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Evolutionary Game Analysis of the Supervision Behavior for Public-Private Partnership Projects with Public Participation

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  • Congdong Li
  • Xiaoli Li
  • Yu Wang

Abstract

The public can directly or indirectly participate in the PPP (public-private partnership) projects and then has an impact on the project profit and public or private behavior. To explore the influence of the public participation of the PPP projects supervision behavior, this paper analyzes the mutual evolutionary regularity of the private sector and government supervision department and the influence of public participation level on public and private behavior based on evolutionary game theory. The results show that the supervision strategy is not chosen when the supervision cost of government supervision department is greater than the supervision benefit; it can make private sector consciously provide the high-quality public products/services with the improvement of public participation level. Therefore, the government should reduce the cost of public participation and improve the public participation level and influence through the application of the Internet, big data, and other advanced technologies, in order to restrain the behavior of the private sector and improve the supervision efficiency.

Suggested Citation

  • Congdong Li & Xiaoli Li & Yu Wang, 2016. "Evolutionary Game Analysis of the Supervision Behavior for Public-Private Partnership Projects with Public Participation," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-8, October.
    • Handle: RePEc:hin:jnlmpe:1760837
    DOI: 10.1155/2016/1760837
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    Cited by:

    1. Jiahuan He & Xinggang Luo & Zhongliang Zhang & Yang Yu, 2021. "Strategic Analysis of Participants in the Provision of Elderly Care Services—An Evolutionary Game Perspective," IJERPH, MDPI, vol. 18(16), pages 1-27, August.
    2. Ziqian Luo & Junjie Li & Zezhou Wu & Shenghan Li & Guoqiang Bi, 2022. "Investigating the Driving Factors of Public Participation in Public-Private Partnership (PPP) Projects—A Case Study of China," IJERPH, MDPI, vol. 19(9), pages 1-20, April.
    3. Zhiyong Zhang & Xiaodie Song & Yongqiang Shi, 2023. "Evolutionary Game Analysis of Behavior Strategies of Multiple Stakeholders in an Elderly Care Service System," IJERPH, MDPI, vol. 20(5), pages 1-22, February.
    4. Yingxia Xue & Fang Liu & Guangbin Wang & Jungang Shao, 2023. "Research on Strategy Evolution of Contractor and Resident in Construction Stage of Old Community Renovation Project," Sustainability, MDPI, vol. 15(2), pages 1-20, January.

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