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<p>To systematically reveal the evolutionary patterns and underlying mechanisms of the digital-real integration (DRI) network in this region, this study takes 38 prefecture-level cities in the middle and lower reaches of the Yellow River as the research objects. Based on the DRI patent cooperation data from 2010 to 2024, the study focuses on four sub-sectors under the digital economy. By employing a comprehensive methodology that combines complex network analysis with the gravity model, this study conducts an in-depth analysis of the topological structure, spatial patterns, and evolutionary drivers of the DRI network from both cross-regional and intra-regional dimensions. The primary findings are as follows: (1) The DRI in the middle and lower Yellow River region exhibits a dual network structure, characterized by the coexistence of a “cross-regional backbone” and “intra-regional clusters”. (2) Both network types show a clear evolutionary trend from a “single-core” to a “multi-core” structure, enhancing the network’s overall balance. (3) The analysis of evolutionary mechanisms indicates that institutional proximity is the most critical driving force for the formation of network connections, with its role increasingly strengthening, while the influence of traditional geographical proximity is gradually diminishing. The role of economic proximity has shifted from an “complementary drive” to a “collaborative drive”. (4) Significant heterogeneity exists in the network characteristics and driving mechanisms across the different sub-sectors. These findings provides a scientific basis and decision-making reference for optimizing the regional digital industry layout, bridging the “digital divide”, and formulating targeted policies to promote high-quality economic development.</p>

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Research on the evolution of digital-real integration networks based on digital sub-sectors: evidence from the middle and lower reaches of Yellow River Basin, China

  • 期刊论文

  • 发表日期：

    2026年2月16日

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  • Yan Zhou,
  • Chenglin Miao

摘要

To systematically reveal the evolutionary patterns and underlying mechanisms of the digital-real integration (DRI) network in this region, this study takes 38 prefecture-level cities in the middle and lower reaches of the Yellow River as the research objects. Based on the DRI patent cooperation data from 2010 to 2024, the study focuses on four sub-sectors under the digital economy. By employing a comprehensive methodology that combines complex network analysis with the gravity model, this study conducts an in-depth analysis of the topological structure, spatial patterns, and evolutionary drivers of the DRI network from both cross-regional and intra-regional dimensions. The primary findings are as follows: (1) The DRI in the middle and lower Yellow River region exhibits a dual network structure, characterized by the coexistence of a “cross-regional backbone” and “intra-regional clusters”. (2) Both network types show a clear evolutionary trend from a “single-core” to a “multi-core” structure, enhancing the network’s overall balance. (3) The analysis of evolutionary mechanisms indicates that institutional proximity is the most critical driving force for the formation of network connections, with its role increasingly strengthening, while the influence of traditional geographical proximity is gradually diminishing. The role of economic proximity has shifted from an “complementary drive” to a “collaborative drive”. (4) Significant heterogeneity exists in the network characteristics and driving mechanisms across the different sub-sectors. These findings provides a scientific basis and decision-making reference for optimizing the regional digital industry layout, bridging the “digital divide”, and formulating targeted policies to promote high-quality economic development.