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The Evolutionary Game of Stakeholders’ Coordination Mechanism of New Energy Power Construction PPP Project: A China Case

Author

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  • Lei Gao

    (School of Economics and Management, Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Changping, Beijing 102206, China)

  • Zhen-Yu Zhao

    (School of Economics and Management, Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Changping, Beijing 102206, China)

Abstract

The government, investors, and the public have formed a dynamic multi-game relationship on the Public-Private-Partnership (PPP) project, but few studies include them in a system to study their win–win solutions. Firstly, we constructed a tripartite game model of the government, investors, and the public based on evolutionary game theory. Secondly, the evolutionary process of tripartite strategy behaviors was studied with the system dynamics (SD) model. Finally, the impact of changes in key factors on behavior strategies was studied through sensitivity analysis. The results show the following: (1) In the outsourcing of new energy and power construction PPP projects, the three parties will eventually reach the equilibrium state of {government supervision, public participation, investors effort}, the three parties achieve a win–win situation and the project benefits are the highest at this time, and the public participation will play an important role in promoting the smooth outsourcing of PPP projects. (2) The strategic choices of the government, investors, and the public are sensitive to changes in the corresponding exogenous variables. (3) The security factor plays a crucial role in the choice of public strategy. The public’s choice is not only affected by its own income and cost, but also by the amount of compensation promised by the government and the estimated damage caused by the investor.

Suggested Citation

  • Lei Gao & Zhen-Yu Zhao, 2020. "The Evolutionary Game of Stakeholders’ Coordination Mechanism of New Energy Power Construction PPP Project: A China Case," Sustainability, MDPI, vol. 12(3), pages 1-24, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:1045-:d:315403
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    1. Song, Jinbo & Jin, Lulu & Zhao, Yunpeng & Hu, Wenjin, 2017. "Using bargaining-game model to negotiate compensation for the early termination of BOT highway projects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 197-209.
    2. Guangbin Wang & Yingxia Xue & Mirosław Jan Skibniewski & Jiule Song & Hao Lu, 2018. "Analysis of Private Investors Conduct Strategies by Governments Supervising Public-Private Partnership Projects in the New Media Era," Sustainability, MDPI, vol. 10(12), pages 1-26, December.
    3. Jumbe, Charles B.L. & Mkondiwa, Maxwell, 2013. "Comparative analysis of biofuels policy development in Sub-Saharan Africa: The place of private and public sectors," Renewable Energy, Elsevier, vol. 50(C), pages 614-620.
    4. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    5. Xie, Hualin & Wang, Wei & Zhang, Xinmin, 2018. "Evolutionary game and simulation of management strategies of fallow cultivated land: A case study in Hunan province, China," Land Use Policy, Elsevier, vol. 71(C), pages 86-97.
    6. Lei Gao & Zhen-Yu Zhao, 2018. "System Dynamics Analysis of Evolutionary Game Strategies between the Government and Investors Based on New Energy Power Construction Public-Private-Partnership (PPP) Project," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    7. Song, Jinbo & Sun, Yan & Jin, Lulu, 2017. "PESTEL analysis of the development of the waste-to-energy incineration industry in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 276-289.
    8. He, Jiaxin & Lin, Boqiang, 2019. "Assessment of waste incineration power with considerations of subsidies and emissions in China," Energy Policy, Elsevier, vol. 126(C), pages 190-199.
    9. Richard Burke & Istemi Demirag, 2017. "Risk transfer and stakeholder relationships in Public Private Partnerships," Accounting Forum, Taylor & Francis Journals, vol. 41(1), pages 28-43, March.
    10. Long Li & Zhongfu Li & Lei Jiang & Guangdong Wu & Daojin Cheng, 2018. "Enhanced Cooperation among Stakeholders in PPP Mega-Infrastructure Projects: A China Study," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
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