IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v157y2026ics0264999326000222.html

Cross-border data regulation and export quality: Evidence from China

Author

Listed:
  • Liu, Yu
  • Yu, Huan

Abstract

Existing literature predominantly focuses on traditional trade barriers, with relatively limited exploration of new types of obstacles in the digital era. Based on data from Chinese customs and the OECD spanning from 2014 to 2021, this study examines the impact of host countries' cross-border data regulations on China's export quality. The findings reveal that (1) host countries' cross-border data regulations significantly suppress China's export quality; (2) moderating effects indicate that improvements in technological innovation and human capital levels can mitigate the inhibitory effect of cross-border data regulations on export product quality; and (3) heterogeneity analysis shows that this negative impact is more pronounced in China's exports to developed economies and economies with higher levels of digital economy development, with a particularly significant impact on high-tech industries.

Suggested Citation

  • Liu, Yu & Yu, Huan, 2026. "Cross-border data regulation and export quality: Evidence from China," Economic Modelling, Elsevier, vol. 157(C).
  • Handle: RePEc:eee:ecmode:v:157:y:2026:i:c:s0264999326000222
    DOI: 10.1016/j.econmod.2026.107493
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999326000222
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2026.107493?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:ecmode:v:157:y:2026:i:c:s0264999326000222. 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/30411 .

    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.