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The Airports Economic Regulatory Authority of India (Amendment) Bill, 2021 was passed by Parliament on August 4, 2021. It amends the Airports Economic Regulatory Authority of India Act, 2008. This Bill was introduced in Lok Sabha during the budget session this year in March 2021. Subsequently, it was referred to the Standing Committee on Transport, Tourism, and Culture, which submitted its report on July 22, 2021.
Typically, cities have one civilian airport which provides all aeronautical services in that area. These services include air traffic management, landing and parking of aircraft, and ground handling services. This makes airports natural monopolies in the area. To ensure that private airport operators do not misuse their monopoly, the need for an independent tariff regulator in the airport sector was felt. Hence, the Airport Economic Regulatory Authority (AERA) was established as an independent body under the 2008 Act to regulate tariffs and other charges (development fee and passenger service fee) for aeronautical services at major airports.
For the remaining airports, these tariffs are determined by the Airports Authority of India (AAI), which is a body under the Ministry of Civil Aviation. In addition, AAI leases out airports under the public-private partnership (PPP) model for operation, management, and development. Before AERA was set up, AAI determined and fixed the aeronautical charges for all airports. It also prescribed performance standards for all airports and monitored them. Various committees had noted that AAI performed the role of airport operator as well as the regulator, which resulted in a conflict of interest.
The 2008 Act designates an airport as a major airport if it has an annual passenger traffic of at least 35 lakh. The central government may also designate any airport as a major airport through a notification. The Bill adds that the central government may group airports and notify the group as a major airport. Thus, when a small airport will be clubbed in a group and the group is notified as a major airport, its tariff will be determined by AERA instead of AAI. Note that AERA will not determine the tariff if such tariff or tariff structures or the amount of development fees has been incorporated in the bidding document, which is the basis for the award of operatorship of that airport.
The amendments under the Bill raise some concerns regarding the grouping of airports and the capacity of the regulator.
As of 2020, there are 125 operational airports in India (includes international airports, customs airports, and civil enclaves). The number of airports under the purview of AERA increased from 11 in 2007 to 24 in 2019. For the remaining airports, tariffs are still determined by AAI. In the last five years (2014 to 2019), air passenger traffic increased from 11.3 crore to 34.9 crore (which is an annual growth rate of 10%). Till 2030-31, air traffic in the country is expected to continue growing at an average annual rate of 10-11%.
Before 2019, an airport with annual passenger traffic of at least 15 lakh was considered a major airport. In 2019, the AERA Act was amended to increase this threshold to 35 lakh. The Statement of Objects and Reasons of the 2019 Bill stated that the exponential growth of the aviation sector has put tremendous pressure on AERA, while its resources are limited. Therefore, if too many airports come under the purview of AERA, it will not be able to perform its functions efficiently. Consequently, in 2019, the number of airports under the purview of AERA was reduced. Now, with the passage of the 2021 Bill, AERA will have to again regulate tariffs at more airports as and when notified by the central government. Thus, the capacity of AERA may be needed to be enhanced for extending its scope to other airports.
Table 1: List of major airports in India (as of June 2019)
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Ahmedabad |
Delhi |
Mumbai |
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Amritsar |
Goa |
Patna |
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Bengaluru |
Guwahati |
Pune |
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Bhubaneswar |
Hyderabad |
Raipur |
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Calicut |
Jaipur |
Thiruvananthapuram |
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Chandigarh |
Kolkata |
Tiruchirappalli |
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Chennai |
Lucknow |
Varanasi |
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Cochin |
Mangalore |
Kannur |
Source: AERA website as accessed on August 2, 2021; PRS.
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.
