IDEAS home Printed from https://ideas.repec.org/a/eee/streco/v71y2024icp523-537.html
   My bibliography  Save this article

How could we benefit from a low-carbon economy? Evidence from Chinese regional labor markets

Author

Listed:
  • Wei, Chuanhui
  • Zhang, Yongji
  • Lan, Minghui
  • Su, Zhi
  • Du, Heran
  • Wang, Ke

Abstract

Existing studies on the employment effects of a low-carbon economy predominantly focus on sectoral dynamics instead of regions, providing limited references for prefectural policymaking. We address this gap by employing a fixed effects model and a dataset of Chinese cities from 2006 to 2020. Our findings highlight the significant contribution of a low-carbon economy to regional employment through the industry agglomeration effect and innovation effect. Heterogeneities are evident in the employment-promoting influence of a low-carbon economy, as cities with lenient environment enforcement, ample education investment, and non-resource-dependent structures benefit more significantly. Notably, a low-carbon economy exhibits a disproportionately higher employment promotion effect in cities with mid-range employment populations. In addition, we identify co-benefits of a low-carbon economy, including higher average salaries and mitigation of aging trends. These insights foster a better understanding of the low-carbon economy and offer valuable guidance for prefectural governments seeking to develop targeted low-carbon economy strategies.

Suggested Citation

  • Wei, Chuanhui & Zhang, Yongji & Lan, Minghui & Su, Zhi & Du, Heran & Wang, Ke, 2024. "How could we benefit from a low-carbon economy? Evidence from Chinese regional labor markets," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 523-537.
  • Handle: RePEc:eee:streco:v:71:y:2024:i:c:p:523-537
    DOI: 10.1016/j.strueco.2024.09.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0954349X24001309
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.strueco.2024.09.001?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

    Keywords

    Low-carbon economy; Employment; Industry agglomeration; Innovation effect;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects

    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:streco:v:71:y:2024:i:c:p:523-537. 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/525148 .

    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.