IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v285y2023ics0360544223021175.html
   My bibliography  Save this article

How to promote the Chinese Certified Emission Reduction scheme in the carbon market? A study based on tripartite evolutionary game model

Author

Listed:
  • He, Yong
  • Jiang, Ruipeng
  • Liao, Nuo

Abstract

The Chinese Certified Emission Reduction (CCER) scheme is of great significance for China to achieve its “dual carbon” targets. However, limited effort has been made to explore the CCER scheme due to poor data availability and the short implementation time. Therefore, this study constructs a tripartite evolutionary game model involving the government, carbon emission control enterprise, and renewable energy enterprise, to analyze the evolutionary stability of each subject's strategy choice. The results indicate that: (1) Strict regulation of the government could promote carbon emission control enterprise to actively purchase CCER quotas, and motivate renewable energy enterprise to declare CCER projects. (2) When the corresponding condition is met, the system could reach the ideal evolutionary steady state of (1,1,1), and keep a stable operational status for the CCER scheme market. (3) The condition of the CCER price below the carbon price, appropriate penalties for non-compliance of carbon emissions, the dynamic balance between carbon offset rate and project declaration cost, and proper subsidies for CCER project declaration, all could promote the development of CCER projects in the carbon market. This study could enrich the knowledge hierarchy of CCER and provide important decision references for developing the CCER scheme in the carbon market.

Suggested Citation

  • He, Yong & Jiang, Ruipeng & Liao, Nuo, 2023. "How to promote the Chinese Certified Emission Reduction scheme in the carbon market? A study based on tripartite evolutionary game model," Energy, Elsevier, vol. 285(C).
  • Handle: RePEc:eee:energy:v:285:y:2023:i:c:s0360544223021175
    DOI: 10.1016/j.energy.2023.128723
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223021175
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.128723?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Wei & Li, Jing & Li, Guoxiang & Guo, Shucen, 2020. "Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China," Energy, Elsevier, vol. 196(C).
    2. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    3. Cong, Ren & Lo, Alex Y. & Yu, Wei, 2021. "The distribution and regional determinants of nationally financed emissions-reduction projects in China," Energy Policy, Elsevier, vol. 152(C).
    4. Teixidó, Jordi & Verde, Stefano F. & Nicolli, Francesco, 2019. "The impact of the EU Emissions Trading System on low-carbon technological change: The empirical evidence," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    5. Lumpkin, G. T. & Dess, Gregory G., 2001. "Linking two dimensions of entrepreneurial orientation to firm performance: The moderating role of environment and industry life cycle," Journal of Business Venturing, Elsevier, vol. 16(5), pages 429-451, September.
    6. Rajshree Agarwal & Michael Gort, 2002. "Firm and Product Life Cycles and Firm Survival," American Economic Review, American Economic Association, vol. 92(2), pages 184-190, May.
    7. Yan, Yaxue & Zhang, Xiaoling & Zhang, Jihong & Li, Kai, 2020. "Emissions trading system (ETS) implementation and its collaborative governance effects on air pollution: The China story," Energy Policy, Elsevier, vol. 138(C).
    8. 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).
    9. Wang, Xiao-Qing & Su, Chi-Wei & Lobonţ, Oana-Ramona & Li, Hao & Nicoleta-Claudia, Moldovan, 2022. "Is China's carbon trading market efficient? Evidence from emissions trading scheme pilots," Energy, Elsevier, vol. 245(C).
    10. Zhang, Yue-Jun & Wang, Ao-Dong & Tan, Weiping, 2015. "The impact of China's carbon allowance allocation rules on the product prices and emission reduction behaviors of ETS-covered enterprises," Energy Policy, Elsevier, vol. 86(C), pages 176-185.
    11. Gort, Michael & Klepper, Steven, 1982. "Time Paths in the Diffusion of Product Innovations," Economic Journal, Royal Economic Society, vol. 92(367), pages 630-653, September.
    12. Böhringer, Christoph & Keller, Andreas & Bortolamedi, Markus & Rahmeier Seyffarth, Anelise, 2016. "Good things do not always come in threes: On the excess cost of overlapping regulation in EU climate policy," Energy Policy, Elsevier, vol. 94(C), pages 502-508.
    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. Wu, Huihuang & Zhou, Yuhan & Wang, Xian & Hu, Xiurong & Zhang, Shihui & Ren, Yang & Liu, Junfeng & Liu, Ying & Tao, Shu, 2024. "The climate, health, and economic outcomes across different carbon pricing policies to achieve China's climate goals," Applied Energy, Elsevier, vol. 368(C).
    2. Zhang, Mingye & Yang, Min & Gao, Yangfan, 2024. "Tripartite evolutionary game and simulation analysis of electric bus charging facility sharing under the governmental reward and punishment mechanism," Energy, Elsevier, vol. 307(C).
    3. Jianlan Su & Qin Long & Shiwen Lin & Zhongyu Hu & Yuxin Zeng, 2024. "Carbon neutralization in Yunnan: harnessing the power of forests to mitigate carbon emissions and promote sustainable development in the Southwest forest area of China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 29(8), pages 1-36, December.

    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. 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).
    2. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
    3. 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.
    4. Hao, Xinyu & Sun, Wen & Zhang, Xiaoling, 2023. "How does a scarcer allowance remake the carbon market? An evolutionary game analysis from the perspective of stakeholders," Energy, Elsevier, vol. 280(C).
    5. Amin, Abu & Bowler, Blake & Hasan, Mostafa Monzur & Lobo, Gerald J. & Tresl, Jiri, 2023. "Firm life cycle and cost of debt," Journal of Banking & Finance, Elsevier, vol. 154(C).
    6. Abu Amin & Blake Bowler & Mostafa Monzur Hasan & Gerald L. Lobo & Jiri Tresl, 2020. "Firm Life Cycle and Cost of Debt," CERGE-EI Working Papers wp665, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    7. Zhixiong Weng & Cuiyun Cheng & Yang Xie & Hao Ma, 2022. "Reduction Effect of Carbon Emission Trading Policy in Decreasing PM 2.5 Concentrations in China," IJERPH, MDPI, vol. 19(23), pages 1-12, December.
    8. Ying Zhang & Yingli Huang, 2023. "Killing Two Birds with One Stone or Missing One of Them? The Synergistic Governance Effect of China’s Carbon Emissions Trading Scheme on Pollution Control and Carbon Emission Reduction," Sustainability, MDPI, vol. 15(13), pages 1-25, June.
    9. Liu, Jicheng & Sun, Jiakang & Yuan, Hanying & Su, Yihan & Feng, Shuxian & Lu, Chaoran, 2022. "Behavior analysis of photovoltaic-storage-use value chain game evolution in blockchain environment," Energy, Elsevier, vol. 260(C).
    10. Zhang, Jiekuan, 2023. "Emissions trading scheme and energy consumption and output structure: Evidence from China," Renewable Energy, Elsevier, vol. 219(P1).
    11. Silviano Esteve-Pérez & Fabio Pieri & Diego Rodriguez, 2018. "Age and productivity as determinants of firm survival over the industry life cycle," Industry and Innovation, Taylor & Francis Journals, vol. 25(2), pages 167-198, February.
    12. Yu, Jian & Liu, Peng & Shi, Xunpeng & Ai, Xianneng, 2023. "China’s emissions trading scheme, firms’ R&D investment and emissions reduction," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1021-1037.
    13. Susheng Wang & Gang Chen & Xue Han, 2021. "An Analysis of the Impact of the Emissions Trading System on the Green Total Factor Productivity Based on the Spatial Difference-in-Differences Approach: The Case of China," IJERPH, MDPI, vol. 18(17), pages 1-18, August.
    14. Zhang, Hongyu & Zhang, Da & Zhang, Xiliang, 2023. "The role of output-based emission trading system in the decarbonization of China's power sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    15. Uwe Cantner & Kristina Dreßler & Jens J. Krüger, 2006. "Firm survival in the German automobile industry," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 33(1), pages 49-60, March.
    16. 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).
    17. Kim, Jungho & Lee, Chang-Yang, 2016. "Technological regimes and firm survival," Research Policy, Elsevier, vol. 45(1), pages 232-243.
    18. Götz, Georg & Ederington, Josh, 2017. "Leapfrogging: Time of Entry and Firm Productivity," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168126, Verein für Socialpolitik / German Economic Association.
    19. Richard A. Bettis & Constance E. Helfat & J. Myles Shaver & Douglas J. Miller & Hsiao-Shan Yang, 2016. "The dynamics of diversification: Market entry and exit by public and private firms," Strategic Management Journal, Wiley Blackwell, vol. 37(11), pages 2323-2345, November.
    20. Li Chen & Di Wang & Ruyi Shi, 2022. "Can China’s Carbon Emissions Trading System Achieve the Synergistic Effect of Carbon Reduction and Pollution Control?," IJERPH, MDPI, vol. 19(15), pages 1-21, July.

    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:eee:energy:v:285:y:2023:i:c:s0360544223021175. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.