IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v98y2026ics1544612326003740.html

Can natural gas as a bridge fuel catalyze the low-carbon transition? Evidence from an NK-E-DSGE model

Author

Listed:
  • Xiao, Jianzhong
  • Ruan, Shengzhe
  • Hu, Xing
  • Xie, Sisi
  • Zhang, Xinzhu

Abstract

Aggressive low-carbon transition policies can accelerate decarbonization but may also amplify stranded asset risks in fossil fuel sectors, threatening macro-financial stability. This paper examines whether natural gas, as a transitional “bridge fuel”, can mitigate these risks during the energy transition. We develop a New Keynesian Environmental DSGE (NK-E-DSGE) model that distinguishes among fossil energy, bridge fuels, and clean energy, and incorporates green bond policies under financial frictions. Results show that aggressive green bonds trigger a “Climate-Minsky” collapse. Conversely, an orderly gas-bridge transition smooths asset volatility. Policy implications suggest defining natural gas as a strategic buffer and adopting counter-cyclical green macro-prudential policies to balance decarbonization with financial stability.

Suggested Citation

  • Xiao, Jianzhong & Ruan, Shengzhe & Hu, Xing & Xie, Sisi & Zhang, Xinzhu, 2026. "Can natural gas as a bridge fuel catalyze the low-carbon transition? Evidence from an NK-E-DSGE model," Finance Research Letters, Elsevier, vol. 98(C).
  • Handle: RePEc:eee:finlet:v:98:y:2026:i:c:s1544612326003740
    DOI: 10.1016/j.frl.2026.109844
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612326003740
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2026.109844?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:finlet:v:98:y:2026:i:c:s1544612326003740. 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/frl .

    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.