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2023 | OriginalPaper | Buchkapitel

12. Impact of COVID-19 on Agricultural Markets: Assessing the Roles of Commodity Characteristics, Disease Caseload, and Market Reforms

verfasst von : Deepak Varshney, Devesh Roy, J. V. Meenakshi

Erschienen in: Contextualizing the COVID Pandemic in India

Verlag: Springer Nature Singapore

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Abstract

This paper assesses the impact of the spread of COVID-19 and the lockdown on wholesale prices and quantities traded in agricultural markets. We compare whether these impacts differ across non-perishable (wheat) and perishable commodities (tomato and onions), and the extent to which any adverse impacts are mitigated by the adoption of a greater number of agricultural market reform measures. We use a granular data set comprising daily observations for three months from nearly 1000 markets across five states and use a double- and triple-difference estimation strategy. Expectedly, our results differ by type of commodity and period of analysis. While all prices spiked initially in April, they recovered relatively quickly, underscoring the importance of time duration for analysis. Wheat prices were anchored in large part by the minimum support price, while tomato prices were lower in some months. Supply constraints began easing in May with greater market arrivals perhaps reflecting distress sales. Market reform measures did help in insulating farmers from lower prices, but these effects are salient for the perishable goods, and not so much for wheat where the government remained the dominant market player. Taken together, these results point to considerable resilience in agricultural markets in dealing with the COVID-19 shock, buffered by adequate policy support.

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Fußnoten
1
The lockdown started on March 25, our dataset began on April 1.
 
2
Uttar Pradesh also implemented the declaration of warehouses and cold storages as deemed markets, while Rajasthan deregulated the marketing of fruits and vegetables.
 
3
We are unable to confirm whether the two spikes in prices noticed in 2019 were data entry errors.
 
4
We are unable to exploit daily variation in caseloads because of the patchy nature of this data. However, given the exponential nature of the spread of Covid-19, the choice of using caseloads effective June 30 does not matter to the analysis as it exploits variation in high versus low caseload districts; the absolute number of infections does not matter. We acknowledge however that this may not completely capture the fact of localized outbreaks as migrants returned from the cities to rural areas.
 
5
For each crop, year and outcome combination, we conducted a test of the null hypothesis that the series contained a unit root. We were able reject the null hypothesis for 11 of 12 cases, the exception being of tomato prices in 2019. As a further robustness check, both Eqs. (12.1) and (2) were re-estimated after including date fixed effects; all the results presented here remain robust to this inclusion.
 
6
There is no confound in the data between high COVID caseload districts and states that adopted more market reforms.
 
7
This survey also reported that 38% of surveyed households experienced an increase in prices of grains and pulses in the month of May.
 
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Metadaten
Titel
Impact of COVID-19 on Agricultural Markets: Assessing the Roles of Commodity Characteristics, Disease Caseload, and Market Reforms
verfasst von
Deepak Varshney
Devesh Roy
J. V. Meenakshi
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-4906-9_12

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