IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v85y2025icp1721-1738.html
   My bibliography  Save this article

Disentangling the effects of green finance in reducing CO2 emission from energy systems: Evidence from a novel factor decomposition mechanism

Author

Listed:
  • Wang, Yaxian
  • Wang, Xiaoyu
  • Baležentis, Tomas
  • Chi, Yuanying
  • Streimikiene, Dalia

Abstract

Green finance is a potentially important factor for upgrading energy structures and thereby controlling CO2 emissions. However, previous research ignored it in the decomposition mechanism of CO2 emissions from energy systems. Accordingly, a novel decomposition model integrating green finance and energy is developed under the Generalized Divisia Index (GDI) framework. Furthermore, the integration of GDI, coupled scenarios, and Monte Carlo techniques facilitates the introduction of a novel approach for dynamically simulating prospective CO2 emission trajectories. The decomposition results imply that carbon factor and energy consumption stand out as the positive driving forces of CO2 emission, with relative contributions of 0.95 % and 8.29 %. The green finance scale exhibits insignificant impetus in mitigating CO2 emission, with a contribution of only -0.04 % in the last decade. However, the energy efficiency of green finance demonstrates substantial potential in all regions, contributing by -1.38 %. The forecasting results indicate that green finance will propel China's eastern region to achieve a steady decline in CO2 emissions by 2026 in the sustainability-driven scenario, whereas the central and western areas fail to achieve carbon peaking. Both top-level design and region-specific policies are required to curb energy-related CO2 emissions.

Suggested Citation

  • Wang, Yaxian & Wang, Xiaoyu & Baležentis, Tomas & Chi, Yuanying & Streimikiene, Dalia, 2025. "Disentangling the effects of green finance in reducing CO2 emission from energy systems: Evidence from a novel factor decomposition mechanism," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1721-1738.
  • Handle: RePEc:eee:ecanpo:v:85:y:2025:i:c:p:1721-1738
    DOI: 10.1016/j.eap.2025.02.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592625000487
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eap.2025.02.022?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:ecanpo:v:85:y:2025:i:c:p:1721-1738. 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.journals.elsevier.com/economic-analysis-and-policy .

    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.