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Can mechanized pesticide application help reduce pesticide use and increase crop yield Evidence from rice farmers in Jiangsu province China961.91 kB
Published VersionCC BY V4.0, Open Access
Journal article
Can mechanized pesticide application help reduce pesticide use and increase crop yield? Evidence from rice farmers in Jiangsu province, China
International Journal of Agricultural Sustainability, Vol.21(1), pp.1-14
2023
Abstract
This study is devoted to analyzing the effects of outsourcing machinery-intensive farming activities vis-a-vis using mechanized equipment in-house on pesticide use, utilizing cross-sectional data collected from rice farmers in Jiangsu province, China. The control function approach is utilized to address the endogeneity of the decision to outsource pesticide application or complete the task in-house. Our results suggest that outsourcing pesticide application decreases pesticide expenditure but in-house application using mechanized equipment increases it. Specifically, outsourcing pesticide application reduces pesticide expenditure by about 81 yuan per mu or around 0.18 yuan per kilogram of rice produced. In comparison, the in-house application using mechanized equipment increases pesticide expenditure by 118 yuan per mu or by 0.14 yuan per kilogram of rice output. We also find that both outsourcing and in-house pesticide applications increase rice yield.
Details
- Title
- Can mechanized pesticide application help reduce pesticide use and increase crop yield? Evidence from rice farmers in Jiangsu province, China
- Authors
- Junpeng Li - Huaiyin Normal UniversityPuneet Vatsa - Lincoln UniversityWanglin Ma (Corresponding Author) - Lincoln University
- Publication details
- International Journal of Agricultural Sustainability, Vol.21(1), pp.1-14
- Publisher
- Earthscan Ltd.
- Date published
- 2023
- DOI
- 10.1080/14735903.2023.2227809
- ISSN
- 1747-762X; 1473-5903
- Copyright note
- © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
- Data Availability
- The data that support the findings of this study are available from Junpeng Li upon request.
- Grant note
- This work was supported by National Natural Science Foundation of China: [Grant Number 72103075]; Jiangsu Provincial Department of Education: [Grant Number 2020SJA1763].
- Organisation Unit
- School of Business and Creative Industries
- Language
- English
- Record Identifier
- 991148836902621
- Output Type
- Journal article
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- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Agriculture, Multidisciplinary
- Green & Sustainable Science & Technology
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