IDEAS home Printed from https://ideas.repec.org/a/eee/streco/v80y2026icp1-25.html

Environmental Kuznets Curve and green regulation

Author

Listed:
  • Bettarelli, Luca
  • Furceri, Davide
  • Loungani, Prakash
  • Ostry, Jonathan D.
  • Pisano, Loredana

Abstract

In this paper, we first test the validity of the Environmental Kuznets Curve (EKC) hypothesis using a large sample of approximately 190 advanced and developing countries over the period 1989–2022. We find that CO2 emissions respond positively to increases in income per capita up to a turning point of approximately US$25,000. In a departure from the previous literature, we allow the relationship between economic development and emissions to depend on the stringency of environmental regulation. To guide the empirical analysis, we also develop a simplified theoretical framework linking economic development, emissions, and climate policy, highlighting the channels through which regulation affects both the level and curvature of the income–emissions relationship. Our results indicate that environmental policies—and particularly market-based instruments such as carbon taxes—make the EKC lower and flatter. These findings are robust to several sensitivity checks, including an instrumental variable strategy and the use of regional (rather than global) data. Overall, the results have important policy implications, showing that environmental policies are an essential ingredient for achieving long-run decoupling between emissions and economic output.

Suggested Citation

  • Bettarelli, Luca & Furceri, Davide & Loungani, Prakash & Ostry, Jonathan D. & Pisano, Loredana, 2026. "Environmental Kuznets Curve and green regulation," Structural Change and Economic Dynamics, Elsevier, vol. 80(C), pages 1-25.
  • Handle: RePEc:eee:streco:v:80:y:2026:i:c:p:1-25
    DOI: 10.1016/j.strueco.2026.06.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0954349X26001104
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.strueco.2026.06.014?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:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    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:streco:v:80:y:2026:i:c:p:1-25. 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/inca/525148 .

    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.