IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v96y2024ipas1057521924005258.html
   My bibliography  Save this article

Climate policy uncertainty and urban green total factor productivity: Evidence from China

Author

Listed:
  • Dai, Zhifeng
  • Zhu, Haoyang

Abstract

Climate change has an impact on the environment and the economy, and green total factor productivity (GTFP here after) is a composite proxy contains both the contents of the environmental protection and the economic development. Serving the climate policy uncertainty index of China (CCPU here after) as the key explanatory variable, we employ the panel regression model to explore the influence of CCPU on GTFP of the 277 Chinese prefecture-level cities. The main findings are as follows: First, CCPU has a negative impact on GTFP; Second, the negative impact of CCPU on GTFP varies in different cities according to the population size, location, and environmental regulation level; Third, our empirical results are stable under the robustness tests; Fourth, the further analysis of this paper indicate that the negative impact of CCPU on GTFP mainly comes from the period after 2016. In addition, the negative impact of CCPU is mainly through the channel of the Technical Efficiency. Finally, the sensitivity of the Technical Efficiency to CCPU may vary according to the public environmental concerns and government science expenditures of different cities. The major findings of this paper not only have practical significance for China and its local governments, but also provide useful references for other countries, especially the developing countries.

Suggested Citation

  • Dai, Zhifeng & Zhu, Haoyang, 2024. "Climate policy uncertainty and urban green total factor productivity: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 96(PA).
  • Handle: RePEc:eee:finana:v:96:y:2024:i:pa:s1057521924005258
    DOI: 10.1016/j.irfa.2024.103593
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521924005258
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2024.103593?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:finana:v:96:y:2024:i:pa:s1057521924005258. 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/620166 .

    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.