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ORIGINAL RESEARCH article

Front. Sustain. Food Syst.
Sec. Agricultural and Food Economics
Volume 8 - 2024 | doi: 10.3389/fsufs.2024.1407961
This article is part of the Research Topic Towards Sustainable Development Goal of Zero Hunger: Exploring the Dynamic Relationships between Food Pricing, Agriculture, and Food Security View all 18 articles

Impact of Regional Pest Control on Pesticide Application in China from a Perceived Risks Perspective

Provisionally accepted
Bin Xu Bin Xu 1Fanzhu Kong Fanzhu Kong 2*
  • 1 School of Business，Linyi University, Linyi, China
  • 2 School of Economics and Management, Suqian University, Suqian, China

The final, formatted version of the article will be published soon.

    The Regional Pest Control program represents a strategic intervention aimed at optimizing pesticide use in crop production, thereby mitigating the environmental impact of agricultural non-point source pollution from pesticides and fostering the development of high-quality agriculture. This study examines the influence of farmers' perceived risks on the adoption of the Regional Pest Control program and evaluates its effect on pesticide application across a nationally representative dataset from Heilongjiang, Jiangsu, Anhui, Hubei, and Sichuan provinces. To account for unobserved heterogeneity, an endogenous switching regression model was employed.The findings reveal that farmers' perceived risks associated with the Regional Pest Control program significantly deter its adoption. Furthermore, the program has been effective not only in reducing the frequency of pesticide applications but also in increasing the usage of pesticides with lower acute toxicity levels. Notably, the impact of the Regional Pest Control program on pesticide application demonstrates considerable variation in accordance with farmers' risk attitudes.

    Keywords: Regional Pest Control program, Endogenous switching regression, perceived risks, pesticide application practices, Agricultural non-point source pollution

    Received: 27 Mar 2024; Accepted: 25 Jul 2024.

    Copyright: © 2024 Xu and Kong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Fanzhu Kong, School of Economics and Management, Suqian University, Suqian, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.