IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v369y2024ics0306261924009206.html
   My bibliography  Save this article

Low-carbon technology adoption and diffusion with heterogeneity in the emissions trading scheme

Author

Listed:
  • Zhu, Rongqi
  • Wei, Yigang
  • Tan, Longyan

Abstract

Technological change represents a fundamental means to achieve carbon neutrality. However, considering the dual externalities of low-carbon technologies (LCTs), timely and appropriate government intervention is imperative. This study explores the mechanisms and trajectories of low-carbon technology adoption and diffusion in the emission trading scheme (ETS). The proposed agent-based model, using the most recent data from 1057 thermal power firms, created a virtual ETS operation, especially considered the complexities, including various abatement options, heterogeneity among firms and technologies and different trading strategies. The results show that the firms prefer to adopt LCTs with low abatement cost, rather than those with high abatement potential. Meanwhile, the strength of ETS mechanisms is positively correlated with the diffusion of LCTs. This study overcomes the limitations of previous macroscopic studies that fail to explain the diffusion of specific technologies and examines for the first time the dynamic diffusion trends of LCTs with different mechanism designs.

Suggested Citation

  • Zhu, Rongqi & Wei, Yigang & Tan, Longyan, 2024. "Low-carbon technology adoption and diffusion with heterogeneity in the emissions trading scheme," Applied Energy, Elsevier, vol. 369(C).
    • Handle: RePEc:eee:appene:v:369:y:2024:i:c:s0306261924009206
    DOI: 10.1016/j.apenergy.2024.123537
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924009206
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.123537?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 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. Wenbin Cao & Yiming Sun, 2024. "Evolutionary Game Analysis of Collaborative Prefabricated Buildings Development Behavior in China under Carbon Emissions Trading Schemes," Sustainability, MDPI, vol. 16(18), pages 1-24, September.
    2. Yigang Wei & Yan Li & Julien Chevallier & Michal Wojewodzki, 2024. "The Efficiency of China’s Carbon Trading Schemes: A Tale of Seven Pilot Markets," Commodities, MDPI, vol. 3(3), pages 1-21, August.

    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:appene:v:369:y:2024:i:c:s0306261924009206. 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/wps/find/journaldescription.cws_home/405891/description#description .

    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.