Impact
of Public Expenditure on Education in Chhattisgarh
Archana
Sethi
School
of studies in Economics, Pt.Ravishankar Shukla University Raipur.
Abstract
This
paper objective to investigate the correlation between public spending on
education and the growth of the state of Chhattisgarh. Time-series data
spanning from 2000 to 2021 was utilised. Public expenditure has several effects
in economy. It can increase economic growth. It can increase social welfare. It
is directly expected education is helps Positive Social change of citizen. The
result shows that total public expenditure and Education expenditure is highly
and statistically significant on economic growth indicator such as GER and DOR
in primary level in Chhattisgarh.Public expenditure helps in achieving
equitable distribution income and promote growth and welfare. The findings
indicate that total public spending and education spending have a statistically
significant and positive impact on economic growth indicators like the state's
Gross Enrollment Ratio (GER) and the percentage of primary school dropout
children (DOR) at the primary level. Education is directly expected to
contribute to citizens' positive social transformation. The study's findings
show that public spending on education and economic growth are correlated over
the long term. Over time, there is a found unidirectional causal relationship
between public education spending and Gross State Domestic Product (GSDP).
Keywords: Economy, Public Expenditure,
GER, DOR. State economy, Education,
Introduction
After reviewing the literature, it was found that several
scholars have examined the connection between public spending and the expansion
of various national and international economies, but only a small number of
these analyses have been conducted at the state level. This study will pay
particular attention to the economy of the Chhattisgarh state to disclose the
spending and growth patterns of the state since its founding and to show the
relationships between factors that make sense. Additionally, the study will
provide a road map for other states that were created on November 1 of the same
year as Chhattisgarh.
Since its establishment on November 1, 2000, the economy
of Chhattisgarh State has seen a growing growth trajectory (Figure 1.1). The
data is shown in Table 1 that is provided below, as well as in Figures 1 and 2,
which show that the state's total expenditure and its gross state product have
been increasing over the past 20 years. It increased to Rs. 47862.29 of GSDP
and Rs. 9291.53 for government expenditure in 2005, with growth rates of 85.18%
and 69.82%, respectively, in the first five years of its inception from Rs.
25846.16 crore and Rs. 5471.48 crore of overall government expenditure.
Objectives of the research
1. To examine the composition,
distribution, and trajectory of governmental spending and
economic expansion since the founding of
the state.
2. To reveal the logical
connection between the variables.
3. To examine government
expenditures and their impact on education.
Research and Methods:
The
data used in this analysis spans the years 2001 through 2020. Data for the GSDP
was taken from the Chhattisgarh government's Directorate of Statistics and
Planning Department. The information about public spending was collected from
the Chhattisgarh government's finance department website. Additionally, we used
data from the Ministry of Statistics and Planning Implementation (MoSPI). To
steer the investigation in the appropriate direction, a variety of statistical
methods have been utilized to compute the average, percentage, and ratios of
the variables, including correlation and regression analysis.
Hypothesis
1. H0 ; There is no
significant impact of Public Expenditure on Education factors (GER and DOR
Primary level.
H1 ; There is
significant impact of Public Expenditure on Education factors (GER and DOR )Primary
level.
2. H0 ; There is no
significant impact of Education Expenditure on Education factors (GER and DOR)
Primary level.
H1 ; There is
significant impact of Education Expenditure on Education factors (GER and DOR) Primary
level.
Table -1
Gross Domestic State Production and Total Public Expenditure of
Chhattisgarh
|
Year
|
Gross Domestic State Production
|
Total Public Expenditure
|
Total Public
Expenditure as a
% of GSDP
|
Annual
Growth rate of GSDP
|
Annual
Growth rate of Total Public
Expenditure¼%½
|
|
2001-02
|
25846.2
|
5471.5
|
21.2
|
0
|
0
|
|
2002-03
|
29539.4
|
6408.6
|
21.8
|
14.3
|
17.2
|
|
2003-04
|
32492.7
|
8173.6
|
25.2
|
10.1
|
27.6
|
|
2004-05
|
38802.1
|
8495.3
|
21.9
|
19.5
|
3.9
|
|
2005-06
|
47862.3
|
9291.6
|
19.5
|
23.4
|
9.4
|
|
2006-07
|
53381.2
|
11773.5
|
22.1
|
11.6
|
26.8
|
|
2007-08
|
66874.9
|
14383.3
|
21.6
|
25.3
|
22.2
|
|
2008-09
|
80255.2
|
17226.1
|
21.5
|
20.1
|
19.8
|
|
2009-10
|
96972.2
|
20910.5
|
21.6
|
20.9
|
21.4
|
|
2010-11
|
99364.3
|
22876.2
|
23.1
|
2.5
|
9.5
|
|
2011-12
|
119419.8
|
27957.3
|
23.5
|
20.2
|
22.3
|
|
2012-13
|
158073.9
|
33778.7
|
21.4
|
32.4
|
20.9
|
|
2013-14
|
177511.4
|
38757.3
|
21.9
|
12.4
|
14.8
|
|
2014-15
|
206833.2
|
46204.1
|
22.4
|
16.6
|
19.3
|
|
2015-16
|
221118.2
|
51811.3
|
23.5
|
6.9
|
12.2
|
|
2016-17
|
225162.9
|
57916.8
|
25.8
|
1.9
|
11.8
|
|
2017-18
|
262801.8
|
66600.6
|
25.3
|
16.7
|
15.0
|
|
2018-19
|
282283.4
|
73569.9
|
26.1
|
7.4
|
10.5
|
|
2019-20
|
318101.1
|
82094.9
|
25.8
|
12.7
|
11.6
|
|
2020-21
|
344955.4
|
79107.5
|
22.9
|
8.4
|
-3.6
|
Sources:
Finance department of Chhattisgarh 2017.
Alternatively, it
shows that the government expenditure as a percentage of GSDP was 21.2% in
2001–02 and increased to 25.2% in 2003–04 after that. However, even though the
percentage of GSDP spent on government expenses has not increased significantly
in a relative sense, the absolute value still exhibits an upward trend through
2015, with an average annual growth rate of around 26%. Since 2001–2002, the
proportion of developmental spending has grown, now making up about 78% of
overall spending. Despite being named the best fiscally performing state by the
RBI and the centre in 2015–16, "the human development of the state is not
very significant" (Ashish Kumar Mishra, 2017).
The data set from
2001 to 2020 shows an average growth of 22.86% in government spending as a
percentage of the gross domestic product. Government spending increased at a
relatively high pace in 2003, around 28%, then decreased to 4% in 2004,
increased to 26.71% in 2006, and then began to drop until 2020 (Figure 3). GSDP
has grown at an average annual pace of 14.13% over the past 20 years, while
government spending has grown at an average annual rate of 14.59%. When
compared to the national average, the average per capita GSDP and expenditures
are below average at Rs. 48172.40 and Rs. 12588.25, respectively.
In each of the
corresponding years, the government's spending as a share of GSDP stays stable
between 20 and 25%. Since the state's GSDP is calculated in nominal terms,
which incorporate inflation, there is a larger difference between the two curves.
However, if we consider the GSDP as a whole, it is growing faster than
government spending overall.
The GSDP growth rate
fluctuates a lot between gains and reductions, showing no discernible trend.
For the studied period, there is a rising tendency in the per capita GDP;
however, this development is gradual.
FORMULA FOR RECEIPTS:
Government receipts
can be divided into two categories: revenue receipts and capital receipts.
Revenue receipts are those receipts that do not burden the government or give
rise to a claim. Tax revenue and non-tax revenue are the two categories. Taxes
are mandatory payments that individuals and businesses must make to the
government without receiving any immediate benefits in return. There are two
sorts of tax revenue: direct tax and indirect tax. To put it another way,
capital receipts are non-recurring receipts that result from a corporation or
government's financing and investment activity. The following table 2 displays
the state government's revenue structure.
Table 2 shows an increasing tendency for revenue and capital
receipts, while capital receipts for the period of 2001 to 2020 show no trend
and occasionally increase and decline.Although the trend structures for the
various variables (revenue and capital receipts) varied, the overall trend for
receipts from 2001 is readily seen in figure 2.2. According to the data, total
receipts in 2001 were Rs. 5582.81 crore, of which Rs. 1207.12 crore came from
capital receipts and Rs. 4375.69 crore from revenue receipts (including tax and
non-tax revenue).
Table-2
Revenue and Capital Receipts
|
Year
|
Revenue
Receipts (Cr. Rs.)
|
Capital Receipts
(Cr. Rs.)
|
Total Receipts
(Cr. Rs.)
|
|
2001&02
|
4375.7
|
1207.2
|
5582.9
|
|
2002&03
|
5417.3
|
844.4
|
6261.7
|
|
2003&04
|
5959.4
|
2469.9
|
8429.3
|
|
2004&05
|
7248.9
|
1256.9
|
8505.8
|
|
2005&06
|
8838.5
|
-39.8
|
8798.7
|
|
2006&07
|
1153.2
|
196.5
|
1349.7
|
|
2007&08
|
13878.7
|
508.1
|
14386.8
|
|
2008&09
|
15662.8
|
1908.7
|
17571.5
|
|
2009&10
|
18154.2
|
2550.1
|
20704.3
|
|
2010&11
|
22719.6
|
-769.1
|
21950.5
|
|
2011&12
|
25867.4
|
3664.9
|
22202.5
|
|
2012&13
|
29578.1
|
2339.5
|
31917.6
|
|
2013&14
|
32050.3
|
8426.9
|
40477.2
|
|
2014&15
|
37932.8
|
8186.9
|
46119.7
|
|
2015&16
|
46067.7
|
5127.9
|
51195.6
|
|
2016&17
|
53685.3
|
4585.6
|
58270.9
|
|
2017&18
|
59647.1
|
7225.2
|
66872.3
|
|
2018&19
|
65098.6
|
8154.4
|
73253.0
|
|
2019&20
|
63868.7
|
16710.5
|
80579.2
|
|
2020&21
|
63176.2
|
15904.7
|
79080.9
|
Sources:
Finance department of Chhattisgarh 2017.
Additionally, in 2006–07, when
capital receipts were extremely low at Rs 196.54 crore compared to income
receipts of Rs 11453.24 crore, the overall receipt increased to Rs 11649.79
crore. In 2010–11, the capital receipt was Rs. -769.06 crore. In terms of total
receipts, Chhattisgarh's economy relies heavily on revenue sources.
EXPENDITURE STRUCTURE:
Once more, the
Chhattisgarh economy's expenditure pattern has the same pattern as its revenue
receipts. Between 2001 and 2010, total spending, which consists of revenue and
capital expenditure, grew steadily, and after that, it grew at an increasing
rate.
In the same way,
revenue expenditures (which include expenses for paying salaries, wages,
pensions, subsidies, and interest) take the same course. Since the state's
founding in 2001, revenue spending has climbed from Rs 4914.36 crore to Rs
70032.84 crore between the years of 2001 and 2020, or around 14 times.
Additionally, capital expenditures (the cost of building assets such as
schools, colleges, hospitals, roads, bridges, trains, airports, and seaports,
etc.) were Rs. 476.26 crore in 2001 and would be Rs. 9024.19 crore in 2020, or
almost 20 years later (table 3).
Table-3
Total Expenditure Revenue expenditures capital
expenditure
|
Year
|
Total
Expenditure
(Crore
Rs.)
|
Revenue expenditures
(Crore
Rs.)
|
capital expenditures
(Crore
Rs.)
|
|
2001&02
|
5471.5
|
4914.4
|
476.3
|
|
2002&03
|
6408.6
|
5530.0
|
819.8
|
|
2003&04
|
8173.6
|
6600.4
|
1015.5
|
|
2004&05
|
8495.3
|
7103.1
|
1279.1
|
|
2005&06
|
9291.6
|
7457.1
|
1496.9
|
|
2006&07
|
11773.5
|
8802.4
|
2198.1
|
|
2007&08
|
14383.3
|
10750.1
|
3130.7
|
|
2008&09
|
17226.1
|
13793.7
|
2940.2
|
|
2009&10
|
20910.5
|
17265.4
|
2744.9
|
|
2010&11
|
22876.2
|
19355.7
|
2951.5
|
|
2011&12
|
27957.3
|
22628.1
|
4056.4
|
|
2012&13
|
33778.7
|
26971.8
|
4919.3
|
|
2013&14
|
38757.3
|
32859.6
|
4574.2
|
|
2014&15
|
46204.1
|
39497.2
|
6617.3
|
|
2015&16
|
51811.3
|
43701.1
|
7945.0
|
|
2016&17
|
57916.8
|
48164.6
|
9470.5
|
|
2017&18
|
66600.5
|
56229.8
|
10000.9
|
|
2018719
|
73569.9
|
64421.5
|
8903.5
|
|
2019&20
|
82095.0
|
73472.4
|
8566.4
|
|
2020&21
|
79107.5
|
70032.8
|
9024.2
|
Sources:
Finance department of Chhattisgarh 2017
In addition to all of these
studies, the Chhattisgarh economy is having trouble finding investments that
will create assets rather than just preserve them. Because Chhattisgarh has a
wealth of mineral resources that can enable the necessary investment to be
realized, the government should raise capital expenditure (capex) as it fosters
greater economic growth.
STRUCTURE OF REVENUE AND FISCAL
DEFICIT, LOANS, AND ADVANCES
Table 4 displays year-by-year
revenue, fiscal deficit, loans, and advances for the state of Chhattisgarh. The
data for loans and advances demonstrates an increasing trend up until 2014,
after which it declines to a very low position in 2015 and then slowly
increases. While advances are short-term credit facilities given by financial
institutions to businesses for a duration of one to two months or up to a year,
and they are fully repayable at the end of the term, loans are long-term
financial support given by banks and financial institutions to individuals or
business firms.
Table-4
Loans
and advances revenue deficit & fiscal deficit
|
Year
|
LOANS, AND ADVANCES (CroreRs.)
|
REVENUE DEFICIT/SAVINGS
|
FISCAL DEFICIT
|
|
2001&02
|
80.9
|
-538.7
|
-1086.7
|
|
2002&03
|
58.8
|
-112.7
|
-972.6
|
|
2003&04
|
557.7
|
-641.1
|
-2203.6
|
|
2004&05
|
113.0
|
145.8
|
-1231.6
|
|
2005&06
|
337.5
|
1381.4
|
-435.1
|
|
2006&07
|
772.7
|
2650.8
|
36.8
|
|
2007&08
|
502.5
|
3128.6
|
-38.2
|
|
2008&09
|
492.2
|
1869.1
|
-1026.7
|
|
2009&10
|
900.1
|
888.7
|
-1757.7
|
|
2010&11
|
568.9
|
3363.8
|
409.8
|
|
2011&12
|
1272.8
|
3239.3
|
-801.7
|
|
2012&13
|
1887.5
|
2606.3
|
-2654.7
|
|
2013&14
|
1323.5
|
-809.3
|
-5057.8
|
|
2014&15
|
89.6
|
-1564.4
|
-8072.2
|
|
2015&16
|
165.2
|
2366.7
|
-5615.8
|
|
2016&17
|
281.6
|
5520.7
|
-4055.7
|
|
2017&18
|
369.8
|
3417.3
|
-6837.0
|
|
2018&19
|
244.9
|
677.1
|
-8298.9
|
|
2019&20
|
56.2
|
-9603.7
|
-18064.6
|
|
2020&21
|
50.5
|
-6856.7
|
-15822.4
|
Sources:
Finance department of Chhattisgarh 2017.
The revenue deficit, which is
the difference between revenue receipts and revenue spending, may be seen in
table4 It was initially somewhat negative up until 2006, after which it turned
positive until 2019 and then started to decline. Due to the pandemic
(Covid-19), it was high in 2020 because the government's revenue expenditures
were greater than its revenue inflows. Again, the budget deficit was quite low
from 2001 to 2012, but after that it rose significantly. It was large in
2019–20, totalling around Rs. 18064.63 crore, and in 2020–21, totalling Rs.
15822.38 crore, both due to the pandemic. Looking at the plot, Figure 4.2 shows
that the fiscal deficit has been expanding from 2011–12 to 2020–21.
Table 5 below shows
the compound growth rate of education items from 2000–01 to 2016–17. The
compound growth rate is used to find out how much the value of the variables is
increasing. The compound growth rate of total public expenditure is 15.88
percent. The compound growth rate of total public expenditure on education is
14.61 percent. The compound growth rate of the Gross Enrolment Ratio (GER) in
primary-level education is 4.57 percent. The compound growth rate of DOR at the
primary level is -5.04%, which is showing a declining trend. The compound
growth rate of gross domestic product (SGDP) is 14.48 percent. The compound
growth rate of expenditure on education per capita is 12.20 percent. It is
clear that the largest increase in education items is due to the increase in
total public expenditure by 15.88 percent, and the compound growth rate in the
number of out-of-school children at the primary level is on a declining trend.
Table-5
Compound Growth Rate of Education Factors
|
S.N.
|
Item
|
Compound
Growth Rate %
|
|
1
|
Total public expenditure
|
15.88
|
|
2-
|
Education expenditure
|
14.61
|
|
3-
|
GER IN Primary level
|
4.57
|
|
4-
|
DOR Primary level
|
5.04
|
|
5-
|
GSDP
|
14.48
|
|
6-
|
Per capita education expenditure
|
12.2
|
Sources:
Finance department of Chhattisgarh 2017.
The
table 6 shows that education has the highest variance coefficient of 81.83 per
cent of the total public expenditure. As the variance coefficient increases,
more changes occur. The variance coefficient is as follows, 71.87 per cent on
total public expenditure, 26.17 per cent in total enrolment rate (GER) in
primary level school education, 67.92 per cent in SGDP, 69.40 per cent in per
capita education. The lowest Primary School Leaving (DOR) is 21.36%. It means
more stability and uniformity in growth.
Table-6
Coefficient of Variance of Education Factors
|
S.N.
|
Item
|
Coefficient
of Variance %
|
|
1
|
Total public expenditure
|
71.87
|
|
2-
|
Education expenditure
|
81.83
|
|
3-
|
GER IN Primary level
|
26.17
|
|
4-
|
DOR Primary level
|
21.38
|
|
5-
|
GSDP
|
67.92
|
|
6-
|
Per capita education expenditure
|
69.40
|
Sources:
Finance department of Chhattisgarh 2017.
The table
7 show correlation coefficient between total public expenditure and public
expenditure in education in the above table is + 0.918, which shows a high
degree of positive correlation. A correlation of + 0.706 between the Gross
Enrolment Rate (GER) indicates a mid-level relationship. The correlation
coefficient of - 0.877 among primary school dropout children (DOR) indicates a
high level of negative correlation. There is a high level of positive
correlation of + 0.999 between total public expenditure on education and
expenditure on education per capita and a high level of positive correlation of
+ 0.884 between education and GSDP.
Table-7
Correlation Coefficient between Education expenditure &
Education factors
|
S.N.
|
Item
|
CORELATION Coefficient
|
|
1
|
Total public expenditure& Education
expenditure
|
+0.918
|
|
2-
|
Education expenditure& GER
|
+0.706
|
|
3-
|
Education expenditure& DOR
|
-0.877
|
|
4-
|
Education expenditure& Per capita
education expenditure
|
+0.999
|
|
5-
|
Education expenditure& GSDP
|
+0.884
|
The table
8 correlation coefficient between total public expenditure and public
expenditure in education in the above table is + 0.918, which shows a high
degree of positive correlation. The correlation coefficient between total
public expenditure and the Gross Enrolment Rate (GER) in primary level school
education is + 0.896, indicating a high level of positive correlation. There is
a high level of negative correlation of - 0.970 between total public
expenditure and (DOR) out of school children. There is a high level of positive
correlation of + 0.908 between expenditure on education per capita and. There
is a high level of positive correlation of + 0.994 with GSDP.
Table -8
Correlation Coefficient between Total public
expenditure& Education factors
|
S.N.
|
Item
|
CORELATION
Coefficient
|
|
1-
|
Total public expenditure & Education
expenditure
|
+0.918
|
|
2-
|
Total public expenditure& GER
|
+0.896
|
|
3-
|
Total public expenditure & DOR
|
-0.970
|
|
4-
|
Total Public expenditure & Per capita
education expenditure
|
+0.908
|
|
5-
|
Total Public expenditure & GSDP
|
+0.994
|
Table 9
Regression Coefficient of Education Factors in
Chhattisgarh
(Education expenditure as a independent
variable)
|
S.N.
|
|
R
|
F
|
|
1-
|
(GER) in primary level
|
0-706
|
0-05
13-9
|
|
2-
|
(DOR) in primary level
|
0-877
|
0-05
46-5
|
|
3-
|
Per capita education expenditure
|
0-999
|
0-05
6395
|
Table 9 Assuming the total public expenditure on education as an independent
variable, the regression coefficient was calculated to find out its impact on
other components of education.
1) The
value of the regression coefficient (R) 0.706 and (F) between the total public
expenditure on education and the total enrolment rate (GER) in primary school
is 13.9. At the significance level of 95%, 0.05 < + 13.9, the null
hypothesis is rejected. GER has no effect on total public expenditure on
education.
2) The
value of the regression factor (R) 0.877 and (F) between the total public
expenditure on education and the number of primary school dropouts (DOR) is
46.5. 95% meaningfulness 0.05 < + 46.5 null hypothesis is rejected. There is
no effect of DOR on total public expenditure on education and primary school
dropout children whereas DOR has a meaningful impact.
3) The
value of the regression coefficient (R) 0.999 and (F) between total public
expenditure on education and expenditure on education per capita is 63.95. 95% is evident from 0.05 < + 63.95 at the
significance level The null hypothesis is rejected, there is no effect on total
public expenditure on education and expenditure on education per capita, while
it has a meaningful effect.
Table 10
Regression Coefficient of Education Factors
in Chhattisgarh
Total Public expenditure as an independent variable
|
S.N.
|
Item
|
R
|
F
|
|
1-
|
GER,Primary
level
|
0-896
|
0-05
57-0
|
|
2-
|
DOR,Primary
level
|
0-970
|
0-05
225
|
|
3-
|
Per
capita Education expenditure
|
0-908
|
0-05
65-6
|
1) The Table
10 show coefficient of regression (R) between total public expenditure and the
Gross Enrolment Rate (GER) in elementary level education is 0.896 and the value
of (F) is 57.0. With 95%meaningfulness 0.05 < + 57.0, it is clear that the
null hypothesis is rejected. Total public expenditure has no impact on the
Gross Enrolment Rate (GER) in primary level school education whereas GER has a
meaningful impact on public expenditure.
2) The
total public expenditure and the number of elementary school dropouts (DOR) has
a regression coefficient (R) of 0.970 and a value of (F) of 225. With 95%
meaningfulness 0.05 < + 225, it is clear that the null hypothesis is
rejected. Total public expenditure has no impact on DOR while it has a
meaningful impact.
3) The
regression coefficient (R) between total public expenditure and expenditure on
education per capita is 0.908 and the value of (F) is 65.6. With 95%
meaningfulness at 0.05 < + 65.6, it is clear that the null hypothesis is
rejected as having no meaningful effect on total public expenditure and per
capita education while it has a meaningful effect.
Conclusion:
It is
directly expected education is helps Positive Social change of citizen. The
result shows that total public expenditure and Education expenditure is highly
and statistically significant on economic growth indicator such as GER and DOR in
primary level in Chhattisgarh. Government should push more expenditure of
education. The study's findings show that public spending on education and
economic growth are correlated over the long term. Over time, there is a found
unidirectional causal relationship between public education spending and Gross
State Domestic Product (GSDP).
References:
1. Afonso, A. and Aubyn, M. St., (2004), Non-paramentric
Approaches to Education and Health Expenditure Efficiency in OECD countries,
ISEG Working paper, Lisboa.
2. Agrawal, Ranu, Brahme, Ravindra& Thakur,
Sameer, (2019), An
Analysis of Budgetary Expenditure on Education in Chhattisgarh State, The
Indian Economic Journal , PP. 136-139.
3. Chude, Nkiru, Patricia, (2013), Impact of
Government Expenditure on Economic Growth in Nigeria, European Center for
Research, Training and Development, UK, International Review, Vol. 1, No. 4, PP
64-71.
4. Churchill, SefaAwawogi And Siew Ling Yew,
(2015), Effects Of Government Education And Health Expenditure On Economic
Growth: A Data Analysis ; Greenwich Political Economy Research Centre,
University of Greenwich.
5. Gupta, A.K. (1988), Employment and Manpower
Planning in India, Manpower. Vol. XXIV No: 3, Oct-Dec.
6. Hansul, Gifari and Al, (2015), Government Expenditure
and Economic Growth in Malesia, INCEIF, LorongUniversity, Kuala Lumpur,
Malesia.
7. Hooda
, S.
(2013), Changing Pattern
of Public Expenditure
on Health in
India Issues and
Challenges ISID.
8. Kaur,
Balbeer and Mishra , Sangita, (2003),
Social Sector Expenditure and Attainment : An Analysis of Indian States,
Reserve Bank of India, Occasinal Papers,
Vol.- 24, No. -1 And 2.
9. Khan,
Nasir B.M. and
Mahesh, (2019), An
Empirical Analysis of
Government Expenditures on Health, Education,
Water and Sanitation
in India, Journal of
The Indian Economics
Association, PP.77-83.
10.
Mahapatra, Subhalaxmi, (2019), Public Health Expenditure and its Effects on
Health Out Comes: A New Methodological Approaches in The Indian Context, Great
Lakes Horald, Birla Global University, Bhubaneswar, Vol.- 13 , Issue number- 1,
PP. 1-20.
11.
Malathi, S. and Santhanalaksmi, S. (2017), A study on Public Expenditure on Health
Sector in India International Journal of innovative Science and Research Technology,
Volume-2, Issue-5, PP.443-450.
12.
Mathews, V.T. (1958), Pattern of Indian Expenditure, Ph.D. Thesis, Bombay
University.