Recently, the Cabinet Committee on Economic Affairs approved an increase in the Minimum Support Prices (MSPs) for Kharif crops for the 2018-19 marketing season. Subsequently, the Commission for Agricultural Costs and Prices (CACP) released its price policy report for Kharif crops for the marketing season 2018-19.
The central government notifies MSPs based on the recommendations of the CACP. These recommendations are made separately for the Kharif marketing season (KMS) and the Rabi marketing season (RMS). Post harvesting, the government procures crops from farmers at the MSP notified for that season, in order to ensure remunerative prices to farmers for their produce.
In this blog post, we look at how MSPs are determined, changes brought in them over time, and their effectiveness for farmers across different states.
How are Minimum Support Prices determined?
The CACP considers various factors such as the cost of cultivation and production, productivity of crops, and market prices for the determination of MSPs. The National Commission on Farmers(Chair: Prof. M. S. Swaminathan) in 2006 had recommended that MSPs must be at least 50% more than the cost of production. In this year’s budget speech, the Finance Minister said that MSPs would be fixed at least at 50% more than the cost of production.
The CACP calculates cost of production at three levels: (i) A2, which includes cost of inputs such as seeds, fertilizer, labour; (ii) A2+FL, which includes the implied cost of family labour (FL); and (iii) C2, which includes the implied rent on land and interest on capital assets over and above A2+FL.
Table 1 shows the cost of production as calculated by the CACP and the approved MSPs for KMS 2018-19. For paddy (common), the MSP was increased from Rs 1,550/quintal in 2017-18 to Rs 1,750/quintal in 2018-19. This price would give a farmer a profit of 50.1% on the cost of production A2+FL. However, the profit calculated on the cost of production C2 would be 12.2%. It has been argued that the cost of production should be taken as C2 for calculating MSPs. In such a scenario, this would have increased the MSP to Rs 2,340/quintal, much above the current MSP of Rs 1,750/quintal.
Which are the major crops that are procured at MSPs?
Every year, MSPs are announced for 23 crops. However, public procurement is limited to a few crops such as paddy, wheat and, to a limited extent, pulses as shown in Figure 1.
The procurement is also limited to a few states. Three states which produce 49% of the national wheat output account for 93% of procurement. For paddy, six states with 40% production share have 77% share of the procurement. As a result, in these states, farmers focus on cultivating these crops over other crops such as pulses, oilseeds, and coarse grains.
Due to limitations on the procurement side (both crop-wise and state-wise), all farmers do not receive benefits of increase in MSPs. The CACP has noted in its 2018-19 price policy report that the inability of farmers to sell at MSPs is one of the key areas of concern. Farmers who are unable to sell their produce at MSPs have to sell it at market prices, which may be much lower than the MSPs.
How have MSPs for major crops changed over time?
Higher procurement of paddy and wheat, as compared to other crops at MSPs tilts the production cycle towards these crops. In order to balance this and encourage the production of pulses, there is a larger proportional increase in the MSPs of pulses over the years as seen in Figure 2. In addition to this, it is also used as a measure to encourage farmers to shift from water-intensive crops such as paddy and wheat to pulses, which relatively require less water for irrigation.
What is the effectiveness of MSPs across states?
The MSP fixed for each crop is uniform for the entire country. However, the production cost of crops vary across states. Figure 3 highlights the MSP of paddy and the variation in its cost of production across states in 2018-19.
For example, production cost for paddy at the A2+FL level is Rs 702/quintal in Punjab and Rs 2,102/quintal in Maharashtra. Due to this differentiation, while the MSP of Rs 1,750/quintal of paddy will result in a profit of 149% to a farmer in Punjab, it will result in a loss of 17% to a farmer in Maharashtra. Similarly, at the C2 level, the production cost for paddy is Rs 1,174/quintal in Punjab and Rs 2,481/quintal in Maharashtra. In this scenario, a farmer in Punjab may get 49% return, while his counterpart in Maharashtra may make a loss of 29%.
Figure 4 highlights the MSP of wheat and the variation in its cost of production across states in 2017-18. In the case of wheat, the cost of production in Maharashtra and West Bengal is much more than the cost in rest of the states. At the A2+FL level, the cost of production in West Bengal is Rs 1,777/quintal. This is significantly higher than in states like Haryana and Punjab, where the cost is Rs 736/quintal and Rs 642/quintal, respectively. In this case, while a wheat growing farmer suffers a loss of 2% in West Bengal, a farmer in Haryana makes a profit of 136%. The return in Punjab is even higher at 1.5 times or more the cost of production.
The National Education Policy (NEP) 2020 was released on July 30, 2020. It will replace the National Policy on Education, 1986. Key recommendations of the NEP include: (i) redesigning the structure of school curriculum to incorporate early childhood care and education, (ii) curtailing dropouts for ensuring universal access to education, (iii) increasing gross enrolment in higher education to 50% by 2035, and (iv) improving research in higher education institutes by setting up a Research Foundation. In this blog, we examine the current status of education in the country in view of some of these recommendations made by the NEP.
Universal access to Education
The NEP states that the Right to Education Act, 2009 has been successful in achieving near universal enrolment in elementary education, however retaining children remains a challenge for the schooling system. As of 2015-16, Gross Enrolment Ratio was 56.2% at senior secondary level as compared to 99.2% at primary level. GER denotes enrolment as a percent of the population of corresponding age group. Further, it noted that the decline in GER is higher for certain socio-economically disadvantaged groups, based on: (i) gender identities (female, transgender persons), (ii) socio-cultural identities (scheduled castes, scheduled tribes), (iii) geographical identities (students from small villages and small towns), (iv) socio-economic identities (migrant communities and low income households), and (v) disabilities. In the table below, we detail the GER in school education across: (i) gender, and (ii) socio-cultural identities.
Table 1: GER in school education for different gender and social groups (2015-16)
|
Level |
Male |
Female |
SC |
ST |
All |
|
Primary (I-V) |
97.9% |
100.7% |
110.9% |
106.7% |
99.2% |
|
Upper Primary (VI-VIII) |
88.7% |
97.6% |
102.4% |
96.7% |
92.8% |
|
Secondary (IX-X) |
79.2% |
81% |
85.3% |
74.5% |
80% |
|
Senior Secondary (XI-XII) |
56% |
56.4% |
56.8% |
43.1% |
56.2% |
Sources: Educational Statistics at Glance 2018, MHRD; PRS.
Data for all groups indicates decline in GER as we move from primary to senior secondary for all groups. This decline is particularly high in case of Scheduled Tribes. Further, we analyse the reason for dropping out from school education. Data suggests that the most prominent reason for dropping out was: engagement in domestic activities (for girls) and engagement in economic activities (for boys).
Table 2: Major reasons for dropping out (Class 1-12) for 2015-16
|
Reason for dropping out |
Male |
Female |
|
Child not interested in studies |
23.8% |
15.6% |
|
Financial Constraints |
23.7% |
15.2% |
|
Engage in Domestic Activities |
4.8% |
29.7% |
|
Engage in Economic Activities |
31.0% |
4.9% |
|
School is far off |
0.5% |
3.4% |
|
Unable to cop-up with studies |
5.4% |
4.6% |
|
Completed desired level/ Class |
5.7% |
6.5% |
|
Marriage |
|
13.9% |
|
Other reasons |
5.1% |
6.2% |
Note: Other reasons include: (i) timings of educational Institution not suitable, (ii) language/medium of Instruction used unfamiliar, (iii) inadequate number of teachers, (iv) quality of teachers not satisfactory, (v) unfriendly atmosphere at school. For girl students, other reasons also include: (i) non-availability of female teachers, (ii) non-availability of girl’s toilet.
Sources: Educational Statistics at Glance 2018, MHRD; PRS.
The NEP recommends strengthening of existing schemes and policies which are targeted for such socio-economically disadvantaged groups (for instance, schemes for free bicycles for girls or scholarships) to tackle dropouts. Further, it recommends setting up special education zones in areas with significant proportion of such disadvantaged groups. A gender inclusion fund should also be setup to assist female and transgender students in getting access to education.
Increasing GER in Higher Education to 50% by 2035
The NEP aims to increase the GER in higher education to 50% by 2035. As of 2018-19, the GER in higher education in the country stood at 26.3%. Figure 2 shows the trend of GER in higher education over the last few years. Note that the annual growth rate of GER in higher education in the last few years has been around 2%.
Figure 1: GER in Higher Education (2014-15 to 2018-19)
Sources: All India Survey on Higher Education, MHRD; PRS.
Table 3: Comparison of GER (higher education) with other countries
|
Country |
GER (2017-18) |
|
India |
25% |
|
Brazil |
51% |
|
China |
49% |
|
Indonesia |
36% |
|
South Africa |
22% |
|
Pakistan |
9% |
|
Germany |
70% |
|
France |
66% |
|
United Kingdom |
60% |
Sources: UNESCO; PRS.
The NEP recommends that for increasing GER, capacity of existing higher education institutes will have to be improved by restructuring and expanding existing institutes. It recommends that all institutes should aim to be large multidisciplinary institutes (with enrolments in thousands), and there should be one such institution in or near every district by 2030. Further, institutions should have the option to run open distance learning and online programmes to improve access to higher education.
Foundational literacy and numeracy
The NEP states that a large proportion of the students currently enrolled in elementary school have not attained foundational literacy and numeracy (the ability to read and understand basic text, and carry out basic addition and subtraction). It recommends that every child should attain foundational literacy and numeracy by grade three.
Table 4 highlights the results of the National Achievement Survey 2017 on the learning levels of students at Grade 3 in language and mathematics. The results of the survey suggest that only 57% students in Grade 3 are able to solve basic numeracy skills related to addition and subtraction.
Table 4: NAS results on learning level of Grade-3 students
|
Learning level (Grade 3) |
Percentage of students |
|
Ability to read small texts with comprehension (Language) |
68% |
|
Ability to read printed scripts on classroom walls such as poems, posters (Language) |
65% |
|
Solving simple daily life addition and subtraction problems with 3 digits (Mathematics) |
57% |
|
Analyses and applies the appropriate number operation in a situation (Mathematics) |
59% |
Sources: National Achievement Survey (2017) dashboard, NCERT; PRS.
To achieve universal foundational literacy and numeracy, the Policy recommends setting up a National Mission on Foundational Literacy and Numeracy under the MHRD. All state governments must prepare implementation plans to achieve these goals by 2025. A national repository of high-quality resources on foundational literacy and numeracy will be made available on government’s e-learning platform (DIKSHA). Other measures to be taken in this regard include: (i) filling teacher vacancies at the earliest, (ii) ensuring a pupil to teacher ratio of 30:1 for effective teaching, and (iii) training teachers to impart foundational literacy and numeracy.
Effective governance of schools
The Policy states that establishing primary schools in every habitation across the country has helped increase access to education. However, it has led to the development of schools with low number of students. The small size of schools makes it operationally and economically challenging to deploy teachers and critical physical resources (such as library books, sports equipment).
With respect to this observation, the distribution of schools by enrolment size can be seen in the table below. Note that, as of September 2016, more than 55% of primary schools in the country had an enrolment below 60 students.
Table 5: Distribution of schools by enrolment size
|
Strength (Grade) |
Below 30 |
31-60 |
61-90 |
91-120 |
121-150 |
151-200 |
More than 200 |
|
Primary schools (Class 1-5) |
28.0% |
27.5% |
16.0% |
10.3% |
6.3% |
5.6% |
6.4% |
|
Upper primary schools (Class 6-8) |
14.8% |
27.9% |
18.7% |
15.0% |
8.4% |
7.2% |
8.0% |
|
Upper primary schools (Class 1-8) |
5.7% |
11.6% |
13.0% |
12.1% |
10.4% |
13.4% |
33.8% |
Sources: Flash Statistics on School Education 2016-17, UDISE; PRS.
While nearly 80% primary schools had a library, only 1.5% schools had a librarian (as of September 2016). The availability of facilities is better in higher senior secondary schools as compared to primary or upper primary schools.
Table 6: Distribution of schools with access to physical facilities
|
Facilities |
Primary schools (Class 1-5) |
Upper primary schools (Class 1-8) |
Higher senior secondary |
|
Library |
79.8% |
88.0% |
94.4% |
|
Librarian |
1.5% |
4.5% |
34.4% |
|
Playground |
54.9% |
65.5% |
84.3% |
|
Functional computer |
4.4% |
25.2% |
46.0% |
|
Internet connection |
0.9% |
4.2% |
67.9% |
Sources: Flash Statistics on School Education 2016-17, UDISE; PRS.
To overcome the challenges associated with development of small schools, the NEP recommends grouping schools together to form a school complex. The school complex will consist of one secondary school and other schools, aanganwadis in a 5-10 km radius. This will ensure: (i) adequate number of teachers for all subjects in a school complex, (ii) adequate infrastructural resources, and (iii) effective governance of schools.
Restructuring of Higher Education Institutes
The NEP notes that the higher education ecosystem in the country is severely fragmented. The present complex nomenclature of higher education institutes (HEIs) in the country such as ‘deemed to be university’, ‘affiliating university’, ‘affiliating technical university', ‘unitary university’ shall be replaced simply by 'university'.
According to the All India Survey on Higher Education 2018-19, India has 993 universities, 39,931 colleges, and 10,725 stand-alone institutions (technical institutes such as polytechnics or teacher training institutes).
Table 7: Number of Universities in India according to different categories
|
Type of university |
Number of universities |
|
Central University |
46 |
|
Central Open University |
1 |
|
Institutes of National Importance |
127 |
|
State Public University |
371 |
|
Institution Under State Legislature Act |
5 |
|
State Open University |
14 |
|
State Private University |
304 |
|
State Private Open University |
1 |
|
Deemed University- Government |
34 |
|
Deemed University- Government Aided |
10 |
|
Deemed University- Private |
80 |
|
Total |
993 |
Sources: All India Survey on Higher Education 2018-19; PRS.
The NEP recommends that all HEIs should be restructured into three categories: (i) research universities focusing equally on research and teaching, (ii) teaching universities focusing primarily on teaching, and (iii) degree granting colleges primarily focused on undergraduate teaching. All such institutions will gradually move towards full autonomy - academic, administrative, and financial.
Setting up a National Research Foundation to boost research
The NEP states that investment on research and innovation in India, at only 0.69% of GDP, lags behind several other countries. India’s expenditure on research and development (R&D) in the last few years can be seen in the figure below. Note that the total investment on R&D in India as a proportion of GDP has been stagnant at around 0.7% of GDP. In 2018-19, the total expenditure on R&D in India was Rs 1,23,848 crore. Of this, Rs 72,732 crore (58%) of expenditure was by government, and the remaining (42%) was by private industry.
Figure 2: R&D Expenditure in India (2011-12 to 2018-19)
Sources: S&T Indicators Table 2019-20, Ministry of Science and Technology, March 2020; PRS.
Figure 3: Comparison of R&D expenditure in India with other countries (2017)
Sources: S&T Indicators Table 2019-20, Ministry of Science and Technology, March 2020; PRS.
To boost research, the NEP recommends setting up an independent National Research Foundation (NRF) for funding and facilitating quality research in India. The Foundation will act as a liaison between researchers and relevant branches of government as well as industry. Specialised institutions which currently fund research, such as the Department of Science and Technology, and the Indian Council of Medical Research, will continue to fund independent projects. The Foundation will collaborate with such agencies to avoid duplication.
Digital education
The NEP states that alternative modes of quality education should be developed when in-person education is not possible, as observed during the recent pandemic. Several interventions must be taken to ensure inclusive digital education such as: (i) developing two-way audio and video interfaces for holding online classes, and (ii) use of other channels such as television, radio, mass media in multiple languages to ensure reach of digital content where digital infrastructure is lacking.
In this context, we analyse: (i) the availability of computer and internet across households in India, and (ii) ability to use computer or internet by persons in the age group of 5-14. As of 2017-18, the access to internet and computer was relatively poor in rural areas. Only 4.4% of rural households have access to a computer (excludes smartphones), and nearly 15% have access to internet facility. Amongst urban households, 42% have access to internet.
Table 8: Access to Computer and Internet across households (2017-18)
|
Access to ICT |
Rural |
Urban |
Overall |
|
Households having computer |
4.4% |
23.4% |
10.7% |
|
Households having internet facility |
14.9% |
42.0% |
23.8% |
Note: Computer includes desktop, laptop, notebook, tablet. It does not include smartphone.
Sources: Household Social Consumption on Education (2017-18), Ministry of Statistics and Programme Implementation, July 2020; PRS.
Table 9: Ability to use Computer and Internet across persons in the age group 5-14 (2017-18)
|
Ability to use ICT |
Rural |
Urban |
Overall |
|
Ability to use computer |
5.1% |
21.3% |
9.1% |
|
Ability to use internet |
5.1% |
19.7% |
8.8% |
Note: Ability to use computer means to be able to carry out any of the tasks such as: (i) copying or moving a file/folder, (ii) sending emails, (iii) transferring files between a computer and other devices, among others. Ability to use internet means to be able to use the internet browser for website navigation, using e-mail or social networking applications.
Sources: Household Social Consumption on Education (2017-18), Ministry of Statistics and Programme Implementation, July 2020; PRS.
Public spending on education to be increased to 6% of GDP
The recommendation of increasing public spending on Education to 6% of GDP was first made by the National Policy on Education 1968 and reiterated by the 1986 Policy. NEP 2020 reaffirms the recommendation of increasing public spending on education to 6% of GDP. In 2017-18, the public spending on education (includes spending by centre and states) was budgeted at 4.43% of GDP.
Table 10: Public spending on Education (2013-2018)
|
Year |
Public expenditure (Rs crore) |
% of GDP |
|
2013-14 |
4,30,879 |
3.84% |
|
2014-15 |
5,06,849 |
4.07% |
|
2015-16 |
5,77,793 |
4.20% |
|
2016-17 |
6,64,265 |
4.32% |
|
2017-18 |
7,56,945 |
4.43% |
Sources: 312th Report, Standing Committee on Human Resource Development, March 2020; PRS.
Figure 4: Comparison of public spending on Education in India with other countries as % of GDP (2015)
Sources: Educational Statistics at Glance 2018, MHRD; PRS.
In the figure below, we look at the disparities within states in education spending. In 2020-21, states in India have allocated 15.7% of their budgeted expenditure towards education. States such as Delhi, Rajasthan, and Maharashtra have allocated more than 18% of their expenditure on Education for the year 2020-21. On the other hand, Telangana (7.4%), Andhra Pradesh (12.1%) and Punjab (12.3%) lack in spending on education, as compared to the average of states.
Figure 5: Budgeted allocation on Education (2020-21) by states in India
Note: AP is Andhra Pradesh, UP is Uttar Pradesh, HP is Himachal Pradesh and WB is West Bengal.
Sources: Analysis of various state budget documents; PRS.
For a detailed summary of the National Education Policy, see here.
