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Game Analysis of Green Technology Innovation Ecosystem Evolution at Carbon Peaking

Author

Listed:
  • Zhengsong Zhou

    (Graduate School, Jiangsu University, Zhenjiang 212013, China)

  • Mingxing Li

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

  • Xiaomeng Chi

    (School of Engineering Management, Jiangsu University Cranfield Tech Futures Graduate Institute, Zhenjiang 212013, China)

  • Asad Ullah Khan

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

Abstract

Green technological innovation is an essential pathway for transforming extensive production methods characterized by “high energy and high emissions”, achieving corporate green transformation, and ascending the value chain. Adhering to the scientific principles of energy conservation, emission reduction, and low-carbon development, this study, set against the backdrop of carbon peak, constructs a green technological innovation ecosystem comprising government, enterprises, and consumers. It analyzes the evolutionary processes of each stakeholder and the system under different scenarios, further simulating the impact of various factors on system equilibrium through numerical simulations. The research reveals that proactive government regulation can guide enterprises toward green technological innovation and the development of low-carbon production; an increase in consumers’ green preferences helps to expand the green consumer market and stimulates enterprises’ willingness to innovate greenly; and the initial strong willingness of each stakeholder significantly influences the system’s evolutionary path. Based on evolutionary game theory, this paper enriches the theory of green technological innovation ecosystems and provides references for overcoming barriers such as the difficulty in expanding the green consumer market and the premium pricing of green products during the green consumption process.

Suggested Citation

  • Zhengsong Zhou & Mingxing Li & Xiaomeng Chi & Asad Ullah Khan, 2025. "Game Analysis of Green Technology Innovation Ecosystem Evolution at Carbon Peaking," Sustainability, MDPI, vol. 17(6), pages 1-31, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2728-:d:1615798
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    References listed on IDEAS

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    1. Hao Qin & Hua Zou & Huimin Ji, 2023. "Research on Enterprise Interactive Innovation Balance Decision in Green Manufacturing Innovation Ecosystem," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    2. Chen, Daqiang & Ignatius, Joshua & Sun, Danzhi & Zhan, Shalei & Zhou, Chenyu & Marra, Marianna & Demirbag, Mehmet, 2019. "Reverse logistics pricing strategy for a green supply chain: A view of customers' environmental awareness," International Journal of Production Economics, Elsevier, vol. 217(C), pages 197-210.
    3. Jing Sun & Ningning Zhai & Jichao Miao & Huaping Sun, 2022. "Can Green Finance Effectively Promote the Carbon Emission Reduction in “Local-Neighborhood” Areas?—Empirical Evidence from China," Agriculture, MDPI, vol. 12(10), pages 1-13, September.
    4. Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza & Khosroshahi, Hossein & Altmann, Jörn, 2022. "An evolutionary game-theoretic approach to study the technological transformation of the industrial sector toward renewable electricity procurement: A case study of Iran," Applied Energy, Elsevier, vol. 318(C).
    5. Ulph, Alistair & Ulph, David, 2021. "Environmental policy when consumers value conformity," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    6. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    7. Mingxing Li & Xinxing Wang & Zihao Wang & Babar Maqbool & Abid Hussain & Waris Ali Khan, 2022. "Bibliometric Analysis of the Research on the Impact of Environmental Regulation on Green Technology Innovation Based on CiteSpace," IJERPH, MDPI, vol. 19(20), pages 1-26, October.
    8. Wen Li & Chenying Liu & Qizhi Yang & Yulan You & Zhihang Zhuo & Xiaolin Zuo, 2023. "Factors Influencing Farmers’ Vertical Collaboration in the Agri-Chain Guided by Leading Enterprises: A Study of the Table Grape Industry in China," Agriculture, MDPI, vol. 13(10), pages 1-14, September.
    9. Sarkar, Apurbo & Azim, Jony Abdul & Asif, Abdullah Al & Qian, Lu & Peau, Anamika Kor, 2021. "Structural equation modeling for indicators of sustainable agriculture: Prospective of a developing country’s agriculture," Land Use Policy, Elsevier, vol. 109(C).
    10. Benny Lianto, 2023. "Identifying Key Assessment Factors for a Company’s Innovation Capability Based on Intellectual Capital: An Application of the Fuzzy Delphi Method," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    11. Xueli Wang & Caizhi Sun & Song Wang & Zhixiong Zhang & Wei Zou, 2018. "Going Green or Going Away? A Spatial Empirical Examination of the Relationship between Environmental Regulations, Biased Technological Progress, and Green Total Factor Productivity," IJERPH, MDPI, vol. 15(9), pages 1-23, September.
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