IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2025i11p1130-d1663079.html
   My bibliography  Save this article

Data Elements and Agricultural Green Total Factor Productivity: Evidence from a Quasi-Natural Experiment Based on Public Data Openness in China

Author

Listed:
  • Jiazhen Ren

    (School of Economics and Management, Yantai University, Yantai 264005, China)

  • Min Wang

    (School of Economics and Management, Yantai University, Yantai 264005, China)

  • Xiaojing Li

    (School of Economics and Management, Yantai University, Yantai 264005, China)

  • Xiaoyu Ding

    (School of Economics and Management, Yantai University, Yantai 264005, China)

Abstract

The digital economy’s development has been significantly influenced by data, which have emerged as a new propelling force for the promotion of high-quality and environmentally friendly agricultural development. This paper employs panel data from 30 provinces in China, spanning from 2000 to 2022. We construct a multi-period difference-in-differences model to investigate the impact of data elements on agricultural green total factor productivity (AGTFP) by utilizing the launch of public data open platforms as a quasi-natural experiment. AGTFP is substantially improved by public data openness, as indicated by the findings. Cross-sectoral labor transfer and green technological innovation are critical pathways through which public data openness enhances AGTFP, according to the mechanism analysis. Furthermore, heterogeneity analysis indicates that the beneficial impact of public data openness on AGTFP is more pronounced in regions with high levels of environmental regulation and non-major grain-producing regions. The results of this study have significant policy implications for the evaluation of the economic impacts of data elements and the promotion of sustainable and environmentally friendly agricultural development.

Suggested Citation

  • Jiazhen Ren & Min Wang & Xiaojing Li & Xiaoyu Ding, 2025. "Data Elements and Agricultural Green Total Factor Productivity: Evidence from a Quasi-Natural Experiment Based on Public Data Openness in China," Agriculture, MDPI, vol. 15(11), pages 1-23, May.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:11:p:1130-:d:1663079
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/11/1130/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/15/11/1130/
    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:jagris:v:15:y:2025:i:11:p:1130-:d:1663079. 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.