IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v101y2025ics105905602500396x.html
   My bibliography  Save this article

Exploring the transmission pathway of “Data-Finance” synergistic clustering on corporate economic adaptability: Evidence from quasi-experimental analysis in national Big Data Pilot Zones

Author

Listed:
  • Xu, Jing
  • Xu, Wudi

Abstract

Under the dual impetus of digital transformation and financial deepening, data has become a critical driver of economic development. This study, set against the backdrop of national big data comprehensive pilot zones, utilizes data from Chinese listed companies spanning 2011–2022. Employing a multi - period difference - in - differences method, it thoroughly examines the impact of “Data + Finance” dual agglomeration on corporate economic resilience, which encompasses growth resilience and volatility resilience. The research findings reveal that data factor agglomeration significantly enhances both corporate economic growth resilience and volatility resilience. Financial agglomeration, on the other hand, primarily exerts a positive impact on economic growth resilience, with little discernible effect on volatility resilience. Mediating effect analysis indicates that data factor agglomeration indirectly strengthens corporate economic growth resilience by promoting financial agglomeration. Further heterogeneity analysis uncovers significant differences in the positive effects of data factor agglomeration and the mediating role of financial agglomeration across firms of varying scales and industries (high - tech and non - high - tech). This study not only provides empirical evidence on the impact of “Data + Finance” dual agglomeration on corporate economic resilience but also offers strategic guidance for enterprises to enhance resilience and address challenges in the digital economy era. It holds profound significance for promoting the deep integration of the digital economy with the real economy.

Suggested Citation

  • Xu, Jing & Xu, Wudi, 2025. "Exploring the transmission pathway of “Data-Finance” synergistic clustering on corporate economic adaptability: Evidence from quasi-experimental analysis in national Big Data Pilot Zones," International Review of Economics & Finance, Elsevier, vol. 101(C).
  • Handle: RePEc:eee:reveco:v:101:y:2025:i:c:s105905602500396x
    DOI: 10.1016/j.iref.2025.104233
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S105905602500396X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2025.104233?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 search for a different version of it.

    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:reveco:v:101:y:2025:i:c:s105905602500396x. 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.elsevier.com/locate/inca/620165 .

    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.