IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p10807-d1190661.html
   My bibliography  Save this article

Strategies of Participants in the Carbon Trading Market—An Analysis Based on the Evolutionary Game

Author

Listed:
  • Jieli Hu

    (School of Economics Management and Law, University of South China, Hengyang 421001, China)

  • Tieli Wang

    (School of Economics Management and Law, University of South China, Hengyang 421001, China)

Abstract

To effectively understand the collaborative and evolutionary mechanisms of three stakeholders in carbon trading namely, government, emission reduction enterprises, and emission control enterprises, it is important to identify the factors that affect decision-making behaviors amongst game players, ultimately contributing to the goal of “double carbon”. In this study, we constructed a tripartite game model, analyzing the selection mechanism for game strategies related to carbon trading participants through replicated dynamic equations. We also discussed the main factors that influence the evolutionary and stable outcomes of carbon trading through scenario simulations. Additionally, we introduced prospect theory to examine the impact of risk sensitivity and loss avoidance levels amongst decision-makers on the optimal outcome of the system. Our findings reveal that in the initial game model, the three decision-makers show a cyclical behavior pattern, but the system stabilizes in the optimal equilibrium state (1,1,1) when certain conditions are satisfied. Furthermore, the initial willingness of decision-makers impacts the ability of the game system to reach a stable point. Moreover, larger values for the risk sensitivity coefficient and loss avoidance coefficient can promote the evolution of the game system toward an optimal, stable point. Based on these results, targeted countermeasures are proposed to promote activity within the carbon trading market, such as giving more institutional guarantees to carbon trading and stabilizing the carbon price.

Suggested Citation

  • Jieli Hu & Tieli Wang, 2023. "Strategies of Participants in the Carbon Trading Market—An Analysis Based on the Evolutionary Game," Sustainability, MDPI, vol. 15(14), pages 1-24, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10807-:d:1190661
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/10807/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/14/10807/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Wen Tong & Jianbang Du & Fu Zhao & Dong Mu & John W. Sutherland, 2019. "Optimal Joint Production and Emissions Reduction Strategies Considering Consumers’ Environmental Preferences: A Manufacturer’s Perspective," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
    3. Ryle S. Perera, 2018. "An Evolutionary Game Theory Strategy for Carbon Emission Reduction in the Electricity Market," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-20, December.
    4. Na Yu & Jianghua Chen & Lei Cheng, 2022. "Evolutionary Game Analysis of Carbon Emission Reduction between Government and Enterprises under Carbon Quota Trading Policy," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    5. Zhu, Bangzhu & Zhang, Mengfan & Huang, Liqing & Wang, Ping & Su, Bin & Wei, Yi-Ming, 2020. "Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach," Energy Economics, Elsevier, vol. 85(C).
    6. Raphael Calel & Antoine Dechezleprêtre, 2016. "Environmental Policy and Directed Technological Change: Evidence from the European Carbon Market," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 173-191, March.
    7. repec:wsi:jeapmx:v:20:y:2018:i:04:n:s0219198918500081 is not listed on IDEAS
    8. Lin, Boqiang & Jia, Zhijie, 2020. "Does the different sectoral coverage matter? An analysis of China's carbon trading market," Energy Policy, Elsevier, vol. 137(C).
    9. Satoshi Uchida & Hitoshi Yamamoto & Isamu Okada & Tatsuya Sasaki, 2019. "Evolution of Cooperation with Peer Punishment under Prospect Theory," Games, MDPI, vol. 10(1), pages 1-13, February.
    10. Ye Gao & Renfu Jia & Yi Yao & Jiahui Xu, 2022. "Evolutionary Game Theory and the Simulation of Green Building Development Based on Dynamic Government Subsidies," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    11. Qi Zhu, 2017. "A Perspective of Evolution for Carbon Emissions Trading Market: The Dilemma between Market Scale and Government Regulation," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-7, February.
    12. Li, Shuai & Cai, Jiannan & Feng, Zhuo & Xu, Yifang & Cai, Hubo, 2019. "Government contracting with monopoly in infrastructure provision: Regulation or deregulation?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 506-523.
    13. Cao, Jing & Ho, Mun S. & Ma, Rong & Teng, Fei, 2021. "When carbon emission trading meets a regulated industry: Evidence from the electricity sector of China," Journal of Public Economics, Elsevier, vol. 200(C).
    14. Xin-gang Zhao & Yu-zhuo Zhang, 2018. "The System Dynamics (SD) Analysis of the Government and Power Producers’ Evolutionary Game Strategies Based on Carbon Trading (CT) Mechanism: A Case of China," Sustainability, MDPI, vol. 10(4), pages 1-18, April.
    15. Daozhi Zhao & Jiaqin Hao & Cejun Cao & Hongshuai Han, 2019. "Evolutionary Game Analysis of Three-Player for Low-Carbon Production Capacity Sharing," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    16. Hu, Yucai & Ren, Shenggang & Wang, Yangjie & Chen, Xiaohong, 2020. "Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China," Energy Economics, Elsevier, vol. 85(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. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
    2. Wu, Qingyang & Wang, Yanying, 2022. "How does carbon emission price stimulate enterprises' total factor productivity? Insights from China's emission trading scheme pilots," Energy Economics, Elsevier, vol. 109(C).
    3. Du, Mengfan & Zhang, Yue-Jun, 2023. "The impact of producer services agglomeration on green economic development: Evidence from 278 Chinese cities," Energy Economics, Elsevier, vol. 124(C).
    4. Zhang, Yue-Jun & Cheng, Hao-Sen, 2021. "The impact mechanism of the ETS on CO2 emissions from the service sector: Evidence from Beijing and Shanghai," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    5. Tan, Xiujie & Wang, Banban & Wei, Jie & Taghizadeh-Hesary, Farhad, 2023. "The role of carbon pricing in achieving energy transition in the Post-COP26 era: Evidence from China's industrial energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    6. Hu, Yucai & Li, Ranran & Du, Lei & Ren, Shenggang & Chevallier, Julien, 2022. "Could SO2 and CO2 emissions trading schemes achieve co-benefits of emissions reduction?," Energy Policy, Elsevier, vol. 170(C).
    7. Ren, Shenggang & Yang, Xuanyu & Hu, Yucai & Chevallier, Julien, 2022. "Emission trading, induced innovation and firm performance," Energy Economics, Elsevier, vol. 112(C).
    8. Tan, Xiujie & Sun, Qian & Wang, Meiji & Se Cheong, Tsun & Yan Shum, Wai & Huang, Jinpeng, 2022. "Assessing the effects of emissions trading systems on energy consumption and energy mix," Applied Energy, Elsevier, vol. 310(C).
    9. Zhang, Shengling & Wang, Yao & Hao, Yu & Liu, Zhiwei, 2021. "Shooting two hawks with one arrow: Could China's emission trading scheme promote green development efficiency and regional carbon equality?," Energy Economics, Elsevier, vol. 101(C).
    10. Wanlin Yu & Jinlong Luo, 2022. "Impact on Carbon Intensity of Carbon Emission Trading—Evidence from a Pilot Program in 281 Cities in China," IJERPH, MDPI, vol. 19(19), pages 1-19, September.
    11. Maogang Tang & Silu Cheng & Wenqing Guo & Weibiao Ma & Fengxia Hu, 2023. "Relationship between carbon emission trading schemes and companies’ total factor productivity: evidence from listed companies in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11735-11767, October.
    12. Chunhua Lu & Hong Li, 2023. "Have China’s Regional Carbon Emissions Trading Schemes Promoted Industrial Resource Allocation Efficiency? The Evidence from Heavily Polluted Industries at the Provincial Level," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
    13. Heng Zhang & Ziwei Zhang & Keyuan Sun & Yutong Zou, 2023. "Emission Reduction Effect, Influencing Factors and Economic Impact of China’s Carbon Market: An Empirical Test Based on a Multi-Period DID Model," SAGE Open, , vol. 13(4), pages 21582440231, November.
    14. Gu, Guangtong & Zheng, Haorong & Tong, Lingyun & Dai, Yaxian, 2022. "Does carbon financial market as an environmental regulation policy tool promote regional energy conservation and emission reduction? Empirical evidence from China," Energy Policy, Elsevier, vol. 163(C).
    15. Yan Xiao & Yan Zhang & Jiekuan Zhang, 2023. "The Impact of Carbon Emission Trading on Industrial Green Total Factor Productivity," Sustainability, MDPI, vol. 15(7), pages 1-18, April.
    16. Weng, Zhixiong & Liu, Tingting & Wu, Yufeng & Cheng, Cuiyun, 2022. "Air quality improvement effect and future contributions of carbon trading pilot programs in China," Energy Policy, Elsevier, vol. 170(C).
    17. Hong, Qianqian & Cui, Linhao & Hong, Penghui, 2022. "The impact of carbon emissions trading on energy efficiency: Evidence from quasi-experiment in China's carbon emissions trading pilot," Energy Economics, Elsevier, vol. 110(C).
    18. He, Ling-Yun & Chen, Kun-Xian, 2023. "Does China's regional emission trading scheme lead to carbon leakage? Evidence from conglomerates," Energy Policy, Elsevier, vol. 175(C).
    19. Chen, Xiaoqi & Li, Weiping & Chen, Zifang & Huang, Jiashun, 2022. "Environmental regulation and real earnings management—Evidence from the SO2 emissions trading system in China," Finance Research Letters, Elsevier, vol. 46(PB).
    20. Kasper Vrolijk & Misato Sato, 2023. "Quasi-Experimental Evidence on Carbon Pricing," The World Bank Research Observer, World Bank, vol. 38(2), pages 213-248.

    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:jsusta:v:15:y:2023:i:14:p:10807-:d:1190661. 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.