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An evolutionary game for analysis of implementation strategies in inter-regional diffusion of clean technology

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  • Yang, Yong-cong
  • Liu, Hui-ting
  • Liu, Li-bing

Abstract

Green transition driven by clean technology diffusion attaches importance to sustainable development. Therefore, choosing the optimal strategy in the inter-regional diffusion of clean technology has attracted the attention of local governments. In this regard, developed regions leading the R&D activities of clean technology can choose to fund or not fund diffusion, and developing regions can adopt absorption strategy or substitution strategy as well. An evolutionary game model was developed in this paper to analyze the stable strategies of local governments in the inter-regional diffusion of clean technology. In general, there are four possible stable equilibrium points. The result indicates that a collaboration relationship aiming at technology transfer among regions is likely to be established when developed regions and developing regions gain more from funding diffusion and subsidizing absorption, respectively. Especially, an increase of incentives from the central government, as well as an increase of cost performing independent clean R&D activities, improves the inter-regional diffusion network. This paper, therefore, provides a mathematical approach to examine the interaction of clean technology diffusion, and sheds light on actor behavior in games of inter-regional coordination.

Suggested Citation

  • Yang, Yong-cong & Liu, Hui-ting & Liu, Li-bing, 2024. "An evolutionary game for analysis of implementation strategies in inter-regional diffusion of clean technology," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
  • Handle: RePEc:eee:soceps:v:95:y:2024:i:c:s0038012124002088
    DOI: 10.1016/j.seps.2024.102009
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    References listed on IDEAS

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    1. Fernández, Ana María & Ferrándiz, Esther & Medina, Jennifer, 2022. "The diffusion of energy technologies. Evidence from renewable, fossil, and nuclear energy patents," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    2. Francesco Caselli & Wilbur John Coleman, 2001. "Cross-Country Technology Diffusion: The Case of Computers," American Economic Review, American Economic Association, vol. 91(2), pages 328-335, May.
    3. Raffaele Paci & Francesco Pigliaru, 2002. "Technological Diffusion, Spatial Spillovers and Regional Convergence in Europe," Advances in Spatial Science, in: Juan R. Cuadrado-Roura & Martí Parellada (ed.), Regional Convergence in the European Union, chapter 12, pages 273-292, Springer.
    4. Pu-yan Nie, 2007. "Selection games in Economics," Applied Economics Letters, Taylor & Francis Journals, vol. 14(3), pages 223-225.
    5. Kumar, Rajesh & Agarwala, Arun, 2016. "Renewable energy technology diffusion model for techno-economics feasibility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1515-1524.
    6. Marcel Bednarz & Tom Broekel, 2019. "The relationship of policy induced R&D networks and inter-regional knowledge diffusion," Journal of Evolutionary Economics, Springer, vol. 29(5), pages 1459-1481, November.
    7. Yang, Yong-cong & Nie, Pu-yan & Liu, Hui-ting & Shen, Ming-hao, 2018. "On the welfare effects of subsidy game for renewable energy investment: Toward a dynamic equilibrium model," Renewable Energy, Elsevier, vol. 121(C), pages 420-428.
    8. Gong, Guan & Keller, Wolfgang, 2003. "Convergence and polarization in global income levels: a review of recent results on the role of international technology diffusion," Research Policy, Elsevier, vol. 32(6), pages 1055-1079, June.
    9. Lianyan Xu & Dechun Huang & Zhengqi He & Jie Cao, 2023. "Evolutionary Game Analysis of the Innovation and Diffusion of Water-Saving Technology," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 9(04), pages 1-29, December.
    10. Mulder, Peter & de Groot, Henri L. F. & Hofkes, Marjan W., 2003. "Explaining slow diffusion of energy-saving technologies; a vintage model with returns to diversity and learning-by-using," Resource and Energy Economics, Elsevier, vol. 25(1), pages 105-126, February.
    11. Eghbali, Mohammad-Ali & Rasti-Barzoki, Morteza & Safarzadeh, Soroush, 2022. "A hybrid evolutionary game-theoretic and system dynamics approach for analysis of implementation strategies of green technological innovation under government intervention," Technology in Society, Elsevier, vol. 70(C).
    12. Skare, Marinko & Soriano, Domingo Riberio, 2021. "Technological and knowledge diffusion link: An international perspective 1870–2019," Technology in Society, Elsevier, vol. 66(C).
    13. dos Santos, L.L.C. & Canha, L.N. & Bernardon, D.P., 2018. "Projection of the diffusion of photovoltaic systems in residential low voltage consumers," Renewable Energy, Elsevier, vol. 116(PA), pages 384-401.
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