IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i16p5911-d888646.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/16/5911/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/16/5911/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peishu Chen & Yu He & Kai Yue & Guochang Fang, 2023. "Can Carbon Trading Promote Low-Carbon Transformation of High Energy Consumption Enterprises?—The Case of China," Energies, MDPI, vol. 16(8), pages 1-18, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Da Gao & Xinlin Mo & Kun Duan & Yi Li, 2022. "Can Green Credit Policy Promote Firms’ Green Innovation? Evidence from China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    2. Hu, Yi & Jin, Shuchang & Ni, Juan & Peng, Kai & Zhang, Lei, 2023. "Strategic or substantive green innovation: How do non-green firms respond to green credit policy?," Economic Modelling, Elsevier, vol. 126(C).
    3. Su, Chi-Wei & Li, Wenhao & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Can green credit reduce the emissions of pollutants?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 205-219.
    4. Yi Chen & Zhongwen Xu & Xuehao Wang & Yining Yang, 2023. "How does green credit policy improve corporate social responsibility in China? An analysis based on carbon‐intensive listed firms," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(2), pages 889-904, March.
    5. Tan, Xiujie & Yan, Yaxue & Dong, Yuyang, 2022. "Peer effect in green credit induced green innovation: An empirical study from China's Green Credit Guidelines," Resources Policy, Elsevier, vol. 76(C).
    6. Ge, Yongbo & Zhu, Yuexiao, 2022. "Boosting green recovery: Green credit policy in heavily polluted industries and stock price crash risk," Resources Policy, Elsevier, vol. 79(C).
    7. Qianyi Du & Haoran Pan & Shuang Liang & Xiaoxue Liu, 2023. "Can Green Credit Policies Accelerate the Realization of the Dual Carbon Goal in China? Examination Based on an Endogenous Financial CGE Model," IJERPH, MDPI, vol. 20(5), pages 1-26, March.
    8. Huang, Zhehao & Liao, Gaoke & Li, Zhenghui, 2019. "Loaning scale and government subsidy for promoting green innovation," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 148-156.
    9. Xu, Aiting & Zhu, Yuhan & Wang, Wenpu, 2023. "Micro green technology innovation effects of green finance pilot policy—From the perspectives of action points and green value," Journal of Business Research, Elsevier, vol. 159(C).
    10. Zhang, Cheng & Zhou, Bo, 2023. "Where should the money go? The green effect of governmental guidance when sustainable finance impacts brown firms," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    11. Wenjie Zhang & Mingyong Hong & Juan Li & Fuhong Li, 2021. "An Examination of Green Credit Promoting Carbon Dioxide Emissions Reduction: A Provincial Panel Analysis of China," Sustainability, MDPI, vol. 13(13), pages 1-21, June.
    12. Qiaoxin Xie & Yu Zhang & Lei Chen, 2022. "Does green credit policy promote innovation: A case of China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2704-2714, October.
    13. Zhou, Guangyou & Zhu, Jieyu & Luo, Sumei, 2022. "The impact of fintech innovation on green growth in China: Mediating effect of green finance," Ecological Economics, Elsevier, vol. 193(C).
    14. Zhou, Bo & Zhang, Cheng, 2023. "When green finance meets banking competition: Evidence from hard-to-abate enterprises of China," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    15. Zhang, Shengling & Wu, Zihao & He, Yinan & Hao, Yu, 2022. "How does the green credit policy affect the technological innovation of enterprises? Evidence from China," Energy Economics, Elsevier, vol. 113(C).
    16. Luo, Sumei & Yu, Shenghui & Zhou, Guangyou, 2021. "Does green credit improve the core competence of commercial banks? Based on quasi-natural experiments in China," Energy Economics, Elsevier, vol. 100(C).
    17. Shao, Hanhua & Wang, Yuansheng & Wang, Yao & Li, Yuanjia, 2022. "Green credit policy and stock price crash risk of heavily polluting enterprises: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 271-287.
    18. Shuanglian Chen & Zhehao Huang & Benjamin M. Drakeford & Pierre Failler, 2019. "Lending Interest Rate, Loaning Scale, and Government Subsidy Scale in Green Innovation," Energies, MDPI, vol. 12(23), pages 1-22, November.
    19. Huang, Hongyun & Mbanyele, William & Wang, Fengrong & Song, Malin & Wang, Yuzhang, 2022. "Climbing the quality ladder of green innovation: Does green finance matter?," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    20. Giau Bui, Dien & Chen, Yehning & Lin, Chih-Yung & Lin, Tse-Chun, 2021. "Risk-taking of bank CEOs and corporate innovation," Journal of International Money and Finance, Elsevier, vol. 115(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:16:p:5911-:d:888646. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.