IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v12y2025i1d10.1057_s41599-025-04916-7.html
   My bibliography  Save this article

Spatiotemporal evolution and convergence patterns of urban carbon emission efficiency in China

Author

Listed:
  • Chuanqing Wu

    (Wuhan University
    Wuhan University)

  • Heshun Deng

    (Wuhan University)

  • Hao Zhao

    (Wuhan University)

  • Qiwei Xia

    (Wuhan University)

Abstract

This paper utilizes the super-efficiency SBM-DEA model that accounts for environmentally detrimental outputs to assess urban carbon emission efficiency (UCEE) across 282 cities in China. The Dagum Gini coefficient decomposition is utilized for assessing the disparity among China’s four major regions. Additionally, the non-parametric kernel density estimation (KDE) is utilized for illustrating the changing patterns of UCEE across different regions. The coefficient of variation and spatial panel model are utilized for calculating σ-convergence and β-convergence, respectively. The findings reveal a consistent decrease in UCEE across China’s major geographical divisions; this difference is primarily attributed to hypervariable density. Moreover, significant disparities exist in terms of dynamic evolution characteristics of UCEE among different regions, with more pronounced urban polarization effects observed in Western China and Northeastern China. Different regions exhibit distinct convergence characteristics. The influence of economic level, industrial structure, foreign direct investment, urbanization rate, and green technology innovation on the rate of variation in UCEE exhibits notable heterogeneity.

Suggested Citation

  • Chuanqing Wu & Heshun Deng & Hao Zhao & Qiwei Xia, 2025. "Spatiotemporal evolution and convergence patterns of urban carbon emission efficiency in China," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
  • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04916-7
    DOI: 10.1057/s41599-025-04916-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-025-04916-7
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-025-04916-7?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

    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:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04916-7. 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: https://www.nature.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.