IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i19p12096-d924067.html
   My bibliography  Save this article

Beyond a Spray: Pesticide Application Management in Rural China Based on Quadrilateral Evolutionary Game

Author

Listed:
  • Zilu Zhao

    (Business School, Wenzhou University, Wenzhou 325035, China)

  • Bo Li

    (Business School, Wenzhou University, Wenzhou 325035, China)

Abstract

Organic pesticides (OP) produce very little environmental contamination compared with conventional pesticides, but their use is low in rural China. Interest conflicts among participants are analysed for the first time to improve pesticide application management (PAM). Retailers, whose roles are usually little-mentioned, were found to be irreplaceable and so were included in the model as players. A quadrilateral evolutionary game is constructed for PAM and used data from field research in servey representative areas in rural China to estimate the future situation. It demonstrates that OP cannot be chosen by most farmers under the current policy and market environment. The simulation showed that: (i) The probability and economic loss of retailers when providing high-concentration pesticide recommendations positively impact OP application. (ii) The organic certification cost and the successful application probability both benefit environmental recovery in the short term, while the advantages outweigh the disadvantages in the long run. (iii) The cost of strict regulations negatively correlate with OP application; while the purchase price and the corresponding premium provided by intermediates positively/negatively correlates with OP application. This suggests that the environment would be better protected by increasing farmers’ pesticide knowledge, reducing retailers’ monopoly of influence, and providing subsidies and guidance for organic certification. Moreover, shortening the food supply chain and reducing regulatory costs would also help.

Suggested Citation

  • Zilu Zhao & Bo Li, 2022. "Beyond a Spray: Pesticide Application Management in Rural China Based on Quadrilateral Evolutionary Game," IJERPH, MDPI, vol. 19(19), pages 1-25, September.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12096-:d:924067
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/19/12096/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/19/12096/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yazhen Gong & Kathy Baylis & Robert Kozak & Gary Bull, 2016. "Farmers’ risk preferences and pesticide use decisions: evidence from field experiments in China," Agricultural Economics, International Association of Agricultural Economists, vol. 47(4), pages 411-421, July.
    2. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    3. Xie, Hualin & Wang, Wei & Zhang, Xinmin, 2018. "Evolutionary game and simulation of management strategies of fallow cultivated land: A case study in Hunan province, China," Land Use Policy, Elsevier, vol. 71(C), pages 86-97.
    4. Bakker, L. & Sok, J. & van der Werf, W. & Bianchi, F.J.J.A., 2021. "Kicking the Habit: What Makes and Breaks Farmers' Intentions to Reduce Pesticide Use?," Ecological Economics, Elsevier, vol. 180(C).
    5. Xuesong Zhan & Chaofeng Shao & Rong He & Rongguang Shi, 2021. "Evolution and Efficiency Assessment of Pesticide and Fertiliser Inputs to Cultivated Land in China," IJERPH, MDPI, vol. 18(7), pages 1-21, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qianru Chen & Hualin Xie & Qunli Zhai, 2022. "Management Policy of Farmers’ Cultivated Land Abandonment Behavior Based on Evolutionary Game and Simulation Analysis," Land, MDPI, vol. 11(3), pages 1-23, February.
    2. Hongpeng Guo & Fanhui Sun & Chulin Pan & Baiming Yang & Yin Li, 2021. "The Deviation of the Behaviors of Rice Farmers from Their Stated Willingness to Apply Biopesticides—A Study Carried Out in Jilin Province of China," IJERPH, MDPI, vol. 18(11), pages 1-17, June.
    3. Lei Gao & Zhen-Yu Zhao, 2020. "The Evolutionary Game of Stakeholders’ Coordination Mechanism of New Energy Power Construction PPP Project: A China Case," Sustainability, MDPI, vol. 12(3), pages 1-24, February.
    4. Yun Teng & Peiwen Lin, 2022. "Research on Behavioral Decision-Making of Subjects on Cultivated Land Conservation under the Goal of Carbon Neutrality," Land, MDPI, vol. 11(10), pages 1-25, September.
    5. Caihua Zhou & Hualin Xie & Xinmin Zhang, 2019. "Does Fiscal Policy Promote Third-Party Environmental Pollution Control in China? An Evolutionary Game Theoretical Approach," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    6. Li, Ye & Yang, Tianjian & Zhang, Yu, 2022. "Evolutionary game theory-based system dynamics modeling for community solid waste classification in China," Utilities Policy, Elsevier, vol. 79(C).
    7. Chuansheng Wang & Fulei Shi, 2019. "An Evolutionary Game Model for Industrial Pollution Management under Two Punishment Mechanisms," IJERPH, MDPI, vol. 16(15), pages 1-15, August.
    8. Lichi Zhang & Yanyan Jiang & Junmin Wu, 2022. "Evolutionary Game Analysis of Government and Residents’ Participation in Waste Separation Based on Cumulative Prospect Theory," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    9. Gu, Tianqi & Xu, Weiping & Liang, Hua & He, Qing & Zheng, Nan, 2024. "School bus transport service strategies’ policy-making mechanism – An evolutionary game approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    10. Wang Mingbao & Du Zhiping & Duan Hong, 2017. "Study on Participant Behavior Game of Electronic Products Reverse Supply Chain Based on ECP," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 411-434, October.
    11. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).
    12. Jialu Li & Meiying Yang & Wei Xing & Xuan Zhao, 2018. "Information Acquisition Behavior: An Evolutionary Game Theory Perspective," Dynamic Games and Applications, Springer, vol. 8(2), pages 434-455, June.
    13. Hongxia Sun & Yao Wan & Huirong Lv, 2020. "System Dynamics Model for the Evolutionary Behaviour of Government Enterprises and Consumers in China’s New Energy Vehicle Market," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    14. Song Yang & Jincai Zhuang & Aifeng Wang & Yancai Zhang, 2019. "Evolutionary Game Analysis of Chinese Food Quality considering Effort Levels," Complexity, Hindawi, vol. 2019, pages 1-13, November.
    15. Bergstrom, Theodore C & Stark, Oded, 1993. "How Altruism Can Prevail in an Evolutionary Environment," American Economic Review, American Economic Association, vol. 83(2), pages 149-155, May.
    16. Hopkins, Ed, 1999. "Learning, Matching, and Aggregation," Games and Economic Behavior, Elsevier, vol. 26(1), pages 79-110, January.
    17. Guohui Song & Yongbin Wang, 2021. "Mainstream Value Information Push Strategy on Chinese Aggregation News Platform: Evolution, Modelling and Analysis," Sustainability, MDPI, vol. 13(19), pages 1-17, October.
    18. Sandholm,W.H., 2003. "Excess payoff dynamics, potential dynamics, and stable games," Working papers 5, Wisconsin Madison - Social Systems.
    19. Jin, Tao & Jiang, Yulian & Liu, Xingwen, 2023. "Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    20. Viossat, Yannick, 2008. "Evolutionary dynamics may eliminate all strategies used in correlated equilibrium," Mathematical Social Sciences, Elsevier, vol. 56(1), pages 27-43, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12096-:d:924067. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.