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Green Building Design and Sustainable Development Optimization Strategy Based on Evolutionary Game Theory Model

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  • Yujing Si

    (College of Economics and Management, Taiyuan University of Technology, Jinzhong 030600, China)

  • Yi Yang

    (College of Economics and Management, Taiyuan University of Technology, Jinzhong 030600, China
    College of Management, Zhejiang University, Hangzhou 310058, China)

  • Ze Shao

    (College of Economics and Management, Taiyuan University of Technology, Jinzhong 030600, China)

Abstract

This study introduces an evolutionary game model to investigate the strategic interaction among government regulatory agencies, shopping center investors, and tenants in the global energy-saving renovation market. The focus is on three innovative aspects. Firstly, the model reveals that positive tenant behavior can stimulate investors’ participation in energy-saving renovation projects by triggering potential market demand, thereby establishing a dynamic balance between supply and demand. This viewpoint has been previously overlooked in energy renovation research. Secondly, the model demonstrates the dynamic transformation of government regulatory strategies. In the early stages of market development, direct intervention through subsidies and penalties is crucial, and investors’ decisions are constrained by both returns and costs. When returns exceed the cost premium, investors actively participate, and policy incentives lower early cost barriers to promote market expansion. As the market matures, a transition toward policy guidance optimizes sustainable outcomes. Thirdly, extensive numerical simulations have confirmed the existence of multiple stable equilibrium states under different incentive and cost conditions, providing new evidence for the stability and adaptability of the energy-saving renovation market. These findings significantly advance the theoretical understanding of multi-stakeholder interactions in green building transformation and provide practical guidance for developing adaptive and effective policy frameworks.

Suggested Citation

  • Yujing Si & Yi Yang & Ze Shao, 2025. "Green Building Design and Sustainable Development Optimization Strategy Based on Evolutionary Game Theory Model," Sustainability, MDPI, vol. 17(6), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2649-:d:1614085
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    References listed on IDEAS

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    Cited by:

    1. Jingqing Hong & Isabelle Chan & Pei Ma, 2025. "Towards an Integrated Socio-Ecological Approach in Green Building Transitions: A Systematic Literature Review," Sustainability, MDPI, vol. 17(12), pages 1-34, June.

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