IDEAS home Printed from https://ideas.repec.org/a/taf/jenpmg/v67y2024i1p25-58.html
   My bibliography  Save this article

Would the inequality of environmental quality affect labor productivity and the income gap? Evidence from China

Author

Listed:
  • Yunwei Li
  • Ruohan Zhong
  • Zhen Wang
  • Manxi Yu
  • Yujiao Wu
  • Muhammad Irfan
  • Yu Hao

Abstract

Healthy ecosystems and safe workplaces are not equally distributed across regions and people. Increasingly close economic exchanges domestically and abroad have aggravated regional environmental unequal status in China. To evaluate China’s inequality of environmental quality, four-panel environmental Gini coefficients are calculated for 25 Chinese provinces based on the data for 281 prefecture-level cities from 2008 to 2018. China’s inequality level of environmental quality is measured by resource inequality and pollution inequality. The results of the spatial Durbin model and GMM estimations indicate that resource inequality may widen the local income gap but narrow the income gap with distant regions, while the uneven environmental quality significantly inhibits the improvement of labor productivity. The dynamic threshold model results show that pollution inequality in areas with relatively low education levels will widen the local income gap, while resource inequality in areas with low health levels has a strong inhibiting effect on labor productivity.

Suggested Citation

  • Yunwei Li & Ruohan Zhong & Zhen Wang & Manxi Yu & Yujiao Wu & Muhammad Irfan & Yu Hao, 2024. "Would the inequality of environmental quality affect labor productivity and the income gap? Evidence from China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 67(1), pages 25-58, January.
  • Handle: RePEc:taf:jenpmg:v:67:y:2024:i:1:p:25-58
    DOI: 10.1080/09640568.2022.2097061
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09640568.2022.2097061
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09640568.2022.2097061?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:taf:jenpmg:v:67:y:2024:i:1:p:25-58. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJEP20 .

    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.