IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i9p1923-d1754330.html
   My bibliography  Save this article

Inter-Firm Land Optimization and the Advancement of New Quality Productive Forces—Empirical Evidence Based on Micro-Enterprise Data

Author

Listed:
  • Yanzhi Liu

    (School of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing 100070, China)

  • Jian Cheng

    (School of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing 100070, China)

  • Cheng Li

    (School of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing 100070, China)

Abstract

In the context of advancing new quality productive forces (NQP), the optimization of factor allocation is of critical importance. This study empirically examines how inter-firm land allocation affects the development of NQP and explores the moderating roles of labor, capital, and data factors from a perspective of factor synergy. Combining theoretical analysis with empirical investigation, the findings are as follows: (1) optimizing land allocation across firms significantly enhances the level of urban NQP, and this result remains robust after accounting for endogeneity and a series of robustness checks; (2) capital expansion and the scaling of data resources substantially reinforce the positive effect of land allocation on NQP, whereas the interregional mobility of labor—particularly high-skilled workers—exerts a negative moderating influence. The results suggest that policymakers should promote the rational allocation of land resources while leveraging the synergistic effects of labor, capital, and data to accelerate the development of NQP at the local level.

Suggested Citation

  • Yanzhi Liu & Jian Cheng & Cheng Li, 2025. "Inter-Firm Land Optimization and the Advancement of New Quality Productive Forces—Empirical Evidence Based on Micro-Enterprise Data," Land, MDPI, vol. 14(9), pages 1-20, September.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:9:p:1923-:d:1754330
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/9/1923/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/9/1923/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    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:gam:jlands:v:14:y:2025:i:9:p:1923-:d:1754330. 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.