Research on the Impact of Data Elements on the Modernization Level of Industrial Chains

  • Ruilong Guo School of Economics, Hangzhou Dianzi University, China
Keywords: data factors, China's industrial chain modernization, resource misallocation index

Abstract

Based on panel data from 30 Chinese provinces between 2010 and 2021, this study empirically examines the impact of data factor allocation levels on industrial chain modernization and its underlying mechanisms from multiple perspectives. The results demonstrate that data factor allocation significantly improves the level of industrial chain modernization. This conclusion remains robust after addressing endogeneity concerns. Further research reveals that data elements promote industrial chain modernization by alleviating labor factor misallocation. Regional heterogeneity analysis indicates that data factors exhibit substantial effects in eastern China, while their influence remains underdeveloped in central and western regions. Finally, relevant policy recommendations are proposed to optimize these mechanisms.

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Published
2025-06-03
Section
Articles