IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i8p3438-d1123171.html
   My bibliography  Save this article

Can Carbon Trading Promote Low-Carbon Transformation of High Energy Consumption Enterprises?—The Case of China

Author

Listed:
  • Peishu Chen

    (School of Mathematics and Big Data, Chaohu University, Chaohu 238000, China)

  • Yu He

    (School of Economics, Nanjing University of Finance and Economics, Nanjing 210023, China)

  • Kai Yue

    (School of Economics, Nanjing University of Finance and Economics, Nanjing 210023, China)

  • Guochang Fang

    (School of Economics, Nanjing University of Finance and Economics, Nanjing 210023, China)

Abstract

This paper explores the effect of carbon trading on low-carbon transformation of high energy consumption enterprises in China. Based on the mechanism of interaction and restriction among high energy consumption enterprises, carbon verification agencies and the government, a tripartite evolutionary game model is constructed. The three-dimensional dynamic system is built to analyze the behavior patterns of the three parties. The evolution path of the tripartite game is visualized, and the low-carbon transformation states of high energy consumption enterprises in different situations are described. The results show that the high energy consumption enterprises, verification organization and the government cannot reach the optimal game equilibrium (low-carbon transformation, verification and supervision) temporarily when seeking their own interests. The corresponding measures should be taken with different situations of the tripartite game. No matter what strategy the government chooses, the low-carbon transformation could be promoted by carbon trading through carbon verification mechanism.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3438-:d:1123171
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/8/3438/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/8/3438/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhu, Bangzhu & Xu, Chenxin & Wang, Ping & Zhang, Lin, 2022. "How does internal carbon pricing affect corporate environmental performance?," Journal of Business Research, Elsevier, vol. 145(C), pages 65-77.
    2. Guiliang Tian & Suwan Yu & Zheng Wu & Qing Xia, 2022. "Study on the Emission Reduction Effect and Spatial Difference of Carbon Emission Trading Policy in China," Energies, MDPI, vol. 15(5), pages 1-20, March.
    3. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    4. Dong, Zhaoyingzi & Xia, Chuyu & Fang, Kai & Zhang, Weiwen, 2022. "Effect of the carbon emissions trading policy on the co-benefits of carbon emissions reduction and air pollution control," Energy Policy, Elsevier, vol. 165(C).
    5. Liu, Changyu & Song, Yadong & Wang, Wei & Shi, Xunpeng, 2023. "The governance of manufacturers’ greenwashing behaviors: A tripartite evolutionary game analysis of electric vehicles," Applied Energy, Elsevier, vol. 333(C).
    6. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    7. Yiqing Li & Weiguo Yang & Lixin Tian & Jie Yang, 2018. "An Evaluation of Investment in a PV Power Generation Project in the Gobi Desert Using a Real Options Model," Energies, MDPI, vol. 11(1), pages 1-16, January.
    8. Yingbo Qin & Wenping Wang, 2022. "Research on Ecological Compensation Mechanism for Energy Economy Sustainable Based on Evolutionary Game Model," Energies, MDPI, vol. 15(8), pages 1-14, April.
    9. Xifeng Wu & Sijia Zhao & Yue Shen & Hatef Madani & Yu Chen, 2020. "A Combined Multi-Level Perspective and Agent-Based Modeling in Low-Carbon Transition Analysis," Energies, MDPI, vol. 13(19), pages 1-21, September.
    10. Patrick T. Brown & Ken Caldeira, 2017. "Greater future global warming inferred from Earth’s recent energy budget," Nature, Nature, vol. 552(7683), pages 45-50, December.
    11. Bo Wang & Limao Wang & Shuai Zhong & Ning Xiang & Qiushi Qu, 2022. "Low-Carbon Transformation of Electric System against Power Shortage in China: Policy Optimization," Energies, MDPI, vol. 15(4), pages 1-18, February.
    12. 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.
    13. Zhou, Ya & Shan, Yuli & Liu, Guosheng & Guan, Dabo, 2018. "Emissions and low-carbon development in Guangdong-Hong Kong-Macao Greater Bay Area cities and their surroundings," Applied Energy, Elsevier, vol. 228(C), pages 1683-1692.
    14. Yingbin Zhou & Siqi Lv & Jianlin Wang & Junbo Tong & Zhong Fang, 2022. "The Impact of Green Taxes on the Carbon Emission Efficiency of China’s Construction Industry," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    15. Hong, Zitao & Peng, Zhen & Zhang, Liumei, 2022. "Game analysis on the choice of emission trading among industrial enterprises driven by data," Energy, Elsevier, vol. 239(PE).
    16. George Lãzãroiu & Armenia Androniceanu & Iulia Grecu & Gheorghe Grecu & Octav Neguri?ã, 2022. "Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing," Oeconomia Copernicana, Institute of Economic Research, vol. 13(4), pages 1047-1080, December.
    17. Yingkai Yin & Zhihui Jiang & Yazhou Liu & Zheng Yu, 2019. "Factors Affecting Carbon Emission Trading Price: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(15), pages 3433-3451, December.
    18. Sun, Chuanwang & Ding, Dan & Fang, Xingming & Zhang, Huiming & Li, Jianglong, 2019. "How do fossil energy prices affect the stock prices of new energy companies? Evidence from Divisia energy price index in China's market," Energy, Elsevier, vol. 169(C), pages 637-645.
    19. Xian, Yujiao & Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2019. "Would China’s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," Applied Energy, Elsevier, vol. 235(C), pages 978-986.
    20. Niamir, Leila & Filatova, Tatiana & Voinov, Alexey & Bressers, Hans, 2018. "Transition to low-carbon economy: Assessing cumulative impacts of individual behavioral changes," Energy Policy, Elsevier, vol. 118(C), pages 325-345.
    21. Xie, Rui & Fu, Wei & Yao, Siling & Zhang, Qi, 2021. "Effects of financial agglomeration on green total factor productivity in Chinese cities: Insights from an empirical spatial Durbin model," Energy Economics, Elsevier, vol. 101(C).
    Full references (including those not matched with items on IDEAS)

    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. Fang, Guochang & Chen, Gang & Yang, Kun & Yin, Weijun & Tian, Lixin, 2023. "Can green tax policy promote China's energy transformation?— A nonlinear analysis from production and consumption perspectives," Energy, Elsevier, vol. 269(C).
    2. Jin, Tao & Jiang, Yulian & Liu, Xingwen, 2023. "Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    3. Xiongwei Quan & Gaoshan Zuo & Helin Sun, 2022. "Risk Perception Thresholds and Their Impact on the Behavior of Nearby Residents in Waste to Energy Project Conflict: An Evolutionary Game Analysis," Sustainability, MDPI, vol. 14(9), pages 1-20, May.
    4. Zhuozhuo Gou & Yansong Deng, 2021. "Dynamic Model of Collaboration in Multi-Agent System Based on Evolutionary Game Theory," Games, MDPI, vol. 12(4), pages 1-19, October.
    5. Fisher, Eric ON. & Kakkar, Vikas, 2004. "On the evolution of comparative advantage in matching models," Journal of International Economics, Elsevier, vol. 64(1), pages 169-193, October.
    6. Faggini, Marisa & Parziale, Anna, 2011. "Fitness landscape and tax planning: NK model for fiscal federalism," MPRA Paper 33770, University Library of Munich, Germany.
    7. Matthew McGinty, 2010. "International Environmental Agreements as Evolutionary Games," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(2), pages 251-269, February.
    8. Dijkstra, Bouwe R. & de Vries, Frans P., 2006. "Location choice by households and polluting firms: An evolutionary approach," European Economic Review, Elsevier, vol. 50(2), pages 425-446, February.
    9. Kuechle, Graciela, 2011. "Persistence and heterogeneity in entrepreneurship: An evolutionary game theoretic analysis," Journal of Business Venturing, Elsevier, vol. 26(4), pages 458-471, July.
    10. Qianwen Wu & Qiangqiang Wang & Yongwu Dai, 2023. "Analysis of Strategy Selection in Third-Party Governance of Rural Environmental Pollution," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    11. Jie Jin & Jun Zhuang & Qiuhong Zhao, 2018. "Supervision after Certification: An Evolutionary Game Analysis for Chinese Environmental Labeled Enterprises," Sustainability, MDPI, vol. 10(5), pages 1-22, May.
    12. Yingxia Xue & Fang Liu & Guangbin Wang & Jungang Shao, 2023. "Research on Strategy Evolution of Contractor and Resident in Construction Stage of Old Community Renovation Project," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    13. Wei Duan & Hengli Cao & Desheng Xu, 2023. "Research on the Impact of New Parts Price Increase on the Stability of Closed-Loop Supply Chain," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    14. Serdar Ş. Güner, 2004. "Aegean Territorial Waters Conflict: An Evolutionary Narrative," Conflict Management and Peace Science, Peace Science Society (International), vol. 21(4), pages 297-312, September.
    15. Ling Cao & Jie Yin, 2023. "Research on Sharing Behavior Strategy of Cultural Heritage Institutions Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 15(13), pages 1-23, June.
    16. Yingxiu Zhao & Sitong Zhou, 2023. "The Impact of Two-Sided Market Platforms on Participants’ Trading Strategies: An Evolutionary Game Analysis," Mathematics, MDPI, vol. 11(8), pages 1-18, April.
    17. Mansoor Saburov, 2022. "On Discrete-Time Replicator Equations with Nonlinear Payoff Functions," Dynamic Games and Applications, Springer, vol. 12(2), pages 643-661, June.
    18. Huarong Zhou & Shengbing He & Qinke Lyu, 2022. "A tripartite evolutionary game analysis of contract manufacturer's brand strategy decisions in global value chains," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2237-2248, September.
    19. Yang, Kun & Wang, Wan & Xiong, Wan, 2021. "Promoting the sustainable development of infrastructure projects through responsible innovation: An evolutionary game analysis," Utilities Policy, Elsevier, vol. 70(C).
    20. Caihua Zhou & Hualin Xie & Xinmin Zhang, 2019. "Does Fiscal Policy Promote Third-Party Environmental Pollution Control in China? An Evolutionary Game Theoretical Approach," Sustainability, MDPI, vol. 11(16), pages 1-18, August.

    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:16:y:2023:i:8:p:3438-:d:1123171. 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.