Recently, there have been reports of price crashes and distress sales in case of farm produce, such as tomatoes, mangoes, and garlic. In some cases, farmers have dumped their produce on roads. Produce such as fruits and vegetables are perishable and therefore have a short shelf life. Further, due to inadequate storage facilities and poor food processing infrastructure farmers have limited options but to sell the produce at prevailing market prices. This can lead to distress sales or roadside discards (in some cases to avoid additional cost of transportation).
Food processing allows raw food to be stored, marketed, or preserved for consumption later. For instance, raw agricultural produce such as fruits may be processed into juices, jams, and pickles. Activities such as waxing (for preservation), packaging, labelling, or ripening of produce also form part of the food processing industry.
Between 2001-02 and 2016-17, production of food grains grew annually at 1.7% on average. Production of horticulture crops surpassed food grains with an average growth rate of 4.8%. While production has been increasing over the years, surplus produce tends to go waste at various stages such as procurement, storage, and processing due to lack of infrastructure such as cold storages and food processing units.
Source: Horticulture Statistics at a Glance 2017, Union Budget 2018-19; PRS.
Losses high among perishables such as fruits and vegetables
Crop losses ranged between 7-16% among fruits and around 5% among cereals in 2015. The highest losses were witnessed in case of guava, followed by mango, which are perishable fruits. Perishables such as fruits and vegetables are more prone to losses as compared to cereals. Such crop losses can occur during operations such as harvesting, thrashing, grading, drying, packaging, transportation, and storage depending upon the commodity.
It was estimated that the annual value of harvest and post-harvest losses of major agricultural products at the national level was Rs 92,651 crore in 2015. The Standing Committee on Agriculture (2017) stated that such wastage can be reduced with adequate food processing facilities.
Sources: Annual Report 2016-17, Ministry of Food Processing Industries; PRS.
Inadequate food processing infrastructure
As previously discussed, perishables such as fruits and vegetables are more prone to damages as compared to cereals. Due to inadequate processing facilities in close proximity, farmers may be unable to hold their produce for a long time. Hence, they may be forced to sell their produce soon after harvest, irrespective of the prevailing market situations. Expert committees have recommended that agri-logistics such as cold chain infrastructure and market linkages should be strengthened.
Cold chain infrastructure: Cold chain infrastructure includes processing units, cold storages, and refrigerated vans. As of 2014, out of a required cold storage capacity of 35 million metric tonnes (MT), almost 90% (31.8 million MT) of the capacity was available (see Table 1). However, cold storage needs to be coupled with logistical support to facilitate smooth transfer of harvested value from farms to distant locations. This includes: (i) pack-houses for packaging and preparing fresh produce for long distance transport, (ii) refrigerated transport such as reefer vehicles, and (iii) ripening chambers to ripen raw produce before marketing. For instance, bananas which are harvested raw may be ripened in these chambers before being marketed.
While there are sufficient cold storages, there are wide gaps in the availability of other associated infrastructure. This implies that even though almost 90% (32 million tonnes) of cold storage capacity is available, only 15% of the required refrigerated transport exists. Further, the shortfall in the availability of infrastructure necessary for safe handling of farm produce, like pack-houses and ripening chambers, is over 90%.
Table 1: Gaps in cold chain infrastructure (2014)
| Facility | Required | Available | Gap | % gap |
| Cold storage (in million MT) |
35.1 |
31.8 | 3.2 |
9.3% |
| Pack-houses |
70,080 |
249 | 69,831 |
99.6% |
| Reefer vehicles |
61,826 |
9,000 | 52,826 |
85.4% |
| Ripening chambers |
9,131 |
812 | 8,319 |
91.1% |
To minimise post-harvest losses, the Standing Committee (2017) recommended that a country-wide integrated cold chain infrastructure network at block and district levels should be created. It further recommended that a Cold Chain Coordination and Monitoring Committee should be constituted at the district-level. The Standing Committee also recommended that farmers need to be trained in value addition activities such as sorting, grading, and pre-cooling harvested produce through facilities such as freezers and ripening chambers.
Between 2008 and 2017, 238 cold chain projects were sanctioned under the Scheme for Integrated Cold Chain and Value Addition Infrastructure. Grants worth Rs 1,775 crore were approved for these projects. Of this amount, Rs 964 crore (54%) has been released as of January 2018. Consequently, out of the total projects sanctioned, 114 (48%) are completed. The remaining 124 projects are currently under implementation.
Transport Facilities: Currently, majority of food grains and certain quantities of tea, potato, and onion are transported through railways. The Committee on Doubling Farmers Income had recommended that railways needs to upgrade its logistics to facilitate the transport of fresh produce directly to export hubs. This includes creation of adjoining facilities for loading and unloading, and distribution to road transport.
Mega Food Parks: The Mega Food Parks scheme was launched in 2008. It seeks to facilitate setting up of food processing units. These units are to be located at a central processing centre with infrastructure required for processing, packaging, quality control labs, and trade facilitation centres.
As of March 2018, out of the 42 projects approved, 10 were operational. The Standing Committee on Agriculture noted certain reasons for delay in implementation of projects under the scheme. These include: (i) difficulty in getting loans from banks for the project, (ii) delay in obtaining clearances from the state governments and agencies for roads, power, and water at the project site, (iii) lack of special incentives for setting up food processing units in Mega Food Parks, and (iv) unwillingness of the co-promoters in contributing their share of equity.
Further, the Standing Committee stated that as the scheme requires a minimum area of 50 acres, it does not to promote smaller or individual food processing and preservation units. It recommended that smaller agro-processing clusters near production areas must be promoted. The Committee on Doubling Farmers Income recommended establishment of processing and value addition units at strategic places. This includes rural or production areas for pulses, millets, fruits, vegetables, dairy, fisheries, and poultry in public private-partnership mode.
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.
