Recently, the Cabinet Committee on Economic Affairs approved an increase in the Minimum Support Prices (MSPs) for Kharif crops for the 2018-19 marketing season.  Subsequently, the Commission for Agricultural Costs and Prices (CACP) released its price policy report for Kharif crops for the marketing season 2018-19.

The central government notifies MSPs based on the recommendations of the CACP.  These recommendations are made separately for the Kharif marketing season (KMS) and the Rabi marketing season (RMS).  Post harvesting, the government procures crops from farmers at the MSP notified for that season, in order to ensure remunerative prices to farmers for their produce.

In this blog post, we look at how MSPs are determined, changes brought in them over time, and their effectiveness for farmers across different states.

How are Minimum Support Prices determined?

The CACP considers various factors such as the cost of cultivation and production, productivity of crops, and market prices for the determination of MSPs.  The National Commission on Farmers(Chair: Prof. M. S. Swaminathan) in 2006 had recommended that MSPs must be at least 50% more than the cost of production.  In this year’s budget speech, the Finance Minister said that MSPs would be fixed at least at 50% more than the cost of production.

The CACP calculates cost of production at three levels: (i) A2, which includes cost of inputs such as seeds, fertilizer, labour; (ii) A2+FL, which includes the implied cost of family labour (FL); and (iii) C2, which includes the implied rent on land and interest on capital assets over and above A2+FL.

Table 1 shows the cost of production as calculated by the CACP and the approved MSPs for KMS 2018-19.  For paddy (common), the MSP was increased from Rs 1,550/quintal in 2017-18 to Rs 1,750/quintal in 2018-19.  This price would give a farmer a profit of 50.1% on the cost of production A2+FL.  However, the profit calculated on the cost of production C2 would be 12.2%.  It has been argued that the cost of production should be taken as C2 for calculating MSPs.  In such a scenario, this would have increased the MSP to Rs 2,340/quintal, much above the current MSP of Rs 1,750/quintal.

Figure 1

Which are the major crops that are procured at MSPs?

Every year, MSPs are announced for 23 crops.  However, public procurement is limited to a few crops such as paddy, wheat and, to a limited extent, pulses as shown in Figure 1.

Figure 2

The procurement is also limited to a few states.  Three states which produce 49% of the national wheat output account for 93% of procurement.  For paddy, six states with 40% production share have 77% share of the procurement.  As a result, in these states, farmers focus on cultivating these crops over other crops such as pulses, oilseeds, and coarse grains.

Due to limitations on the procurement side (both crop-wise and state-wise), all farmers do not receive benefits of increase in MSPs.  The CACP has noted in its 2018-19 price policy report that the inability of farmers to sell at MSPs is one of the key areas of concern.  Farmers who are unable to sell their produce at MSPs have to sell it at market prices, which may be much lower than the MSPs.

How have MSPs for major crops changed over time?

Higher procurement of paddy and wheat, as compared to other crops at MSPs tilts the production cycle towards these crops.  In order to balance this and encourage the production of pulses, there is a larger proportional increase in the MSPs of pulses over the years as seen in Figure 2.  In addition to this, it is also used as a measure to encourage farmers to shift from water-intensive crops such as paddy and wheat to pulses, which relatively require less water for irrigation.

Figure 3

What is the effectiveness of MSPs across states?

The MSP fixed for each crop is uniform for the entire country.  However, the production cost of crops vary across states.  Figure 3 highlights the MSP of paddy and the variation in its cost of production across states in 2018-19.

Figure 4

For example, production cost for paddy at the A2+FL level is Rs 702/quintal in Punjab and Rs 2,102/quintal in Maharashtra.  Due to this differentiation, while the MSP of Rs 1,750/quintal of paddy will result in a profit of 149% to a farmer in Punjab, it will result in a loss of 17% to a farmer in Maharashtra.  Similarly, at the C2 level, the production cost for paddy is Rs 1,174/quintal in Punjab and Rs 2,481/quintal in Maharashtra.  In this scenario, a farmer in Punjab may get 49% return, while his counterpart in Maharashtra may make a loss of 29%.

Figure 5

Figure 4 highlights the MSP of wheat and the variation in its cost of production across states in 2017-18. In the case of wheat, the cost of production in Maharashtra and West Bengal is much more than the cost in rest of the states.  At the A2+FL level, the cost of production in West Bengal is Rs 1,777/quintal.  This is significantly higher than in states like Haryana and Punjab, where the cost is Rs 736/quintal and Rs 642/quintal, respectively.  In this case, while a wheat growing farmer suffers a loss of 2% in West Bengal, a farmer in Haryana makes a profit of 136%.  The return in Punjab is even higher at 1.5 times or more the cost of production.

Yesterday, Parliament passed a Bill to increase the number of judges in the Supreme Court from 30 to 33 (excluding the Chief Justice of India).  The Bill was introduced in view of increasing pendency of cases in the Supreme Court.  In 2012, the Supreme Court approved the Scheme of National Court Management System to provide a framework for case management.  The scheme estimated that with an increase in literacy, per capita income, and population, the number of new cases filed each year may go up to 15 crore over the next three decades, which will require at least 75,000 judges.  In this blog, we analyse the pendency of cases at all three levels of courts, i.e. the Supreme Court, the Highs Courts, and the subordinate courts, and discuss the capacity of these courts to dispose of cases.

Pendency in courts has increased over the years; 87% of all pending cases are in subordinate courts

Sources:  Court News, 2006, Supreme Court of India; National Data Judicial Grid accessed on August 7, 2019; PRS.

Overall, the pendency of cases has increased significantly at every level of the judicial hierarchy in the last decade.  Between 2006 and now, there has been an overall increase of 22% (64 lakh cases) in the pendency of cases across all courts.  As of August 2019, there are over 3.5 crore cases pending across the Supreme Court, the High Courts, and the subordinate courts.  Of these, subordinate courts account for over 87.3% pendency of cases, followed by 12.5% pendency before the 24 High Courts.  The remaining 0.2% of cases are pending with the Supreme Court.  The primary reason for growing pendency of cases is that the number of new cases filed every year has outpaced the number of disposed of cases.  This has resulted in a growing backlog of cases.

In High Courts and subordinate courts, over 32 lakh cases pending for over 10 years

 

 

 

 

 

 

 

Sources:  National Data Judicial Grid accessed on August 7, 2019; Court News, 2006-17, Supreme Court of India; PRS.

In the High Courts, over 8.3 lakh cases have been pending for over 10 years.  This constitutes 19% of all pending High Court cases.  Similarly, in the subordinate courts, over 24 lakh cases (8%) have been pending for over 10 years.  Overall, Allahabad High Court had the highest pendency, with over seven lakh cases pending as of 2017.

Despite high pendency, some High Courts have managed to reduce their backlog.  Between 2006 and 2017, pendency of cases reduced the most in Madras High Court at a rate of 26%, followed by Bombay High Court at 24%.  Conversely, during the same period, the pendency of cases doubled in the Andhra Pradesh High Court, and increased by 2.5 times in Karnataka High Court.

As a result of pendency, number of under-trials in prison is more than double that of convicts

Sources:  Prison Statistics in India, 2015, National Crime Record Bureau; PRS.

Over the years, as a result of growing pendency of cases for long periods, the number of undertrials (accused awaiting trial) in prisons has increased.  Prisons are running at an over-capacity of 114%.  As of 2015, there were over four lakh prisoners in jails.  Of these, two-thirds were undertrials (2.8 lakh) and the remaining one-third were convicts. 

The highest proportion of undertrials (where the number of inmates was at least over 1,000) were in J&K (85%), followed by Bihar (82%).  A total of 3,599 undertrials were detained in jails for more than five years.  Uttar Pradesh had the highest number of such undertrials (1,364) followed by West Bengal (294). 

One interesting factor to note is that more criminal cases are filed in subordinate courts than in High Courts and Supreme Court.  Of the cases pending in the subordinate courts (which constitute 87% of all pending cases), 70% of cases were related to criminal matters.  This increase in the pendency of cases for long periods over the years may have directly resulted in an increase in the number of undertrials in prisons.  In a statement last year, the Chief Justice of India commented that the accused in criminal cases are getting heard after serving out their sentence.

Vacancies in High Courts and Subordinate Courts affect the disposal of cases

Sources:  Court News, 2006-17, Supreme Court of India; PRS.

Vacancy of judges across courts in India has affected the functioning of the judiciary, particularly in relation to the disposal of cases.  Between 2006 and 2017, the number of vacancies in the High Courts has increased from 16% to 37%, and in the subordinate courts from 19% to 25%.  As of 2017, High Courts have 403 vacancies against a sanctioned strength of 1,079 judges, and subordinate courts have 5,676 vacancies against a sanctioned strength of 22,704 judges.  As of 2017, among the major High Courts (with sanctioned strength over 10 judges), the highest proportion of vacancies was in Karnataka High Court at 60% (37 vacancies), followed by Calcutta High Court at 54% (39 vacancies).  Similarly, in major subordinate courts (with sanctioned strength over 100 judges), the highest proportion of vacancies was in Bihar High Court at 46% (835 vacancies), followed by Uttar Pradesh High Court at 42% (1,348 vacancies).