IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-676-5_44.html

Empirical Study of Digital Development Empowering Urban Consumption Expansion: Based on Intermediary Mechanisms and Spatial Effects Analysis

In: Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)

Author

Listed:
  • Yugui Lu

    (Guangxi Vocational Normal University, School of Economics and Trade)

Abstract

Based on panel data from 281 cities in China, this study empirically analyzes the impact of digital development on urban consumption expansion. The research reveals that digital development significantly promotes urban consumption expansion, a conclusion that holds even after dimensional and robustness tests; regional heterogeneity analysis indicates that digital development has a significant promotional effect on consumption expansion in eastern and central cities, but the promotional effect on western cities is not significant; digital development drives urban consumption expansion by enhancing residents’ consumption capacity and willingness; digital development has a significant positive spatial spillover effect on urban consumption expansion. In light of this, policy recommendations include accelerating comprehensive urban digital development, implementing policies to expedite digital development in western cities, enhancing the promotional effects of digital development on residents’ consumption capacity and willingness, and leveraging the spatial spillover effects of digital development on urban consumption expansion.

Suggested Citation

  • Yugui Lu, 2025. "Empirical Study of Digital Development Empowering Urban Consumption Expansion: Based on Intermediary Mechanisms and Spatial Effects Analysis," Advances in Economics, Business and Management Research, in: Manhui Huang & Vilas B. Gaikar & Md Rabiul Islam & Ivan Krumov Todorov (ed.), Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024), pages 453-464, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-676-5_44
    DOI: 10.2991/978-94-6463-676-5_44
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-676-5_44. 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: http://www.springer.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.