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Yesterday, Parliament passed a Bill to increase the number of judges in the Supreme Court from 30 to 33 (excluding the Chief Justice of India).  The Bill was introduced in view of increasing pendency of cases in the Supreme Court.  In 2012, the Supreme Court approved the Scheme of National Court Management System to provide a framework for case management.  The scheme estimated that with an increase in literacy, per capita income, and population, the number of new cases filed each year may go up to 15 crore over the next three decades, which will require at least 75,000 judges.  In this blog, we analyse the pendency of cases at all three levels of courts, i.e. the Supreme Court, the Highs Courts, and the subordinate courts, and discuss the capacity of these courts to dispose of cases.

Pendency in courts has increased over the years; 87% of all pending cases are in subordinate courts

Sources:  Court News, 2006, Supreme Court of India; National Data Judicial Grid accessed on August 7, 2019; PRS.

Overall, the pendency of cases has increased significantly at every level of the judicial hierarchy in the last decade.  Between 2006 and now, there has been an overall increase of 22% (64 lakh cases) in the pendency of cases across all courts.  As of August 2019, there are over 3.5 crore cases pending across the Supreme Court, the High Courts, and the subordinate courts.  Of these, subordinate courts account for over 87.3% pendency of cases, followed by 12.5% pendency before the 24 High Courts.  The remaining 0.2% of cases are pending with the Supreme Court.  The primary reason for growing pendency of cases is that the number of new cases filed every year has outpaced the number of disposed of cases.  This has resulted in a growing backlog of cases.

In High Courts and subordinate courts, over 32 lakh cases pending for over 10 years

 

 

 

 

 

 

 

Sources:  National Data Judicial Grid accessed on August 7, 2019; Court News, 2006-17, Supreme Court of India; PRS.

In the High Courts, over 8.3 lakh cases have been pending for over 10 years.  This constitutes 19% of all pending High Court cases.  Similarly, in the subordinate courts, over 24 lakh cases (8%) have been pending for over 10 years.  Overall, Allahabad High Court had the highest pendency, with over seven lakh cases pending as of 2017.

Despite high pendency, some High Courts have managed to reduce their backlog.  Between 2006 and 2017, pendency of cases reduced the most in Madras High Court at a rate of 26%, followed by Bombay High Court at 24%.  Conversely, during the same period, the pendency of cases doubled in the Andhra Pradesh High Court, and increased by 2.5 times in Karnataka High Court.

As a result of pendency, number of under-trials in prison is more than double that of convicts

Sources:  Prison Statistics in India, 2015, National Crime Record Bureau; PRS.

Over the years, as a result of growing pendency of cases for long periods, the number of undertrials (accused awaiting trial) in prisons has increased.  Prisons are running at an over-capacity of 114%.  As of 2015, there were over four lakh prisoners in jails.  Of these, two-thirds were undertrials (2.8 lakh) and the remaining one-third were convicts. 

The highest proportion of undertrials (where the number of inmates was at least over 1,000) were in J&K (85%), followed by Bihar (82%).  A total of 3,599 undertrials were detained in jails for more than five years.  Uttar Pradesh had the highest number of such undertrials (1,364) followed by West Bengal (294). 

One interesting factor to note is that more criminal cases are filed in subordinate courts than in High Courts and Supreme Court.  Of the cases pending in the subordinate courts (which constitute 87% of all pending cases), 70% of cases were related to criminal matters.  This increase in the pendency of cases for long periods over the years may have directly resulted in an increase in the number of undertrials in prisons.  In a statement last year, the Chief Justice of India commented that the accused in criminal cases are getting heard after serving out their sentence.

Vacancies in High Courts and Subordinate Courts affect the disposal of cases

Sources:  Court News, 2006-17, Supreme Court of India; PRS.

Vacancy of judges across courts in India has affected the functioning of the judiciary, particularly in relation to the disposal of cases.  Between 2006 and 2017, the number of vacancies in the High Courts has increased from 16% to 37%, and in the subordinate courts from 19% to 25%.  As of 2017, High Courts have 403 vacancies against a sanctioned strength of 1,079 judges, and subordinate courts have 5,676 vacancies against a sanctioned strength of 22,704 judges.  As of 2017, among the major High Courts (with sanctioned strength over 10 judges), the highest proportion of vacancies was in Karnataka High Court at 60% (37 vacancies), followed by Calcutta High Court at 54% (39 vacancies).  Similarly, in major subordinate courts (with sanctioned strength over 100 judges), the highest proportion of vacancies was in Bihar High Court at 46% (835 vacancies), followed by Uttar Pradesh High Court at 42% (1,348 vacancies).

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)

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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

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