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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.
Recently, the Supreme Court collegium reiterated its recommendations for the appointment of 11 judges to certain High Courts. It had first recommended these names earlier this year and in August last year, but these appointments were not made. The Indian judiciary faces high vacancies across all levels (the Supreme Court, High Courts, and subordinate courts). Vacancy of judges in courts is one of the reasons for delays and a rising number of pending cases, as there are not enough judges to hear and decide cases. As of today, more than four crore cases are pending across all courts in India. In this blog post, we discuss vacancies across courts over the years, delays in appointment of judges, and methods to determine the adequate judge strength required to handle the caseload courts face.
High vacancy of judges across courts
Vacancies in courts keep on arising periodically due to retirement, resignation, demise, or elevation of judges. Over the years, the sanctioned strength of judges in both High Courts and subordinate courts has been increased gradually. However, vacancies persist due to insufficient appointments (see Figures 1 and 2). Between 2010 and 2020, vacancies increased from 18% to 21% across all levels of courts (from 6% to 12% in the Supreme Court, from 33% to 38% in High Courts, and from 18% to 20% in subordinate courts).
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Figure 1: Vacancy of judges in High Courts |
Figure 2: Vacancy of judges in subordinate courts |
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Sources: Court News 2010-2018; Vacancy Statement, and Rajya Sabha replies, Part I, Budget Session (2021), Department of Justice; PRS. |
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As on November 1, 2021, the Supreme Court had a vacancy of one judge (out of a sanctioned strength of 34). Vacancy in High Courts stood at 37% (406 posts vacant out of a sanctioned strength of 1,098). Since May, 2021, the Supreme Court collegium has recommended more than 130 names for appointment as High Court judges. In three High Courts (Telangana, Patna, and Calcutta), at least half of the posts are vacant (see Figure 3). The Standing Committee on Personnel, Public Grievances, Law and Justice (2020) noted that every year, 35-40% of posts of High Court judges remain unfilled.
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Figure 3: Vacancy of judges across High Courts (in %) (as on November 1, 2021)
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Source: Vacancy Statement, Department of Justice; PRS. |
Appointments of High Court judges are guided by a memorandum of procedure. As per this memorandum, the appointment process is to be initiated by the concerned High Court at least six months before a vacancy occurs. However, the Standing Committee (2021) noted that this timeline is rarely adhered to by High Courts. Further, in the final stage of the process, after receiving recommendations from the Supreme Court collegium, the executive appoints judges to the High Court. No timeline is prescribed for this stage of the appointment process. In 2018 and 2019, the average time taken to appoint High Court judges after receiving the collegium’s recommendations was five to seven months.
As of today, over 3.6 crore cases are pending before subordinate courts in India. As on February 20, 2020, 21% posts for judges were vacant (5,146 posts out of the sanctioned strength of 24,018) in subordinate courts. Subordinate courts in Bihar, Haryana, and Jharkhand (among the states with high population) had a high proportion of vacancies of judges (see Figure 4). Note that the Supreme Court is monitoring the procedure for appointment of judges to subordinate courts.
For an analysis of the data on pendency and vacancies in the Indian judiciary, see here.
Figure 4: Vacancy of judges across subordinate courts (in %) (as on February 20, 2020)
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Source: Report No. 101, Standing Committee on Personnel, Public Grievances, Law and Justice (2020); PRS. |
How many judges do we need?
The Law Commission of India (1987) had noted the importance of manpower planning for the judiciary. Lack of adequate number of judges means a greater workload per judge. Thus, it becomes essential to arrive at an optimal judge strength to deal with pending and new cases in courts. Over the years, different methods of calculating the required judge strength for subordinate courts (where the backlog of cases in the Indian judiciary is concentrated) have been recommended (see Table 1).
Table 1: Methods recommended for calculating the required number of judges for subordinate courts
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Method of calculation |
Recommendation and its status |
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Judge-to-population ratio: optimum number of judges per million population |
The Law Commission of India (1987) had recommended increasing this ratio to 50 judges per million people. This was reiterated by the Supreme Court (2001) and the Standing Committee on Home Affairs (2002). For 2020, the judge-to-population ratio was 21 judges per million population. Note that this figure is calculated based on the sanctioned strength of judges in the Supreme Court, High Courts and subordinate courts. |
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Rate of disposal: number of additional judges required (to clear the existing backlog of cases and ensure that new backlog is not created) based on the average number of cases disposed per judge |
The Law Commission of India (2014) proposed this method. It rejected the judge-to-population ratio method, observing that filing of cases per capita varies substantially across geographic units depending on socio-economic conditions. |
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Weighted case load method: calculating judge strength based on the disposal by judges, taking into account the nature and complexity of cases in local conditions |
The National Court Management Systems Committee (NCMS) (2016) critiqued the rate of disposal method. It proposed, as an interim measure, the weighted case load method, which addresses the existing backlog of cases as well as the new flow of cases every year in subordinate courts. In 2017, the Supreme Court accepted this model. |
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Time-based weighted case load method: calculating the required judge strength taking into account the actual time spent by judges in different types of cases at varying stages based on an empirical study |
Used widely in the United States, this was the long-term method recommended by the NCMS (2016) to assess the required judge strength for subordinate courts. It involves determining the total number of ‘judicial hours’ required for disposing of the case load of each court. The Delhi High Court used this approach in a pilot project (January 2017- December 2018) to calculate the ideal judge strength for disposing of pending cases in certain courts in Delhi. |
Sources: Reports No. 120 (1987) and 245 (2014), Law Commission of India; Report No. 85, Standing Committee on Home Affairs (2002); Note for Calculating Required Judge Strength for Subordinate Courts, National Court Management Systems Committee (NCMS) (2016); Imtiyaz Ahmad vs. State of Uttar Pradesh, Supreme Court (2017); PRS.
