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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
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.
