IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v90y2026icp869-887.html

Data-driven green future: How can data elements reshape corporate sustainability?

Author

Listed:
  • Liu, Yiqun
  • Miao, Xin

Abstract

With the development trend of the digital economy, data elements (DE) have become a key engine for production, with great power to improve corporate sustainable development performance (CSDP). This paper adopts data from Chinese A-share listed companies from 2010 to 2023. A DE measurement for a firm is approached through text analysis, and a comprehensive CSDP index is constructed based on the entropy weight method. The findings show that DE have a significantly positive effect on CSDP, and the effect is robust after endogeneity correction and a variety of robustness tests. The pathway effect analysis reveals that DE shape CSDP mainly through easing financing constraints, facilitating green investments, and optimizing both the extent and quality of green innovations, apart from the structural effect on agency costs. The heterogeneity analysis based on the Technology-Organization-Environment (TOE) framework also reveals that the DE-induced positive effect is more prominent with increased technological assets, enhanced organizational capacity, and a more favorable external setting. The results have important practical implications for companies that want to adopt a digital route towards sustainability and regulators that want to design better data governance and a digital-green transition.

Suggested Citation

  • Liu, Yiqun & Miao, Xin, 2026. "Data-driven green future: How can data elements reshape corporate sustainability?," Economic Analysis and Policy, Elsevier, vol. 90(C), pages 869-887.
  • Handle: RePEc:eee:ecanpo:v:90:y:2026:i:c:p:869-887
    DOI: 10.1016/j.eap.2026.01.039
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592626000391
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eap.2026.01.039?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

    for a different version of it.

    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:eee:ecanpo:v:90:y:2026:i:c:p:869-887. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/economic-analysis-and-policy .

    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.