IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0304368.html

Game analysis on PPP model operation of abandoned mines ecological restoration under the innovation of central government’s reward and punishment system in China

Author

Listed:
  • Dongmei Feng
  • Liang Wang
  • Xiumei Duan

Abstract

There is a huge funding gap in the abandoned mines ecological restoration in China. It is of great research value to explore how PPP model can better introduce social capital into the low-profit ecological restoration of abandoned mines. Based on the innovation perspective of the central government’s reward and punishment system, this paper constructs an evolutionary game model of "local government-social capital", analyzes the interaction and behavior mechanism of core stakeholders in the operation process of abandoned mines ecological restoration PPP mode, and discusses the influence of evolutionary equilibrium strategy and parameters change on evolutionary strategy under different scenarios by Matlab simulation. The research shows that the abandoned mines ecological restoration needs the support of the central government. When the local government lightly punishes the low-quality service of social capital, the central government needs to pay higher costs to promote all parties to actively participate in the operation and supervision of the PPP project. The revenue and cost of government supervision, the operating subsidy for social capital and the cost saved by social capital in providing bad service are the key factors affecting the evolution of the game between government and social capital. Punishment can effectively spur social capital to keep the contract and operate in the project, but the punishment effect will be ineffective without government supervision. Finally, some suggestions are put forward, such as establishing a long-term supervision mechanism and a reasonable income mechanism for PPP projects, increasing penalties for violations, attracting third parties to reduce supervision costs and strengthening communication between the two parties, so as to make the project take into account the economic performance of social capital and the social welfare of government departments, and achieve dual Pareto improvement.

Suggested Citation

  • Dongmei Feng & Liang Wang & Xiumei Duan, 2024. "Game analysis on PPP model operation of abandoned mines ecological restoration under the innovation of central government’s reward and punishment system in China," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-21, May.
  • Handle: RePEc:plo:pone00:0304368
    DOI: 10.1371/journal.pone.0304368
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0304368
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0304368&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0304368?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Moles, Peter & Williams, Geoffrey, 1995. "Privately funded infrastructure in the UK: Participants' risk in the Skye Bridge project," Transport Policy, Elsevier, vol. 2(2), pages 129-134, April.
    2. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    3. Zhang, Suyong & Wang, Chuanxu & Yu, Chao, 2019. "The evolutionary game analysis and simulation with system dynamics of manufacturer's emissions abatement behavior under cap-and-trade regulation," Applied Mathematics and Computation, Elsevier, vol. 355(C), pages 343-355.
    4. Shi, Yingying & Wei, Zixiang & Shahbaz, Muhammad & Zeng, Yongchao, 2021. "Exploring the dynamics of low-carbon technology diffusion among enterprises: An evolutionary game model on a two-level heterogeneous social network," Energy Economics, Elsevier, vol. 101(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Allah Abadi, Amir Fazli & Ataee-pour, Majid, 2025. "Evaluating public-private partnerships in mining: An evolutionary game theory approach to strategic dynamics and regulatory impacts," Resources Policy, Elsevier, vol. 104(C).

    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. 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).
    2. 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.
    3. Liying Yu & Hui Xu & Ziyuan Zhang, 2024. "Tripartite evolutionary game analysis of supply chain low‐carbon transformation considering the coupling of carbon tax and subsidy regulations," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(2), pages 702-725, March.
    4. Dongqing Chen & Chaoqun Ma & Liwei Zhang & Lijie Li, 2025. "Unraveling the role of data sharing in open finance diffusion: an evolutionary game approach on complex networks," Future Business Journal, Springer, vol. 11(1), pages 1-28, December.
    5. Wang, Yang & Li, Dezhi & Wei, Yigang & Wang, Wentao, 2025. "Promoting continuous emissions monitoring systems to curb rent-seeking: Evolutionary game insights," Energy Economics, Elsevier, vol. 148(C).
    6. Du, Qiang & Wang, Yalei & Pang, Qiaoyu & Hao, Tingting & Zhou, Yuqing, 2023. "The dynamic analysis on low-carbon building adoption under emission trading scheme," Energy, Elsevier, vol. 263(PC).
    7. Jia Xue & Youshi He & Peng Gao & Yin Tang & Hanyang Xu, 2022. "Multi-Agent Evolutionary Game Model: Corporate Low-Carbon Manufacturing, Chinese Government Supervision, and Public Media Investigation," Sustainability, MDPI, vol. 14(9), pages 1-24, May.
    8. Rui Song & Wen Shi & Wanyi Qin & Xingjian Xue, 2023. "Exploring the interplay of new energy vehicle enterprises, consumers, and government in the context of the "dual carbon" target: An evolutionary game and simulation analysis," PLOS ONE, Public Library of Science, vol. 18(9), pages 1-20, September.
    9. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).
    10. Lai, Chong & Li, Rui & Gao, Xiujuan, 2024. "Bank competition with technological innovation based on evolutionary games," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 742-759.
    11. Wang, Jie & He, Ya-qun & Wang, Heng-guang & Wu, Ru-fei, 2023. "Low-carbon promotion of new energy vehicles: A quadrilateral evolutionary game," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    12. Wang, Jingyi & Xu, Hua & Wang, Minggang, 2025. "Technology diffusion considering technological progress and multiple policy combinations based on evolutionary game theory," Technology in Society, Elsevier, vol. 81(C).
    13. Wenyuan Sun & Xingyi Ye & Bo Wang & Jianxin Wang, 2024. "Evolution of the Behavioural Strategies of Stakeholders in Green Supply within Government Compensation Mechanisms," Sustainability, MDPI, vol. 16(16), pages 1-25, August.
    14. Li, Yue & Li, Guofu & Xu, Anfeng & Yao, Fengmin, 2025. "Research on the collaborative mechanism of a data trading market based on a four-party evolutionary game in the context of digital intelligence," Socio-Economic Planning Sciences, Elsevier, vol. 100(C).
    15. Hongxia Sun & Kexin Wang & Xinjian Du, 2025. "Cooperative emission reduction behaviour of supply chain enterprises under cap-and-trade and government subsidies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(1), pages 2549-2579, January.
    16. 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.
    17. 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.
    18. 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).
    19. 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.
    20. 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.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0304368. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.