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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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    1. Wang, Jun & Qin, Yanjun & Zhou, Jingyang, 2021. "Incentive policies for prefabrication implementation of real estate enterprises: An evolutionary game theory-based analysis," Energy Policy, Elsevier, vol. 156(C).
    2. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    3. Wang, Jianhui & Zhou, Zhi & Botterud, Audun, 2011. "An evolutionary game approach to analyzing bidding strategies in electricity markets with elastic demand," Energy, Elsevier, vol. 36(5), pages 3459-3467.
    4. Yi Gao & Gaosheng Yang & Qiuhao Xie, 2020. "Spatial-Temporal Evolution and Driving Factors of Green Building Development in China," Sustainability, MDPI, vol. 12(7), pages 1-21, April.
    5. Onuoha, Iheanyichukwu Joachim & Aliagha, Godwin Uche & Rahman, Mohd Shahril Abdul, 2018. "Modelling the effects of green building incentives and green building skills on supply factors affecting green commercial property investment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 814-823.
    6. Ji, Shou-feng & Zhao, Dan & Luo, Rong-juan, 2019. "Evolutionary game analysis on local governments and manufacturers' behavioral strategies: Impact of phasing out subsidies for new energy vehicles," Energy, Elsevier, vol. 189(C).
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    Cited by:

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    2. 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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