COVID‐19 and Farm Management in India: Evidence From the Rural–Urban Interface of Bangalore

ABSTRACT We examine farm management decisions of smallholder farmers during the first wave of COVID‐19 infections in India between June 2020 and March 2021. We use panel data from 256 farm households in the rural–urban interface of Bangalore from a pre‐COVID‐19 face‐to‐face survey and a phone survey at the end of the first COVID‐19 wave. We combine this survey data with sub‐district and village level data on the number of COVID‐19 infections as well as rainfall data. Results of fixed effects panel data models show that higher COVID‐19 exposure, measured by numbers of sub‐district and village level COVID‐19 infections, positively affects the number of sustainable agricultural practices adopted. Conversely, higher COVID‐19 exposure is related to a reduction in the share of crops treated with external inputs such as fertilisers and pesticides. The results suggest that disruptions related to COVID‐19 exposure levels restricted farmers' access to agricultural inputs, prompting a shift towards sustainable agricultural practices.

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Publication Details

Journal
Journal of Agricultural Economics
Published
2025-09-22
DOI
https://doi.org/10.1111/1477-9552.70007
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

COVID‐19 and Farm Management in India: Evidence From the Rural–Urban Interface of Bangalore

Meike Wollni, Verena Preuße
Journal of Agricultural Economics
COVID-19 Pandemic Impacts
article

COVID‐19 and Farm Management in India: Evidence From the Rural–Urban Interface of Bangalore

Meike Wollni, Verena Preuße
article en

Abstract

ABSTRACT We examine farm management decisions of smallholder farmers during the first wave of COVID‐19 infections in India between June 2020 and March 2021. We use panel data from 256 farm households in the rural–urban interface of Bangalore from a pre‐COVID‐19 face‐to‐face survey and a phone survey at the end of the first COVID‐19 wave. We combine this survey data with sub‐district and village level data on the number of COVID‐19 infections as well as rainfall data. Results of fixed effects panel data models show that higher COVID‐19 exposure, measured by numbers of sub‐district and village level COVID‐19 infections, positively affects the number of sustainable agricultural practices adopted. Conversely, higher COVID‐19 exposure is related to a reduction in the share of crops treated with external inputs such as fertilisers and pesticides. The results suggest that disruptions related to COVID‐19 exposure levels restricted farmers' access to agricultural inputs, prompting a shift towards sustainable agricultural practices.

Journal of Agricultural EconomicsVol. 77(1)
University of Göttingen (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 66%
COVID-19 Pandemic Impacts
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COVID‐19 and Farm Management in India: Evidence From the Rural–Urban Interface of Bangalore — Meike Wollni, Verena Preuße · Journal of Agricultural Economics (2025) | TGRS Research Map | TGRS