IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v70y2024ipbs0275531924001934.html
   My bibliography  Save this article

An evolutionary analysis of the diffusion of low-carbon technology innovation in supply networks

Author

Listed:
  • Wang, Junling
  • Cheng, Siyu
  • Guo, Xinyu
  • Xu, Xin
  • Wang, Zehao

Abstract

In an era increasingly defined by the urgent need to address energy sustainability and environmental degradation, the advancement of low-carbon technologies stands at the forefront of global governmental agendas. Despite China's pioneering efforts in the adoption and development of low-carbon initiatives, its status as the preeminent global carbon emitter highlights the significant challenges impeding the widespread adoption of these innovations. This study delves into these complexities by employing a sophisticated complex network evolutionary game model that intricately weaves together consumer preferences and carbon pricing as pivotal determinants of utility. By examining the influence of corporate strategic decisions on the diffusion of low-carbon technologies, our research provides an insightful micro-level analysis that diverges from the macro-level orientation typically dominating the field. This nuanced approach not only sheds light on the mechanics of low-carbon technology dissemination but also contributes to a more comprehensive understanding of how to effectively navigate and surmount the barriers to low-carbon technological progress. Through this exploration, our study seeks to augment the discourse on the propagation of low-carbon technologies, offering vital insights for policymakers, industry stakeholders, and the broader academic community on fostering a more sustainable and low-carbon future.

Suggested Citation

  • Wang, Junling & Cheng, Siyu & Guo, Xinyu & Xu, Xin & Wang, Zehao, 2024. "An evolutionary analysis of the diffusion of low-carbon technology innovation in supply networks," Research in International Business and Finance, Elsevier, vol. 70(PB).
  • Handle: RePEc:eee:riibaf:v:70:y:2024:i:pb:s0275531924001934
    DOI: 10.1016/j.ribaf.2024.102400
    as

    Download full text from publisher

    File URL: https://www.sciencedirect.com/science/article/pii/S0275531924001934
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2024.102400?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.

    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:riibaf:v:70:y:2024:i:pb:s0275531924001934. 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: https://www.elsevier.com/locate/ribaf .

    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.