IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v142y2025ics014098832400865x.html
   My bibliography  Save this article

Energy consumption transition and green total factor productivity in Chinese prefecture-level cities

Author

Listed:
  • Zeng, Shihong
  • Gu, Yuxiao
  • Su, Bin
  • Li, Tengfei

Abstract

Actively promoting the energy consumption transition (ECT) and realizing green growth is a critical way for China to achieve its sustainable development goals, and it is also a core task for the current economic development of Chinese cities. Therefore, we explore the spatial effect of ECT on green total factor productivity (GTFP) through the spatial Durbin model (SDM) via balanced panel data from 279 prefecture-level cities in China from 2007 to 2019 and reveal the heterogeneous characteristics of this relationship. In addition, we investigate their nonlinear relationship characteristics. The results of the study are as follows. (1) ECT significantly enhances GTFP with an obvious spatial spillover effect. (2) ECT in the eastern region (EAR) positively affects GTFP in both local and neighboring cities, but the spatial spillover effect in the central region (CTR) is not significant, and the western region (WER) has a suppressed spatial spillover effect. (3) ECT in resource-based cities (RCs) positively affects GTFP in both local and neighboring cities. However, its spatial spillover effect is not significant in non-resource-based cities (non-RCs). (4) The results for the double-threshold effect show a nonlinear relationship. Only after crossing the second threshold does ECT contribute significantly to GTFP. Formal environmental regulation (FER) and informal environmental regulation (IER) are nonlinear characteristics of the ECT and GTFP. Moreover, we find that IER has a greater effect on the relationship than FER does. This research provides an effective reference for China to move toward green growth.

Suggested Citation

  • Zeng, Shihong & Gu, Yuxiao & Su, Bin & Li, Tengfei, 2025. "Energy consumption transition and green total factor productivity in Chinese prefecture-level cities," Energy Economics, Elsevier, vol. 142(C).
    • Handle: RePEc:eee:eneeco:v:142:y:2025:i:c:s014098832400865x
    DOI: 10.1016/j.eneco.2024.108156
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014098832400865X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2024.108156?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.

    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:eneeco:v:142:y:2025:i:c:s014098832400865x. 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/eneco .

    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.