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

Jingyun Zou ()
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Jingyun Zou: Belarusian State University, Faculty of Economics

A chapter in Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026), 2026, pp 249-255 from Springer

Abstract: 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.

Keywords: Data flow; urban-rural industrial division of labor; supply chain digitalization; value chain spatial restructuring; digital economy; case studies (search for similar items in EconPapers)
Date: 2026
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DOI: 10.2991/978-94-6239-640-1_23

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