IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v160y2026ics0140988324001129.html

Commonality in systemic risk from green and conventional energy

Author

Listed:
  • Akhtaruzzaman, Md
  • Rahman, Molla Ramizur

Abstract

Our study is a novel attempt to examine the sub-industry sectors of conventional energy (i.e., oil & gas, crude production, oil refinery & marketing, and oil equipment and services) and the sub-industry sector of green energy (i.e., renewable energy) to analyse the systemic risk and commonality. The results show that the systemic risk for green energy has decreased since 2006, indicating a shift towards net-zero emissions. Further, we develop a systemic contagion index (SCI) for green and conventional energy. The SCI shows that green energy has lower contagion than conventional energy. However, conventional energy appears to create lower contagion during crises, indicating its herding characteristics and investors' preference for conventional energy during crises. A mild systemic risk commonality between green and conventional energy provides an opportunity to shift towards green energy, thus enhancing the possibility of achieving net-zero emissions. These findings provide guidance to policymakers to build the global green and conventional energy policy to achieve net-zero emissions in 2050.

Suggested Citation

  • Akhtaruzzaman, Md & Rahman, Molla Ramizur, 2026. "Commonality in systemic risk from green and conventional energy," Energy Economics, Elsevier, vol. 160(C).
  • Handle: RePEc:eee:eneeco:v:160:y:2026:i:c:s0140988324001129
    DOI: 10.1016/j.eneco.2024.107404
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988324001129
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2024.107404?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

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    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:160:y:2026:i:c:s0140988324001129. 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.