IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-124-1_56.html

Research on the Application of Blockchain Technology Based on the Credit Mechanism for the Issuance of Green Bonds

In: Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

Author

Listed:
  • Xin Chen

    (University of Edinburgh, Department of Mathematics)

Abstract

Green finance has gradually become a mainstream global investment trend in recent years. Green bonds provide flexible and cost-effective financing solutions. Issues of green bonds face many obstacles, including a lack of credit, incomplete information disclosure among different sectors, information asymmetry, and “greenwashing”, so exploring the credit problem of green bonds is important. This paper will use the theory of information asymmetry and integrate blockchain with monitoring of “greenwashing”. By implementing blockchain technology, green bonds can be issued without being greenwashed, namely how a technical framework for implementing green bonds can be built using blockchain technology.

Suggested Citation

  • Xin Chen, 2023. "Research on the Application of Blockchain Technology Based on the Credit Mechanism for the Issuance of Green Bonds," Advances in Economics, Business and Management Research, in: Seifedine Kadry & Yingchen Yan & Junjie Xia (ed.), Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022), pages 475-479, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-124-1_56
    DOI: 10.2991/978-94-6463-124-1_56
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-124-1_56. 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.