IDEAS home Printed from https://ideas.repec.org/a/axf/eiaaaa/v2y2025i10p167-173.html

Urban Transportation Carbon Efficiency and ESG Performance: An AQI-Based Empirical Analysis in China

Author

Listed:
  • Zhou, Xinhui
  • Tang, Na

Abstract

This study, based on the environmental protection (E) dimension of the ESG framework, quantifies urban environmental performance using the proportion of days with good air quality (AQI). It further investigates the impact of carbon efficiency in urban transportation on this performance. An OLS regression model was employed on panel data from ten major cities spanning 2019 to 2023 for empirical analysis. The results reveal a significant negative relationship between per capita transportation carbon emissions and urban environmental performance, suggesting that reducing transportation carbon intensity is an effective strategy to improve air quality and enhance ESG outcomes. These findings offer empirical support and practical guidance for city planners to integrate ESG objectives into transportation policies and to design coordinated emission reduction measures.

Suggested Citation

  • Zhou, Xinhui & Tang, Na, 2025. "Urban Transportation Carbon Efficiency and ESG Performance: An AQI-Based Empirical Analysis in China," Education Insights, Scientific Open Access Publishing, vol. 2(10), pages 167-173.
    • Handle: RePEc:axf:eiaaaa:v:2:y:2025:i:10:p:167-173
    as

    Download full text from publisher

    File URL: https://soapubs.com/index.php/EI/article/view/796/777
    Download Restriction: no
    ---><---

    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:axf:eiaaaa:v:2:y:2025:i:10:p:167-173. 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: Yuchi Liu (email available below). General contact details of provider: https://soapubs.com/index.php/EI .

    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.