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Green Credit of China’s Coal Power Enterprises during Green Transformation: A Tripartite Evolutionary Game Analysis

Author

Listed:
  • Feng Cui

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Chuanfeng Han

    (School of Economics and Management, Tongji University, Shanghai 200092, China
    School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Pihui Liu

    (School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Minmin Teng

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China)

Abstract

China’s green credit has mostly been invested in new energy areas with positive environmental externalities in recent years, while coal power enterprises have been neglected. This paper constructs a tripartite evolutionary game model among government, coal power enterprises, and banks to clarify the key factors and mechanisms for coal power enterprises undergoing green transformation. The research results show that: Firstly, to realize the spontaneous green transformation of coal power enterprises, spontaneous profitability must be achieved before the removal of policy incentives, which is reflected in the continuous increase in electricity price, carbon emission trading price, and decrease in green transformation cost. Secondly, the green credit adjustment factor cannot determine whether a company chooses to undertake green transition, but it provides a valuable window of green transition for companies. When the relative benefits of green transformation projects are greater than the relative costs, coal power enterprises will undergo green transformation spontaneously. Thirdly, lower green credit interest rates are not better. An optimal green credit interest rate exists, that allows coal power enterprises to obtain the longest transition window in which to achieve spontaneous profitability for green transition projects.

Suggested Citation

  • Feng Cui & Chuanfeng Han & Pihui Liu & Minmin Teng, 2022. "Green Credit of China’s Coal Power Enterprises during Green Transformation: A Tripartite Evolutionary Game Analysis," Energies, MDPI, vol. 15(16), pages 1-20, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:16:p:5911-:d:888646
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    as
    1. Nanda, Ramana & Nicholas, Tom, 2014. "Did bank distress stifle innovation during the Great Depression?," Journal of Financial Economics, Elsevier, vol. 114(2), pages 273-292.
    2. Enxian Wang & Xinghe Liu & Jiapeng Wu & Danting Cai, 2019. "Green Credit, Debt Maturity, and Corporate Investment—Evidence from China," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    3. Yao, Shouyu & Pan, Yuying & Sensoy, Ahmet & Uddin, Gazi Salah & Cheng, Feiyang, 2021. "Green credit policy and firm performance: What we learn from China," Energy Economics, Elsevier, vol. 101(C).
    4. Song, Malin & Xie, Qianjiao & Shen, Zhiyang, 2021. "Impact of green credit on high-efficiency utilization of energy in China considering environmental constraints," Energy Policy, Elsevier, vol. 153(C).
    5. Wen, Huwei & Lee, Chien-Chiang & Zhou, Fengxiu, 2021. "Green credit policy, credit allocation efficiency and upgrade of energy-intensive enterprises," Energy Economics, Elsevier, vol. 94(C).
    6. Jingna Kou & Fengjun Sun & Wei Li & Jie Jin, 2022. "Could China Declare a “Coal Phase-Out”? An Evolutionary Game and Empirical Analysis Involving the Government, Enterprises, and the Public," Energies, MDPI, vol. 15(2), pages 1-24, January.
    7. Feng Wang & Siyue Yang & Ann Reisner & Na Liu, 2019. "Does Green Credit Policy Work in China? The Correlation between Green Credit and Corporate Environmental Information Disclosure Quality," Sustainability, MDPI, vol. 11(3), pages 1-15, January.
    8. Ting Zhang & Shuaishuai Cao & Lingying Pan & Chenyu Zhou, 2020. "A Policy Effect Analysis of China’s Energy Storage Development Based on a Multi-Agent Evolutionary Game Model," Energies, MDPI, vol. 13(23), pages 1-35, November.
    9. Romain Berrou & Nicola Ciampoli & Vladimiro Marini, 2019. "Defining Green Finance: Existing Standards and Main Challenges," Palgrave Studies in Impact Finance, in: Marco Migliorelli & Philippe Dessertine (ed.), The Rise of Green Finance in Europe, chapter 0, pages 31-51, Palgrave Macmillan.
    10. Fugui Dong & Lei Shi & Xiaohui Ding & Yuan Li & Yongpeng Shi, 2019. "Study on China’s Renewable Energy Policy Reform and Improved Design of Renewable Portfolio Standard," Energies, MDPI, vol. 12(11), pages 1-23, June.
    11. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    12. Sheu, Jiuh-Biing & Chen, Yenming J., 2012. "Impact of government financial intervention on competition among green supply chains," International Journal of Production Economics, Elsevier, vol. 138(1), pages 201-213.
    13. Amore, Mario Daniele & Schneider, Cédric & Žaldokas, Alminas, 2013. "Credit supply and corporate innovation," Journal of Financial Economics, Elsevier, vol. 109(3), pages 835-855.
    14. Xing, Chao & Zhang, Yuming & Wang, Yuan, 2020. "Do Banks Value Green Management in China? The Perspective of the Green Credit Policy," Finance Research Letters, Elsevier, vol. 35(C).
    15. Zhang, Dongyang, 2021. "Green credit regulation, induced R&D and green productivity: Revisiting the Porter Hypothesis," International Review of Financial Analysis, Elsevier, vol. 75(C).
    16. Kim, Jeayoon & Park, Kwangwoo, 2016. "Financial development and deployment of renewable energy technologies," Energy Economics, Elsevier, vol. 59(C), pages 238-250.
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