IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v335y2025ics0360544225036096.html
   My bibliography  Save this article

Research on carbon quota trading mechanism of the Chinese automobile industry under the carbon peak target: A game theory approach

Author

Listed:
  • Wang, Ning
  • Qin, Dandan
  • Shang, Kai

Abstract

The carbon quota management system is an important measure for China's automotive industry to address climate change, but it is still challenging to recognize a reasonable carbon trading price. This study establishes a carbon quota allocation game strategy balancing efficiency and fairness in the automotive industry based on the Zero-sum Gains Data Envelopment Analysis (ZSG-DEA) and Gini coefficient models, designs a carbon quota trading mechanism based on the bidirectional auction game model, and quantitatively analyzes the fluctuations in carbon quota trading prices. The results show that the average carbon quota trading price is 2269 CNY/ton, and the average marginal abatement cost of the automotive enterprises is 2632 CNY/ton. As the abatement rate increases, carbon trading prices are expected to fluctuate in the coming years (ranging from 2669 CNY/ton to 2768 CNY/ton) but gradually stabilize (remain around 2665 CNY/ton) with the arrival of carbon peaking. This study can provide reference for the government to formulate price control strategies and the automotive enterprises to make decision in the carbon trading process.

Suggested Citation

  • Wang, Ning & Qin, Dandan & Shang, Kai, 2025. "Research on carbon quota trading mechanism of the Chinese automobile industry under the carbon peak target: A game theory approach," Energy, Elsevier, vol. 335(C).
    • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225036096
    DOI: 10.1016/j.energy.2025.137967
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225036096
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2025.137967?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:335:y:2025:i:c:s0360544225036096. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.