IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v155y2026ics0140988326000368.html

The adoption of blockchain technology by green duopolistic firms: From Cournot to Bertrand competition

Author

Listed:
  • Lei, Xiaoyang
  • Yang, Donghui

Abstract

Although firms have increasingly applied blockchain technology to facilitate consumers realizing the green investments of their products, the related literature is still rare. We investigate the blockchain adoption strategies of duopolistic firms that both exert green investments before engaging in Cournot competition or Bertrand competition. The findings are summarized as follows. First, when neither firm adopts blockchain technology under both competition models, the firms increase green investments with consumer green perception, which, however, does not inevitably lead to an increase in their profits. Second, the blockchain adoption strategies for both Cournot firms and Bertrand firms are closely correlated with the intensity of market competition and the unit cost of blockchain operation. For weak market competition, both firms (neither firm) will adopt blockchain technology when this unit cost remains rather low (high). Interestingly, one firm applies blockchain technology while the other abandons when the unit cost of blockchain operation is moderate even though these firms are symmetric. However, this asymmetric blockchain adoption strategy disappears for the fierce market competition. Finally, we reveal that Cournot firms are more (less) likely to adopt blockchain technology for the weak (fierce) market competition. These findings provide fresh managerial implications on blockchain adoption strategies for competitive firms under different competition models.

Suggested Citation

  • Lei, Xiaoyang & Yang, Donghui, 2026. "The adoption of blockchain technology by green duopolistic firms: From Cournot to Bertrand competition," Energy Economics, Elsevier, vol. 155(C).
  • Handle: RePEc:eee:eneeco:v:155:y:2026:i:c:s0140988326000368
    DOI: 10.1016/j.eneco.2026.109157
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988326000368
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2026.109157?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:eneeco:v:155:y:2026:i:c:s0140988326000368. 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.elsevier.com/locate/eneco .

    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.