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)

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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) 

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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)

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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)

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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

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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 April 2020, the International Labour Organisation (ILO) estimated that nearly 2.5 crore jobs could be lost worldwide due to the COVID-19 pandemic in 2020.  Further, it observed that more than 40 crore informal workers in India may get pushed into deeper poverty due to the pandemic.  In this blog post, we discuss the effect of COVID-19 on unemployment in urban areas as per the quarterly Periodic Labour Force Survey (PLFS) report released last week, and highlight some of the measures taken by the central government with regard to unemployment.

Methodology for estimating unemployment in PLFS reports

The National Statistics Office (NSO) released its latest quarterly PLFS report for the October-December 2020 quarter.  The PLFS reports give estimates of labour force indicators including Labour Force Participation Rate (LFPR), Unemployment Rate, and distribution of workers across industries.  The reports are released on a quarterly as well as annual basis.  The quarterly reports cover only urban areas whereas the annual report covers both urban and rural areas.  The latest annual report is available for the July 2019-June 2020 period.

The quarterly PLFS reports provide estimates based on the Current Weekly Activity Status (CWS).  The CWS of a person is the activity status obtained during a reference period of seven days preceding the date of the survey.  As per CWS status, a person is considered as unemployed in a week if he did not work even for at least one hour on any day during the reference week but sought or was available for work.  In contrast, the headline numbers on employment-unemployment in the annual PLFS reports are reported based on the usual activity status.  Usual activity status relates to the activity status of a person during the reference period of the last 365 days preceding the date of the survey.

Unemployment rate remains notably higher than the pre-COVID period 

To contain the spread of COVID-19, a nationwide lockdown was imposed from late March till May 2020.   During the lockdown, severe restrictions were placed on the movement of individuals and economic activities were significantly halted barring the activities related to essential goods and services.  Unemployment rate in urban areas rose to 20.9% during the April-June quarter of 2020, more than double the unemployment rate in the same quarter the previous year (8.9%).  Unemployment rate refers to the percentage of unemployed persons in the labour force.  Labour force includes persons who are either employed or unemployed but seeking work.  The lockdown restrictions were gradually relaxed during the subsequent months.   Unemployment rate also saw a decrease as compared to the levels seen in the April-June quarter of 2020.  During the October-December quarter of 2020 (latest data available), unemployment rate had reduced to 10.3%.  However, it was notably higher than the unemployment rate in the same quarter last year (7.9%).

Figure 1: Unemployment rate in urban areas across all age groups as per current weekly activity status (Figures in %)

 image

Note: PLFS includes data for transgenders among males.
Sources: Quarterly Periodic Labour Force Survey Reports, Ministry of Statistics and Program Implementation; PRS.

Recovery post-national lockdown uneven in case of females

Pre-COVID-19 trends suggest that the female unemployment rate has generally been higher than the male unemployment rate in the country (7.3% vs 9.8% during the October-December quarter of 2019, respectively).  Since the onset of the COVID-19 pandemic, this gap seems to have widened.   During the October-December quarter of 2020, the unemployment rate for females was 13.1%, as compared to 9.5% for males.

The Standing Committee on Labour (April 2021) also noted that the pandemic led to large-scale unemployment for female workers, in both organised and unorganised sectors.  It recommended: (i) increasing government procurement from women-led enterprises, (ii) training women in new technologies, (iii) providing women with access to capital, and (iv) investing in childcare and linked infrastructure.

Labour force participation

Persons dropping in and out of the labour force may also influence the unemployment rate.  At a given point of time, there may be persons who are below the legal working age or may drop out of the labour force due to various socio-economic reasons, for instance, to pursue education.  At the same time, there may also be discouraged workers who, while willing and able to be employed, have ceased to seek work.  Labour Force Participation Rate (LFPR) is the indicator that denotes the percentage of the population which is part of the labour force.  The LFPR saw only marginal changes throughout 2019 and 2020.  During the April-June quarter (where COVID-19 restrictions were the most stringent), the LFPR was 35.9%, which was lower than same in the corresponding quarter in 2019 (36.2%).  Note that female LFPR in India is significantly lower than male LFPR (16.6% and 56.7%, respectively, in the October-December quarter of 2019).

Figure 2: LFPR in urban areas across all groups as per current weekly activity status (Figures in %)

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Note: PLFS includes data for transgenders among males.
Sources: Quarterly Periodic Labour Force Survey Reports, Ministry of Statistics and Program Implementation; PRS.

Measures taken by the government for workers

The Standing Committee on Labour in its report released in August 2021 noted that 90% of workers in India are from the informal sector.  These workers include: (i) migrant workers, (ii) contract labourers, (iii) construction workers, and (iv) street vendors.  The Committee observed that these workers were worst impacted by the pandemic due to seasonality of employment and lack of employer-employee relationship in unorganised sectors.  The Committee recommended central and state governments to: (i) encourage entrepreneurial opportunities, (ii) attract investment in traditional manufacturing sectors and developing industrial clusters, (iii) strengthen social security measures, (iv) maintain a database of workers in the informal sector, and (v) promote vocational training.  It took note of the various steps taken by the central government to support workers and address the challenges and threats posed by the COVID-19 pandemic (applicable to urban areas): 

  • Under the Pradhan Mantri Garib Kalyan Yojana (PMGKY), the central government contributed both 12% employer’s share and 12% employee’s share under Employees Provident Fund (EPF).  Between March and August 2020, a total of Rs 2,567 crore was credited in EPF accounts of 38.85 lakhs eligible employees through 2.63 lakh establishments.
     
  • The Aatmanirbhar Bharat Rozgar Yojna (ABRY) Scheme was launched with effect from October 2020 to incentivise employers for the creation of new employment along with social security benefits and restoration of loss of employment during the COVID-19 pandemic.  Further, statutory provident fund contribution of both employers and employees was reduced to 10% each from the existing 12% for all establishments covered by EPF Organisation for three months.  As of June 30, 2021, an amount of Rs 950 crore has been disbursed under ABRY to around 22 lakh beneficiaries.
     
  • The unemployment benefit under the Atal Beemit Vyakti Kalyan Yojana (launched in July 2018) was enhanced from 25% to 50% of the average earning for insured workers who have lost employment due to COVID-19.
     
  • Under the Prime Minister’s Street Vendor’s Aatma Nirbhar Nidhi (PM SVANidhi) scheme, the central government provided an initial working capital of up to Rs 10,000 to street vendors.  As of June 28, 2021, 25 lakh loan applications have been sanctioned and Rs 2,130 crore disbursed to 21.57 lakh beneficiaries.

The central and state governments have also taken various other measures, such as increasing spending on infrastructure creation and enabling access to cheaper lending for businesses, to sustain economic activity and boost employment generation.