Recently, the government announced that it plans to transfer benefits under various schemes directly into the bank accounts of individual beneficiaries. Benefits can be the Mahatma Gandhi National Rural Employment Guarantee Scheme (MNREGS) wages, scholarships, pensions and health benefits. Beneficiaries shall be identified through the Aadhaar number (Aadhaar is an individual identification number linked to a person’s demographic and biometric information). The direct cash transfer (DCT) system is going to be rolled out in 51 districts, starting January 1, 2013. It will later be extended to 18 states by April 1, 2013 and the rest by April 1, 2014 (or earlier). Presently, 34 schemes have been identified in 43 districts to implement the DCT programme. Currently, the government subsidises certain products (food grains, fertilizers, water, electricity) and services (education, healthcare) by providing them at a lower than market price to the beneficiaries. This has led to problems such as high fiscal deficit, waste of scarce resources and operational inefficiencies. The government is considering replacing this with an Aadhaar enabled DCT system. It has claimed that the new system would ensure timely payment directly to intended beneficiaries, reduce transaction costs and leakages. However, many experts have criticised both the concept of cash transfer as well as Aadhaar (see here, here, here and here). In this blog, we provide some background information about cash transfer, explain the concept of Aadhaar and examine the pros and cons of an Aadhaar enabled direct cash transfer system. Background on cash transfer Under the direct cash transfer (DCT) scheme, government subsidies will be given directly to the beneficiaries in the form of cash rather than goods. DCTs can either be unconditional or conditional. Under unconditional schemes, cash is directly transferred to eligible households with no conditions. For example, pension schemes. Conditional cash transfers provide cash directly to poor households in response to the fulfillment of certain conditions such as minimum attendance of children in schools. DCTs provide poor families the choice of using the cash as they wish. Having access to cash also relieves some of their financial constraints. Also, DCTs are simpler in design than other subsidy schemes. Even though cash transfer schemes have a high fixed cost of administration when the programme is set up, running costs are far lower (see here, here and here). Presently, the government operates a number of DCT schemes. For example, Janani Suraksha Yojana, Indira Awas Yojana and Dhanalaksmi scheme. In his 2011-12 Budget speech, the then Finance Minister, Pranab Mukherjee, had stated that the government plans to move towards direct transfer of cash subsidy for kerosene, Liquified Petroleum Gas (LPG), and fertilizers. A task force headed by Nandan Nilekani was set up to work out the modalities of operationalising DCT for these items. This task force submitted its report in February 2012. The National Food Security Bill, 2011, pending in Parliament, includes cash transfer and food coupons as possible alternative mechanisms to the Public Distribution System. Key features of Aadhaar The office of Unique Identification Authority of India (UIDAI) was set up in 2009 within the Planning Commission. In 2010, the government later introduced the National Identification Authority of India Bill in Parliament to give statutory status to this office.
For a PRS analysis of the Bill, see here. Aadhaar enabled direct cash transfers Advantages Identification through Aadhaar number: Currently, the recipient has to establish his identity and eligibility many times by producing multiple documents for verification. The verification of such documents is done by multiple authorities. An Aadhaar enabled bank account can be used by the beneficiary to receive multiple welfare payments as opposed to the one scheme, one bank approach, followed by a number of state governments. Elimination of middlemen: The scheme reduces chances of rent-seeking by middlemen who siphon off part of the subsidy. In the new system, the cash shall be transferred directly to individual bank accounts and the beneficiaries shall be identified through Aadhaar. Reduction in duplicate and ghost beneficiaries: The Aadhaar number is likely to help eliminate duplicate cards and cards for non-existent persons or ghost beneficiaries in schemes such as the PDS and MNREGS. Disadvantages Lack of clarity on whether Aadhaar is mandatory: According to UIDAI, it is not mandatory for individuals to get an Aadhaar number. However, it does not prevent any service provider from prescribing Aadhaar as a mandatory requirement for availing services. Therefore, beneficiaries may be denied a service if he does not have the Aadhaar number. It is noteworthy that the new direct cash transfer policy requires beneficiaries to have an Aadhaar number and a bank account. However, many beneficiaries do not yet have either. (Presently, there are 229 million Aadhaar number holders and 147 million bank accounts). Targeting and identification of beneficiaries: According to the government, one of the key reasons for changing to DCT system is to ensure better targeting of subsidies. However, the success of Aadhaar in weeding out ‘ghost’ beneficiaries depends on mandatory enrollment. If enrollment is not mandatory, both authentication systems (identity card based and Aadhaar based) must coexist. In such a scenario, ‘ghost’ beneficiaries and people with multiple cards will choose to opt out of the Aadhaar system. Furthermore, key schemes such as PDS suffer from large inclusion and exclusion errors. However, Aadhaar cannot address errors in targeting of BPL families. Also, it cannot address problems of MNREGS such as incorrect measurement of work and payment delays. Safeguard for maintaining privacy: Information collected when issuing Aadhaar may be misused if safeguards to maintain privacy are inadequate. Though the Supreme Court has included privacy as part of the Right to Life, India does not have a specific law governing issues related to privacy. Also, the authority is required to maintain details of every request for authentication and the response provided. However, maximum duration for which such data has to be stored is not specified. Authentication data provides insights into usage patterns of an Aadhaar number holder. Data that has been recorded over a long duration of time may be misused for activities such as profiling an individual’s behaviour.
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.
