India is one of the fastest growing aviation markets in the world. Its domestic traffic makes up 69% of the total airline traffic in South Asia. India’s airport capacity is expected to handle 1 billion trips annually by 2023. The Ministry of Civil Aviation is responsible for formulating national aviation policies and programmes. Today, Lok Sabha will discuss and vote upon the budget of the Ministry of Civil Aviation. In light of this, we discuss key issues with the aviation sector in India.
The aviation sector came under severe financial stress during the Covid-19 pandemic. After air travel was suspended in March 2020, airline operators in India reported losses worth more than Rs 19,500 crore while airports reported losses worth more than Rs 5,120 crore. However, several airline companies were under financial stress before the pandemic affected passenger travel. For instance, in the past 15 years, seventeen airlines have exited the market. Out of those, two airlines, Air Odisha Aviation Pvt Ltd and Deccan Charters Pvt Ltd exited the market in 2020. Air India has been reporting consistent losses over the past four years. All other major private airlines in India such as Indigo and Spice Jet faced losses in 2018-19.
Figure 1: Operating profit/loss of major airlines in India (in Rs crore)
Note: Vistara Airlines commenced operations in 2015, while Air Asia began in 2014; Negative values indicate operating loss.
Source: Unstarred Question 1812 answered on August 4, 2021, and Unstarred Question 1127 answered on September 21, 2020; Rajya Sabha; PRS.
Sale of Air India
Air India has accounted for the biggest expenditure head of the Ministry of Civil Aviation since 2011-12. Between 2009-10 and 2020-21, the government spent Rs 1,22,542 crore on Air India through budgeted allocations. In October 2021, the sale of Air India to Talace Ltd., which is a subsidiary of Tata Sons Pvt Ltd, was approved. The bid for Air India was finalised at Rs 18,000 crore.
Up to January 2020, Air India had accumulated debt worth Rs 60,000 crore. The central government is repaying this debt in the financial year 2021-22. After the finalisation of the sale, the government allocated roughly Rs 71,000 crore for expenses related to Air India.
In addition to loan repayment, in 2021-22, the government will provide Air India with a fresh loan (Rs 4,500 crore) and grants (Rs 1,944 crore) to recover from the shock of Covid-19. To pay for the medical benefits of retired employees of Air India, a recurring expense of Rs 165 crore will be borne by the central government each year.
In 2022-23, Rs 9,260 crore is allocated towards servicing the debt of AIAHL (see Table 1). AIAHL is a Special Purpose Vehicle (SPV) formed by the government to hold the assets and liabilities of Air India while the process of its sale takes place.
Table 1: Breakdown of expenditure on Air India (in Rs crore)
|
Major Head |
2020-21 Actual |
2021-22 RE |
2022-23 BE |
% change from 2021-22 RE to 2022-23 BE |
|
|
Equity infusion in AIAHL |
- |
62,057 |
- |
-100% |
|
|
Debt servicing of AIAHL |
2,184 |
2,217 |
9,260 |
318% |
|
|
Medical benefit to retired employees |
- |
165 |
165 |
0% |
|
|
Loans to AI |
- |
4,500 |
- |
-100% |
|
|
Grants for cash losses during Covid-19 |
- |
1,944 |
- |
-100% |
|
|
Total |
2,184 |
70,883 |
9,425 |
-87% |
|
Note: BE – Budget Estimate; RE – Revised Estimate; AAI: Airports Authority of India; AIAHL – Air India Asset Holding Limited; AI – Air India. Percentage change is from RE 2021-22 to BE 2022-23.
Source: Demands for Grants 2022-23, Ministry of Civil Aviation; PRS.
Privatisation of Airports
Airports Authority of India (AAI) is responsible for creating, upgrading, maintaining and managing civil aviation infrastructure in the country. As on June 23, 2020, it operates and manages 137 airports in the country. Domestic air traffic has more than doubled from around 61 million passengers in 2013-14 to around 137 million in 2019-20. International passenger traffic has grown from 47 million in 2013-14 to around 67 million in 2019-20, registering a growth of over 6% per annum. As a result, airports in India are witnessing rising levels of congestion. Most major airports are operating at 85% to 120% of their handling capacity. In response to this, the government has decided to privatise some airports to address the problem of congestion.
AAI has leased out eight of its airports through Public Private Partnership (PPP) for operation, management and development on long term lease basis. Six of these airports namely, Ahmedabad, Jaipur, Lucknow, Guwahati, Thiruvananthapuram, and Mangaluru have been leased out to M/s Adani Enterprises Limited (AEL) for 50 years (under PPP). The ownership of these airports remains with AAI and the operations will be back with AAI after the concession period is over. The Standing Committee on Transport (2021) had noted that the government expects to have 24 PPP airports by 2024.
Figure 2: Allocation towards AAI (in Rs crore)
Note: BE – Budget Estimate; RE – Revised Estimate; AAI – Airports Authority of India; IEBR – Internal and Extra-Budgetary Resources;
Source: Demand for Grant documents, Ministry of Civil Aviation; PRS.
The Committee also noted a structural issue in the way airport concessions are given. As of now, entities that bid the highest amount are given the rights to operate an airport. This leads them to pass on the high charge to airline operators. This system does not consider the actual cost of the services and leads to an arbitrary increase in the cost of airline operators. The Ministry sees the role of AAI in future policy issues to include providing high quality, safe and customer-oriented airport and air navigation services. In 2022-23, the government has allocated Rs 150 crore to AAI, which is almost ten times higher than the budget estimates of 2021-22.
Regional Connectivity Scheme (RCS-UDAN)
The top 15 airports in the country account for about 83% of the total passenger traffic. These airports are also close to their saturation limit, and hence the Ministry notes that there is a need to add more Tier-II and Tier-III cities to the aviation network. The Regional Connectivity Scheme was introduced in 2016 to stimulate regional air connectivity and make air travel affordable to the masses. The budget for this scheme is Rs 4,500 crore over five years from 2016-17 to 2021-22. As of December 16, 2021, 46% of this amount has been released. In 2022-23, the scheme has been allocated Rs 601 crore, which is 60% lower than the revised estimates of 2021-22 (Rs 994 crore).
Under the scheme, airline operators are incentivised to operate on under-served routes by providing them with viability gap funding and airport fee waivers. AAI, which is the implementing agency of this scheme, has sanctioned 948 routes to boost regional connectivity. As of January 31, 2022, 43% of these routes have been operationalised. As per the Ministry, lack of availability of land and creation of regional infrastructure has led to delays in the scheme. Issues with obtaining licenses and unsustainable operation of awarded routes also contribute to the delay. As per the Ministry, these issues, along with the setback faced due to the pandemic acted as major obstacles for the effective utilisation of funds.
Figure 3: Expenditure on Regional Connectivity Scheme (in Rs crore)
Note: BE – Budget Estimate; RE – Revised Estimate;
Source: Demand for Grants documents, Ministry of Civil Aviation; PRS.
Potential of air cargo
The Standing Committee on Transport (2021) had noted India’s cargo industry’s huge potential with respect to its geographical location, its growing economy, and its growth in domestic and international trade in the last decade. In 2019-20, all Indian airports together handled 3.33 million metric tonnes (MMT) of freight. This is much lower than the cargo handled by Hong Kong (4.5 MMT), Memphis (4.8 MMT), and Shanghai (3.7 MMT), which are the top three airports in terms of the volume of freight handled. The Standing Committee on Transport (2021) has noted inadequate infrastructure as a major bottleneck in developing the country’s air cargo sector. To reduce such bottleneck, it recommended the Ministry to establish dedicated cargo airports, and automate air cargo procedures and information systems to streamline redundant processes.
The Committee has also highlighted that the Open Sky Policy enables foreign cargo carriers to freely operate cargo services to and from any airports in India having customs/immigration facilities. They account for 90-95% of the total international cargo carried to and from the country. On the other hand, Indian air cargo operators face discriminatory practices and regulatory impediments for operating international cargo flights in foreign countries. The Committee urged the Ministry to provide a level-playing field for Indian air cargo operators and to ensure equal opportunities for them. The Ministry revised the Open Sky Policy in December 2020. Under the revised policy, the operations of foreign ad hoc and pure non-scheduled freighter charter service flights have been restricted to six airports - Bengaluru, Chennai, Delhi, Kolkata, Hyderabad, and Mumbai.
Rising cost of Aviation Turbine Fuel
The cost of Aviation Turbine Fuel (ATF) forms around 40% of the total operating cost of airlines and impacts their financial viability. ATF prices have been consistently rising over the past years, placing stress on the balance sheets of airline companies. As per recent news reports, airfares are expected to rise as the conflict between Russia and Ukraine is making ATF costlier.
ATF attracts VAT which is variable across states and does not have a provision for input tax credit. High rates of aviation fuel coupled with high VAT rates are adversely affecting airline companies.
Table 2: Expenditure on ATF by airlines over the years (in Rs crore)
|
Year |
National Carriers |
Private Domestic Airlines |
|
2016-17 |
7,286 |
10,506 |
|
2017-18 |
8,563 |
13,596 |
|
2018-19 |
11,788 |
20,662 |
|
2019-20 |
11,103 |
23,354 |
|
2020-21 |
3,047 |
7,452 |
Source: Unstarred Question 2581, Rajya Sabha; PRS.
The Ministry, in January 2020, has reduced the tax burden on ATF by eliminating fuel throughput charges that were levied by airport operators at all airports across India. Central excise on ATF was reduced from 14% to 11% w.e.f. October 11, 2018. State governments have also reduced VAT/Sales Tax on ATF drawn on RCS airports to 1% or less for 10 years. For non-RCS-UDAN operations, various state governments have reduced VAT/Sales Tax on ATF to within 5%. The Standing Committee on Transport (2021) has recommended ATF to be included within the ambit of GST and that applicable GST should not exceed 12% on ATF with full Input Tax Credit.
For more details, please refer to the Demand for Grants Analysis of the Ministry of Civil Aviation, 2022-23.
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
|
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. |
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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.
