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Measuring Rice Farmer’s Pesticide Overuse Practice and the Determinants: A Statistical Analysis Based on Data Collected in Jiangsu and Anhui Provinces of China

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  • Jianhua Wang

    (School of Business, Jiangnan University, Wuxi 214122, China
    Food Safety Research Base of Jiangsu Province, Jiangnan University, Wuxi 214122, China)

  • May Chu

    (Department of Government and Public Administration, The Chinese University of Hong Kong, Hong Kong, China)

  • Yuting Ma

    (School of Economics and Management, Wuhan University, Wuhan 430072, China
    Economic Development Research Center, Wuhan University, Wuhan 430072, China)

Abstract

Understanding the extent of pesticide overuse and what drives rice farmers to overuse pesticide in agricultural production theoretically and empirically is imperative to increase farmers’ income, promote agricultural transformation and agricultural sustainable development. In this paper, we examined the phenomenon and pattern of pesticides overuse based on the data collected from 861 rice farmers in Jiangsu and Anhui, two provinces in China. By applying the Cobb-Douglas production function (C-D production function) and the damage control model, we estimated the marginal productivity of pesticides. We also adopted the Binary Probit model to further explore factors leading to overuse of pesticide among farmers. Our findings suggested that the marginal productivity of pesticides is close to zero, indicating that there is an excessive use of pesticides in the surveyed areas. According to the Binary Probit model, we also discovered that female farmers, farmers with knowledge about pesticide toxicity, pesticide residue and farmers who hold the view that massive use of pesticide is inimical to the environment, and farmers who participate in pesticide training organized by the government, are more likely to overuse pesticide. On the contrary, experienced farmers have a lower chance of overusing pesticides. Possible explanations to the above findings may be that applying pesticides in accordance with the instructions causes overusing and farmers who are loss-averse, in order to avoid the risk of income loss that may be caused by disease and insect pests, and keep its own income stable, will still increase the amount of pesticide application. It also indicates that farmers are insensitive to increased pesticide overuse.

Suggested Citation

  • Jianhua Wang & May Chu & Yuting Ma, 2018. "Measuring Rice Farmer’s Pesticide Overuse Practice and the Determinants: A Statistical Analysis Based on Data Collected in Jiangsu and Anhui Provinces of China," Sustainability, MDPI, vol. 10(3), pages 1-17, March.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:677-:d:134339
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    References listed on IDEAS

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    Cited by:

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    3. Hakan Savaş Sazak & Melis Zeybek, 2022. "The modified maximum likelihood estimators for the parameters of the regression model under bivariate median ranked set sampling," Computational Statistics, Springer, vol. 37(3), pages 1069-1109, July.
    4. Lan Tran & Theodoros Skevas & Laura McCann, 2023. "Measuring pesticide overuse and its determinants: Evidence from Vietnamese rice and fruit farms," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(3), pages 417-437, July.
    5. Inga C. Melchior & Jens Newig, 2021. "Governing Transitions towards Sustainable Agriculture—Taking Stock of an Emerging Field of Research," Sustainability, MDPI, vol. 13(2), pages 1-27, January.
    6. Xie, Hualin & Huang, Yingqian, 2021. "Influencing factors of farmers' adoption of pro-environmental agricultural technologies in China: Meta-analysis," Land Use Policy, Elsevier, vol. 109(C).
    7. May Chu, 2020. "Horses for courses: China's accommodative approach to food standard‐setting in response to the internationalization of regulation," Regulation & Governance, John Wiley & Sons, vol. 14(3), pages 514-530, July.
    8. Mingyue Li & Yu Liu & Yuhe Huang & Lianbei Wu & Kai Chen, 2022. "Impacts of Risk Perception and Environmental Regulation on Farmers’ Sustainable Behaviors of Agricultural Green Production in China," Agriculture, MDPI, vol. 12(6), pages 1-20, June.

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