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).
|
Figure 1: Vacancy of judges in High Courts |
Figure 2: Vacancy of judges in subordinate courts |
|
|
|
|
Sources: Court News 2010-2018; Vacancy Statement, and Rajya Sabha replies, Part I, Budget Session (2021), Department of Justice; PRS. |
|
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.
|
Figure 3: Vacancy of judges across High Courts (in %) (as on November 1, 2021)
|
|
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)
|
|
|
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
|
Method of calculation |
Recommendation and its status |
|
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. |
|
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. |
|
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. |
|
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.
The Monetary Policy Committee (MPC) has decided to conduct an off-cycle meeting today to discuss the failure to meet the inflation target under Section 45ZN of the Reserve Bank of India Act, 1934. As per the Reserve Bank of India Act (RBI), 1934, MPC is required to meet at least four times each year, to discuss the macroeconomic issues in the country, and take policy decisions to address those. This is the second time MPC has conducted an off-cycle meeting in 2022-23. The meeting is scheduled in light of inflation being consistently high for nine consecutive months.
In this blog, we discuss what the inflation targeting framework is, examine retail and wholesale prices, and the divergence between them.
What is the inflation targeting framework, and what happens if inflation is persistently high?
In 2016, Parliament amended the RBI Act, 1934 to change the monetary policy, and introduce an inflation targeting framework. This framework prioritises price stability to achieve sustainable GDP growth. Price stability allows investors to confidently invest their money for productive activities, without worrying about it losing value. Price stability also maintains the purchasing power of consumers, i.e., the ability to purchase a good (or service) with a given amount of money.
As per the new framework, the central government, in consultation with RBI sets: (i) an inflation target, and (ii) an upper and lower tolerance level for retail inflation. The target has been set at 4%, with an upper tolerance limit of 6% and a lower tolerance limit of 2%. The upper and lower limits indicate that although it is desirable for inflation to be close to 4%, deviation between these limits is acceptable. The target and bands are revised every five years. In March 2021, the existing targets were carried forward.
Retail inflation has been above 6% for the past nine months, and it has been above 4% from October 2019 onwards (See Figure 1).
Figure 1: Consumer price index (year-on-year; in percentage)
Sources: Database on Indian Economy, Reserve Bank of India; PRS.
If inflation is above or below the prescribed limits for three quarters, RBI must submit a report to the central government explaining why prices have been rising (or falling) persistently, what will be done to correct that, and an estimate as to when the target will be achieved.
The MPC uses tools such as interest rates to control the level of inflation in the economy. One such rate is the policy repo rate, which is the rate at which RBI lends money to banks. An increase in the policy repo rate makes borrowing money more costly, and hence is expected to control inflation by reducing the money supply. MPC increased this rate from 4% in April 2022 to 4.4% in May 2022, to 4.9% in June 2022, to 5.4% in August 2022, and to 5.9% in September 2022.
Breaking down the Consumer Price Index and the Wholesale Price Index
Consumer Price Index (CPI) measures the general prices of goods and services such as food, clothing, and fuel over time. Retail inflation is calculated as the change in the CPI over a period of time. Goods and services such as petrol, food products, health, and education are considered for its calculation, which are assigned different weights (See Table 1). Between February 2022 and August 2022, the average annual inflation was 6.9%. The rise in prices of subcomponents of the CPI during this period is indicated in Table 2.
|
Table 1: Assigned weights for the calculation of CPI
Sources: MOSPI; PRS. |
Table 2: Average inflation of some CPI components
Sources: Database on Indian Economy, RBI; PRS. |
CPI is not the only index that measures inflation in an economy. The Wholesale Price Index (WPI) measures the wholesale prices of goods. A change in wholesale prices reflects wholesale inflation. Table 3 indicates the weights assigned to goods for calculating the WPI. Manufactured goods include metals, chemicals, food products, and textiles.
|
Primary articles (23%) include food articles, and crude petroleum and natural gas. Fuel and power (12%) include mineral oils, electricity, and coal. WPI has remained above 10% from April 2021 onwards. It reached an all-time high of 17% in May 2022. This was driven by the inflation in metals, kerosene and petroleum coke, fruits and vegetables, and palm oil. |
Table 3:Assigned weights for the
Sources: Ministry of Commerce and Industry; PRS. |
Why has WPI inflation been consistently above CPI inflation?
Movements in the WPI have an impact on the CPI. For almost a year and half, CPI inflation has remained below WPI inflation. However, as per the design of the indices, it is expected that CPI would remain above WPI, and that any increase in WPI would reflect in the CPI after a time lag. This is because retail prices include taxes (as a percentage of price), while wholesale prices do not. Additionally, some of the goods in WPI act as inputs in the goods considered in CPI. An increase in input prices would lead to higher retail prices after a time lag.
We discuss possible reasons for why CPI has remained below WPI for a year and a half.
Figure 2: Consumer Price Index and Wholesale Price Index
Sources: Database on Indian Economy, Reserve Bank of India; PRS.
Composition of indices
As indicated in Table 2 and 3, the composition of the two indices varies. For instance, prices of manufacture of basic metals, chemicals, and machinery grew at an average rate of 13% between February 2021 and September 2022. They contribute 7% to the WPI. These are input goods for producing final goods and services such as automobiles, which are included in the CPI. The rise in prices of transport vehicles, communication devices, fuel for transport, and housing (CPI components) rose by 6% during this period.
The Ministry of Finance has observed that wholesale prices did not feed into retail prices (from March 2021 onwards) as wholesalers absorbed the rising input costs and did not pass them on to retailers. In August 2022, it noted that as retail prices are rising now, the pass-through may occur.
