β
β
β
β
β
β
β
β
β
β
β
stcejorP
rewoP .6Appendix IV
327
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
ARUPIRT
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
β
β
β
β
β
β
β
β
β
β
β
β
srehtO.01
0.1
0.1
β
0.1
0.1
β
β
β
β
β
β
β
)b + a(
sesopruP tnempoleveD-noN
.2
0.1
0.1
β
0.1
0.1
β
β
β
β
β
β
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
0.101,7
0.101,7
β
0.843,5
0.843,5
β
0.577,9
0.577,9
β
6.958,4
6.958,4
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
0.010,7
0.010,7
β
0.062,5
0.062,5
β
0.055,9
0.055,9
β
6.477,4
6.477,4
β
sdnuF tnedivorP
etatS
.1
0.19
0.19
β
0.88
0.88
β
0.522
0.522
β
0.58
0.58
β
srehtO
.2
0.002
0.002
β
0.902
0.902
β
8.822
8.822
β
8.135
8.135
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
β
β
β
β
β
β
β
β
β
0.005
0.005
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
0.002
0.002
β
0.902
0.902
β
8.822
8.822
β
8.13
8.13
β
srehtO
.4
7.176,2
7.176,2
β
1.954,2
1.954,2
β
0.842,7
0.842,7
β
5.610,2
5.610,2
β
)4 ot 1( secnavdA dna
stisopeD
.XI
0.004,2
0.004,2
β
0.002,2
0.002,2
β
0.001,2
0.001,2
β
4.387,1
4.387,1
β
stisopeD
liviC
.1
β
β
β
β
β
β
0.000,5
0.000,5
β
β
β
β
sdnuF lacoL fo stisopeD
.2
5.072
5.072
β
0.852
0.852
β
0.741
0.741
β
2.232
2.232
β
secnavdA
liviC
.3
2.1
2.1
β
1.1
1.1
β
0.1
0.1
β
0.1
0.1
β
srehtO
.4
5.414,644
5.414,644
β
3.426,813
3.426,813
β
8.124,415
8.124,415
β
2.269,794
2.269,794
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
5.359
5.359
β
0.058
0.058
β
0.096,1
0.096,1
β
0.699
0.699
β
esnepsuS
.1
5.571,544
5.571,544
β
1.405,713
1.405,713
β
0.083,215
0.083,215
β
7.756,694
7.756,694
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
5.582
5.582
β
2.072
2.072
β
8.153
8.153
β
5.803
5.803
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
0.051,31
0.051,31
β
5.744,21
5.744,21
β
0.098,01
0.098,01
β
1.652,31
1.652,31
β
secnattimeR.IIX
9.199,33
8.306,32
4.377,62
2.210,71
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
2.807,04-
9.692,82-
7.361,03-
1.582,6-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
3.617,6-
1.396,4-
3.093,3-
0.727,01
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
3.617,6-
1.396,4-
3.093,3-
0.727,01
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
8.198,1-
4.801,2
6.945,3-
8.428-
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
β
4.801,2-
0.369,1
6.382,1-
ecnalaB gninepO
)a
8.198,1-
β
6.685,1-
4.801,2-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
5.428,4-
5.108,6-
3.951
8.155,11
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
328
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
DNAHKARATTU
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
3.694,532
1.357,391
2.347,14
0.521,232
7.030,271
4.490,06
1.842,422
5.052,671
6.799,74
7.145,035
7.002,894
0.143,23
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
1.345,16
9.997,91
2.347,14
2.330,17
9.839,01
4.490,06
5.716,75
9.916,9
6.799,74
2.860,35
2.727,02
0.143,23
$)stnuoccA
cilbuP
gnidulcxE(
5.840,04
0.51
5.330,04
1.204,85
0.562
1.731,85
7.319,54
0.51
7.898,54
2.021,73
5.737,5
7.283,13
)2 + 1( yaltuO
latipaC
latoT
.I
9.928,83
β
9.928,83
3.579,55
0.052
3.527,55
4.441,44
β
4.441,44
2.147,53
7.263,5
6.873,03
)b + a( tnempoleveD
.1
0.835,01
β
0.835,01
1.567,51
β
1.567,51
1.450,71
β
1.450,71
5.704,8
5.1
0.604,8
)9 ot 1( secivreS
laicoS
)a(
7.219,4
β
7.219,4
0.751,6
β
0.751,6
1.599,3
β
1.599,3
4.070,3
β
4.070,3
erutluC
dna trA ,stropS ,noitacudE
.1
5.773
β
5.773
2.527,2
β
2.527,2
0.573,2
β
0.573,2
3.534,1
β
3.534,1
htlaeH cilbuP dna lacideM
.2
0.6
β
0.6
0.5
β
0.5
0.5
β
0.5
0.54
β
0.54
erafleW ylimaF
.3
0.593
β
0.593
0.078
β
0.078
0.096
β
0.096
7.669
β
7.669
noitatinaS dna ylppuS retaW
.4
0.111
β
0.111
0.148
β
0.148
0.190,1
β
0.190,1
5.963
β
5.963
gnisuoH
.5
7.538,3
β
7.538,3
0.380,3
β
0.380,3
0.706,6
β
0.706,6
9.094,1
β
9.094,1
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
2.913
β
2.913
0.124
β
0.124
3.985
β
3.985
3.487
5.1
8.287
sessalC
drawkcaB rehtO dna sebirT
9.225
β
9.225
8.574,1
β
8.574,1
8.536,1
β
8.536,1
5.141
β
5.141
erafleW dna ytiruceS laicoS
.8
0.85
β
0.85
1.781
β
1.781
0.66
β
0.66
1.401
β
1.401
* srehtO
.9
9.192,82
β
9.192,82
2.012,04
0.052
2.069,93
3.090,72
β
3.090,72
7.333,72
2.163,5
6.279,12
)01 ot 1( secivreS cimonocE)b(
4.006,1
β
4.006,1
8.687
β
8.687
0.515
β
0.515
8.089,5
7.813,5
1.266
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
3.331
β
3.331
3.44
β
3.44
3.44
β
3.44
2.801
7.51-
9.321
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
0.12
β
0.12
5.13
β
5.13
4.03
β
4.03
7.68
β
7.68
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
4.3
β
4.3
4.3
β
4.3
4.3
β
4.3
5.2
β
5.2
seirehsiF
)v
7.272,1
β
7.272,1
0.106
β
0.106
0.633
β
0.633
3.394
β
3.394
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
0.031
β
0.031
6.66
β
6.66
9.06
β
9.06
3.533,5
6.433,5
7.0
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
0.04
β
0.04
0.04
β
0.04
0.04
β
0.04
3.54-
2.0-
1.54-
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
7.205,7
β
7.205,7
4.440,9
β
4.440,9
4.487,3
β
4.487,3
0.062,3
6.71
3.242,3
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
1.837,6
β
1.837,6
8.174,01
β
8.174,01
1.289,9
β
1.289,9
9.006,4
8.42
1.675,4
lortnoC doolF
8.317
β
8.317
5.168,2
β
5.168,2
5.110,4
β
5.110,4
5.655,2
β
5.655,2
ygrenE
.5
0.03
β
0.03
9.183
β
9.183
9.541
β
9.541
6.39
β
6.39
)vi ot i( slareniM dna yrtsudnI
.6
β
β
β
0.2
β
0.2
0.5
β
0.5
1.352-
β
1.352-
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
0.03
β
0.03
9.973
β
9.973
9.041
β
9.041
7.643
β
7.643
# srehtO
)vi
9.612,01
β
9.612,01
3.453,51
0.052
3.401,51
8.600,8
β
8.600,8
8.715,01
β
8.715,01
)ii + i( tropsnarT
.7
0.326,9
β
0.326,9
0.675,41
β
0.675,41
0.668,7
β
0.668,7
5.833,01
β
5.833,01
segdirB dna sdaoR
)i
9.395
β
9.395
3.877
0.052
3.825
8.041
β
8.041
3.971
β
3.971
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
329
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
DNAHKARATTU
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
0.094,1
β
0.094,1
5.903,1
β
5.903,1
5.446
β
5.446
1.423
β
1.423
)ii +
i( secivreS
cimonocE
lareneG.01
0.094,1
β
0.094,1
5.903,1
β
5.903,1
5.446
β
5.446
1.423
β
1.423
msiruoT
)i
β
β
β
β
β
β
β
β
β
β
β
β
@@ srehtO
)ii
6.812,1
0.51
6.302,1
8.624,2
0.51
8.114,2
3.967,1
0.51
3.457,1
0.973,1
9.473
2.400,1
)secivreS
lareneG( tnempoleveD-noN
.2
0.423,72
0.423,72
β
0.489,61
0.489,61
β
0.471,71
0.471,71
β
2.803,41
2.803,41
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
0.775,21
0.775,21
β
0.777,3
0.777,3
β
0.777,3
0.777,3
β
9.836,7
9.836,7
β
snaoL tekraM
.1
β
β
β
β
β
β
β
β
β
β
β
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
0.005,3
0.005,3
β
0.003,2
0.003,2
β
0.054,2
0.054,2
β
1.889,1
1.889,1
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.041
0.041
β
0.001
0.001
β
0.041
0.041
β
β
β
β
noitaroproC
0.000,8
0.000,8
β
0.000,8
0.000,8
β
0.000,8
0.000,8
β
1.356,1
1.356,1
β
IBR morf AMW
.6
0.001,3
0.001,3
β
0.008,2
0.008,2
β
0.008,2
0.008,2
β
1.654,2
1.654,2
β
FSSN
ot deussi seitiruceS
laicepS
.7
0.7
0.7
β
0.7
0.7
β
0.7
0.7
β
0.275
0.275
β
srehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
9.344
9.344
β
9.343
9.343
β
9.304
9.304
β
0.315
0.315
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
0.043
0.043
β
0.003
0.003
β
0.003
0.003
β
5.462
5.462
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
1.0
1.0
β
1.0
1.0
β
1.0
1.0
β
4.0
4.0
β
semehcS
nalP lartneC
.2
8.33
8.33
β
8.32
8.32
β
8.33
8.33
β
3.142
3.142
β
semehcS derosnopS
yllartneC
.3
0.02
0.02
β
0.01
0.01
β
0.02
0.02
β
8.6
8.6
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
0.02
0.02
β
0.01
0.01
β
0.02
0.02
β
8.6
8.6
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
0.05
0.05
β
0.01
0.01
β
0.05
0.05
β
β
β
β
srehtO
.7
7.627,1
0.71
7.907,1
2.303,3
0.643,1
3.759,1
9.521,2
0.72
9.890,2
9.977,2
6.128,1
3.859
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
7.427,1
0.51
7.907,1
2.692,3
0.933,1
3.759,1
9.811,2
0.02
9.890,2
0.577,2
7.618,1
3.859
)b
+ a( sesopruP
tnempoleveD
.1
0.51
0.51
β
0.02
0.02
β
0.02
0.02
β
7.21
7.21
β
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
0.51
0.51
β
0.02
0.02
β
0.02
0.02
β
7.21
7.21
β
)gnisuoH(
stnavreS tnemnrevoG
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO .7
7.907,1
β
7.907,1
2.672,3
0.913,1
3.759,1
9.890,2
β
9.890,2
3.267,2
0.408,1
3.859
)01
ot 1( secivreS
cimonocE
)b
β
β
β
0.943,1
0.913,1
0.03
β
β
β
0.401,2
0.408,1
0.003
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
0.03
β
0.03
1.03
β
1.03
1.03
β
1.03
0.33
β
0.33
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
7.966,1
β
7.966,1
2.746,1
β
2.746,1
8.818,1
β
8.818,1
2.525
β
2.525
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
330
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
DNAHKARATTU
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
0.01
β
0.01
0.052
β
0.052
0.052
β
0.052
0.001
β
0.001
srehtO.01
0.2
0.2
β
0.7
0.7
β
0.7
0.7
β
9.4
9.4
β
)b + a(
sesopruP tnempoleveD-noN
.2
0.1
0.1
β
0.1
0.1
β
0.1
0.1
β
β
β
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
0.1
0.1
β
0.6
0.6
β
0.6
0.6
β
9.4
9.4
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
0.057,1
0.057,1
β
0.008,1
0.008,1
β
0.008,1
0.008,1
β
8.449,1
8.449,1
β
dnuF ycnegnitnoC
.IV
1.787,7
1.787,7
β
4.038,4
4.038,4
β
3.614,7
3.614,7
β
3.709,9
3.709,9
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
8.726,7
8.726,7
β
1.995,4
1.995,4
β
6.462,7
6.462,7
β
6.085,9
6.085,9
β
sdnuF tnedivorP
etatS
.1
3.951
3.951
β
3.132
3.132
β
7.151
7.151
β
6.623
6.623
β
srehtO
.2
8.798,1
8.798,1
β
2.477,1
2.477,1
β
0.452,2
0.452,2
β
4.227,4
4.227,4
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
3.916,1
3.916,1
β
2.245,1
2.245,1
β
8.889,1
8.889,1
β
β
β
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
5.872
5.872
β
0.232
0.232
β
2.562
2.562
β
4.227,4
4.227,4
β
srehtO
.4
9.616,72
9.616,72
β
5.940,62
5.940,62
β
8.103,62
8.103,62
β
0.153,72
0.153,72
β
)4 ot 1( secnavdA dna
stisopeD
.XI
7.782,22
7.782,22
β
8.324,02
8.324,02
β
4.622,12
4.622,12
β
2.389,61
2.389,61
β
stisopeD
liviC
.1
7.850,4
7.850,4
β
7.518,3
7.518,3
β
4.568,3
4.568,3
β
8.751,9
8.751,9
β
sdnuF lacoL fo stisopeD
.2
5.072,1
5.072,1
β
0.012,1
0.012,1
β
0.012,1
0.012,1
β
3.002,1
3.002,1
β
secnavdA
liviC
.3
β
β
β
0.006
0.006
β
β
β
β
7.9
7.9
β
srehtO
.4
0.304,29
0.304,29
β
6.066,88
6.066,88
β
9.200,88
9.200,88
β
0.009,283
0.009,283
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
8.2
8.2
β
6.066
6.066
β
6.2
6.2
β
2.219,2-
2.219,2-
β
esnepsuS
.1
β
β
β
β
β
β
β
β
β
6.357,712
6.357,712
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
2.004,29
2.004,29
β
0.000,88
0.000,88
β
2.000,88
2.000,88
β
6.850,861
6.850,861
β
srehtO
.4
β
β
β
0.005,1
0.005,1
β
β
β
β
0.000,4
0.000,4
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
5.894,43
5.894,43
β
1.774,82
1.774,82
β
7.558,23
7.558,23
β
9.499,44
9.499,44
β
secnattimeR.IIX
4.383
8.065,12
3.428,6
1.140,11
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
2.912,2-
2.620,52-
5.011,8-
4.261,6-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
7.538,1-
4.564,3-
2.682,1-
7.878,4
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
7.538,1-
4.564,3-
2.682,1-
7.878,4
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
7.538,1-
4.564,3-
2.682,1-
2.536,5
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
7.718,2
1.385,5
9.053
1.25-
ecnalaB gninepO
)a
0.289
7.711,2
3.539-
1.385,5
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
β
β
β
5.657-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
331
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
HSEDARP
RATTU
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
9.294,189,4
3.001,314,4
6.293,865
5.286,175,4
7.412,040,4
8.764,135
5.447,070,4
9.755,755,3
6.681,315
4.812,346,9
3.409,823,9
1.413,413
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
4.113,967
8.819,002
6.293,865
9.521,707
2.856,571
8.764,135
1.797,276
5.016,951
6.681,315
8.137,524
7.714,111
1.413,413
$)stnuoccA
cilbuP
gnidulcxE(
6.245,136
8.136,67
8.019,455
5.549,095
7.889,17
8.659,815
6.168,955
8.518,65
8.540,305
5.626,823
3.545,22
2.180,603
)2 + 1( yaltuO
latipaC
latoT
.I
0.234,675
7.994,65
3.239,915
0.505,845
6.616,95
4.888,884
7.280,715
6.597,44
2.782,274
0.399,392
5.321,51
5.968,872
)b + a( tnempoleveD
.1
8.187,251
3.008
5.189,151
7.194,251
1.496
6.797,151
7.790,241
4.776
3.024,141
0.595,76
3.116
7.389,66
)9 ot 1( secivreS
laicoS
)a(
3.768,82
9.02
4.648,82
4.889,71
3.8
1.089,71
3.901,02
4.8
9.001,02
5.093,7
2.7
3.383,7
erutluC
dna trA ,stropS ,noitacudE
.1
3.205,12
6.771
7.423,12
6.676,91
1.451
5.225,91
0.694,91
1.451
9.143,91
7.181,31
0.651
7.520,31
htlaeH cilbuP dna lacideM
.2
β
β
β
0.000,31
β
0.000,31
0.000,31
β
0.000,31
β
β
β
erafleW ylimaF
.3
0.003,72
β
0.003,72
2.034,22
β
2.034,22
0.005,12
β
0.005,12
8.039,41
β
8.039,41
noitatinaS dna ylppuS retaW
.4
0.215,84
6.135
4.089,74
3.107,45
5.664
8.432,45
1.492,14
5.444
6.948,04
3.277,21
2.234
1.043,21
gnisuoH
.5
0.577,8
β
0.577,8
8.435,8
β
8.435,8
5.771,9
β
5.771,9
3.430,7
β
3.430,7
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
7.985,1
β
7.985,1
1.933,1
β
1.933,1
0.674,1
β
0.674,1
3.593
β
3.593
sessalC
drawkcaB rehtO dna sebirT
3.182,31
7.2
6.872,31
9.875,11
5.2
4.675,11
9.368,21
5.2
4.168,21
2.905,9
2.2
0.705,9
erafleW dna ytiruceS laicoS
.8
2.459,2
6.76
7.688,2
4.242,3
7.26
8.971,3
1.181,3
0.86
1.311,3
9.083,2
7.31
2.763,2
* srehtO
.9
2.056,324
4.996,55
8.059,763
3.310,693
6.229,85
8.090,733
0.589,473
1.811,44
9.668,033
0.893,622
3.215,41
8.588,112
)01 ot 1( secivreS cimonocE)b(
2.268,31
9.204
3.954,31
2.722,9
5.494
7.237,8
1.657,7
0.225
1.432,7
6.681,5
3.223
3.468,4
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
1.358,3
1.32
9.928,3
5.338,3
8.5
7.728,3
4.087,2
3.33
1.747,2
9.729
7.89
2.928
yrdnabsuH porC
)i
3.131
β
3.131
4.501
β
4.501
4.701
β
4.701
β
β
β
noitavresnoC retaW dna lioS
)ii
1.373
β
1.373
8.788
β
8.788
9.427
β
9.427
9.226
β
9.226
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
β
β
β
β
β
β
β
β
β
β
β
β
seirehsiF
)v
0.915,3
0.3
0.615,3
8.987,2
β
8.987,2
6.155,2
β
6.155,2
8.763,2
β
8.763,2
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
8.673
8.673
β
7.884
7.884
β
7.884
7.884
β
5.322
5.322
β
gnisuoheraW
dna egarotS dooF)iiiv
0.969
β
0.969
9.458
β
9.458
0.638
β
0.638
9.539
β
9.539
noitacudE
dna hcraeseR larutlucirgA
)xi
0.046,4
β
0.046,4
1.762
β
1.762
1.762
β
1.762
5.801
β
5.801
noitarepo-oC
)x
β
β
β
β
β
β
β
β
β
β
β
β
@ srehtO
)ix
1.053,84
β
1.053,84
6.802,44
β
6.802,44
0.909,04
β
0.909,04
7.000,61
8.9-
5.010,61
tnempoleveD laruR
.2
0.007,11
β
0.007,11
1.009,01
β
1.009,01
4.959,11
β
4.959,11
7.097,7
4.52-
1.618,7
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
1.563,35
β
1.563,35
9.851,15
β
9.851,15
2.138,25
β
2.138,25
8.255,92
β
8.255,92
lortnoC doolF
1.517,141
3.102,45
8.315,78
6.419,821
2.045,75
4.473,17
3.280,601
3.107,24
1.183,36
7.105,66
5.222,41
2.972,25
ygrenE
.5
2.278
0.47
2.897
7.876
4.96
3.906
0.157
4.47
6.676
8.63
1.2
7.43
)vi ot i( slareniM dna yrtsudnI
.6
3.157
1.3
2.847
5.283
8.3
7.873
3.424
8.3
5.024
5.43
2.0-
7.43
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
9.07
9.07
β
6.56
6.56
β
6.07
6.07
β
4.2
4.2
β
seirtsudnI lacigrullateM
0.05
β
0.05
7.032
β
7.032
1.652
β
1.652
β
β
β
# srehtO
)vi
9.469,151
2.120,1
7.349,051
6.073,941
5.818
1.255,841
3.582,351
5.028
8.464,251
4.715,001
5.0
8.615,001
)ii + i( tropsnarT
.7
8.484,741
1.1
7.384,741
1.881,541
5.0
6.781,541
3.599,941
5.0
8.499,941
1.385,89
5.0
6.285,89
segdirB dna sdaoR
)i
1.084,4
1.020,1
0.064,3
5.281,4
0.818
5.463,3
0.092,3
0.028
0.074,2
3.439,1
β
3.439,1
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
332
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
HSEDARP
RATTU
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.04
β
0.04
0.001
β
0.001
0.001
β
0.001
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
5.087,1
β
5.087,1
7.454,1
β
7.454,1
7.013,1
β
7.013,1
3.118
β
3.118
)ii +
i( secivreS
cimonocE
lareneG.01
5.087,1
β
5.087,1
7.454,1
β
7.454,1
7.013,1
β
7.013,1
3.118
β
3.118
msiruoT
)i
β
β
β
β
β
β
β
β
β
β
β
β
@@ srehtO
)ii
7.011,55
1.231,02
5.879,43
4.044,24
1.273,21
4.860,03
9.877,24
2.020,21
6.857,03
5.336,43
7.124,7
7.112,72
)secivreS
lareneG( tnempoleveD-noN
.2
6.744,691
6.744,691
β
2.825,09
2.825,09
β
2.825,081
2.825,081
β
2.410,76
2.410,76
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
4.799,64
4.799,64
β
5.388,93
5.388,93
β
5.388,93
5.388,93
β
5.064,92
5.064,92
β
snaoL tekraM
.1
7.22
7.22
β
8.33
8.33
β
8.33
8.33
β
8.14
8.14
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
2.587-
2.587-
β
sknaB
rehto dna
IBS morf snaoL
.3
9.959,21
9.959,21
β
7.432,11
7.432,11
β
7.432,11
7.432,11
β
6.084,9
6.084,9
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
9.201
9.201
β
9.48
9.48
β
9.48
9.48
β
0.97
0.97
β
noitaroproC
0.000,001
0.000,001
β
0.000,01
0.000,01
β
0.000,001
0.000,001
β
7.08
7.08
β
IBR morf AMW
.6
3.701,03
3.701,03
β
8.410,32
8.410,32
β
8.410,32
8.410,32
β
4.804,22
4.804,22
β
FSSN
ot deussi seitiruceS
laicepS
.7
4.752,6
4.752,6
β
5.672,6
5.672,6
β
5.672,6
5.672,6
β
4.842,6
4.842,6
β
srehtO
.8
1.1
1.1
β
1.1
1.1
β
1.1
1.1
β
3.01
3.01
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
3.193,31
3.193,31
β
6.013,31
6.013,31
β
6.013,31
6.013,31
β
2.356,41
2.356,41
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
0.223,31
0.223,31
β
3.932,31
3.932,31
β
3.932,31
3.932,31
β
7.606,31
7.606,31
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
0.8
0.8
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
3.569
3.569
β
semehcS derosnopS
yllartneC
.3
3.96
3.96
β
3.17
3.17
β
3.17
3.17
β
0.37
0.37
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
3.96
3.96
β
3.17
3.17
β
3.17
3.17
β
0.37
0.37
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
2.0
2.0
β
srehtO
.7
9.929,72
2.844,41
8.184,31
7.143,22
7.038,9
0.115,21
7.690,91
9.559,8
8.041,01
4.337,41
5.005,6
8.232,8
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
7.028,72
0.933,41
8.184,31
5.232,22
5.127,9
0.115,21
1.889,81
3.748,8
8.041,01
5.346,41
7.014,6
8.232,8
)b
+ a( sesopruP
tnempoleveD
.1
8.609,9
0.606,2
8.003,7
1.560,31
1.716,3
0.844,9
5.359,31
7.215,4
8.044,9
7.802,8
2.322,1
5.589,6
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
0.005,5
β
0.005,5
0.000,8
β
0.000,8
0.000,9
β
0.000,9
5.969,6
β
5.969,6
noitatinaS
dna ylppuS
retaW .4
β
β
β
0.000,1
β
0.000,1
β
β
β
β
β
β
gnisuoH .5
0.601,1
0.601,1
β
0.601,1
0.601,1
β
6.601,1
6.601,1
β
3.189
3.189
β
)gnisuoH(
stnavreS tnemnrevoG
.6
8.003,3
0.005,1
8.008,1
1.959,2
1.115,2
0.844
9.648,3
1.604,3
8.044
8.752
9.142
9.51
srehtO .7
0.419,71
0.337,11
0.181,6
4.761,9
4.401,6
0.360,3
6.430,5
6.433,4
0.007
8.434,6
5.781,5
4.742,1
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
9.167,5
9.167,5
β
0.942
0.942
β
9.29
9.29
β
3.301
3.301
β
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
β
β
β
β
β
β
β
β
β
β
β
β
stcejorP
rewoP .6Appendix IV
333
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
HSEDARP
RATTU
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.001
β
0.001
1.0
1.0
β
1.0
1.0
β
β
β
β
seirtsudnI
llamS dna egalliV
.7
0.171,3
β
0.171,3
9.501,2
9.2
0.301,2
9.207
9.2
0.007
4.743,1
0.001
4.742,1
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
1.188,8
1.179,5
0.019,2
4.218,6
4.258,5
0.069
8.832,4
8.832,4
β
1.489,4
1.489,4
β
srehtO.01
2.901
2.901
β
2.901
2.901
β
6.801
6.801
β
9.98
9.98
β
)b + a(
sesopruP tnempoleveD-noN
.2
2.901
2.901
β
2.901
2.901
β
6.801
6.801
β
9.98
9.98
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
0.000,2
0.000,2
β
5.379,3
5.379,3
β
8.957,2
8.957,2
β
6.568
6.568
β
dnuF ycnegnitnoC
.IV
0.115,901
0.115,901
β
5.476,601
5.476,601
β
5.476,69
5.476,69
β
2.179,27
2.179,27
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
0.006,601
0.006,601
β
5.367,301
5.367,301
β
5.367,39
5.367,39
β
6.787,27
6.787,27
β
sdnuF tnedivorP
etatS
.1
0.119,2
0.119,2
β
0.119,2
0.119,2
β
0.119,2
0.119,2
β
6.381
6.381
β
srehtO
.2
1.827,79
1.827,79
β
3.948,421
3.948,421
β
2.651,98
2.651,98
β
5.112,05
5.112,05
β
)4 ot 1( sdnuF
evreseR.IIIV
0.002
0.002
β
9.113,1
9.113,1
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
4.099,64
4.099,64
β
1.878,93
1.878,93
β
1.878,93
1.878,93
β
8.954,92
8.954,92
β
sdnuF
gnikniS
.2
β
β
β
2.39
2.39
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
7.735,05
7.735,05
β
2.665,38
2.665,38
β
1.872,94
1.872,94
β
7.157,02
7.157,02
β
srehtO
.4
3.456,981
3.456,981
β
2.370,471
2.370,471
β
2.698,871
2.698,871
β
0.304,721
0.304,721
β
)4 ot 1( secnavdA dna
stisopeD
.XI
3.447,821
3.447,821
β
2.320,621
2.320,621
β
2.643,621
2.643,621
β
3.943,98
3.943,98
β
stisopeD
liviC
.1
0.075,35
0.075,35
β
0.075,24
0.075,24
β
0.070,74
0.070,74
β
2.095,62
2.095,62
β
sdnuF lacoL fo stisopeD
.2
β
β
β
β
β
β
β
β
β
0.565,2
0.565,2
β
secnavdA
liviC
.3
0.043,7
0.043,7
β
0.084,5
0.084,5
β
0.084,5
0.084,5
β
5.898,8
5.898,8
β
srehtO
.4
0.886,666,3
0.886,666,3
β
0.683,893,3
0.683,893,3
β
6.068,388,2
6.068,388,2
β
8.165,037,8
8.165,037,8
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
5.595,7
5.595,7
β
0.521,9
0.521,9
β
2.421,9
2.421,9
β
1.680,042
1.680,042
β
esnepsuS
.1
9.781,019,2
9.781,019,2
β
7.226,546,2
7.226,546,2
β
0.000,041,2
0.000,041,2
β
6.877,682,2
6.877,682,2
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
5.589,596,4
5.589,596,4
β
IBR htiw stisopeD
.3
6.409,847
6.409,847
β
3.836,347
3.836,347
β
4.637,437
4.637,437
β
6.117,705,1
6.117,705,1
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
0.006,64
0.006,64
β
0.006,64
0.006,64
β
0.006,64
0.006,64
β
1.871,632
1.871,632
β
secnattimeR.IIX
6.042,143
3.270,423
8.839,982
7.866,001
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
1.975,492-
6.344,182-
2.855,543-
3.971,212-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
4.166,64
7.826,24
3.916,55-
6.015,111-
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
4.166,64
7.826,24
3.916,55-
6.015,111-
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
3.909
5.830,1
7.083,4
9.761,11-
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
3.539,64
8.698,54
8.698,54
2.593-
ecnalaB gninepO
)a
6.448,74
3.539,64
5.772,05
1.365,11-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
1.257,54
2.095,14
0.000,06-
7.243,001-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
334
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
LAGNEB
TSEW
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
8.776,966,3
0.004,705,3
9.772,261
7.120,365,3
9.977,624,3
8.142,631
7.274,698,2
8.556,147,2
9.618,451
4.005,692,3
5.388,222,3
9.616,37
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
8.737,252
0.064,09
9.772,261
8.491,822
0.359,19
8.142,631
1.353,042
2.635,58
9.618,451
2.161,761
3.445,39
9.616,37
$)stnuoccA
cilbuP
gnidulcxE(
1.672,651
4.222
7.350,651
1.057,331
0.943
0.104,331
7.602,151
β
7.602,151
4.962,96
4.154
0.818,86
)2 + 1( yaltuO
latipaC
latoT
.I
2.887,841
4.412
9.375,841
0.187,621
0.791
9.385,621
6.496,541
β
6.496,541
0.591,66
5.844
5.647,56
)b + a( tnempoleveD
.1
9.708,46
0.212
9.595,46
3.275,84
2.491
1.873,84
0.784,17
β
0.784,17
7.200,72
5.844
2.455,62
)9 ot 1( secivreS
laicoS
)a(
1.743,8
β
1.743,8
0.350,6
β
0.350,6
5.385,32
β
5.385,32
9.661,6
β
9.661,6
erutluC
dna trA ,stropS ,noitacudE
.1
4.672,21
8.802
6.760,21
5.890,8
6.191
9.609,7
3.815,31
β
3.815,31
1.527,5
0.054
1.572,5
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
9.313,2
β
9.313,2
0.039,1
β
0.039,1
0.004,2
β
0.004,2
3.044,4
β
3.044,4
noitatinaS dna ylppuS retaW
.4
2.313,8
2.3
0.013,8
4.535,7
7.2
7.235,7
9.516,7
β
9.516,7
4.591,6
5.1-
9.691,6
gnisuoH
.5
0.183,61
β
0.183,61
6.984,41
β
6.984,41
1.204,31
β
1.204,31
5.047
β
5.047
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
5.467
β
5.467
9.776
β
9.776
5.278
β
5.278
7.228
β
7.228
sessalC
drawkcaB rehtO dna sebirT
2.973,41
β
2.973,41
5.906,7
β
5.906,7
7.191,8
β
7.191,8
0.410,2
β
0.410,2
erafleW dna ytiruceS laicoS
.8
6.230,2
β
6.230,2
4.871,2
β
4.871,2
1.309,1
β
1.309,1
7.798
β
7.798
* srehtO
.9
4.089,38
4.2
0.879,38
7.802,87
8.2
9.502,87
6.702,47
β
6.702,47
3.291,93
β
3.291,93
)01 ot 1( secivreS cimonocE)b(
8.377,11
β
8.377,11
9.185,11
β
9.185,11
7.946,21
β
7.946,21
0.419,4
β
0.419,4
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
0.000,7
β
0.000,7
4.466,8
β
4.466,8
0.274,8
β
0.274,8
4.085,2
β
4.085,2
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
7.017
β
7.017
0.623
β
0.623
5.626
β
5.626
7.632
β
7.632
yrdnabsuH laminA
)iii
5.471
β
5.471
0.101
β
0.101
0.141
β
0.141
5.2
β
5.2
tnempoleveD yriaD
)vi
4.045
β
4.045
5.083
β
5.083
5.025
β
5.025
6.571
β
6.571
seirehsiF
)v
0.052
β
0.052
0.751
β
0.751
0.751
β
0.751
5.69
β
5.69
efiL dliW dna yrtseroF
)iv
β
β
β
9.22
β
9.22
9.22
β
9.22
0.21
β
0.21
snoitatnalP)iiv
3.426,1
β
3.426,1
3.294,1
β
3.294,1
0.272,1
β
0.272,1
8.084,1
β
8.084,1
gnisuoheraW
dna egarotS dooF)iiiv
0.05
β
0.05
0.82
β
0.82
0.82
β
0.82
4.8
β
4.8
noitacudE
dna hcraeseR larutlucirgA
)xi
9.361
β
9.361
8.941
β
8.941
8.941
β
8.941
2.91
β
2.91
noitarepo-oC
)x
0.062,1
β
0.062,1
0.062
β
0.062
0.062,1
β
0.062,1
8.103
β
8.103
@ srehtO
)ix
0.001
β
0.001
0.005
β
0.005
0.5
β
0.5
0.5
β
0.5
tnempoleveD laruR
.2
7.566,9
β
7.566,9
1.109,6
β
1.109,6
6.930,7
β
6.930,7
5.943,3
β
5.943,3
semmargorP aerA laicepS
.3
β
β
β
2.23
β
2.23
2.23
β
2.23
0.7
β
0.7
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
3.416,42
β
3.416,42
0.858,71
1.0
9.758,71
0.558,12
β
0.558,12
8.812,7
β
8.812,7
lortnoC doolF
5.668,9
β
5.668,9
3.782,51
β
3.782,51
3.782,01
β
3.782,01
0.029,6
β
0.029,6
ygrenE
.5
0.724,3
β
0.724,3
4.589,2
β
4.589,2
6.535,2
β
6.535,2
7.241,1
β
7.241,1
)vi ot i( slareniM dna yrtsudnI
.6
6.950,2
β
6.950,2
7.426,1
β
7.426,1
8.072,1
β
8.072,1
4.286
β
4.286
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
4.763,1
β
4.763,1
7.063,1
β
7.063,1
8.462,1
β
8.462,1
3.064
β
3.064
# srehtO
)vi
8.664,22
β
8.664,22
9.376,12
6.0
3.376,12
2.909,71
β
2.909,71
8.841,51
β
8.841,51
)ii + i( tropsnarT
.7
0.779,02
β
0.779,02
6.877,02
6.0
0.877,02
9.310,71
β
9.310,71
9.437,41
β
9.437,41
segdirB dna sdaoR
)i
8.984,1
β
8.984,1
3.598
β
3.598
3.598
β
3.598
9.314
β
9.314
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
335
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
LAGNEB
TSEW
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.44
β
0.44
0.43
β
0.43
0.43
β
0.43
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
4.220,2
4.2
0.020,2
2.783,1
2.2
0.583,1
2.298,1
β
2.298,1
5.394
β
5.394
)ii +
i( secivreS
cimonocE
lareneG.01
0.069,1
β
0.069,1
0.523,1
β
0.523,1
0.088,1
β
0.088,1
5.094
β
5.094
msiruoT
)i
4.26
4.2
0.06
2.26
2.2
0.06
2.21
β
2.21
0.3
β
0.3
@@ srehtO
)ii
8.784,7
0.8
8.974,7
1.969,6
0.251
1.718,6
1.215,5
β
1.215,5
5.470,3
9.2
5.170,3
)secivreS
lareneG( tnempoleveD-noN
.2
3.857,183
3.857,183
β
4.305,283
4.305,283
β
1.887,743
1.887,743
β
3.237,482
3.237,482
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
8.294,03
8.294,03
β
4.229,23
4.229,23
β
4.229,23
4.229,23
β
3.110,93
3.110,93
β
snaoL tekraM
.1
3.62
3.62
β
9.42
9.42
β
3.62
3.62
β
5.03
5.03
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
0.5
0.5
β
0.5
0.5
β
3.426
3.426
β
2.4
2.4
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.922
0.922
β
5.922
5.922
β
0.982
0.982
β
4.091
4.091
β
noitaroproC
0.000,003
0.000,003
β
0.000,003
0.000,003
β
0.000,072
0.000,072
β
0.671,002
0.671,002
β
IBR morf AMW
.6
9.288,04
9.288,04
β
1.783,23
1.783,23
β
1.783,23
1.783,23
β
2.065,13
2.065,13
β
FSSN
ot deussi seitiruceS
laicepS
.7
3.221,01
3.221,01
β
6.439,61
6.439,61
β
1.935,11
1.935,11
β
8.957,31
8.957,31
β
srehtO
.8
8.669,1
8.669,1
β
8.669,1
8.669,1
β
8.669,1
8.669,1
β
8.369,1
8.369,1
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
7.381,7
7.381,7
β
2.507,6
2.507,6
β
4.485,6
4.485,6
β
4.207,6
4.207,6
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
7.112,6
7.112,6
β
6.218,5
6.218,5
β
8.896,5
8.896,5
β
5.218,5
5.218,5
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
0.279
0.279
β
6.298
6.298
β
6.588
6.588
β
8.988
8.988
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
0.279
0.279
β
6.298
6.298
β
6.588
6.588
β
8.988
8.988
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
7.915,7
5.592,1
2.422,6
0.632,5
3.593,2
7.048,2
8.377,4
6.361,1
2.016,3
1.336,6
2.438,1
9.897,4
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
8.844,7
6.422,1
2.422,6
0.171,5
3.033,2
7.048,2
8.807,4
6.890,1
2.016,3
1.916,6
2.028,1
9.897,4
)b
+ a( sesopruP
tnempoleveD
.1
9.637,1
4.16
5.576,1
1.723
3.85
8.862
0.331,1
3.03
7.201,1
5.086
1.42
4.656
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
4.92
4.92
β
0.82
0.82
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
2.1
2.1
β
1.1
1.1
β
1.1
1.1
β
2.0
2.0
β
)gnisuoH(
stnavreS tnemnrevoG
.6
2.607,1
7.03
5.576,1
0.892
2.92
8.862
9.131,1
2.92
7.201,1
4.086
0.42
4.656
srehtO .7
9.117,5
2.361,1
7.845,4
9.348,4
9.172,2
9.175,2
8.575,3
3.860,1
5.705,2
5.839,5
0.697,1
5.241,4
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
0.6
β
0.6
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
2.13
β
2.13
7.44
β
7.44
7.82
β
7.82
7.171
β
7.171
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
0.059,1
β
0.059,1
0.886
β
0.886
0.886
β
0.886
2.705,2
1.0-
2.705,2
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
336
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
LAGNEB
TSEW
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.99
5.49
5.4
0.29
0.09
0.2
1.99
6.19
5.7
5.02
5.2
0.81
seirtsudnI
llamS dna egalliV
.7
0.02
β
0.02
8.071,1
8.071,1
β
9.832,1
9.948
0.983
0.000,1
0.000,1
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
7.116,3
7.860,1
0.345,2
3.848,2
1.110,1
2.738,1
0.515,1
8.621
2.883,1
2.932,2
6.397
6.544,1
srehtO.01
9.07
9.07
β
1.56
1.56
β
0.56
0.56
β
0.41
0.41
β
)b + a(
sesopruP tnempoleveD-noN
.2
9.07
9.07
β
1.56
1.56
β
0.56
0.56
β
0.41
0.41
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
9.41
9.41
β
β
β
β
3.1
3.1
β
dnuF ycnegnitnoC
.IV
0.081,62
0.081,62
β
0.058,32
0.058,32
β
8.460,13
8.460,13
β
1.079,22
1.079,22
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
0.000,62
0.000,62
β
0.076,32
0.076,32
β
8.488,03
8.488,03
β
8.445,22
8.445,22
β
sdnuF tnedivorP
etatS
.1
0.081
0.081
β
0.081
0.081
β
0.081
0.081
β
3.524
3.524
β
srehtO
.2
2.600,23
2.600,23
β
5.405,62
5.405,62
β
9.874,72
9.874,72
β
2.016,61
2.016,61
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
0.000,4
0.000,4
β
0.000,3
0.000,3
β
0.000,3
0.000,3
β
0.193,5
0.193,5
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
2.600,82
2.600,82
β
5.405,32
5.405,32
β
9.874,42
9.874,42
β
2.912,11
2.912,11
β
srehtO
.4
8.708,124
8.708,124
β
5.503,314
5.503,314
β
2.203,114
2.203,114
β
9.225,283
9.225,283
β
)4 ot 1( secnavdA dna
stisopeD
.XI
6.295,76
6.295,76
β
2.992,46
2.992,46
β
5.592,74
5.592,74
β
0.823,65
0.823,65
β
stisopeD
liviC
.1
1.388,59
1.388,59
β
8.803,99
8.803,99
β
0.002,68
0.002,68
β
6.725,88
6.725,88
β
sdnuF lacoL fo stisopeD
.2
3.650,1
3.650,1
β
9.753,1
9.753,1
β
6.852,1
6.852,1
β
3.043,1
3.043,1
β
secnavdA
liviC
.3
8.572,752
8.572,752
β
6.933,842
6.933,842
β
1.845,672
1.845,672
β
0.723,632
0.723,632
β
srehtO
.4
5.131,945,2
5.131,945,2
β
7.761,484,2
7.761,484,2
β
0.790,348,1
0.790,348,1
β
8.521,024,2
8.521,024,2
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
7.767,3
7.767,3
β
4.476,3
4.476,3
β
4.078,3
4.078,3
β
6.559,9-
6.559,9-
β
esnepsuS
.1
0.000,283
0.000,283
β
0.000,543
0.000,543
β
7.953,303
7.953,303
β
8.441,943
8.441,943
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
0.000,505,1
0.000,505,1
β
0.000,594,1
0.000,594,1
β
0.073,379
0.073,379
β
1.008,194,1
1.008,194,1
β
IBR htiw stisopeD
.3
9.363,856
9.363,856
β
3.394,046
3.394,046
β
9.694,265
9.694,265
β
5.631,985
5.631,985
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
4.418,78
4.418,78
β
3.489,68
3.489,68
β
7.671,37
7.671,37
β
0.339,68
0.339,68
β
secnattimeR.IIX
β
7.816,301-
β
9.451,981-
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
9.819,47
3.638,29
8.992,09
7.312,191
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
9.819,47
5.287,01-
8.992,09
8.850,2
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
9.819,47
4.287,01-
7.992,09
8.850,2
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
0.04-
6.791
0.02-
7.082,4-
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
0.03-
6.722-
0.07-
2.350,4
ecnalaB gninepO
)a
0.07-
0.03-
0.09-
5.722-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
9.859,47
0.089,01-
7.913,09
6.933,6
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
337
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
SETATS
LLA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
9.471,558,04
8.731,681,73
7.074,435,3
0.896,013,83
9.983,910,53
1.803,192,3
6.382,826,93
8.633,503,63
8.649,223,3
1.502,750,84
2.363,497,54
9.148,262,2
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
3.808,768,4
0.810,632,1
7.074,435,3
4.636,244,4
3.823,151,1
1.803,192,3
7.140,044,4
8.490,711,1
8.649,223,3
1.349,362,3
2.101,100,1
9.148,262,2
$)stnuoccA
cilbuP
gnidulcxE(
4.581,976,3
2.687,591
6.459,683,3
0.780,023,3
5.854,371
5.826,641,3
5.142,463,3
3.408,181
2.734,281,3
6.725,502,2
8.547,09
8.187,411,2
)2 + 1( yaltuO
latipaC
latoT
.I
9.436,893,3
9.973,751
6.071,261,3
0.546,290,3
1.384,731
9.161,559,2
0.625,901,3
0.637,641
0.097,269,2
4.553,870,2
6.832,07
9.611,800,2
)b + a( tnempoleveD
.1
2.094,288
2.938,32
5.286,338
8.737,838
7.959,81
2.877,918
4.444,509
7.384,33
7.069,178
7.201,105
6.793,41
1.507,684
)9 ot 1( secivreS
laicoS
)a(
5.210,841
6.777,5
4.343,731
0.947,221
0.929,3
0.028,811
1.805,451
8.918,6
3.886,741
2.003,37
1.612,4
1.480,96
erutluC
dna trA ,stropS ,noitacudE
.1
2.166,041
6.303,1
8.089,131
6.304,321
5.832,1
1.561,221
9.138,321
3.504,2
6.624,121
7.432,67
3.744,1
4.787,47
htlaeH cilbuP dna lacideM
.2
8.373,1
β
8.373,1
2.151,51
β
2.151,51
8.551,51
β
8.551,51
1.615,2
β
1.615,2
erafleW ylimaF
.3
1.708,012
5.615,9
6.015,691
4.635,342
3.288,5
2.456,732
0.175,132
2.810,6
8.255,522
9.328,531
8.089,2
0.348,231
noitatinaS dna ylppuS retaW
.4
5.312,28
9.893,3
0.297,87
5.540,78
8.811,2
6.629,48
5.979,78
4.018,1
1.961,68
6.752,05
8.419,1
9.243,84
gnisuoH
.5
4.795,921
8.120,1
5.113,321
0.259,59
3.328,3
7.821,29
0.896,611
1.566,21
9.230,401
7.861,57
9.718,1
8.053,37
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
9.327,59
4.942,1
7.020,49
6.217,48
0.607
6.600,48
4.451,201
3.436,1
1.025,001
4.883,14
5.632
9.151,14
sessalC
drawkcaB rehtO dna sebirT
1.942,64
4.308
1.576,44
1.289,93
4.390,1
7.888,83
8.252,34
9.273,1
9.978,14
4.936,32
4.737
0.209,22
erafleW dna ytiruceS laicoS
.8
7.158,72
9.767
7.476,52
4.502,62
5.861
0.730,62
9.292,03
6.757
2.535,92
7.377,22
7.640,1
9.627,12
* srehtO
.9
7.441,615,2
7.045,331
1.884,823,2
2.709,352,2
5.325,811
7.383,531,2
6.180,402,2
3.252,311
3.928,090,2
7.252,775,1
0.148,55
7.114,125,1
)01 ot 1( secivreS cimonocE)b(
2.963,731
0.902,9
9.400,121
5.552,221
7.533,21
8.919,901
1.338,421
2.197,11
9.140,311
4.623,36
3.428,2
0.205,06
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
2.359,82
4.93
6.430,52
5.700,32
4.533
1.276,22
0.492,32
7.361
2.031,32
5.951,8
8.791
7.169,7
yrdnabsuH porC
)i
8.985,72
2.391
4.373,72
0.153,82
7.842
3.201,82
6.083,72
0.252
5.821,72
5.245,01
9.851
6.383,01
noitavresnoC retaW dna lioS
)ii
9.883,8
5.883
7.815,7
2.020,7
8.154
4.865,6
1.280,8
2.276
9.904,7
8.857,4
6.285
3.671,4
yrdnabsuH laminA
)iii
1.111,2
β
1.111,2
6.594
β
6.594
1.443
β
1.443
8.441
β
8.441
tnempoleveD yriaD
)vi
5.748,8
8.455
3.132,8
7.558,5
8.455
9.003,5
1.874,8
0.055
1.829,7
6.337,4
8.355
7.971,4
seirehsiF
)v
0.715,02
7.91
3.030,02
1.879,81
6.9
6.869,81
6.217,91
8.5
8.607,91
3.710,91
0.94
3.869,81
efiL dliW dna yrtseroF
)iv
β
β
β
9.22
β
9.22
9.22
β
9.22
0.21
β
0.21
snoitatnalP)iiv
3.788,91
4.832,7
0.956,01
9.687,32
4.539,9
5.158,31
0.145,62
4.791,01
6.343,61
3.350,8
8.279
5.080,7
gnisuoheraW
dna egarotS dooF)iiiv
1.752,2
β
1.770,2
7.851,1
β
7.851,1
0.931,1
β
0.931,1
1.303,1
β
1.303,1
noitacudE
dna hcraeseR larutlucirgA
)xi
2.632,11
5.267
8.004,01
5.553,11
5.267
0.395,01
4.358,6
0.05-
4.309,6
8.793,5
5.903
4.880,5
noitarepo-oC
)x
2.185,7
5.21
7.865,7
3.322,2
5.73
8.581,2
1.589,2
β
1.589,2
7.302,1
β
7.302,1
@ srehtO
)ix
0.424,103
8.885,1
8.057,682
0.343,522
9.974,4
1.368,022
7.560,072
6.535,5
1.035,462
4.080,001
4.871,1
0.209,89
tnempoleveD laruR
.2
3.660,65
2.02
1.645,55
9.684,46
5.71
4.964,46
9.010,36
5.71
4.399,26
9.585,04
2.62-
1.216,04
semmargorP aerA laicepS
.3
4.128,5
2.0
2.128,5
4.748,8
β
4.748,8
2.083,7
β
2.083,7
0.790,8
4.1
6.590,8
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
1.586,017
3.842,32
1.290,386
0.180,646
2.309,71
7.771,826
9.547,346
7.504,32
3.043,026
2.164,705
8.247,51
4.817,194
lortnoC doolF
8.171,063
3.882,45
4.620,203
3.660,853
7.575,75
6.094,003
3.059,513
2.227,24
2.822,372
9.633,822
3.017,51
6.626,212
ygrenE
.5
7.416,72
2.484
2.811,62
8.488,72
4.953
4.525,72
0.408,03
3.233
6.174,03
0.512,82
6.19
5.321,82
)vi ot i( slareniM dna yrtsudnI
.6
1.524,01
1.314
8.660,9
2.699,6
5.392
7.207,6
6.674,7
7.852
9.712,7
7.566,5
3.101
4.465,5
seirtsudnI llamS dna egalliV
)i
9.280,3
β
6.740,3
8.904,1
β
8.904,1
2.430,4
β
2.430,4
2.496
β
2.496
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
0.715
9.07
3.414
7.293
6.56
1.723
3.234
6.07
7.163
4.225
3.031
1.293
seirtsudnI lacigrullateM
7.985,31
2.0
5.985,31
1.680,91
3.0
7.580,91
9.068,81
0.3
8.758,81
7.233,12
0.041-
8.274,12
# srehtO
)vi
7.119,628
4.928,43
3.789,287
7.805,047
4.085,02
2.829,917
9.673,976
8.507,22
1.176,656
4.551,665
7.050,21
7.401,455
)ii + i( tropsnarT
.7
1.576,187
5.626,12
6.899,057
0.676,996
0.011,41
1.665,586
1.004,446
5.226,51
6.777,826
8.222,335
7.097,5
1.234,725
segdirB dna sdaoR
)i
6.632,54
9.202,31
7.889,13
7.238,04
5.074,6
2.263,43
8.679,43
3.380,7
5.398,72
6.239,23
0.062,6
6.276,62
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
338
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
SETATS
LLA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.336,1
1.0
4.805,1
0.622,2
8.91
3.602,2
3.863,2
0.02
3.843,2
1.096,1
β
1.096,1
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
8.862,49
5.278,9
9.354,96
0.550,76
8.152,5
2.308,16
5.629,37
9.127,6
6.402,76
5.104,14
1.962,8
4.231,33
)ii +
i( secivreS
cimonocE
lareneG.01
5.386,52
8.111,1
4.314,32
1.640,62
6.307
5.243,52
5.909,82
5.086,1
0.922,72
8.235,61
9.483
8.741,61
msiruoT
)i
3.585,86
7.067,8
5.040,64
9.800,14
2.845,4
7.064,63
0.710,54
5.140,5
5.579,93
7.868,42
1.488,7
6.489,61
@@ srehtO
)ii
5.055,082
4.604,83
0.487,422
0.244,722
4.579,53
6.664,191
5.517,452
3.860,53
2.746,912
2.271,721
3.705,02
9.466,601
)secivreS
lareneG( tnempoleveD-noN
.2
0.444,328,1
0.444,328,1
β
1.883,786,1
1.883,786,1
β
2.675,356,1
2.675,356,1
β
2.764,771,1
2.764,771,1
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
7.531,563
7.531,563
β
4.416,843
4.416,843
β
1.447,843
1.447,843
β
0.909,523
0.909,523
β
snaoL tekraM
.1
2.960,8
2.960,8
β
2.458,7
2.458,7
β
4.368,7
4.368,7
β
4.204,9
4.204,9
β
CIL morf snaoL
.2
5.415,56
5.415,56
β
0.527,36
0.527,36
β
4.652,49
4.652,49
β
1.360,65
1.360,65
β
sknaB
rehto dna
IBS morf snaoL
.3
9.335,011
9.335,011
β
4.204,69
4.204,69
β
0.636,69
0.636,69
β
6.274,38
6.274,38
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.995,5
0.995,5
β
7.240,5
7.240,5
β
4.503,5
4.503,5
β
5.251,4
5.251,4
β
noitaroproC
2.879,039
2.879,039
β
7.096,858
7.096,858
β
1.518,987
1.518,987
β
9.006,504
9.006,504
β
IBR morf AMW
.6
5.048,352
5.048,352
β
2.109,322
2.109,322
β
4.927,422
4.927,422
β
8.135,122
8.135,122
β
FSSN
ot deussi seitiruceS
laicepS
.7
0.377,38
0.377,38
β
5.751,38
5.751,38
β
4.622,68
4.622,68
β
7.433,17
7.433,17
β
srehtO
.8
0.172,83
0.172,83
β
6.898,72
6.898,72
β
5.519,73
5.519,73
β
5.709,91
5.709,91
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
7.185,011
7.185,011
β
9.053,401
9.053,401
β
8.843,201
8.843,201
β
4.096,201
4.096,201
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
9.902,801
9.902,801
β
9.786,101
9.786,101
β
4.960,001
4.960,001
β
0.668,89
0.668,89
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
4.72
4.72
β
3.72
3.72
β
0.82
0.82
β
9.22
9.22
β
semehcS
nalP lartneC
.2
5.49
5.49
β
4.201
4.201
β
2.821
2.821
β
2.067,1
2.067,1
β
semehcS derosnopS
yllartneC
.3
7.960,2
7.960,2
β
5.839,1
5.839,1
β
6.139,1
6.139,1
β
2.389,1
2.389,1
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
7.960,2
7.960,2
β
5.839,1
5.839,1
β
6.139,1
6.139,1
β
2.389,1
2.389,1
β
srehtO
)ii
2.201
2.201
β
2.201
2.201
β
2.201
2.201
β
2.2
2.2
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
0.82
0.82
β
6.82
6.82
β
3.92
3.92
β
8.92
8.92
β
semehcS laicepS
rof snaoL
.6
0.05
0.05
β
0.464
0.464
β
0.06
0.06
β
3.62
3.62
β
srehtO
.7
9.980,152
8.896,201
1.615,741
1.622,352
5.645,801
6.976,441
6.649,302
0.734,36
6.905,041
9.129,932
8.168,19
1.060,841
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
8.096,042
7.266,39
1.351,641
8.286,542
4.519,101
3.767,341
9.397,591
3.458,55
6.939,931
4.658,032
8.113,38
6.445,741
)b
+ a( sesopruP
tnempoleveD
.1
0.641,07
7.794,02
3.393,94
7.696,76
4.348,02
3.358,64
2.215,86
8.875,22
4.339,54
6.196,66
2.602,81
4.584,84
)7 ot 1 ( secivreS
laicoS
)a
5.421
5.221
0.2
5.782
0.271
5.511
5.762
0.251
5.511
8.423
7.801
1.612
erutluC
dna
trA ,stropS ,noitacudE
.1
5.456
5.454
0.002
0.339
0.886
0.542
0.509
0.066
0.542
0.429
0.594
0.924
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
8.448,81
5.912
3.526,81
5.301,71
5.672
0.728,61
5.691,81
5.672
0.029,71
1.905,51
0.553,1
1.451,41
noitatinaS
dna ylppuS
retaW .4
2.699,4
0.460,2
2.239,2
7.644,7
8.265,2
9.388,4
7.934,6
3.365,2
4.678,3
7.062,02
8.398,4
0.763,51
gnisuoH .5
7.964,41
7.463,41
0.001
9.656,41
3.127,21
6.539,1
1.924,51
8.464,31
2.469,1
1.385,11
6.815,01
5.460,1
)gnisuoH(
stnavreS tnemnrevoG
.6
3.650,13
6.272,3
8.335,72
2.962,72
8.224,4
4.648,22
4.472,72
2.264,5
2.218,12
9.980,81
1.538
8.452,71
srehtO .7
8.445,071
0.561,37
8.957,69
0.689,771
1.270,18
0.419,69
8.182,721
6.572,33
2.600,49
7.461,461
6.501,56
1.950,99
)01
ot 1( secivreS
cimonocE
)b
6.455,2
5.455,1
1.000,1
2.523,4
2.540,3
0.082,1
0.360,3
9.605,1
1.655,1
5.233,6
0.595,3
5.737,2
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
4.135,3
0.000,1
4.135,2
8.787,3
0.000,1
8.787,2
7.046,2
β
7.046,2
5.480,31
9.67
6.700,31
gnisuoheraW
dna egarotS
dooF .3
1.786,81
9.172,21
2.514,6
9.286,21
6.962,2
3.314,01
1.590,8
9.289
2.211,7
4.373,7
8.366,1
6.907,5
noitarepo-oC
.4
0.07
β
0.07
0.09
β
0.09
0.05
β
0.05
0.08
β
0.08
.cte
,noitagirrI
muideM dna
rojaM .5
0.176,301
9.222,34
1.844,06
8.609,411
8.221,75
0.487,75
6.385,77
1.462,91
6.913,85
4.309,29
7.560,73
7.738,55
stcejorP
rewoP .6Appendix IV
339
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
SETATS
LLA
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
2.836,1
5.493
7.342,1
2.414,1
6.444
7.969
9.811,1
3.892
6.028
0.492,2
9.805
0.587,1
seirtsudnI
llamS dna egalliV
.7
0.771,4
3.501
7.157,3
1.533,5
2.296,1
9.246,3
2.213,4
3.386,1
9.826,2
6.801,5
5.086,2
1.824,2
slareniM
dna seirtsudnI rehtO
.8
0.06
0.04
0.02
0.05
0.04
0.01
0.06
0.05
0.01
9.06
1.72
8.33
tnempoleveD laruR
.9
5.551,63
9.575,41
6.972,12
0.493,53
7.754,51
2.639,91
2.853,03
0.094,9
1.868,02
6.729,63
8.784,91
8.934,71
srehtO.01
1.993,01
1.630,9
0.363,1
3.345,7
1.136,6
3.219
7.251,8
7.285,7
0.075
6.560,9
0.055,8
6.515
)b + a(
sesopruP tnempoleveD-noN
.2
8.349,7
8.918,6
0.421,1
6.547,6
4.148,5
3.409
5.206,6
5.040,6
0.265
9.025,8
1.210,8
8.805
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
3.554,2
3.612,2
0.932
7.797
7.987
0.8
2.055,1
1.245,1
0.8
7.445
9.735
8.6
suoenallecsiM
)b
1.1
1.1
β
1.1
1.1
β
1.1
1.1
β
6.675
6.675
β
tnemeltteS
etatS-retnI
.V
0.062,51
0.062,51
β
3.177,71
3.177,71
β
7.975,21
7.975,21
β
5.478,91
5.478,91
β
dnuF ycnegnitnoC
.IV
2.911,928
9.824,508
β
0.349,867
0.349,867
β
6.655,647
6.655,647
β
0.914,907
0.914,907
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
2.832,725
9.727,305
β
9.912,284
9.912,284
β
6.102,984
6.102,984
β
7.187,644
7.187,644
β
sdnuF tnedivorP
etatS
.1
0.188,103
0.107,103
β
1.327,682
1.327,682
β
1.553,752
1.553,752
β
2.736,262
2.736,262
β
srehtO
.2
9.859,924
6.021,724
β
3.752,744
3.752,744
β
3.758,393
3.758,393
β
9.748,823
9.748,823
β
)4 ot 1( sdnuF
evreseR.IIIV
6.017
6.017
β
5.229,1
5.229,1
β
6.733
6.733
β
5.278
5.278
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
5.957,131
5.957,131
β
6.425,611
6.425,611
β
5.049,321
5.049,321
β
6.057,201
6.057,201
β
sdnuF
gnikniS
.2
3.4
3.4
β
4.79
4.79
β
2.4
2.4
β
β
β
β
dnuF feileR
enimaF
.3
5.484,792
2.646,492
β
9.217,823
9.217,823
β
9.475,962
9.475,962
β
8.422,522
8.422,522
β
srehtO
.4
3.815,747,5
7.637,147,5
β
0.628,801,5
0.628,801,5
β
0.706,521,5
0.706,521,5
β
8.252,690,4
8.252,690,4
β
)4 ot 1( secnavdA dna
stisopeD
.XI
3.387,757,1
3.376,757,1
β
2.375,606,1
2.375,606,1
β
4.233,755,1
4.233,755,1
β
9.713,265,1
9.713,265,1
β
stisopeD
liviC
.1
2.448,923,2
6.292,423,2
β
5.133,692,2
5.133,692,2
β
8.057,382,2
8.057,382,2
β
1.041,355,1
1.041,355,1
β
sdnuF lacoL fo stisopeD
.2
3.115,96
3.193,96
β
0.668,26
0.668,26
β
6.842,95
6.842,95
β
2.466,17
2.466,17
β
secnavdA
liviC
.3
5.973,095,1
5.973,095,1
β
3.550,341,1
3.550,341,1
β
2.572,522,1
2.572,522,1
β
5.031,909
5.031,909
β
srehtO
.4
1.875,536,62
6.179,136,62
β
7.558,423,52
7.558,423,52
β
7.333,117,62
7.333,117,62
β
6.216,520,73
6.216,520,73
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
0.043,713
5.337,313
β
7.462,813
7.462,813
β
4.587,652
4.587,652
β
1.124225
1.124225
β
esnepsuS
.1
3.663,786,71
3.663,786,71
β
0.556,985,61
0.556,985,61
β
7.162,925,81
7.162,925,81
β
4.512,773,32
4.512,773,32
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
0.363,405,2
0.363,405,2
β
6.822,094,2
6.822,094,2
β
9.658,755,2
9.658,755,2
β
4.546,388,6
4.546,388,6
β
IBR htiw stisopeD
.3
7.805,621,6
7.805,621,6
β
2.707,629,5
2.707,629,5
β
8.924,763,5
8.924,763,5
β
7.033,242,6
7.033,242,6
β
srehtO
.4
β
β
β
0.000,01
0.000,01
β
0.005
0.005
β
0.000,4
0.000,4
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
3.834,333,1
3.801,233,1
β
5.199,762,1
5.199,762,1
β
1.537,313,1
1.537,313,1
β
5.410,741,2
5.410,741,2
β
secnattimeR.IIX
0.951,735
9.063,381-
3.940,345
7.136,501-
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
3.864484-
9.662683-
5.301356-
4.343,57-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
7.09625
8.726965-
2.450,011-
1.579,081-
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
4.09625
9.726965-
4.450,011-
1.579,081-
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
4.09569-
3.602423-
8.270,596-
0.44991
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
1.534,51-
2.558,83
8.762,13
5.29545-
ecnalaB gninepO
)a
5.520211-
1.153582-
9.408,366-
5.84643-
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
5.550,151
2.196052-
4.893,685
2.334,291-
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
7.4771-
7.962,5
0.0831-
9.5848-
)ten(
IBR morf
stfardrevO dna secnavdAState Finances : A Study of Budgets of 2015-16
340
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
IHLED
FO
YROTIRRET
LATIPAC
LANOITAN
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
1.962,701
5.382,81
6.589,88
2.225,78
9.882,71
3.332,07
2.152,29
3.762,71
9.389,47
8.058,611
6.170,94
1.977,76
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
1.962,701
5.382,81
6.589,88
2.225,78
9.882,71
3.332,07
2.152,29
3.762,71
9.389,47
8.058,611
6.170,94
1.977,76
$)stnuoccA
cilbuP
gnidulcxE(
6.978,27
7.681
9.296,27
1.473,94
3.26
8.113,94
6.256,45
0.57
6.775,45
2.470,74
0.54
3.920,74
)2 + 1( yaltuO
latipaC
latoT
.I
2.553,66
5.19
7.362,66
1.730,54
3.26
8.479,44
9.904,05
0.57
9.433,05
4.914,44
0.54
5.473,44
)b + a( tnempoleveD
.1
7.381,63
5.43
2.941,63
6.717,41
β
6.717,41
9.925,81
β
9.925,81
4.524,51
β
4.524,51
)9 ot 1( secivreS
laicoS
)a(
1.382,02
0.03
1.352,02
4.263,5
β
4.263,5
8.613,5
β
8.613,5
0.441,5
β
0.441,5
erutluC
dna trA ,stropS ,noitacudE
.1
7.779,9
5.4
2.379,9
6.115,5
β
6.115,5
5.639,6
β
5.639,6
5.525,3
β
5.525,3
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS dna ylppuS retaW
.4
0.004
β
0.004
0.005
β
0.005
0.005
β
0.005
5.345
β
5.345
gnisuoH
.5
5.726,3
β
5.726,3
1.502,2
β
1.502,2
1.080,4
β
1.080,4
3.650,5
β
3.650,5
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
0.035
β
0.035
0.514
β
0.514
5.483
β
5.483
1.664
β
1.664
sessalC
drawkcaB rehtO dna sebirT
0.557
β
0.557
0.165
β
0.165
0.935
β
0.935
4.063
β
4.063
erafleW dna ytiruceS laicoS
.8
5.016
β
5.016
5.261
β
5.261
0.377
β
0.377
6.923
β
6.923
* srehtO
.9
5.171,03
0.75
5.411,03
5.913,03
3.26
2.752,03
0.088,13
0.57
0.508,13
1.499,82
0.54
1.949,82
)01 ot 1( secivreS cimonocE)b(
5.981
5.1
0.881
0.291
3.21
7.971
0.812
0.5
0.312
0.641
β
0.641
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH porC
)i
β
β
β
0.5
0.5
β
0.5
0.5
β
β
β
β
noitavresnoC retaW dna lioS
)ii
0.03
β
0.03
0.52
β
0.52
0.02
β
0.02
9.21
β
9.21
yrdnabsuH laminA
)iii
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD yriaD
)vi
5.1
5.1
β
5.2
5.2
β
β
β
β
β
β
β
seirehsiF
)v
0.851
β
0.851
7.451
β
7.451
0.391
β
0.391
1.331
β
1.331
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
β
β
β
β
β
β
β
β
β
β
β
β
noitarepo-oC
)x
β
β
β
8.4
8.4
β
β
β
β
β
β
β
@ srehtO
)ix
0.078,1
β
0.078,1
7.171,1
β
7.171,1
0.551,2
β
0.551,2
4.057,1
β
4.057,1
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
5.107
5.55
0.646
0.098
0.05
0.048
8.588
0.07
8.518
1.247
0.54
1.796
lortnoC doolF
0.027
β
0.027
0.073,1
β
0.073,1
0.040,1
β
0.040,1
4.312
β
4.312
ygrenE
.5
0.103
β
0.103
0.185
β
0.185
0.285
β
0.285
0.005
β
0.005
)vi ot i( slareniM dna yrtsudnI
.6
0.103
β
0.103
0.185
β
0.185
0.285
β
0.285
0.005
β
0.005
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
β
β
β
β
β
β
β
β
β
β
β
β
# srehtO
)vi
0.023,62
β
0.023,62
8.520,62
β
8.520,62
2.818,62
β
2.818,62
9.216,52
β
9.216,52
)ii + i( tropsnarT
.7
0.052,51
β
0.052,51
0.000,71
β
0.000,71
0.000,71
β
0.000,71
6.941,81
β
6.941,81
segdirB dna sdaoR
)i
0.070,11
β
0.070,11
8.520,9
β
8.520,9
2.818,9
β
2.818,9
3.364,7
β
3.364,7
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8Appendix IV
341
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
IHLED
FO
YROTIRRET
LATIPAC
LANOITAN
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
0.31
β
0.31
0.01
β
0.01
0.51
β
0.51
9.4
β
9.4
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
5.65
β
5.65
0.97
β
0.97
0.661
β
0.661
5.42
β
5.42
)ii +
i( secivreS
cimonocE
lareneG.01
0.1
β
0.1
0.1
β
0.1
0.1
β
0.1
β
β
β
msiruoT
)i
5.55
β
5.55
0.87
β
0.87
0.561
β
0.561
5.42
β
5.42
@@ srehtO
)ii
4.425,6
2.59
2.924,6
0.733,4
β
0.733,4
7.242,4
β
7.242,4
8.456,2
β
8.456,2
)secivreS
lareneG( tnempoleveD-noN
.2
8.156,71
8.156,71
β
5.767,61
5.767,61
β
3.767,61
3.767,61
β
9.252,31
9.252,31
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
β
β
β
β
β
β
β
β
β
β
β
β
snaoL tekraM
.1
β
β
β
β
β
β
β
β
β
β
β
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
β
β
β
β
β
β
β
β
β
β
β
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
β
β
β
β
β
β
β
β
β
β
β
β
noitaroproC
β
β
β
β
β
β
β
β
β
β
β
β
IBR morf AMW
.6
8.156,71
8.156,71
β
5.767,61
5.767,61
β
3.767,61
3.767,61
β
9.252,31
9.252,31
β
FSSN
ot deussi seitiruceS
laicepS
.7
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
β
β
β
β
β
β
β
β
β
β
β
β
semehcS
nalP lartneC
.2
β
β
β
β
β
β
β
β
β
β
β
β
semehcS derosnopS
yllartneC
.3
β
β
β
β
β
β
β
β
β
β
β
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
7.737,61
0.544
7.292,61
6.083,12
1.954
5.129,02
3.138,02
0.524
3.604,02
7.325,65
8.377,53
9.947,02
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
7.403,61
0.21
7.292,61
0.429,02
5.2
5.129,02
3.814,02
0.21
3.604,02
8.710,45
9.762,33
9.947,02
)b
+ a( sesopruP
tnempoleveD
.1
0.227,9
0.21
0.017,9
7.977,31
5.2
2.777,31
0.892,21
0.21
0.682,21
5.429,31
0.4
5.029,31
)7 ot 1 ( secivreS
laicoS
)a
0.005
β
0.005
0.052
β
0.052
0.007
β
0.007
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
0.075,8
β
0.075,8
2.258,11
β
2.258,11
0.674,9
β
0.674,9
0.320,11
β
0.320,11
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
0.21
0.21
β
5.2
5.2
β
0.21
0.21
β
5.1
5.1
β
)gnisuoH(
stnavreS tnemnrevoG
.6
0.046
β
0.046
0.576,1
β
0.576,1
0.011,2
β
0.011,2
0.009,2
5.2
5.798,2
srehtO .7
7.285,6
β
7.285,6
3.441,7
β
3.441,7
3.021,8
β
3.021,8
3.390,04
9.362,33
4.928,6
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
0.003,3
β
0.003,3
0.059,2
β
0.059,2
0.066,3
β
0.066,3
9.382,63
9.362,33
0.020,3
stcejorP
rewoP .6State Finances : A Study of Budgets of 2015-16
342
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI
xidneppA
IHLED
FO
YROTIRRET
LATIPAC
LANOITAN
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
7.21
β
7.21
2.9
β
2.9
2.51
β
2.51
4.9
β
4.9
seirtsudnI
llamS dna egalliV
.7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM
dna seirtsudnI rehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.9
0.072,3
β
0.072,3
1.581,4
β
1.581,4
1.544,4
β
1.544,4
0.008,3
β
0.008,3
srehtO.01
0.334
0.334
β
6.654
6.654
β
0.314
0.314
β
9.505,2
9.505,2
β
)b + a(
sesopruP tnempoleveD-noN
.2
0.31
0.31
β
6.6
6.6
β
0.31
0.31
β
9.5
9.5
β
)gnisuoH
naht rehto(
stnavreS tnemnrevoG
)a
0.024
0.024
β
0.054
0.054
β
0.004
0.004
β
0.005,2
0.005,2
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS
etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
β
β
β
β
β
β
β
β
β
β
β
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF tnedivorP
etatS
.1
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.2
β
β
β
β
β
β
β
β
β
β
β
β
)4 ot 1( sdnuF
evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
evreseR laweneR/noitaicerpeD
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF
gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR
enimaF
.3
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
)4 ot 1( secnavdA dna
stisopeD
.XI
β
β
β
β
β
β
β
β
β
β
β
β
stisopeD
liviC
.1
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF lacoL fo stisopeD
.2
β
β
β
β
β
β
β
β
β
β
β
β
secnavdA
liviC
.3
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
)4 ot
1( suoenallecsiM dna
esnepsuS
.X
β
β
β
β
β
β
β
β
β
β
β
β
esnepsuS
.1
β
β
β
β
β
β
β
β
β
β
β
β
stnuoccA
tnemtsevnI ecnalaB
hsaC
.2
β
β
β
β
β
β
β
β
β
β
β
β
IBR htiw stisopeD
.3
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF
ycnegnitnoC ot noitairporppA
.IX
β
β
β
β
β
β
β
β
β
β
β
β
secnattimeR.IIX
1.926,18
2.220,16
2.236,88
7.141,65
tnuoccA
euneveR
no )β( ticfi eD/)+(
sulpruS
.A
8.770,39-
2.233,96-
1.452,58-
7.291,76-
tnuoccA
latipaC no )β(ticfi eD/)+(
sulpruS
.B
7.844,11-
0.013,8-
1.873,3
0.150,11-
)B+A(
)β( ticfi eD/)+( sulpruS
llarevO
.C
7.844,11-
0.013,8-
1.873,3
1.150,11-
)iii
ot
i
= C( )β(
ticfi eD/)+( sulpruS fo
gnicnaniF
.D
7.844,11-
0.013,8-
1.873,3
1.150,11-
secnalaB
hsaC
ni )β( esaerceD/)+( esaercnI
.i
4.694
4.608,8
6.126,71
5.758,91
ecnalaB gninepO
)a
3.259,01-
4.694
7.999,02
4.608,8
ecnalaB gnisolC
)b
hsaC
)+(
ot snoitiddA/)β(
morf slawardhtiW
.ii
β
β
β
β
)ten(
tnuoccA tnemtsevnI ecnalaB
snaeM
dna
syaW
ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten(
IBR morf
stfardrevO dna secnavdAAppendix IV
343
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
YRREHCUDUP
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
8.645,002
0.044,491
7.601,6
0.373,381
3.319,671
7.954,6
7.967,871
5.368,171
2.609,6
0.776,56
9.150,26
1.526,3
)IIX ot I( STNEMESRUBSID
LATIPAC
LATOT
STNEMESRUBSID
LATIPAC
LATOT
7.623,8
0.022,2
7.601,6
7.726,8
0.861,2
7.954,6
2.250,9
0.641,2
2.609,6
9.576,5
8.050,2
1.526,3
$)stnuoccA
cilbuP
gnidulcxE(
7.601,6
β
7.601,6
7.954,6
β
7.954,6
2.609,6
β
2.609,6
1.526,3
β
1.526,3
)2 + 1( yaltuO
latipaC
latoT
.I
6.878,4
β
6.878,4
7.835,5
β
7.835,5
6.419,5
β
6.419,5
4.151,3
β
4.151,3
)b + a( tnempoleveD
.1
4.548,1
β
4.548,1
5.471,3
β
5.471,3
1.623,3
β
1.623,3
7.380,1
β
7.380,1
)9 ot 1( secivreS
laicoS
)a(
5.151
β
5.151
7.231
β
7.231
0.131
β
0.131
3.451
β
3.451
erutluC
dna trA ,stropS ,noitacudE
.1
8.702
β
8.702
3.311
β
3.311
7.051
β
7.051
2.001
β
2.001
htlaeH cilbuP dna lacideM
.2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW ylimaF
.3
2.014,1
β
2.014,1
0.699
β
0.699
2.501,1
β
2.501,1
5.877
β
5.877
noitatinaS dna ylppuS retaW
.4
9.13
β
9.13
9.42
β
9.42
9.42
β
9.42
7.13
β
7.13
gnisuoH
.5
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD nabrU
.6
deludehcS
,setsaC deludehcS fo erafleW
.7
0.51
β
0.51
8.11
β
8.11
0.21
β
0.21
5.5
β
5.5
sessalC
drawkcaB rehtO dna sebirT
6.91
β
6.91
5.21
β
5.21
3.71
β
3.71
8.7
β
8.7
erafleW dna ytiruceS laicoS
.8
6.9
β
6.9
4.388,1
β
4.388,1
1.588,1
β
1.588,1
6.5
β
6.5
* srehtO
.9
2.330,3
β
2.330,3
2.463,2
β
2.463,2
6.885,2
β
6.885,2
7.760,2
β
7.760,2
)01 ot 1( secivreS cimonocE)b(
6.752
β
6.752
3.232
β
3.232
5.932
β
5.932
0.412
β
0.412
)ix
ot
i( seitivitcA deillA dna erutlucirgA
.1
9.73
β
9.73
7.12
β
7.12
4.82
β
4.82
7.72
β
7.72
yrdnabsuH porC
)i
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC retaW dna lioS
)ii
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH laminA
)iii
0.6
β
0.6
5.6
β
5.6
5.6
β
5.6
0.5
β
0.5
tnempoleveD yriaD
)vi
5.821
β
5.821
2.641
β
2.641
1.741
β
1.741
1.021
β
1.021
seirehsiF
)v
β
β
β
β
β
β
β
β
β
β
β
β
efiL dliW dna yrtseroF
)iv
β
β
β
β
β
β
β
β
β
β
β
β
snoitatnalP)iiv
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS dooF)iiiv
β
β
β
β
β
β
β
β
β
β
β
β
noitacudE
dna hcraeseR larutlucirgA
)xi
2.57
β
2.57
5.55
β
5.55
5.55
β
5.55
2.95
β
2.95
noitarepo-oC
)x
0.01
β
0.01
4.2
β
4.2
0.2
β
0.2
0.2
β
0.2
@ srehtO
)ix
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR
.2
β
β
β
β
β
β
β
β
β
β
β
β
semmargorP aerA laicepS
.3
β
β
β
β
β
β
β
β
β
β
β
β
saerA lliH :hcihw
fo
dna noitagirrI muideM dna rojaM
.4
1.624
β
1.624
0.344
β
0.344
1.145
β
1.145
8.291
β
8.291
lortnoC doolF
4.378
β
4.378
9.464
β
9.464
7.086
β
7.086
6.538
β
6.538
ygrenE
.5
6.75
β
6.75
7.631
β
7.631
0.131
β
0.131
3.841
β
3.841
)vi ot i( slareniM dna yrtsudnI
.6
5.75
β
5.75
0.56
β
0.56
0.56
β
0.56
0.56
β
0.56
seirtsudnI llamS dna egalliV
)i
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI leetS dna norI
)ii
dna gniniM suorreF-noN
)iii
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI lacigrullateM
1.0
β
1.0
7.17
β
7.17
0.66
β
0.66
3.38
β
3.38
# srehtO
)vi
0.321,1
β
0.321,1
3.088
β
3.088
3.957
β
3.957
5.706
β
5.706
)ii + i( tropsnarT
.7
0.739
β
0.739
9.577
β
9.577
9.296
β
9.296
9.965
β
9.965
segdirB dna sdaoR
)i
0.681
β
0.681
4.401
β
4.401
4.66
β
4.66
6.73
β
6.73
** srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
snoitacinummoC
.8State Finances : A Study of Budgets of 2015-16
344
).dtnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
:
VI
xidneppA
YRREHCUDUP
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
tnemnorivnE
dna
ygolonhceT
,ecneicS .9
5.592
β
5.592
0.702
β
0.702
0.732
β
0.732
5.96
β
5.96
)ii +
i( secivreS
cimonocE
lareneG.01
5.592
β
5.592
0.702
β
0.702
0.732
β
0.732
5.96
β
5.96
msiruoT
)i
β
β
β
β
β
β
β
β
β
β
β
β
@@ srehtO
)ii
1.822,1
β
1.822,1
0.129
β
0.129
6.199
β
6.199
7.374
β
7.374
)secivreS
lareneG( tnempoleveD-noN
.2
3.045
3.045
β
7.184
7.184
β
4.354
4.354
β
9.823
9.823
β
)8
ot 1( tbeD lanretnI
fo egrahcsiD
.II
β
β
β
β
β
β
β
β
β
β
β
β
snaoL tekraM
.1
β
β
β
β
β
β
β
β
β
β
β
β
CIL morf snaoL
.2
β
β
β
β
β
β
β
β
β
β
β
β
sknaB
rehto dna
IBS morf snaoL
.3
3.713
3.713
β
5.662
5.662
β
5.662
5.662
β
5.651
5.651
β
DRABAN
morf snaoL
.4
tnempoleveD
evitarepo-oC
lanoitaN
morf snaoL
.5
0.322
0.322
β
2.512
2.512
β
9.681
9.681
β
4.271
4.271
β
noitaroproC
β
β
β
β
β
β
β
β
β
β
β
β
IBR morf AMW
.6
β
β
β
β
β
β
β
β
β
β
β
β
FSSN
ot deussi seitiruceS
laicepS
.7
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.8
β
β
β
β
β
β
β
β
β
β
β
β
sdnoB
noitasnepmoC
dnaL :hcihw
fo
7.956,1
7.956,1
β
3.866,1
3.866,1
β
3.866,1
3.866,1
β
9.807,1
9.807,1
β
)7 ot
1( ertneC
eht ot snaoL
fo tnemyapeR
.III
0.533
0.533
β
8.963
8.963
β
8.963
8.963
β
2.724
2.724
β
semehcS
nalP etatS
.1
nalP
fo esaeler ecnavdA
:hcihw
fo
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof ecnatsissA
3.226
3.226
β
3.306
3.306
β
3.306
3.306
β
3.295
3.295
β
semehcS
nalP lartneC
.2
9.0
9.0
β
9.0
9.0
β
9.0
9.0
β
8.0
8.0
β
semehcS derosnopS
yllartneC
.3
5.107
5.107
β
3.496
3.496
β
3.496
3.496
β
6.886
6.886
β
)ii + i( nalP-noN
.4
β
β
β
β
β
β
β
β
β
β
β
β
seitimalaC
larutaN
rof feileR
)i
5.107
5.107
β
3.496
3.496
β
3.496
3.496
β
6.886
6.886
β
srehtO
)ii
β
β
β
β
β
β
β
β
β
β
β
β
ertneC
morf
secnavdA snaeM
dna syaW
.5
β
β
β
β
β
β
β
β
β
β
β
β
semehcS laicepS
rof snaoL
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.7
0.02
0.02
β
0.81
0.81
β
3.42
3.42
β
0.31
0.31
β
)2+1(
stnemnrevoG
etatS yb secnavdA
dna
snaoL
.VI
0.1
0.1
β
4.0
4.0
β
1.1
1.1
β
β
β
β
)b
+ a( sesopruP
tnempoleveD
.1
0.1
0.1
β
4.0
4.0
β
0.1
0.1
β
β
β
β
)7 ot 1 ( secivreS
laicoS
)a
β
β
β
β
β
β
β
β
β
β
β
β
erutluC
dna
trA ,stropS ,noitacudE
.1
β
β
β
β
β
β
β
β
β
β
β
β
htlaeH
cilbuP dna
lacideM .2
β
β
β
β
β
β
β
β
β
β
β
β
erafleW
ylimaF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitatinaS
dna ylppuS
retaW .4
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoH .5
0.1
0.1
β
4.0
4.0
β
0.1
0.1
β
β
β
β
)gnisuoH(
stnavreS tnemnrevoG
.6
β
β
β
β
β
β
β
β
β
β
β
β
srehtO .7
β
β
β
β
β
β
1.0
1.0
β
β
β
β
)01
ot 1( secivreS
cimonocE
)b
β
β
β
β
β
β
β
β
β
β
β
β
yrdnabsuH
porC .1
β
β
β
β
β
β
β
β
β
β
β
β
noitavresnoC
retaW
dna lioS .2
β
β
β
β
β
β
β
β
β
β
β
β
gnisuoheraW
dna egarotS
dooF .3
β
β
β
β
β
β
β
β
β
β
β
β
noitarepo-oC
.4
β
β
β
β
β
β
β
β
β
β
β
β
.cte
,noitagirrI
muideM dna
rojaM .5
β
β
β
β
β
β
β
β
β
β
β
β
stcejorP
rewoP .6Appendix IV
345
).dlcnoC(
erutalsigeL
htiw
seirotirreT
noinU
dna
etatS
fo
erutidnepxE
latipaC
: VI xidneppA
YRREHCUDUP
)noilliM
`(
61-5102
51-4102
51-4102
41-3102
)setamitsE
tegduB(
)setamitsE
desiveR(
)setamitsE
tegduB(
)stnuoccA(
metI
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
LATOT
NALP-NON
NALP
31
21
11
01
9
8
7
6
5
4
3
2
1
β
β
β
β
β
β
β
β
β
β
β
β
seirtsudnI llamS dna egalliV .7
β
β
β
β
β
β
β
β
β
β
β
β
slareniM dna seirtsudnI rehtO .8
β
β
β
β
β
β
β
β
β
β
β
β
tnempoleveD laruR .9
β
β
β
β
β
β
1.0
1.0
β
β
β
β
srehtO.01
0.91
0.91
β
6.71
6.71
β
2.32
2.32
β
0.31
0.31
β
)b + a( sesopruP tnempoleveD-noN
.2
0.91
0.91
β
6.71
6.71
β
2.32
2.32
β
0.31
0.31
β
)gnisuoH naht rehto( stnavreS tnemnrevoG
)a
β
β
β
β
β
β
β
β
β
β
β
β
suoenallecsiM
)b
β
β
β
β
β
β
β
β
β
β
β
β
tnemeltteS etatS-retnI
.V
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC
.IV
3.148,2
3.148,2
β
0.385,2
0.385,2
β
0.135,2
0.135,2
β
4.533,2
4.533,2
β
)2+1( .cte ,sdnuF tnedivorP
etatS.IIV
0.508,2
0.508,2
β
0.055,2
0.055,2
β
0.005,2
0.005,2
β
6.503,2
6.503,2
β
sdnuF tnedivorP etatS
.1
3.63
3.63
β
0.33
0.33
β
0.13
0.13
β
8.92
8.92
β
srehtO
.2
0.705,1
0.705,1
β
0.073,1
0.073,1
β
0.006,1
0.006,1
β
8.443
8.443
β
)4 ot 1( sdnuF evreseR.IIIV
β
β
β
β
β
β
β
β
β
β
β
β
sdnuF evreseR laweneR/noitaicerpeD
.1
0.705,1
0.705,1
β
0.073,1
0.073,1
β
0.006,1
0.006,1
β
8.443
8.443
β
sdnuF gnikniS
.2
β
β
β
β
β
β
β
β
β
β
β
β
dnuF feileR enimaF
.3
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.4
2.834,2
2.834,2
β
5.612,2
5.612,2
β
0.541,2
0.541,2
β
1.898,1
1.898,1
β
)4 ot 1( secnavdA dna stisopeD
.XI
2.217,1
2.217,1
β
5.655,1
5.655,1
β
0.605,1
0.605,1
β
2.143,1
2.143,1
β
stisopeD liviC
.1
0.517
0.517
β
0.056
0.056
β
0.036
0.036
β
7.845
7.845
β
sdnuF lacoL fo stisopeD
.2
0.11
0.11
β
0.01
0.01
β
0.9
0.9
β
2.8
2.8
β
secnavdA liviC
.3
β
β
β
β
β
β
β
β
β
β
β
β
srehtO
.4
6.342,281
6.342,281
β
8.576,561
8.576,561
β
5.146,061
5.146,061
β
5.155,25
5.155,25
β
)4 ot 1( suoenallecsiM dna esnepsuS
.X
0.561
0.561
β
0.051
0.051
β
0.021
0.021
β
3.41-
3.41-
β
esnepsuS
.1
0.050,281
0.050,281
β
0.005,561
0.005,561
β
0.005,061
0.005,061
β
8.052,1
8.052,1
β
stnuoccA tnemtsevnI ecnalaB hsaC
.2
0.2
0.2
β
8.1
8.1
β
5.1
5.1
β
4.792,15
4.792,15
β
IBR htiw stisopeD
.3
6.62
6.62
β
0.42
0.42
β
0.02
0.02
β
7.71
7.71
β
srehtO
.4
β
β
β
β
β
β
β
β
β
β
β
β
dnuF ycnegnitnoC ot noitairporppA
.IX
0.091,3
0.091,3
β
0.009,2
0.009,2
β
0.008,2
0.008,2
β
4.178,2
4.178,2
β
secnattimeR.IIX
7.61
8.719
5.833,1
3.157,1-
tnuoccA euneveR no )β( ticfi eD/)+( sulpruS
.A
7.735-
2.193,1-
5.434-
3.020,7
tnuoccA latipaC no )β(ticfi eD/)+( sulpruS
.B
0.125-
5.374-
0.409
9.862,5
)B+A( )β( ticfi eD/)+( sulpruS llarevO
.C
0.125-
4.374-
0.409
9.862,5
)iii ot i = C( )β( ticfi eD/)+( sulpruS fo gnicnaniF
.D
2.070,1-
7.279-
0.404
4.62
secnalaB hsaC ni )β( esaerceD/)+( esaercnI
.i
0.001
7.901
7.501
5.601
ecnalaB gninepO
)a
2.079-
0.368-
7.905
9.231
ecnalaB gnisolC
)b
hsaC )+( ot snoitiddA/)β( morf slawardhtiW
.ii
2.945
3.994
0.005
5.242,5
)ten( tnuoccA tnemtsevnI ecnalaB snaeM dna syaW ni )+( esaerceD/)β( esaercnI
.iii
β
β
β
β
)ten( IBR morf stfardrevO dna secnavdA .elbaliavA toN/elbigilgeN/liN
: β
.tic
fied/sulprus
llarevo
rof
meti
gnicnan
fi sa
nekat
neeb
sah
)6(II
meti
elihw
stpiecer
latipac
rednu
sisab
ten
a
no
nekat
neeb
sah
)3(II
meti
dedulcxe
era
)6(II dna )3(II ta smeti elihw VI ot I smetI fo
muS
: $
.cte
,secivreS
laicoS
rehto ,yticilbuP dna noitamrofnI no yaltuo edulcnI
: *
.cte
,semmargorP larutlucirgA rehto no yaltuo edulcnI
: @
,seirtsudnI
ygrenE
cimotA
,seirtsudnI
remusnoC
,seirtsudnI
cinortcelE
dna
noitacinummoceleT
,seirtsudnI
gnireenignE
,seirtsudnI
lacimehC
,seirtsudnI
lacimehC-orteP
,seirtsudnI
cillateM-noN dna tnemeC no yaltuo edulcnI
: #
.cte ,slareniM dna seirtsudnI
rehto
.cte
,tropsnarT
rehtO
,tropsnarT
retaW
dnalnI
,tropsnarT
daoR
,noitaivA
liviC
,gnippihS
,sesuoH
thgiL
dna
stroP
,seniL
cigetartS
yawliaR
naidnI
,seniL
laicremmoC yawliaR naidnI no yaltuo edulcnI
: **
.cte
,snoitutitsnI
laicnaniF
lanoitanretnI
,snoitutitsnI
gnidarT
dna
laicnaniF
lareneG
ni stnemtsevnI
,secivreS
cimonocE
lareneG
rehto
,ygolonhceT
noitomorP
tropxE dna edarT ngieroF no yaltuo edulcnI
: @@
.GAC
yb
dehsilbup
etatS
eht
fo
stnuoccA
ecnaniF
morf
nekat
era
41-3102
rof rimhsaK dna ummaJ ot gniniatrep ataD
.1
:etoN
.rimhsaK
& ummaJ
yb
nevig
ton
si
pu
kaerb
eht
sa
pu
dda
ton
lliw
)EB(
61-5102 rof pu kaerb nalp non-nalp setats llA
.2
.stnemnrevog etats fo stnemucod tegduB
:
ecruoSState Finances : A Study of Budgets of 2015-16
NOTES TO APPENDICES
Appendix I:
1. Where details are not available in respect of one or several sub-groups under a major group, the
relevant amount is shown against the sub-group βOthersβ except for Sales Tax where the relevant
amount is shown against the sub-group βState Sales Taxβ.
2. Where the break-up of grants for βCentral Plan Schemesβ and βCentrally Sponsored Schemesβ are
not available, the relevant amount is shown against βCentrally Sponsored Schemesβ.
3. To ensure consistency in data across states, adjustment as mentioned below is made to the
classifi cation as presented in the budgets of Madhya Pradesh.
β’ All grants recommended by FC-XIII are shown under non-plan statutory grants for 2014-15 (BE)
and 2014-15 (RE).
4. The data are subject to rounding-off.
Appendix II:
1. Where details are not available in respect of one or several sub-groups under major groups, the
relevant amount is shown against the sub-group βOthersβ.
2. Negative fi gures for non-plan expenditure may appear for some States under a few expenditure
heads on account of non-plan expenditure being derived by deducting plan expenditure from the total
expenditure for the respective head as given in the Annual Financial Statement of the State.
3. The data are subject to rounding-off.
Appendix III:
1. All fi gures are on a gross basis including those under βPublic Accountβ. Further, WMA from RBI is
included under βInternal Debtβ while βCash Balance Investment Accountβ and βDeposits with RBIβ are
included under βSuspense and Miscellaneousβ. Total capital receipts taking public accounts on a net
basis are also given to provide comparable data with those of the previous years.
2. Sub-groups βSmall Savings, Provident Funds, etc.β, βReserve Fundsβ, βDeposits and Advancesβ,
βSuspense and Miscellaneousβ and βRemittancesβ pertain to the βPublic Accountβ.
3. Where details are not available in respect of one or several sub-groups under a major group, the
relevant amount is shown against the sub-group βOthersβ.
4. Where the break-up of loans for βCentral Plan Schemesβ, and βCentrally Sponsored Schemesβ are
not available, the relevant amount is shown against βCentrally Sponsored Schemesβ.
5. The data are subject to rounding-off.
346State Finances : A Study of Budgets of 2015-16
Appendix IV:
1. All fi gures are on a gross basis including those under βPublic Accountβ and βContingency Fundβ. Total
capital expenditure exclusive of public accounts are also given to provide comparable data with those
of the previous years.
2. Where details are not available in respect of one or several sub-groups under major groups, the
relevant amount is shown against the sub-group βOthersβ.
3. Negative fi gures for non-plan expenditure may appear for some States under a few expenditure
heads on account of non-plan expenditure being derived by deducting plan expenditure from the total
expenditure for the respective head as given in the Annual Financial Statement of the State.
4. The data are subject to rounding-off.
347