Multi‐agent behavioral strategy game and synergy evolution path of the retired power battery recycling system

Author:

Wang Zhe1,Wu Fan1,Zhang Wenxi2,Ke Sijia3,Wang Xiaobo4

Affiliation:

1. School of Business Nanjing Audit University Nanjing 211815 China

2. School of Statistics and Data Science Nanjing Audit University Nanjing China

3. Finance School Nanjing Audit University Nanjing China

4. Business School Nanjing Xiao Zhuang University Nanjing China

Abstract

AbstractIn the era of transitioning to a low‐carbon economy, China's electric vehicle market is experiencing exponential growth, a trend that is mirrored by the burgeoning market for the recycling of used power batteries. This rapid expansion underscores the urgency of enhancing the power battery recycling system. However, the lack of sufficient engagement from consumers and recyclers in the recycling system currently impedes the formation of a cohesive recycling effort. To tackle this issue, we introduce a tripartite evolutionary game model involving the government, battery recyclers, and consumers. By analyzing the evolutionary stability strategies (ESSs) and their stability conditions, we delineate the synergetic development paths of them. Numerical examples illustrate the model's effectiveness and explore how government incentive policies can affect the strategic decisions of other participants. Our findings suggest that establishing incentive policies by the government in the early stage of the power battery industry is crucial for fostering a synergetic recycling system that is led by the government, involved by the community, and driven by the market.

Funder

Social Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Publisher

Wiley

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