Earlier this week, Rajya Sabha passed the Airports Economic Regulatory Authority of India (Amendment) Bill, 2019, and the Bill is now pending in Lok Sabha. The Bill amends the Airports Economic Regulatory Authority of India Act, 2008. The Act established the Airports Economic Regulatory Authority of India (AERA). AERA regulates tariffs and other charges for aeronautical services provided at civilian airports with annual traffic above 15 lakh passengers. It also monitors the performance standard of services across these airports. In this post, we explain the amendments that the Bill seeks to bring in and some of the issues around the functioning of the regulator.
Why was AERA created, and what is its role?
Few years back, private players started operating civilian airports. Typically, airports run the risk of becoming a monopoly because cities usually have one civilian airport which controls all aeronautical services in that 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. Consequently, the Airports Economic Regulatory Authority of India Act, 2008 (AERA Act) was passed which set up AERA.
AERA regulates tariffs and other charges (development fee and passenger service fee) for aeronautical services (air traffic management, landing and parking of aircraft, ground handling services) at major airports. Major airports include civilian airports with annual traffic above 15 lakh passengers. In 2018-19, there were 32 such airports (see Table 1). As of June 2019, 27 of these are being regulated by AERA (AERA also regulates tariffs at the Kannur airport which was used by 89,127 passengers in 2018-19). For the remaining airports, tariffs are determined by the Airports Authority of India (AAI), which is a body under the Ministry of Civil Aviation that also operates airports.
What changes are being proposed in the Bill?
The Bill seeks to do two things:
Definition of major airports: Currently, the AERA Act defines a major airport as one with annual passenger traffic over 15 lakh, or any other airports as notified by the central government. The Bill increases the threshold of annual passenger traffic for major airports to over 35 lakh.
Tariff determination by AERA: Under the Act, AERA is responsible for determining the: (i) tariff for aeronautical services every five years, (ii) development fees, and (iii) passengers service fee. It can also amend the tariffs in the interim period. The Bill adds that AERA will not determine: (i) tariff, (ii) tariff structures, or (iii) development fees, in certain cases. These cases include those where such tariff amounts were a part of the bid document on the basis of which the airport operations were awarded. AERA will be consulted (by the concessioning authority, the Ministry of Civil Aviation) before incorporating such tariffs in the bid document, and such tariffs must be notified.
Why is the Act getting amended?
The Statement of Objects and Reasons of the Bill states that the exponential growth of the 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. If the challenge for AERA is availability of limited resources, the question is whether this problem may be resolved by reducing its jurisdiction (as the Bill is doing), or by improving its capacity.
Will the proposed amendments strengthen the role of the regulator?
When AERA was created in 2008, there were 11 airports with annual passenger traffic over 15 lakh. With increase in passenger traffic across airports, currently 32 airports are above this threshold. The Bill increases the threshold of annual passenger traffic for major airports to over 35 lakh. With this increase in threshold, 16 airports will be regulated by AERA. It may be argued that instead of strengthening the role of the regulator, its purview is being reduced.
Before AERA was set up, the Airports Authority of India (AAI) fixed the aeronautical charges for the airports under its control and 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 conflict of interest. Further, there was a natural monopoly in airports and air traffic control. In order to regulate the growing competition in the airline industry, and to provide a level playing field among different categories of airports, AERA was set up. During the deliberations of the Standing Committee examining the AERA Bill, 2007, the Ministry of Civil Aviation had noted that AERA should regulate tariff and monitor performance standards only at major airports. Depending upon future developments in the sector, other functions could be subsequently assigned to the regulator.
How would the Bill affect the regulatory regime?
Currently, there are 32 major airports (annual traffic above 15 lakh), and AERA regulates tariffs at 27 of these. As per the Bill, AERA will regulate 16 major airports (annual traffic above 35 lakh). The remaining 16 airports will be regulated by AAI. Till 2030-31, air traffic in the country is expected to grow at an average annual rate of 10-11%. This implies that in a few years, the traffic at the other 16 airports will increase to over 35 lakh and they will again fall under the purview of AERA. This may lead to constant changes in the regulatory regime at these airports. The table below provides the current list of major airports:
Table 1: List of major airports in India (as on March 2019)
| Airports with annual traffic above 35 lakh | Airports with annual traffic between 15 and 35 lakh | ||||
|
Ahmedabad |
Goa |
Mumbai |
Amritsar |
Madurai* |
Srinagar |
|
Bengaluru |
Guwahati |
Patna |
Bagdogra |
Mangalore |
Trichy* |
|
Bhubaneswar |
Hyderabad |
Pune |
Calicut |
Nagpur |
Varanasi |
|
Chennai |
Jaipur |
Thiruvananthapuram |
Chandigarh |
Port Blair* |
Vishakhapatnam |
|
Cochin |
Kolkata |
Coimbatore |
Raipur* |
||
|
Delhi |
Lucknow |
Indore |
Ranchi* |
||
* - AERA does not regulate tariffs at these airports currently.
Sources: AAI Traffic News; AERA website; 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.
