IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i2p1149-d1029419.html
   My bibliography  Save this article

Study on the Evolution of the Game of Willingness to Cooperate between Residents and Separation Enterprises in Waste Separation Considering the Convenience of Separation Facilities

Author

Listed:
  • Lichi Zhang

    (School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212000, China
    School of Electronics and Information, Zhenjiang College, Zhenjiang 212028, China)

  • Yanyan Jiang

    (School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212000, China)

  • Junmin Wu

    (School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212000, China)

Abstract

The distributivity and complexity of separation facilities in waste separation cooperation are incorporated into the factors influencing the payoff of waste separation cooperation. The game payment matrix of waste separation cooperation is constructed based on the distributivity and complexity of separation facilities. The equilibrium solution of waste separation cooperation is obtained through the evolutionary game. The influence of different changes in distributivity and complexity of separation facilities on the willingness to cooperate in waste separation is explored through numerical analysis of cases. The study shows that when the distributivity of separation facilities is certain, the lower the complexity of separation facilities, the higher the willingness of residents and enterprises to cooperate; when the complexity of separation facilities is certain, the willingness of residents and enterprises to cooperate rises and then falls with the increase of distributivity of separation facilities; finally, when the distributivity and complexity of separation facilities change at the same time, the willingness of residents and enterprises to cooperate shows different changes with the different changes of two separation facilities convenience factors.

Suggested Citation

  • Lichi Zhang & Yanyan Jiang & Junmin Wu, 2023. "Study on the Evolution of the Game of Willingness to Cooperate between Residents and Separation Enterprises in Waste Separation Considering the Convenience of Separation Facilities," IJERPH, MDPI, vol. 20(2), pages 1-16, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1149-:d:1029419
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/2/1149/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/2/1149/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lin Shen & Hongyun Si & Lei Yu & Haolun Si, 2019. "Factors Influencing Young People’s Intention toward Municipal Solid Waste Sorting," IJERPH, MDPI, vol. 16(10), pages 1-19, May.
    2. Timlett, R.E. & Williams, I.D., 2008. "Public participation and recycling performance in England: A comparison of tools for behaviour change," Resources, Conservation & Recycling, Elsevier, vol. 52(4), pages 622-634.
    3. Aijun Liu & Maurice Osewe & Huixin Wang & Hang Xiong, 2020. "Rural Residents’ Awareness of Environmental Protection and Waste Classification Behavior in Jiangsu, China: An Empirical Analysis," IJERPH, MDPI, vol. 17(23), pages 1-12, December.
    4. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    5. Amy W. Ando & Anne Y. Gosselin, 2005. "Recycling in Multifamily Dwellings: Does Convenience Matter?," Economic Inquiry, Western Economic Association International, vol. 43(2), pages 426-438, April.
    6. Feiyu Chen & Hong Chen & Xinru Huang & Ruyin Long & Hui Lu & Ting Yue, 2017. "Public Response to the Regulation Policy of Urban Household Waste: Evidence from a Survey of Jiangsu Province in China," Sustainability, MDPI, vol. 9(6), pages 1-23, June.
    7. Tianyang Lou & Deyong Wang & Huili Chen & Dongjie Niu, 2020. "Different Perceptions of Belief: Predicting Household Solid Waste Separation Behavior of Urban and Rural Residents in China," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    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. 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.
    2. Klöckner, Christian Andreas & Oppedal, Inger Olin, 2011. "General vs. domain specific recycling behaviour—Applying a multilevel comprehensive action determination model to recycling in Norwegian student homes," Resources, Conservation & Recycling, Elsevier, vol. 55(4), pages 463-471.
    3. Bernstad, A. & la Cour Jansen, J. & Aspegren, A., 2013. "Door-stepping as a strategy for improved food waste recycling behaviour – Evaluation of a full-scale experiment," Resources, Conservation & Recycling, Elsevier, vol. 73(C), pages 94-103.
    4. Xuxi Wang & Jing Tan, 2022. "The Perception and Attitude of Farmers toward Domestic Waste Classifications: A Case Study on Wusheng County, Sichuan Province, China," IJERPH, MDPI, vol. 19(20), pages 1-14, October.
    5. 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.
    6. Kawther Saeedi, 2024. "Promoting Sustainable Household Engagement in Recycling via Blockchain-Based Loyalty Program," Sustainability, MDPI, vol. 16(21), pages 1-14, October.
    7. 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).
    8. Zhihui Wang & Liangzhen Nie & Eila Jeronen & Lihua Xu & Meiai Chen, 2023. "Understanding the Environmentally Sustainable Behavior of Chinese University Students as Tourists: An Integrative Framework," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    9. 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.
    10. 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.
    11. 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.
    12. Yinglin Wang & Leqi Chen & Jiaxin Zhuang, 2024. "Research on ESG Investment Efficiency Regulation from the Perspective of Reciprocity and Evolutionary Game," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1665-1695, September.
    13. 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.
    14. Sandholm,W.H., 2003. "Excess payoff dynamics, potential dynamics, and stable games," Working papers 5, Wisconsin Madison - Social Systems.
    15. 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).
    16. Jinxiu Pi & Hui Yang & Yadong Shu & Chongyi Zhong & Guanghui Yang, 2020. "The Stability of Two-Community Replicator Dynamics with Discrete Multi-Delays," Mathematics, MDPI, vol. 8(12), pages 1-17, November.
    17. Hui Yu & Wei Wang & Baohua Yang & Cunfang Li, 2019. "Evolutionary Game Analysis of the Stress Effect of Cross-Regional Transfer of Resource-Exhausted Enterprises," Complexity, Hindawi, vol. 2019, pages 1-16, November.
    18. Dong‐dong Wang & Kangzhou Wang, 2022. "Evolutionary game analysis of low‐carbon effort decisions in the supply chain considering fairness concerns," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(5), pages 1224-1239, July.
    19. Wei Wang & Yanbin Li & Jinzhong Li & Yun Li, 2024. "Can pumped-storage power stations stimulate rural revitalization? Evidence from the four-party evolutionary game," Journal of Evolutionary Economics, Springer, vol. 34(3), pages 595-645, July.
    20. Daoyan Guo & Hong Chen & Ruyin Long, 2019. "What Role Should Government Play in the Personal Carbon Trading Market: Motivator or Punisher?," IJERPH, MDPI, vol. 16(11), pages 1-16, May.

    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:20:y:2023:i:2:p:1149-:d:1029419. 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.