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Evolutionary Game Theory and the Simulation of Green Building Development Based on Dynamic Government Subsidies

Author

Listed:
  • Ye Gao

    (College of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China)

  • Renfu Jia

    (College of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China)

  • Yi Yao

    (College of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China)

  • Jiahui Xu

    (College of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China)

Abstract

The carbon emissions of the construction industry pose a significant challenge to implementing China’s carbon peaking and carbon neutrality goals. This study considered how to promote stable green building (GB) development. First, evolutionary game theory (EGT) was applied to examine the interaction mechanism of complex behaviors between governments and developers, constructing two scenarios of static and dynamic subsidies. Second, we proposed the ideal state where the government does not give funding subsidies and developers take the initiative to build GBs. On this basis, the simulation method was used to verify the game models and primary conclusions. Finally, a detailed sensitivity analysis of selected parameters was undertaken. The results demonstrated that subsidy policy phase-outs could help in the development of GBs; the probability of an ideal state was positively correlated with government supervision and punishment, and it was negatively correlated with government funding subsidies. The research results can be used as a reference for the government to improve incentive measures and decision support for stakeholders to adjust their strategies.

Suggested Citation

  • Ye Gao & Renfu Jia & Yi Yao & Jiahui Xu, 2022. "Evolutionary Game Theory and the Simulation of Green Building Development Based on Dynamic Government Subsidies," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7294-:d:838741
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    References listed on IDEAS

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    Cited by:

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    2. Li, Qianwen & Qian, Tingyu & Wang, Jiaqi & Long, Ruyin & Chen, Hong & Sun, Chuanwang, 2023. "Social “win-win” promotion of green housing under the four-subject evolutionary game," Energy Economics, Elsevier, vol. 127(PA).
    3. Jieli Hu & Tieli Wang, 2023. "Strategies of Participants in the Carbon Trading Market—An Analysis Based on the Evolutionary Game," Sustainability, MDPI, vol. 15(14), pages 1-24, July.

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