IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v12y2025i1d10.1057_s41599-025-05107-0.html
   My bibliography  Save this article

Big data and firm greenwashing: evidence from China’s national big data comprehensive pilot zone

Author

Listed:
  • Jianjun Sun

    (Hainan University)

  • Nannan Zu

    (Hainan University)

  • Chao Zhang

    (Hainan University)

Abstract

Big data is playing an increasingly important role in addressing environmental challenges. Using the launch of China’s national big data comprehensive pilot zone in 2016 as an exogenous event, this paper employs the difference-in-differences method to examine the causal effect of big data on firm greenwashing. The regression result indicates that big data has an inhibitory effect on firm greenwashing. A plausible underlying mechanism is that big data enhances environmental performance and alleviates information asymmetry between the firm and stakeholders. The inhibitory effect is more pronounced in state-owned enterprises and those with high market competition. The findings better explain how the digital factor drives green development at the firm level.

Suggested Citation

  • Jianjun Sun & Nannan Zu & Chao Zhang, 2025. "Big data and firm greenwashing: evidence from China’s national big data comprehensive pilot zone," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-10, December.
  • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05107-0
    DOI: 10.1057/s41599-025-05107-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-025-05107-0
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-025-05107-0?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.

    More about this item

    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:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05107-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.