IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i7p3237-d1903684.html

Digital Governance and Urban Innovation: Evidence from China

Author

Listed:
  • Hengzhong Mo

    (School of Economics and Management, Northeast Normal University, Changchun 130117, China)

  • Binbin Zhu

    (School of Economics and Management, Northeast Normal University, Changchun 130117, China)

  • Na Ou

    (School of Economics and Management, Northeast Normal University, Changchun 130117, China)

  • Xinyan Zhao

    (School of Economics and Management, Yunnan University of Nationalities, Kunming 650504, China)

Abstract

Promoting digital governance is a key direction for the Chinese government’s governance reform. Based on panel data from 280 prefecture-level and above cities spanning 2008–2023, this study treats the “National Pilot Policy for Information Benefiting the People” as a quasi-natural experiment. Employing a difference-in-differences model, it examines the impact of government digital governance on urban innovation and its underlying mechanisms. Findings indicate that digital governance significantly enhances urban innovation, with conclusions remaining robust after rigorous stability tests and endogeneity treatments. Mechanism tests reveal that digital governance enhances urban innovation by cultivating innovation entities, improving the innovation environment, and optimizing the allocation of innovation elements. Further analysis indicates that the impact of digital governance on urban innovation is influenced by city location and development level. In eastern regions, areas with lower government fiscal pressure, and regions with higher levels of informatization, government digital transformation is more effective in boosting urban innovation. In addition, digital governance has significantly promoted sustainable and strategic innovation in cities and can influence innovation in neighboring areas through spillover effects. These findings can provide valuable insights for promoting urban innovation.

Suggested Citation

  • Hengzhong Mo & Binbin Zhu & Na Ou & Xinyan Zhao, 2026. "Digital Governance and Urban Innovation: Evidence from China," Sustainability, MDPI, vol. 18(7), pages 1-23, March.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:7:p:3237-:d:1903684
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/7/3237/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/7/3237/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:18:y:2026:i:7:p:3237-:d:1903684. 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.