IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i5p1110-d1659896.html
   My bibliography  Save this article

Does Industrial Green Transformation Really Lead to High Land Use Efficiency? Evidence from China

Author

Listed:
  • Wenfang Pu

    (School of Economy and Management, Zhejiang University of Water Resources and Electric Power, Qiantang District, Hangzhou 310018, China
    College of Land Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Mengba Liu

    (College of City Construction, Jiangxi Normal University, Nanchang 330022, China)

  • Anlu Zhang

    (College of Land Management, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

This research aimed to investigate whether transformation of the industrial sector in a region could improve industrial land use efficiency. Taking the urban agglomeration in the middle reaches of the Yangtze River in China as the research area, we compiled socioeconomic panel data from 2000 to 2020 in order to analyze the impact of the transformation of industrial sectors in an area on industrial land use efficiency from two dimensions: industrial structural optimization and industrial spatial layout. The research results show the following: (1) The rationalization and upgrading of the industrial sector, as well as the professional agglomeration of industry and diversified industrial agglomeration, have improved the efficiency of industrial land use. (2) The impact of industrial rationalization on industrial land use efficiency presents an inverted U-shaped curve, whereby the impact of industrial upgrading on industrial land use efficiency has a relatively small spatiotemporal heterogeneity. The spatiotemporal changes in the impact of industrial specialized agglomeration on industrial land use efficiency are relatively small, while the spatiotemporal changes in the impact of industrial diversified agglomeration on industrial land use efficiency are more obvious. (3) There is obvious spatial heterogeneity in the two dimensions industrial structural optimization and industrial spatial layout in the three sub-regions when improving industrial land use efficiency.

Suggested Citation

  • Wenfang Pu & Mengba Liu & Anlu Zhang, 2025. "Does Industrial Green Transformation Really Lead to High Land Use Efficiency? Evidence from China," Land, MDPI, vol. 14(5), pages 1-24, May.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:5:p:1110-:d:1659896
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/5/1110/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/14/5/1110/
    Download Restriction: no
    ---><---

    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:gam:jlands:v:14:y:2025:i:5:p:1110-:d:1659896. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.