IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v52y2025i4p804-822.html
   My bibliography  Save this article

Land-use efficiency and local government revenue: Evidence from 272 Chinese cities using a novel structural equation modelling approach

Author

Listed:
  • Tianyuan Wang
  • Li Wan
  • Helen XH Bao

Abstract

The unprecedented urbanisation observed in leading developing countries has placed immense pressure on effective and efficient land management. The significance of land-use efficiency in the Chinese context has been addressed in the literature, particularly on the measurements of land-use efficiency and key influencing factors. However, quantifying the interdependence between land-use efficiency, local government revenue, employment and infrastructure development whilst controlling for significant cross-city differences remains a gap in the literature. Based on data for 272 prefecture-level Chinese cities between 2012 and 2017, this study employs a novel modelling approach, combining latent class analysis (LCA) in a generalised structural equation model. The incorporation of LCA helps to control for the significant, non-linear heterogeneity across city samples. The empirical model identifies both the direct (one-off land conveyance fee and transaction-related tax revenue from land transactions) and indirect (corporate and personal taxes generated from employment and business growth) channels, through which land development contributes to local government revenue. It also provides one of the first quantified evidence, confirming that employment growth provides higher long-term return than a one-off, land conveyance fee to government revenue in China, controlling for significant cross-city heterogeneity in land-use efficiency and wage.

Suggested Citation

  • Tianyuan Wang & Li Wan & Helen XH Bao, 2025. "Land-use efficiency and local government revenue: Evidence from 272 Chinese cities using a novel structural equation modelling approach," Environment and Planning B, , vol. 52(4), pages 804-822, May.
  • Handle: RePEc:sae:envirb:v:52:y:2025:i:4:p:804-822
    DOI: 10.1177/23998083241272092
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23998083241272092
    Download Restriction: no

    File URL: https://libkey.io/10.1177/23998083241272092?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
    ---><---

    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:sae:envirb:v:52:y:2025:i:4:p:804-822. 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: SAGE Publications (email available below). General contact details of provider: .

    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.