IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6239-640-1_23.html

How does the flow of Data Elements Reshape the Division of Labor Between Urban and Rural Industries? — A case Study Based on the Digitalization of Enterprise Supply Chains

In: Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)

Author

Listed:
  • Jingyun Zou

    (Belarusian State University, Faculty of Economics)

Abstract

This study explores how data elements influence the urban-rural industrial division of labor by reshaping the digitalization process of enterprise supply chains. Based on the analysis of typical cases such as intelligent manufacturing and agricultural e-commerce, this paper proposes a theoretical framework of “data-driven spatial restructuring of value chains,” pointing out that data flow enables the spatial decoupling of the management and coordination functions and physical execution functions of the value chain, thereby guiding high-data-density links to cluster in cities and standardized links to diffuse to counties. The study finds that different data flow patterns will give rise to differentiated urban-rural division of labor. The research conclusions provide a new theoretical perspective and policy implications for understanding the urban-rural integration development in the digital economy era.

Suggested Citation

  • Jingyun Zou, 2026. "How does the flow of Data Elements Reshape the Division of Labor Between Urban and Rural Industries? — A case Study Based on the Digitalization of Enterprise Supply Chains," Advances in Economics, Business and Management Research, in: Hongbo Li & Daowen Qiu & Hui An & Yahua Xu & Liew Chee Yoong (ed.), Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026), pages 249-255, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6239-640-1_23
    DOI: 10.2991/978-94-6239-640-1_23
    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:978-94-6239-640-1_23. 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.