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.
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.
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.
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.
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 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.
In April 2020, the International Labour Organisation (ILO) estimated that nearly 2.5 crore jobs could be lost worldwide due to the COVID-19 pandemic in 2020. Further, it observed that more than 40 crore informal workers in India may get pushed into deeper poverty due to the pandemic. In this blog post, we discuss the effect of COVID-19 on unemployment in urban areas as per the quarterly Periodic Labour Force Survey (PLFS) report released last week, and highlight some of the measures taken by the central government with regard to unemployment.
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Methodology for estimating unemployment in PLFS reports The National Statistics Office (NSO) released its latest quarterly PLFS report for the October-December 2020 quarter. The PLFS reports give estimates of labour force indicators including Labour Force Participation Rate (LFPR), Unemployment Rate, and distribution of workers across industries. The reports are released on a quarterly as well as annual basis. The quarterly reports cover only urban areas whereas the annual report covers both urban and rural areas. The latest annual report is available for the July 2019-June 2020 period. The quarterly PLFS reports provide estimates based on the Current Weekly Activity Status (CWS). The CWS of a person is the activity status obtained during a reference period of seven days preceding the date of the survey. As per CWS status, a person is considered as unemployed in a week if he did not work even for at least one hour on any day during the reference week but sought or was available for work. In contrast, the headline numbers on employment-unemployment in the annual PLFS reports are reported based on the usual activity status. Usual activity status relates to the activity status of a person during the reference period of the last 365 days preceding the date of the survey. |
To contain the spread of COVID-19, a nationwide lockdown was imposed from late March till May 2020. During the lockdown, severe restrictions were placed on the movement of individuals and economic activities were significantly halted barring the activities related to essential goods and services. Unemployment rate in urban areas rose to 20.9% during the April-June quarter of 2020, more than double the unemployment rate in the same quarter the previous year (8.9%). Unemployment rate refers to the percentage of unemployed persons in the labour force. Labour force includes persons who are either employed or unemployed but seeking work. The lockdown restrictions were gradually relaxed during the subsequent months. Unemployment rate also saw a decrease as compared to the levels seen in the April-June quarter of 2020. During the October-December quarter of 2020 (latest data available), unemployment rate had reduced to 10.3%. However, it was notably higher than the unemployment rate in the same quarter last year (7.9%).
Figure 1: Unemployment rate in urban areas across all age groups as per current weekly activity status (Figures in %)
Note: PLFS includes data for transgenders among males.
Sources: Quarterly Periodic Labour Force Survey Reports, Ministry of Statistics and Program Implementation; PRS.
Recovery post-national lockdown uneven in case of females
Pre-COVID-19 trends suggest that the female unemployment rate has generally been higher than the male unemployment rate in the country (7.3% vs 9.8% during the October-December quarter of 2019, respectively). Since the onset of the COVID-19 pandemic, this gap seems to have widened. During the October-December quarter of 2020, the unemployment rate for females was 13.1%, as compared to 9.5% for males.
The Standing Committee on Labour (April 2021) also noted that the pandemic led to large-scale unemployment for female workers, in both organised and unorganised sectors. It recommended: (i) increasing government procurement from women-led enterprises, (ii) training women in new technologies, (iii) providing women with access to capital, and (iv) investing in childcare and linked infrastructure.
Labour force participation
Persons dropping in and out of the labour force may also influence the unemployment rate. At a given point of time, there may be persons who are below the legal working age or may drop out of the labour force due to various socio-economic reasons, for instance, to pursue education. At the same time, there may also be discouraged workers who, while willing and able to be employed, have ceased to seek work. Labour Force Participation Rate (LFPR) is the indicator that denotes the percentage of the population which is part of the labour force. The LFPR saw only marginal changes throughout 2019 and 2020. During the April-June quarter (where COVID-19 restrictions were the most stringent), the LFPR was 35.9%, which was lower than same in the corresponding quarter in 2019 (36.2%). Note that female LFPR in India is significantly lower than male LFPR (16.6% and 56.7%, respectively, in the October-December quarter of 2019).
Figure 2: LFPR in urban areas across all groups as per current weekly activity status (Figures in %)
Note: PLFS includes data for transgenders among males.
Sources: Quarterly Periodic Labour Force Survey Reports, Ministry of Statistics and Program Implementation; PRS.
Measures taken by the government for workers
The Standing Committee on Labour in its report released in August 2021 noted that 90% of workers in India are from the informal sector. These workers include: (i) migrant workers, (ii) contract labourers, (iii) construction workers, and (iv) street vendors. The Committee observed that these workers were worst impacted by the pandemic due to seasonality of employment and lack of employer-employee relationship in unorganised sectors. The Committee recommended central and state governments to: (i) encourage entrepreneurial opportunities, (ii) attract investment in traditional manufacturing sectors and developing industrial clusters, (iii) strengthen social security measures, (iv) maintain a database of workers in the informal sector, and (v) promote vocational training. It took note of the various steps taken by the central government to support workers and address the challenges and threats posed by the COVID-19 pandemic (applicable to urban areas):
The central and state governments have also taken various other measures, such as increasing spending on infrastructure creation and enabling access to cheaper lending for businesses, to sustain economic activity and boost employment generation.
