Mao Xiangyu, Wang Ying, Mao Yichong, Song Haohao
Business School, Jiangsu Second Normal University, Nanjing, China.
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Sci Rep. 2025 Jan 21;15(1):2594. doi: 10.1038/s41598-025-86184-8.
Although the rapid development of new energy vehicles (NEV) has contributed greatly to China's carbon emission reduction, it has also brought about a problem that needs to be solved, namely the effective recycling of waste batteries. Existing recycling of waste batteries is plagued by a series of problems such as a single recycling channel, inconsistent recycling standards, lack of recycling technology, rampant irregular recycling enterprises, and low consumer participation. Meanwhile, due to the immaturity of the recycling market, the lack of clarity of existing regulations, and the lack of supervision and management, the above problems are becoming more and more serious. Therefore, to solve these problems, this paper constructs a four-party stochastic evolutionary game model including government regulators, NEV enterprises, third-party recycling enterprises, and consumers. Focus on analyzing the impact of relevant parameters on the choice of strategies by participants, and put forward proposed countermeasures to promote the effective recycling of waste batteries based on the conclusions.
尽管新能源汽车的快速发展对中国的碳排放减少做出了巨大贡献，但也带来了一个需要解决的问题，即废旧电池的有效回收。现有的废旧电池回收受到一系列问题的困扰，如回收渠道单一、回收标准不一致、回收技术缺乏、不规范回收企业猖獗以及消费者参与度低等。与此同时，由于回收市场不成熟、现有法规不明确以及缺乏监督管理，上述问题日益严重。因此，为了解决这些问题，本文构建了一个包括政府监管部门、新能源汽车企业、第三方回收企业和消费者的四方随机演化博弈模型。重点分析相关参数对参与者策略选择的影响，并根据结论提出促进废旧电池有效回收的对策建议。
