IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v126y2023ics0140988323004346.html
   My bibliography  Save this article

Green finance and energy transition to achieve net-zero emission target

Author

Listed:
  • Zhang, Dongyang
  • Guo, Yumei
  • Taghizadeh-Hesary, Farhad

Abstract

This study measured the effects of green financing and energy transition on COP26 targets for 40 countries, namely, 14 economies with market-based financial systems and 26 countries with bank-based financial systems, from 2010 to 2020. The findings confirmed that, in the market-based financial system, GDP per capita has a positive coefficient, while for countries with a bank-based financial system, GDP per capita has a negative coefficient on greenhouse gas emissions. With a 1% improvement in the energy transition of countries under a market-based financial structure, greenhouse gas emissions will decrease by 0.08%. The central practical policies recommended by this research are enhancing green loans, bank financing, and green bank guarantees.

Suggested Citation

  • Zhang, Dongyang & Guo, Yumei & Taghizadeh-Hesary, Farhad, 2023. "Green finance and energy transition to achieve net-zero emission target," Energy Economics, Elsevier, vol. 126(C).
    • Handle: RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323004346
    DOI: 10.1016/j.eneco.2023.106936
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988323004346
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2023.106936?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.

    More about this item

    Keywords

    COP26; Energy transition; Green financing; Fully modified OLS; GHGs emissions;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

    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:126:y:2023:i:c:s0140988323004346. 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.