Recently, there have been reports of price crashes and distress sales in case of farm produce, such as tomatoesmangoes, 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.

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.

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%

Source: Standing Committee on Agriculture 2018; PRS.

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.

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).