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After months of discussion,  the issue of FDI in retail is being deliberated in the Lok Sabha today.  In September 2012, the Cabinet had approved 51% of FDI in multi-brand retail (stores selling more than one brand).  Under these regulations, foreign retail giants like Walmart and Tesco can set up shop in India.  Discussions on permitting FDI in retail have focused on the effect of FDI on unorganised retailers, farmers and consumers. Earlier, the central government commissioned the Indian Council for Research on International Economic Relations (ICRIER) to examine the impact of organised retail on unorganised retail. The Standing Committee on Commerce also tabled a report on Foreign and Domestic Investment in the Retail Sector in May, 2009 while the Department of Industrial Policy and Promotion (DIPP) released a discussion paper examining FDI in multi-brand retail in July, 2010.  Other experts have also made arguments – both in support of, and in opposition to, the move to permit FDI in retail sales. The table below summarises some of these arguments from the perspective of various stakeholders as collated from the above reports examining the issue.

Stakeholder

Supporting arguments (source)

Opposing arguments (source)

Unorganised retail
  • No evidence of impact on job losses (ICRIER).
  • The rate of closure of unorganised retail shops (4.2%) is lower than international standards (ICRIER).
  • Evidence from Indonesia and China show that traditional and modern retail can coexist and grow  (Reardon and Gulati).
  • Majority of small retailers keen to remain in operation even after emergence of organised retail (ICRIER).
  •  Unorganised retailers in the vicinity of organised retailers saw their volume of business and profit decline but this effect weakens over time (ICRIER).
  • Other studies have estimated that traditional fruit and vegetable retailers experienced a 20-30% decline in incomes with the presence of supermarkets (Singh).
  • There is potential for employment loss in the value chain. A supermarket may create fewer jobs for the volume of produce handled (Singh).
  • Unemployment to increase as a result of retailers practicing product bundling (selling goods in combinations and bargains) and predatory pricing (Standing Committee).
Farmers
  • Significant positive impact on farmers as a result of direct sales to organised retailers.  For instance, cauliflower farmers receive a 25% higher price selling directly to organised retailers instead of government regulated markets (mandis).  Profits for farmers selling to organised retailers are about 60% higher than when selling to mandis (ICRIER).
  • Organised retail could remove supply chain inefficiencies through direct purchase from farmers and investment in better storage, distribution and transport systems.  FDI, in particular, could bring in new technology and ideas (DIPP).
  •  Current organised retail procures 60-70% from wholesale markets rather than farmers. There has been no significant impact on backend infrastructure investment (Singh).
  • There are other issues like irrigation, technology and credit in agriculture which FDI may not address (Singh).
  • Increased monopolistic strength could force farmers to sell at lower prices (Standing Committee).
Consumers
  • Organised retail lowers prices. Consumer spending increases with the entry of organised retail and lower income groups tend to save more (ICRIER).
  • It will lead to better quality and safety standards of products (DIPP).
  •  Evidence from some Latin American countries (Mexico, Nicaragua, Argentina), Africa (Kenya, Madagascar) and Asia (Thailand, Vietnam, India) reveal that supermarket prices for fruits and vegetables were higher than traditional retail prices (Singh).
  • Even with lower prices at supermarkets, low income households may prefer traditional retailers because they live far from supermarkets, they can bargain with traditional retailers and buy loose items (Singh).
  • Monopolistic power for retailers could result in high prices for consumers.

Source: ICRIER [1.  "Impact of Organized Retailing on the Unorganized Sector", ICRIER, September 2008]; Standing Committee [2.  "Foreign and domestic investment in retail sector", Standing Committee on Commerce, May 13, 2009]; Singh (2011) [3. "FDI in Retail: Misplaced Expectations and Half-truths",  Sukhpal Singh, Economic and Political Weekly, December 17, 2011];  Reardon and Gulati (2008)  [4. "Rise of supermarkets and their development implications," IFPRI Discussion Paper, Thomas Reardon and Ashok Gulati, February 2008.]; DIPP [5. "Discussion Paper on FDI in Multi-brand Retail Trading", Department of Industrial Policy and Promotion, July 6, 2010]


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.