IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v126y2023ics014098832300498x.html
   My bibliography  Save this article

The effect of clean energy investment on CO2 emissions: Insights from a Spatial Durbin Model

Author

Listed:
  • Weng, Chunfei
  • Huang, Jingong
  • Greenwood-Nimmo, Matthew

Abstract

We estimate the direct and indirect effects of clean energy investment on carbon emissions using a Spatial Durbin Model fitted to a panel of 72 countries from 2000 to 2018. We find that a 1 percent increase in domestic clean energy investment reduces domestic carbon emissions by approximately 0.05 percent on average, controlling for country characteristics. However, this benefit is offset by a carbon leakage effect, whereby a 1 percent increase in clean energy investment among neighboring countries leads to about a 0.28 percent increase in domestic carbon emissions. This is suggestive of the outsourcing of pollution from one country to another and indicates that ad hoc policies to promote clean energy investment may be ineffective in achieving global emissions abatement. We conclude that a coordinated international policy framework is required to prevent jurisdiction-shopping by polluters.

Suggested Citation

  • Weng, Chunfei & Huang, Jingong & Greenwood-Nimmo, Matthew, 2023. "The effect of clean energy investment on CO2 emissions: Insights from a Spatial Durbin Model," Energy Economics, Elsevier, vol. 126(C).
  • Handle: RePEc:eee:eneeco:v:126:y:2023:i:c:s014098832300498x
    DOI: 10.1016/j.eneco.2023.107000
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014098832300498X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2023.107000?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

    Clean energy investment; CO2 emissions; Carbon leakage effect; Spatial Durbin model;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    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:s014098832300498x. 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.