IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v109y2026ics1059056026005290.html

The impact of market segmentation on carbon emission efficiency: Evidence from China

Author

Listed:
  • Wang, Huiping
  • Li, Yiyang

Abstract

Market segmentation is a significant obstacle to the construction of a unified large market in China at this stage, and it is also an important factor inhibiting urban carbon emission efficiency (CEE). Based on the panel data of Chinese cities from 2009 to 2019, this paper constructs a benchmark panel model and a threshold panel model after calculating CEE, to deeply explore the impact of market segmentation on CEE. The results show that market segmentation not only directly reduces CEE significantly but also affects it by inhibiting industrial structure upgrading, technological innovation, and energy efficiency. The threshold effect test indicates that when market segmentation is taken as the threshold variable, there exists a threshold value. When market segmentation is below this threshold, its effect on CEE is significantly positive; when market segmentation is above this threshold, its effect on CEE is significantly negative.

Suggested Citation

  • Wang, Huiping & Li, Yiyang, 2026. "The impact of market segmentation on carbon emission efficiency: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 109(C).
    • Handle: RePEc:eee:reveco:v:109:y:2026:i:c:s1059056026005290
    DOI: 10.1016/j.iref.2026.105416
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056026005290
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.iref.2026.105416?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

    ;
    ;
    ;
    ;

    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:reveco:v:109:y:2026:i:c:s1059056026005290. 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/620165 .

    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.