Latest in the string of litigations filed after the enactment of the Right of Children to Free and Compulsory Education Act, 2009 (RTE Act), the Delhi High Court ruled that the Act shall not apply to nursery admissions in unaided private schools for the unreserved category of students. The decision, given on February 19, was in response to writ petitions filed by Social Jurist, a civil rights group and the Delhi Commission for the Protection of Child Rights. It contended that the guidelines of the Ministry of Human Resource Development related to schools’ selection procedure should also be applicable to pre-primary and pre-school classes. The right to education is applicable to children between the age of 6 and 14 years. The RTE Act states that schools have to reserve certain proportion of their seats for disadvantaged groups. It adds that where the school admits children at pre-primary level, the reservation for children of weaker sections shall apply. However, it does not mention whether other RTE norms are applicable to pre-schools. It only states that the appropriate government may make necessary arrangements for providing pre-school education to children between the age of 3 and 6 years. Guidelines of the Ministry with regard to selection procedure of students:
The two issues that the court considered were: (a) whether RTE applies to pre-schools including nursery schools and for education of children below six years of age; (b) whether RTE applies to the admission of children in pre-schools in respect of the unreserved seats (25% of seats are reserved for children belonging to disadvantaged groups). According to the verdict, the guidelines issued by the government do not apply to the unreserved category of students i.e. 75% of the admission made in pre-schools in private unaided schools. This implies that private unaided schools may formulate their own policies regarding admission in pre-schools for the unreserved category of students. However, they apply to the reserved category of students i.e. 25% of the admission s made in these schools for disadvantaged groups. The court has however stated that in its view this is the right time for the government to consider the applicability of RTE Act to the nursery classes too. In most schools, students are admitted from nursery and they continue in the same school thereafter. Therefore, the RTE Act’s prohibition of screening at the time of selection is rendered meaningless if it is not applicable at the nursery level.
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.
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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. |
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 %)
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 %)
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):
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.
