IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v16y2025i3d10.1007_s13132-024-02370-5.html
   My bibliography  Save this article

Government Effectiveness, Solar Energy, and CO2 Emissions in OECD Countries: A Panel Quantile Regression Approach

Author

Listed:
  • Taner Güney

    (Karamanoglu Mehmetbey University)

  • Ersin Nail Sağdıç

    (Kutahya Dumlupinar University)

Abstract

A capable government with stability can ensure the strict implementation of envisioned environmental policies. Solar power has a great potential. Therefore, this study examines the relationships between solar energy, government effectiveness, and carbon dioxide (CO2) emissions. For this purpose, we used the data of 37 The Organization for Economic Co-operation and Development (OECD) countries from 1996-to 2020. We considered slope homogeneity and cross-section dependence and in panel data analyses. According to the estimates, there is a cointegration relationship between CO2 emissions, government efficiency, solar energy, fossil energy, and GDP. This study mainly featured panel quantile regression (PQR) estimations. According to PQR estimates, government effectiveness harms CO2 emissions. The negative effect of government effectiveness on CO2 emissions continues in all quantiles. In other words, government effectiveness in reducing CO2 emissions in countries with low or high CO2 emissions levels is rather stable and significant. PQR estimates showed that solar energy harmed CO2 emissions in all quantiles. Moreover, this negative effect increases almost uninterruptedly, from the 10th to the 90th quantile. In other words, as the CO2 emissions level rises, the CO2 emissions reduction level of solar energy also increases. These estimation results show how valuable and indispensable government effectiveness is to the success of the Paris Agreement and the 2030 Sustainable Development Goals. As a result, this study recommends that governments provide bureaucratic facilities that will facilitate private-sector solar energy investments.

Suggested Citation

  • Taner Güney & Ersin Nail Sağdıç, 2025. "Government Effectiveness, Solar Energy, and CO2 Emissions in OECD Countries: A Panel Quantile Regression Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(3), pages 11836-11855, September.
  • Handle: RePEc:spr:jknowl:v:16:y:2025:i:3:d:10.1007_s13132-024-02370-5
    DOI: 10.1007/s13132-024-02370-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-024-02370-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13132-024-02370-5?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:spr:jknowl:v:16:y:2025:i:3:d:10.1007_s13132-024-02370-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.