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

DOI

10.2991/978-94-6239-640-1_23How to use a DOI?

Keywords

Data flow; urban-rural industrial division of labor; supply chain digitalization; value chain spatial restructuring; digital economy; case studies

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.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Jingyun Zou
PY  - 2026
DA  - 2026/04/20
TI  - 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
BT  - Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)
PB  - Atlantis Press
SP  - 249
EP  - 255
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-640-1_23
DO  - 10.2991/978-94-6239-640-1_23
ID  - Zou2026
ER  -