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)

image                                                                                                     

 

 

 

 

 

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
 schools (Class 1-12)

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) 

image     

 

 

 

 

 

 

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)

image

 

 

 

 

 

 

 

 

 

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)

image

 

 

 

 

 

 

 

 

 

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

image

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

In the last decade, the government has implemented several schemes to address issues related to urbanisation and aid the process of urban development.  One of the schemes is the Smart Cities Mission, which intends to take advantage of the developments in information technology in developing the urban development strategy, across 100 cities.  Last week the government announced the list of 9 new Smart Cities, taking the total to 99.  In light of this, we look at the Smart Cities Mission and a few issues with it.

What is a Smart City?

The primary objective of the Mission is to develop cities that provide core infrastructure and give a decent quality of life to its citizens, a clean and sustainable environment, and apply ‘smart’ solutions.

However, the Mission document does not provide one definition of a Smart City.  Instead it allows cities to come up with their own solutions of what they identify as a Smart City.  The guidelines suggest that the core infrastructure elements in a Smart City will include: (i) adequate water supply, (ii) assured electricity supply, (iii) sanitation, including solid waste management, (iv) efficient urban mobility and public transport, (v) affordable housing, (vi) robust IT connectivity, and (vii) good governance.  ‘Smart’ solutions may include (i) energy efficient buildings, (ii) electronic service delivery, (iii) intelligent traffic management, (iv) smart metering, (v) citizen engagement, etc.

How were the Smart Cities selected?

The Mission was introduced in the form of a competition, called the Smart City challenge.  The first stage was in July 2015 when states nominated their cities for the competition.  In August 2015, the Ministry of Urban Development selected 100 of those cities to participate in the competition.  These cities were required to develop their smart city plans (SCPs) and compete against each other.  The SCPs were evaluated on the basis of the solutions, the processes followed, the feasibility and cost effectiveness of the plans, and citizen engagement.  Over the last 2 years, the Ministry has announced winner cities in batches.  So far, 99 cities have been selected under the Mission.

What information do these SCPs contain?

The cities had to prepare their SCPs with two primary strategic components: (i) area-based development, and (ii) pan-city development.  The area-based development would cover a particular area of the city, and could have either a redevelopment model, or be a completely new development.  Pan-city development would envisage application of certain smart solutions across the city to the existing infrastructure.

Each city had to formulate its own concept, vision, mission and plan for a Smart City that was appropriate to its local context and resources.  The Ministry of Urban Development provided technical assistance, through consultancy firms, to cities for helping them prepare these strategic documents.

How will the Mission be implemented?

The Mission will be implemented at the city level by a Special Purpose Vehicle (SPV).  The SPV will plan, approve, release funds, implement, manage, monitor, and evaluate the Smart City development projects.

The SPV will be a limited company incorporated under the Companies Act, 2013 at the city-level.  It will be chaired by the Collector/ Municipal Commissioner of the Urban Development Authority.  The respective state and the Urban Local Body (ULB or municipality) will be the promoters in this company having 50:50 equity shareholding.

How are the Plans getting financed?

The Mission will be operated as a Centrally Sponsored Scheme.  The central government will provide financial support of up to Rs 48,000 crore over five years, that is, an average of Rs 500 crore per city.  The states and ULBs will have to contribute an equal amount.  The central government allocated Rs 4,000 crore towards the Mission in the 2017-18 budget.

Since funding from the government will meet only a part of the funding required, the rest will have to be raised from other sources including: (i) states/ ULBs own resources from collection of user fees, land monetization, etc., (ii) innovative finance mechanisms such as municipal bonds, (iii) leverage borrowings from financial institutions (such as banks), and (iv) the private sector through Public Private Partnerships (PPPs).

The total cost of projects proposed under the various SCPs of the 90 winner cities is Rs 1.9 lakh crore.  About 42% of this amount will come from central and state funding, 23% through private investments and PPPs, and 19% through convergence with other schemes (such as HRIDAY, AMRUT, Swachh Bharat-Urban).  The remaining will be generated by the cities through the levy of local taxes, and user fees.

What are some of the issues to consider?

Financial capacity of cities:  Under the Mission, cities have to generate additional revenue through various sources including market borrowings, PPPs, and land monetization.  The High Powered Expert Committee on Indian Urban Infrastructure and Services (HPEC) had observed that ULBs in India are among the weakest in the world, both in terms of capacity to raise resources and financial autonomy.  Even though ULBs have been getting higher allocations from the centre and states, and tax devolution to them has increased, their own tax bases are narrow.  Further, owing to their poor governance and financial situation, ULBs find it difficult to access external financing.

Such a situation may pose problems when implementing the Mission, where the ULBs have to raise a significant share of the revenue through external sources (PPPs, market borrowings).  For example, the Bhubaneswar Smart City Plan has a total project cost of Rs 4,537 crore (over five years), while the city’s annual budget for 2014-15 was Rs 469 crore.

In order to improve the finances of the ULBs, committees have made various recommendations, which include:

  • State governments make legislative changes to give more taxation powers and autonomy to ULBs for improving their revenue collections.
  • ULBs could raise their own revenue by tapping into land-based financing sources, and introducing reforms to strengthen non-tax revenues (such as water and sewerage charges, parking fees, etc.).
  • Municipal bonds may also be used as a source of revenue for ULBs.

The government has recently introduced a few policies and mechanisms to address municipal financing.  Examples include value capture financing through public investments in infrastructure projects, and a credit rating system for cities.  In June 2017, the Pune Municipal Corporation raised Rs 200 crore by issuing municipal bonds.

Technical capacity of the ULBs:  The Smart Cities Mission seeks to empower ULBs to raise their own revenue, and also lays emphasis on the capacity building of ULBs.  The HPEC had observed that municipal administration has suffered due to: (i) presence of untrained and unskilled manpower, and (ii) shortage of qualified technical staff and managerial supervisors.  It had recommended improving the technical capacity of ULBs by providing technical assistance to state governments, and ULBs in planning, financing, monitoring, and operation of urban programmes.  The central government had allocated Rs 10.5 crore towards the capacity building component of the Mission in 2017-18.

The Ministry of Urban Development has been running several programmes to improve capacity of ULBs.  This includes MoUs with 18 states to conduct training programmes for their ULB staff.

Coverage of the Mission:  The Mission covers 100 cities, of which 99 have been announced as winners so far.   The urban population that will be impacted through the Mission is around 96 million (data for 90 cities excluding the recently announced 9 cities).

As per Census 2011, India’s urban population was 377 million.  The Mission impacts about 25% of this population.  Further, most of the SCPs approved so far focus on area-based development, thus affecting a particular area of the cities.  About 80% of the total project cost proposed is towards this model of development.  In each city, this area-based development will cover up to 50 acres of area.  The remaining 20% of the project cost is towards pan-city development proposals, which provide smart planning solutions for the entire city.  It may be argued that even within the selected cities, the Mission will only impact few selected areas, and not necessarily help with development of the entire city.