Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model
Abstract 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 ser...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-86184-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832585704021950464 |
|---|---|
| author | Xiangyu Mao Ying Wang Yichong Mao Haohao Song |
| author_facet | Xiangyu Mao Ying Wang Yichong Mao Haohao Song |
| author_sort | Xiangyu Mao |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-4e974204cd84453f8ce7e502d9f44a90 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-4e974204cd84453f8ce7e502d9f44a902025-01-26T12:32:56ZengNature PortfolioScientific Reports2045-23222025-01-0115112310.1038/s41598-025-86184-8Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game modelXiangyu Mao0Ying Wang1Yichong Mao2Haohao Song3Business School, Jiangsu Second Normal UniversityCollege of Economics and Management, Nanjing University of Aeronautics and AstronauticsBusiness School, Jiangsu Second Normal UniversityBusiness School, Nanjing Xiaozhuang UniversityAbstract 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.https://doi.org/10.1038/s41598-025-86184-8New energy vehiclesRecycling of waste batteriesGovernment regulatory policiesFour-party stochastic evolutionary game |
| spellingShingle | Xiangyu Mao Ying Wang Yichong Mao Haohao Song Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model Scientific Reports New energy vehicles Recycling of waste batteries Government regulatory policies Four-party stochastic evolutionary game |
| title | Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model |
| title_full | Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model |
| title_fullStr | Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model |
| title_full_unstemmed | Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model |
| title_short | Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model |
| title_sort | research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model |
| topic | New energy vehicles Recycling of waste batteries Government regulatory policies Four-party stochastic evolutionary game |
| url | https://doi.org/10.1038/s41598-025-86184-8 |
| work_keys_str_mv | AT xiangyumao researchonacceleratingtherecyclingefficiencyofwastebatteriesfornewenergyvehiclesbasedonastochasticevolutionarygamemodel AT yingwang researchonacceleratingtherecyclingefficiencyofwastebatteriesfornewenergyvehiclesbasedonastochasticevolutionarygamemodel AT yichongmao researchonacceleratingtherecyclingefficiencyofwastebatteriesfornewenergyvehiclesbasedonastochasticevolutionarygamemodel AT haohaosong researchonacceleratingtherecyclingefficiencyofwastebatteriesfornewenergyvehiclesbasedonastochasticevolutionarygamemodel |