IDEAS home Printed from https://ideas.repec.org/a/aen/journl/ej41-6-zhou.html
   My bibliography  Save this article

Impact of Permit Allocation on Cap-and-trade System Performance under Market Power

Author

Listed:
  • Mei Wang and Peng Zhou

Abstract

The presence of market power usually has negative impacts on the cost-effectiveness of the carbon market. As market power-induced efficiency loss depends on permit allocation, the choice of permit allocation methods is likely to affect the cost-effectiveness of the carbon market. This paper examines theoretically how the choice of emission permit allocation method affects the cost-effectiveness of an emissions trading system when market power exists. We find that, under grandfathering and benchmarking, the carbon market would be more efficient if the permits initially allocated to the dominant firm were closer to its CO2 emissions. Under auctioning, the dominant firm tends to lower the CO2 price, which may result in efficiency loss. By combining the modelling results of efficiency loss due to market power and the fairness in terms of CO2 cost pass-through, we finally provide some policy recommendations on how to choose a CO2 emission permit allocation method for different industries.

Suggested Citation

  • Mei Wang and Peng Zhou, 2020. "Impact of Permit Allocation on Cap-and-trade System Performance under Market Power," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6), pages 215-232.
    • Handle: RePEc:aen:journl:ej41-6-zhou
    as

    Download full text from publisher

    File URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=3584
    Download Restriction: Access to full text is restricted to IAEE members and subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Wang, Xu & Zhu, Lei & Liu, Pengfei, 2021. "Manipulation via endowments: Quantifying the influence of market power on the emission trading scheme," Energy Economics, Elsevier, vol. 103(C).
    2. Wang, Wei & Zhang, Yue-Jun, 2022. "Does China's carbon emissions trading scheme affect the market power of high-carbon enterprises?," Energy Economics, Elsevier, vol. 108(C).
    3. Geng, Wenxin & Fan, Ying, 2022. "An imperfectly competitive permit market under a rate-based scheme," Energy Economics, Elsevier, vol. 105(C).

    More about this item

    JEL classification:

    • F0 - International Economics - - General

    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:aen:journl:ej41-6-zhou. 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: David Williams (email available below). General contact details of provider: https://edirc.repec.org/data/iaeeeea.html .

    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.