Research on the recycling and disposal of Chinese pesticide packaging waste based on evolutionary game theory

Abstract

This study aims to determine the optimal strategy and driving factors of the critical nodes of pesticide packaging waste recycling by constructing the recycling process of “village collection–town transport–county management.” Counties, towns, and villages are the central nodes of collection, coordination, and communication in the recycling process. Their strategy selection and influencing factor analysis are related to the development of recycling. The county processing center, township transit center, and village recycling center were selected to construct a game model, and strategy and parameter assumptions were made to obtain the optimal strategy combination. The results showed that strict supervision, professional transportation and strict implementation are the best strategies for counties, towns and villages, respectively. Simulation analysis confirmed that factors such as cost, reward restricted the strategy selection of each subject. The higher the supervision, transport, and input costs, the lower the enthusiasm of counties, towns, and villages to participate in recycling, respectively. Reasonable control of reward could help each participant choose a stable strategy. The study provided the idea of a pilot before promotion for the government and emphasized the importance of controlling incentive policies and relative costs to improve the recycling process of pesticide packaging waste.

Keywords:

• Pesticide packaging waste
• recycling treatment
• tripartite evolutionary game

Author contributions

All authors contributed to the study’s conception and design. Shibin Zhang performed material preparation, Jiale Gao and Haining Wang performed data collection, and analysis. Jiale Gao wrote the first draft of the manuscript, and Shibin Zhang commented on previous versions. All authors read and approved the final manuscript.

Data availability statement

The data supporting this study’s findings are available from the corresponding author, Jiale Gao, upon reasonable request.

Additional information

Funding

This work was supported by the Social Science Planning Research Project of Shandong Province (20CGLJ18).