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A network-based evolutionary analysis of the diffusion of cleaner energy substitution in enterprises: The roles of PEST factors

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  • Li, Fangyi
  • Cao, Xin
  • Ou, Rui

Abstract

In countries highly dependent on coal and oil, the substitution of relatively cleaner energy for fossil fuels in industrial and residential sectors (cleaner energy substitution, or CES) is conducive to technology advancement and pollution abatement. Since CES is a process met with resistance by a portion of enterprises in China, this study will investigate the roles of external factors by simulating CES diffusion in enterprise networks. The PEST (political, economic, social, and technological factors) analysis framework, referencing corporation strategy management, is employed to select potential external factors of CES diffusion. The results show that factors will affect the diffusion of CES by changing the payoffs of different enterprises. Reducing the costs of cleaner energy and related equipment will promote diffusion. Besides, improving consumer preferences for green products, consolidating responses to public complaints on pollution and promoting information exchange among enterprises are beneficial to diffusion. It is novel that this paper demonstrates that diffusion will be hindered by supply interruptions of cleaner energy, which means that stable supply after a wide range of adoption is important. Focusing on PEST factors, this study introduces a useful framework to investigate the potential factors of enterprises’ green decisions and behaviours and offers fresh insights into promoting CES adoption and energy transition in developing countries.

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  • Li, Fangyi & Cao, Xin & Ou, Rui, 2021. "A network-based evolutionary analysis of the diffusion of cleaner energy substitution in enterprises: The roles of PEST factors," Energy Policy, Elsevier, vol. 156(C).
    • Handle: RePEc:eee:enepol:v:156:y:2021:i:c:s030142152100255x
    DOI: 10.1016/j.enpol.2021.112385
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    as
    1. Li, Meng & Jin, Tianyu & Liu, Shenglong & Zhou, Shaojie, 2021. "The cost of clean energy transition in rural China: Evidence based on marginal treatment effects," Energy Economics, Elsevier, vol. 97(C).
    2. Chen, Han & Chen, Wenying, 2019. "Potential impact of shifting coal to gas and electricity for building sectors in 28 major northern cities of China," Applied Energy, Elsevier, vol. 236(C), pages 1049-1061.
    3. Özdemir, Özge & Hobbs, Benjamin F. & van Hout, Marit & Koutstaal, Paul R., 2020. "Capacity vs energy subsidies for promoting renewable investment: Benefits and costs for the EU power market," Energy Policy, Elsevier, vol. 137(C).
    4. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    5. Liu, HuiHui & Zhang, ZhongXiang & Chen, Zhan-Ming & Dou, DeSheng, 2019. "The impact of China's electricity price deregulation on coal and power industries: Two-stage game modeling," Energy Policy, Elsevier, vol. 134(C).
    6. Fan, Ruguo & Dong, Lili, 2018. "The dynamic analysis and simulation of government subsidy strategies in low-carbon diffusion considering the behavior of heterogeneous agents," Energy Policy, Elsevier, vol. 117(C), pages 252-262.
    7. Athanasios Kolios & George Read, 2013. "A Political, Economic, Social, Technology, Legal and Environmental (PESTLE) Approach for Risk Identification of the Tidal Industry in the United Kingdom," Energies, MDPI, vol. 6(10), pages 1-23, September.
    8. Petter Holme, 2019. "Rare and everywhere: Perspectives on scale-free networks," Nature Communications, Nature, vol. 10(1), pages 1-3, December.
    9. Nunes, L.J.R. & Matias, J.C.O. & Catalão, J.P.S., 2015. "Analysis of the use of biomass as an energy alternative for the Portuguese textile dyeing industry," Energy, Elsevier, vol. 84(C), pages 503-508.
    10. Ang, James B. & Fredriksson, Per G. & Sharma, Swati, 2020. "Individualism and the adoption of clean energy technology," Resource and Energy Economics, Elsevier, vol. 61(C).
    11. Halleck Vega, Solmaria & Mandel, Antoine, 2018. "Technology Diffusion and Climate Policy: A Network Approach and its Application to Wind Energy," Ecological Economics, Elsevier, vol. 145(C), pages 461-471.
    12. Wang, Qun & Wang, Hanchen & Zhang, Zhuxi & Li, Yumeng & Liu, Yu & Perc, Matjaž, 2018. "Heterogeneous investments promote cooperation in evolutionary public goods games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 570-575.
    13. Lixia Liu & Yuchao Zhu & Shubing Guo, 2020. "The Evolutionary Game Analysis of Multiple Stakeholders in the Low-Carbon Agricultural Innovation Diffusion," Complexity, Hindawi, vol. 2020, pages 1-12, February.
    14. Bing Zhu & Wenping Wang, 2014. "The Evolution of the Strategies of Innovation Cooperation in Scale-Free Network," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-10, March.
    15. Wang, Ge & Li, Yang & Zuo, Jian & Hu, Wenbo & Nie, Qingwei & Lei, Heqian, 2021. "Who drives green innovations? Characteristics and policy implications for green building collaborative innovation networks in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    16. Dong, Xiaoqing & Li, Chaolin & Li, Ji & Wang, Jia & Huang, Wantao, 2010. "A game-theoretic analysis of implementation of cleaner production policies in the Chinese electroplating industry," Resources, Conservation & Recycling, Elsevier, vol. 54(12), pages 1442-1448.
    17. Li, Jingjing & Jiao, Jianling & Tang, Yunshu, 2019. "An evolutionary analysis on the effect of government policies on electric vehicle diffusion in complex network," Energy Policy, Elsevier, vol. 129(C), pages 1-12.
    18. Niu, Dong-xiao & Song, Zong-yun & Xiao, Xin-li, 2017. "Electric power substitution for coal in China: Status quo and SWOT analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 610-622.
    19. Zhang, Yanfang & Zhang, Ming & Liu, Yue & Nie, Rui, 2017. "Enterprise investment, local government intervention and coal overcapacity: The case of China," Energy Policy, Elsevier, vol. 101(C), pages 162-169.
    20. Liu, Dehai & Xiao, Xingzhi & Li, Hongyi & Wang, Weiguo, 2015. "Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework," European Journal of Operational Research, Elsevier, vol. 243(3), pages 974-984.
    21. Zhao, Tian & Liu, Zhixin, 2019. "A novel analysis of carbon capture and storage (CCS) technology adoption: An evolutionary game model between stakeholders," Energy, Elsevier, vol. 189(C).
    22. Ding, Song, 2018. "A novel self-adapting intelligent grey model for forecasting China's natural-gas demand," Energy, Elsevier, vol. 162(C), pages 393-407.
    23. Li, Jingjing & Jiao, Jianling & Tang, Yunshu, 2020. "Analysis of the impact of policies intervention on electric vehicles adoption considering information transmission—based on consumer network model," Energy Policy, Elsevier, vol. 144(C).
    24. Zhao, Rui & Zhou, Xiao & Han, Jiaojie & Liu, Chengliang, 2016. "For the sustainable performance of the carbon reduction labeling policies under an evolutionary game simulation," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 262-274.
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    Cited by:

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