In the last decade, the government has implemented several schemes to address issues related to urbanisation and aid the process of urban development. One of the schemes is the Smart Cities Mission, which intends to take advantage of the developments in information technology in developing the urban development strategy, across 100 cities. Last week the government announced the list of 9 new Smart Cities, taking the total to 99. In light of this, we look at the Smart Cities Mission and a few issues with it.
What is a Smart City?
The primary objective of the Mission is to develop cities that provide core infrastructure and give a decent quality of life to its citizens, a clean and sustainable environment, and apply ‘smart’ solutions.
However, the Mission document does not provide one definition of a Smart City. Instead it allows cities to come up with their own solutions of what they identify as a Smart City. The guidelines suggest that the core infrastructure elements in a Smart City will include: (i) adequate water supply, (ii) assured electricity supply, (iii) sanitation, including solid waste management, (iv) efficient urban mobility and public transport, (v) affordable housing, (vi) robust IT connectivity, and (vii) good governance. ‘Smart’ solutions may include (i) energy efficient buildings, (ii) electronic service delivery, (iii) intelligent traffic management, (iv) smart metering, (v) citizen engagement, etc.
How were the Smart Cities selected?
The Mission was introduced in the form of a competition, called the Smart City challenge. The first stage was in July 2015 when states nominated their cities for the competition. In August 2015, the Ministry of Urban Development selected 100 of those cities to participate in the competition. These cities were required to develop their smart city plans (SCPs) and compete against each other. The SCPs were evaluated on the basis of the solutions, the processes followed, the feasibility and cost effectiveness of the plans, and citizen engagement. Over the last 2 years, the Ministry has announced winner cities in batches. So far, 99 cities have been selected under the Mission.
What information do these SCPs contain?
The cities had to prepare their SCPs with two primary strategic components: (i) area-based development, and (ii) pan-city development. The area-based development would cover a particular area of the city, and could have either a redevelopment model, or be a completely new development. Pan-city development would envisage application of certain smart solutions across the city to the existing infrastructure.
Each city had to formulate its own concept, vision, mission and plan for a Smart City that was appropriate to its local context and resources. The Ministry of Urban Development provided technical assistance, through consultancy firms, to cities for helping them prepare these strategic documents.
How will the Mission be implemented?
The Mission will be implemented at the city level by a Special Purpose Vehicle (SPV). The SPV will plan, approve, release funds, implement, manage, monitor, and evaluate the Smart City development projects.
The SPV will be a limited company incorporated under the Companies Act, 2013 at the city-level. It will be chaired by the Collector/ Municipal Commissioner of the Urban Development Authority. The respective state and the Urban Local Body (ULB or municipality) will be the promoters in this company having 50:50 equity shareholding.
How are the Plans getting financed?
The Mission will be operated as a Centrally Sponsored Scheme. The central government will provide financial support of up to Rs 48,000 crore over five years, that is, an average of Rs 500 crore per city. The states and ULBs will have to contribute an equal amount. The central government allocated Rs 4,000 crore towards the Mission in the 2017-18 budget.
Since funding from the government will meet only a part of the funding required, the rest will have to be raised from other sources including: (i) states/ ULBs own resources from collection of user fees, land monetization, etc., (ii) innovative finance mechanisms such as municipal bonds, (iii) leverage borrowings from financial institutions (such as banks), and (iv) the private sector through Public Private Partnerships (PPPs).
The total cost of projects proposed under the various SCPs of the 90 winner cities is Rs 1.9 lakh crore. About 42% of this amount will come from central and state funding, 23% through private investments and PPPs, and 19% through convergence with other schemes (such as HRIDAY, AMRUT, Swachh Bharat-Urban). The remaining will be generated by the cities through the levy of local taxes, and user fees.
What are some of the issues to consider?
Financial capacity of cities: Under the Mission, cities have to generate additional revenue through various sources including market borrowings, PPPs, and land monetization. The High Powered Expert Committee on Indian Urban Infrastructure and Services (HPEC) had observed that ULBs in India are among the weakest in the world, both in terms of capacity to raise resources and financial autonomy. Even though ULBs have been getting higher allocations from the centre and states, and tax devolution to them has increased, their own tax bases are narrow. Further, owing to their poor governance and financial situation, ULBs find it difficult to access external financing.
Such a situation may pose problems when implementing the Mission, where the ULBs have to raise a significant share of the revenue through external sources (PPPs, market borrowings). For example, the Bhubaneswar Smart City Plan has a total project cost of Rs 4,537 crore (over five years), while the city’s annual budget for 2014-15 was Rs 469 crore.
In order to improve the finances of the ULBs, committees have made various recommendations, which include:
The government has recently introduced a few policies and mechanisms to address municipal financing. Examples include value capture financing through public investments in infrastructure projects, and a credit rating system for cities. In June 2017, the Pune Municipal Corporation raised Rs 200 crore by issuing municipal bonds.
Technical capacity of the ULBs: The Smart Cities Mission seeks to empower ULBs to raise their own revenue, and also lays emphasis on the capacity building of ULBs. The HPEC had observed that municipal administration has suffered due to: (i) presence of untrained and unskilled manpower, and (ii) shortage of qualified technical staff and managerial supervisors. It had recommended improving the technical capacity of ULBs by providing technical assistance to state governments, and ULBs in planning, financing, monitoring, and operation of urban programmes. The central government had allocated Rs 10.5 crore towards the capacity building component of the Mission in 2017-18.
The Ministry of Urban Development has been running several programmes to improve capacity of ULBs. This includes MoUs with 18 states to conduct training programmes for their ULB staff.
Coverage of the Mission: The Mission covers 100 cities, of which 99 have been announced as winners so far. The urban population that will be impacted through the Mission is around 96 million (data for 90 cities excluding the recently announced 9 cities).
As per Census 2011, India’s urban population was 377 million. The Mission impacts about 25% of this population. Further, most of the SCPs approved so far focus on area-based development, thus affecting a particular area of the cities. About 80% of the total project cost proposed is towards this model of development. In each city, this area-based development will cover up to 50 acres of area. The remaining 20% of the project cost is towards pan-city development proposals, which provide smart planning solutions for the entire city. It may be argued that even within the selected cities, the Mission will only impact few selected areas, and not necessarily help with development of the entire city.
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.
