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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.
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).
