{"title":"2019冠状病毒病与印度农场管理:来自班加罗尔城乡结合部的证据","authors":"Verena Preusse, Meike Wollni","doi":"10.1111/1477-9552.70007","DOIUrl":null,"url":null,"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.","PeriodicalId":14994,"journal":{"name":"Journal of Agricultural Economics","volume":"321 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"COVID‐19 and Farm Management in India: Evidence From the Rural–Urban Interface of Bangalore\",\"authors\":\"Verena Preusse, Meike Wollni\",\"doi\":\"10.1111/1477-9552.70007\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":14994,\"journal\":{\"name\":\"Journal of Agricultural Economics\",\"volume\":\"321 1\",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Agricultural Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1111/1477-9552.70007\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURAL ECONOMICS & POLICY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agricultural Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1111/1477-9552.70007","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURAL ECONOMICS & POLICY","Score":null,"Total":0}
COVID‐19 and Farm Management in India: Evidence From the Rural–Urban Interface of Bangalore
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.
期刊介绍:
Published on behalf of the Agricultural Economics Society, the Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment.
Each issue of the JAE contains articles, notes and book reviews as well as information relating to the Agricultural Economics Society. Published 3 times a year, it is received by members and institutional subscribers in 69 countries. With contributions from leading international scholars, the JAE is a leading citation for agricultural economics and policy. Published articles either deal with new developments in research and methods of analysis, or apply existing methods and techniques to new problems and situations which are of general interest to the Journal’s international readership.