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Minimum Support Price (MSP) is the assured price at which foodgrains are procured from farmers by the central and state governments and their agencies, for the central pool of foodgrains. The central pool is used for providing foodgrains under the Public Distribution System (PDS) and other welfare schemes, and also kept as reserve in the form of buffer stock. However, in the past few months, there have been demands to extend MSP to private trade as well and guarantee MSP to farmers on all kinds of trade. This blogpost looks at the state of public procurement of foodgrains in India and the provision of MSP.
Is MSP applicable for all crops?
The central government notifies MSP for 23 crops every year before the Kharif and Rabi seasons based on the recommendations of the Commission for Agricultural Costs and Prices, an attached office of the Ministry of Agriculture and Farmers’ Welfare. These crops include foodgrains such as cereals, coarse grains, and pulses. However, public procurement is largely limited to a few foodgrains such as paddy (rice), wheat, and, to a limited extent, pulses (Figure 1).
Figure 1: Percentage of crop production that was procured at MSP in 2019-20
Sources: Unstarred Question No. 331, Lok Sabha, September 15, 2020; PRS.
Since rice and wheat are the primary foodgrains distributed under PDS and stored for food security, their procurement level is considerably high. However, the National Food Security Act, 2013 requires the central and state governments to progressively undertake necessary reforms in PDS. One of the reforms requires them to diversify the commodities distributed under PDS over a period of time.
How does procurement vary across states?
The procurement of foodgrains is largely concentrated in a few states. Three states (Madhya Pradesh, Punjab, and Haryana) producing 46% of the wheat in the country account for 85% of its procurement (Figure 2). For rice, six states (Punjab, Telangana, Andhra Pradesh, Chhattisgarh, Odisha, and Haryana) with 40% of the production have 74% share in procurement (Figure 3). The National Food Security Act, 2013 requires the central, state, and local governments to strive to progressively realise certain objectives for advancing food and nutritional security. One of these objectives involves geographical diversification of the procurement operations.
Figure 2: 85% wheat procurement is from three states (2019-20)
Sources: Department of Food and Public Distribution; PRS.
Figure 3: 76% of the rice procured comes from six states (2019-20)
Sources: Department of Food and Public Distribution; PRS.
Is MSP mandatory for private trade as well in some states?
MSP is not mandatory for purchase of foodgrains by private traders or companies. It acts as a reference price at which the government and its agencies procure certain foodgrains from farmers.
In September 2020, the central government enacted a new farm law which allows anyone with a PAN card to buy farmers’ produce in the ‘trade area’ outside the markets notified or run by the state Agricultural Produce Marketing Committees (APMCs). Buyers do not need to get a license from the state government or APMC, or pay any tax to them for such purchase in the ‘trade area’. These changes in regulations raised concerns regarding the kind of protections available to farmers in the ‘trade area’ outside APMC markets, particularly in terms of the price discovery and payment. In October 2020, Punjab passed a Bill in response to the central farm law to prohibit purchase of paddy and wheat below MSP. Any person or company compelling or pressurising farmers to sell below MSP will be punished with a minimum of three-year imprisonment and a fine. Note that 72% of the wheat and 92% of the rice produced in Punjab was purchased under public procurement in 2019-20.
Similarly, in November 2020, Rajasthan passed a Bill to declare those contract farming agreements as invalid where the purchase is done below MSP. Any person or company compelling or pressurising farmers to enter into such an invalid contract will be punished with 3 to 7 years of imprisonment, or a fine of minimum five lakh rupees, or both. Both these Bills have not been enacted yet as they are awaiting the Governors’ assent.
How has MSP affected the cropping pattern?
According to the central government’s procurement policy, the objective of public procurement is to ensure that farmers get remunerative prices for their produce and do not have to resort to distress sale. If farmers get a better price in comparison to MSP, they are free to sell their produce in the open market. The Economic Survey 2019-20 observed that the regular increase in MSP is seen by farmers as a signal to opt for crops which have an assured procurement system (for example, rice and wheat). The Economic Survey also noted that this indicates market prices do not offer remunerative options for farmers, and MSP has, in effect, become the maximum price that the farmers are able to realise.
Thus, MSP incentivises farmers to grow crops which are procured by the government. As wheat and rice are major food grains provided under the PDS, the focus of procurement is on these crops. This skews the production of crops in favour of wheat and paddy (particularly in states where procurement levels are high), and does not offer an incentive for farmers to produce other items such as pulses. Further, this puts pressure on the water table as these crops are water-intensive crops.
To encourage crop diversification and thereby reduce the consumption of water, some state governments are taking measures to incentivise farmers to shift away from paddy and wheat. For example, Haryana has launched a scheme in 2020 to provide Rs 7,000 per acre to those farmers who will use more than 50% of their paddy area (as per the area sown in 2019-20) for other crops. The farmers can grow maize, bajra, pulses, or cotton in such diversified area. Further, the crop produce grown in such diversified area under the scheme will be procured by the state government at MSP.
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.
