IDEAS home Printed from https://ideas.repec.org/a/spr/fininn/v9y2023i1d10.1186_s40854-023-00547-6.html
   My bibliography  Save this article

Cooperative management of an emission trading system: a private governance and learned auction for a blockchain approach

Author

Listed:
  • Yi-Ran Wang

    (Hunan University
    Hunan University)

  • Chaoqun Ma

    (Hunan University
    Hunan University
    Hunan University)

  • Yi-Shuai Ren

    (Hunan University
    Hunan University
    Hunan University
    University of Auckland)

  • Seema Narayan

    (Monash University)

Abstract

Although blockchain technology has received a significant amount of cutting-edge research on constructing a novel carbon trade market in theory, there is little research on using blockchain in carbon emission trading schemes (ETS). This study intends to address existing gaps in the literature by creating and simulating an ETS system based on blockchain technology. Using the ciphertext-policy attributed-based encryption algorithm and the Fabric network to build a platform may optimize the amount of data available while maintaining privacy security. Considering the augmentation of information interaction during the auction process brought about by blockchain, the learning behavior of bidding firms is introduced to investigate the impact of blockchain on ETS auction. In particular, implementing smart contracts can provide a swift and automatic settlement. The simulation results of the proposed system demonstrate the following: (1) fine-grained access is possible with a second delay; (2) the average annual compliance levels increase by 2% when bidders’ learning behavior is considered; and (3) the blockchain network can process more than 350 reading operations or 7 writing operations in a second.

Suggested Citation

  • Yi-Ran Wang & Chaoqun Ma & Yi-Shuai Ren & Seema Narayan, 2023. "Cooperative management of an emission trading system: a private governance and learned auction for a blockchain approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
  • Handle: RePEc:spr:fininn:v:9:y:2023:i:1:d:10.1186_s40854-023-00547-6
    DOI: 10.1186/s40854-023-00547-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s40854-023-00547-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1186/s40854-023-00547-6?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
    ---><---

    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:spr:fininn:v:9:y:2023:i:1:d:10.1186_s40854-023-00547-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.