India’s urban population has grown by 32% from 2001 to 2011 as compared to 18% growth in total population of the country.[1]  As per Census 2011, 31% of the country’s population (377 million people) live in cities, and contribute to 63% of the country’s GDP.[2]  The urban population is projected to grow up to 600 million by 2031.2  With increasing urban population, the need for providing better infrastructure and services in cities is increasing.[3]  The government has introduced several schemes to address different urban issues.  These include the Atal Mission for Rejuvenation and Urban Transformation (AMRUT), Smart Cities Mission, Heritage City Development and Augmentation Yojana (HRIDAY), Pradhan Mantri Awas Yojana – Housing for All (Urban) (PMAY-U), and Swachh Bharat Mission (Urban).

Last week the Ministry of Urban Development released the next batch of winners under the Smart Cities Mission.[4]  This takes the number of smart cities to 90.  The government has also announced a few policies and released data indicators to help with the implementation of the urban schemes.  In light of all this, we discuss how the new schemes are changing the mandate of urban development, the fiscal challenge of implementing such schemes, and the policies that are trying to address some of these challenges.

Urbanisation in India

The Jawaharlal Nehru National Urban Renewal Mission (JnNURM), launched in 2005, was one of the first urban development schemes implemented by the central government.  Under JnNURM, the central government specified certain mandatory and optional reforms for cities, and provided assistance to the state governments and cities that were linked to the implementation of these reforms.  JnNURM focused on improving urban infrastructure and service delivery, community participation, and accountability of city governments towards citizens.

In comparison, the new urban schemes move beyond the mandate that was set by JnNURM.  While AMRUT captures most of the objectives under JnNURM, the other schemes seek to address issues around sanitation (through Swachh Bharat), affordable housing (through PMAY-U), and technology innovation (through Smart Cities).  Further, the new schemes seek to decentralize the planning process to the city and state level, by giving them more decision making powers.2  So, while earlier, majority of the funding came from the central and state governments, now, a significant share of the funding needs to be raised by the cities themselves.

For example, under the Smart Cities Mission, the total cost of projects proposed by the 60 smart cities (winners from the earlier rounds) is Rs 1.3 lakh crore.[5]  About 42% of this amount will come from central and state funding towards the Mission, and the rest will be raised by the cities.[6]

The new schemes suggest that cities may raise these funds through: (i) their own resources such as collection of user fees, land monetization, property taxes, etc., (ii) finance mechanisms such as municipal bonds, (iii) leveraging borrowings from financial institutions, and (iv) the private sector through Public Private Partnerships (PPPs).[7]

In 2011, an Expert Committee on Indian Urban Infrastructure and Services (HPEC) had projected that creation of the required urban infrastructure would translate into an investment of Rs 97,500 crore to Rs 1,95,000 crore annually.[8]  The current urban schemes are investing around Rs 32,500 crore annually.

Financial capacity of cities

Currently, the different sources of revenue that municipal corporations have access to include: (i) tax revenue (property tax, tax on electricity, toll tax, entertainment tax), (ii) non-tax revenue (user charges, building permission fees, sale and hire charges), (iii) grants-in-aid (from state and central governments), and (iv) debt (loans borrowed from financial institutions and banks, and municipal bonds).

While cities are now required to raise more financing for urban projects, they do not have the required fiscal and technical capacity.8,[9]  The HPEC had observed that cities in India are among the weakest in the world, both in terms of capacity to raise resources and financial autonomy.  Even though cities have been getting higher allocations from the centre and states, their own tax bases are narrow.8  Further, several taxes that cities can levy are still mandated by the state government.  Because of their poor governance and financial situation, cities also find it difficult to access external financing.8,7

In order to help cities improve their finances, the government has introduced a few policies, and released a few indicators.  Some of these are discussed below:

Policy proposals and data indicators

Value Capture Financing (VCF):  The VCF policy framework was introduced by the Ministry of Urban Development in February 2017.[10]  VCF is a principle that states that people benefiting from public investments in infrastructure should pay for it.  Currently when governments invest in roads, airports and industries in an area, private property owners in that area benefit from it.  However, governments recover only a limited value from such investments, constraining their ability to make further public investments elsewhere.  VCF helps in capturing a part of the increment in the value of land due to such investments, and use it to fund new infrastructure projects.

The different instruments of VCF include: land value tax, fee for changing land use, betterment levy, development charges, transfer of development rights, and land pooling systems.10  For example, Karnataka uses certain value capture methods to fund its mass transit projects.  The Mumbai Metropolitan Region Development Authority (MMRDA), and City and Industrial Development Corporation Limited (CIDCO) have used betterment levy (tax levied on land that has gained in value because of public infrastructure investments) to finance infrastructure projects.

Municipal bonds:  Municipal bonds are bonds issued by urban local bodies (municipal corporations or entities owned by municipal bodies) to raise money for financing specific projects such as infrastructure projects.  The Securities and Exchange Board of India regulations (2015) regarding municipal bonds provide that, to issue such bonds, municipalities must: (i) not have negative net worth in any of the three preceding financial years, and (ii) not have defaulted in any loan repayments in the last one year.[11]  Therefore, a city’s performance in the bond market depends on its fiscal performance.  One of the ways to determine a city’s financial health is through credit ratings.

Credit rating of cities:  In September 2016, the Ministry of Urban Development started assigning cities with credit ratings.[12]  These credit ratings were assigned based on assets and liabilities of the cities, revenue streams, resources available for capital investments, accounting practices, and other governance practices.

Of the total 20 ratings ranging from AAA to D, BBB is the ‘Investment Grade’ rating and cities rated below BBB need to undertake necessary interventions to improve their ratings for obtaining positive response to the Municipal Bonds to be issued.  By March 2017, 94 cities were assigned credit ratings, 55 of which got ‘investment grade’ ratings.[13]

Credit ratings indicate what projects might be more lucrative for investments.  This, in turn, helps investors decide where to invest and determine the terms of such investments (based on the expected returns).

Earlier this month, the Pune Municipal Corporation raised Rs 200 crore through the sale of municipal bonds, to finance water supply projects under the Smart Cities Mission.[14]  The city had received an AA+ credit rating (second highest rating) in the recent credit rankings assigned by the central government.

Other than credit ratings, the Ministry of Urban Development has also come up with other data indicators around cities such as the Swachh Bharat rankings, and the City Liveability Index (measuring mobility, access to healthcare and education, employment opportunities, etc).  These rankings seek to foster a sense of competition across cities, and also help them map their performances year on year.

Some financing mechanisms, such as municipal bonds, have been around in India for the last two decades, but cities haven’t been able to make much use of them.  It remains to be seen whether the introduction of indicators such as credit ratings helps the municipal bond market take off.  While these mechanisms may improve the finances of cities, the question is would more funding solve the cities’ problems.  Or would it require municipal government to take a different approach to problem solving.

[1] Census of India, 2011.

[2] Mission Statement and Guidelines, Smart Cities, Ministry of Urban Development, June 2015, http://smartcities.gov.in/writereaddata/SmartCityGuidelines.pdf.

[3] Report on Indian Urban Infrastructure and Services, March, 2011, The High Powered Expert Committee for estimating the investment requirements for urban infrastructure services, http://icrier.org/pdf/FinalReport-hpec.pdf.

[4] “30 more smart cities announced; takes the total to 90 so far”, Press Information Bureau, Ministry of Urban Development, June 23, 2017.

[5]  Smart Cities Mission, Ministry of Urban Development, last accessed on June 30, 2017, http://smartcities.gov.in/content/.

[6] Smart City Plans, Last accessed in June 2017.

[7] “Financing of Smart Cities”, Smart Cities Mission, Ministry of Urban Development, http://smartcities.gov.in/upload/uploadfiles/files/Financing%20of%20Smart%20Cities.pdf.

[8] “Report on Indian Urban Infrastructure and Services”, March, 2011, The High Powered Expert Committee for estimating the investment requirements for urban infrastructure services, http://icrier.org/pdf/FinalReport-hpec.pdf.

[9] Fourteenth Finance Commission, Ministry of Finance, February 2015, http://finmin.nic.in/14fincomm/14fcrengVol1.pdf.

[10] Value Capture Finance Policy Framework, Ministry of Urban Development, February 2017, http://smartcities.gov.in/upload/5901982d9e461VCFPolicyFrameworkFINAL.pdf.

[11] Securities and Exchange Board of India (Issue and Listing of Debt Securities by Municipalities) Regulations, 2015, Securities and Exchange Board of India, July 15, 2015, http://www.sebi.gov.in/sebi_data/attachdocs/1436964571729.pdf.

[12] “Credit rating of cities under urban reforms begins”, Press Information Bureau, Ministry of Urban Development, September 6, 2016.

[13] “Credit Rating of Urban Local Bodies gain Momentum”, Press Information Bureau, Ministry of Urban Development, March 26, 2017.

[14] “Pune civic body raises Rs200 crore via municipal bonds”, LiveMint, June 19, 2017, http://www.livemint.com/Money/JOOzaSTKnC6k1EZGeFh8LJ/Pune-civic-body-raises-Rs200-crore-via-municipal-bonds.html.

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

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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)

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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.

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.