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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.
The increasing Non-Performing Assets (NPAs) in the Indian banking sector has recently been the subject of much discussion and scrutiny. Yesterday, the Supreme Court struck down a circular dated February 12, 2018 issued by the Reserve Bank of India (RBI). The RBI circular laid down a revised framework for the resolution of stressed assets. In this blog, we examine the extent of NPAs in India, and recent events leading up to the Supreme Court judgement.
What is the extent and effect of the NPA problem in India?
Banks give loans and advances to borrowers. Based on the performance of the loan, it may be categorised as: (i) a standard asset (a loan where the borrower is making regular repayments), or (ii) a non-performing asset. NPAs are loans and advances where the borrower has stopped making interest or principal repayments for over 90 days.
As of 2018, the total NPAs in the economy stand at Rs 9.6 lakh crore. About 88% of these NPAs are from loans and advances of public sector banks. Banks are required to lend a certain percentage of their loans to priority sectors. These sectors are identified by the RBI and include agriculture, housing, education and small scale industries.[1] In 2018, of the total NPAs, 22% were from priority sector loans, and 78% were from non-priority sector loans.
In the last few years, gross NPAs of banks (as a percentage of total loans) have increased from 2.3% of total loans in 2008 to 9.3% in 2017 (see Figure 1). This indicates that an increasing proportion of a bank’s assets have ceased to generate income for the bank, lowering the bank’s profitability and its ability to grant further credit.
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Figure 1: Gross NPAs (% of total loans)
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Source: Reserve Bank of India; PRS |
What has been done to address the problem of growing NPAs?
The measures taken to resolve and prevent NPAs can broadly be classified into two kinds – first, remedial measures for banks prescribed by the RBI for internal restructuring of stressed assets, and second, legislative means of resolving NPAs under various laws (like the Insolvency and Bankruptcy Code, 2016).
Remedial Measures
Over the years, the RBI has issued various guidelines for banks aimed at the resolution of stressed assets in the economy. These included introduction of certain schemes such as: (i) Strategic Debt Restructuring (which allowed banks to change the management of the defaulting company), and (ii) Joint Lenders’ Forum (where lenders evolved a resolution plan and voted on its implementation). A summary of the various schemes implemented by the RBI is provided in Table 1.
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Table 1: Non-legislative loan recovery framework
Sources: RBI scheme guidelines; Economic Survey 2016-17; PRS. |
Legislative Measures
In June 2017, an internal advisory committee of RBI identified 500 defaulters with the highest value of NPAs.[8] The committee recommended that 12 largest non-performing accounts, each with outstanding amounts greater than Rs 5,000 crore and totalling 25% of the NPAs of the economy, be referred for resolution under the IBC immediately. Proceedings against the 12 largest defaulters have been initiated under the IBC.
What was the February 12 circular issued by the RBI?
Subsequent to the enactment of the IBC, the RBI put in place a framework for restructuring of stressed assets of over Rs 2,000 crore on or after March 1, 2018. The resolution plan for such restructuring must be unanimously approved by all lenders and implemented within 180 days from the date of the first default. If the plan is not implemented within the stipulated time period, the stressed assets are required to be referred to the NCLT under IBC within 15 days. Further, the framework introduced a provision for early identification and categorisation of stressed assets before they are classified as NPAs.
On what grounds was the RBI circular challenged?
Borrowers whose loans were tagged as NPAs before the release of the circular recently crossed the 180-day deadline for internal resolution by banks. Some of these borrowers, including various power producers and sugar mills, had appealed against the RBI circular in various High Courts. A two-judge bench of the Allahabad High Court ruled in favour of the RBI’s powers to issue these guidelines, and refused to grant interim relief to power producers from being taken to the NCLT for bankruptcy. These batch of petitions against the circular were transferred to the Supreme Court, which issued an order in September 2018 to maintain status quo on the same.
What did the Supreme Court order?
The Court held the circular issued by RBI was outside the scope of the power given to it under Article 35AA of the Banking Regulation (Amendment) Act, 2017. The Court reasoned that Section 35AA was proposed by the 2017 Act to authorise the RBI to issues directions only in relation to specific cases of default by specific debtors. It held that the RBI circular issued directions in relation to debtors in general and this was outside their scope of power. The court also held that consequently all IBC proceedings initiated under the RBI circular are quashed.
During the proceedings, various companies argued that the RBI circular applies to all corporate debtors alike, without looking into each individual’s sectors problems and attempting to solve them. For instance, several power companies provided sector specific reasons for delay in payment of bank dues. The reasons included: (i) cancellation of coal blocks by the SC leading to non-availability of fuel, (ii) lack of enough power purchase agreements by states, (iii) non-payment of dues by DISCOMs, and (iv) delays in project implementation leading to cost overruns. Note that, in its 40th report, the Parliamentary Standing Committee on Energy analysed the impact of the RBI circular on the power sector and noted that the ‘one size fits all’ approach of the RBI is erroneous.
[1] ‘Priority Sector Lending – Targets and Classification’ Reserve Bank of India, July 2012, https://rbi.org.in/scripts/NotificationUser.aspx?Id=7460&Mode=0.
[2] Revised Guidelines on Corporate Debt Restructuring Mechanism, Reserve Bank of India, https://www.rbi.org.in/upload/notification/pdfs/67158.pdf.
[3] ‘Framework for Revitalising Distressed Assets in the Economy – Guidelines on Joint Lenders’ Forum (JLF) and Corrective Action Plan (CAP)’, Reserve Bank of India, February 26, 2016, https://www.rbi.org.in/scripts/NotificationUser.aspx?Id=8754&Mode=0.
[4] Timelines for Stressed Assets, Press Release, Reserve Bank of India, May 5, 2017, https://www.rbi.org.in/Scripts/NotificationUser.aspx?Id=10957&Mode=0.
[5] Flexible Structuring of Long Term Project Loans to Infrastructure and Core Industries, RBI, July 15, 2014, https://www.rbi.org.in/scripts/NotificationUser.aspx?Id=9101&Mode=0.
[6] Chapter 4, The Economic Survey 2016-17, http://unionbudget.nic.in/es2016-17/echap04.pdf.
[7] ‘RBI introduces a ‘Scheme for Sustainable Structuring of Stressed Assets’’ Press Release, Reserve Bank of India, June 13, 2016, https://www.rbi.org.in/Scripts/BS_PressReleaseDisplay.aspx?prid=37210.
[8] RBI identifies Accounts for Reference by Banks under the Insolvency and Bankruptcy Code (IBC), Reserve Bank of India, June 13, 2017, https://www.rbi.org.in/scripts/BS_PressReleaseDisplay.aspx?prid=40743
