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Research on the impact of the digital economy on the level of industrial structure: An empirical study of 280 cities in China

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  • Yanrui Chen

Abstract

As the digital revolution deepens, the digital economy (DE) is reshaping the global industrial structure (IS). This paper utilizes data from 280 Chinese cities between 2007 and 2020 to conduct an in-depth analysis of how DE propels the upgrading of IS and explores the role of human capital (HC) in this process. The research indicates that DE significantly fosters the optimization of IS. Additionally, it was discovered that the growth of HC plays a pivotal mediating role in this evolution, complementing existing research on the relationship between higher education and industrial upgrading. By adopting spatial econometric methods, this study unveils the spillover effects of DE in geographical space, identifying a positive influence on the industrial upgrading of surrounding regions. The paper also confirms the nonlinear characteristics of DE’s impact on IS upgrading, which manifests as a pronounced inverted U-shaped trend, marking a novel discovery. Further findings suggest that in regions with more advanced artificial intelligence technologies, the impact of DE on industrial optimization is more significant, highlighting the role of regional disparities in the digital transformation. In conclusion, the paper proposes policy recommendations based on the research findings to facilitate the development of DE and the elevation of IS levels, thereby promoting high-quality economic growth.

Suggested Citation

  • Yanrui Chen, 2024. "Research on the impact of the digital economy on the level of industrial structure: An empirical study of 280 cities in China," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-16, March.
  • Handle: RePEc:plo:pone00:0298343
    DOI: 10.1371/journal.pone.0298343
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    References listed on IDEAS

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    1. Hongbo Lei & Caihong Tang & Yunfei Long, 2024. "Study on the impact of digital economy on industrial collaborative agglomeration: Evidence from manufacturing and productive service industries," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-20, August.

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