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<p>The logistics industry is undergoing rapid transformation and evolution driven by the advancement of the digital economy and the pervasive impact of digital technologies. The synergistic development of the digital economy and the logistics industry carries substantial strategic significance for enhancing economic efficiency, optimizing resource allocation, and achieving sustainable growth. This paper employs panel data from 30 provinces in China covering the period from 2013 to 2022 to construct a comprehensive evaluation index system for both the digital economy and the logistics industry, which applies the coupling coordination degree model, exploratory spatio-temporal data analysis (ESTDA), and the obstacle degree model to systematically examine the spatio‑temporal characteristics and barriers of the coordinated development between these two systems. The authors find that: (i) The coupling coordination of digital economy and logistics industry exhibits considerable regional disparities. The degree of coordination has shifted from an initial disharmonious stage into a transitional phase, accompanied by a clear manifestation of the “Matthew effect”; (ii) The coordination level exhibits a significantly positive spatial auto-correlation. Stability of local spatial structures varies across regions; collaborative patterns tend to dominate over competitive ones, and spatio-temporal transitions demonstrate relatively strong path dependence. (iii) The impacts of the digital economy and the logistics industry vary across different levels. Major obstacles at different hierarchical levels are distributed across various subsystems. At the criterion level, the foremost obstacle is the development of the digital industry. At the indicator level, the top five obstacle factors are, in descending order of influence: express delivery volume, the number of information technology enterprises, software business revenue, technology market transaction value, and the number of R&amp;D projects in large industrial enterprises. The empirical findings provide quantitative evidence to inform regionally differentiated policy design and cross-system collaborative optimization.</p>

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Analysis of Spatio-temporal Characteristics and Obstacle Factors of Coupling and Synergy Between Digital Economy and Logistics Industry

  • 期刊论文

  • 发表日期：

    2026年7月7日

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  • Xinbao Tian,
  • Peixuan Li

摘要

The logistics industry is undergoing rapid transformation and evolution driven by the advancement of the digital economy and the pervasive impact of digital technologies. The synergistic development of the digital economy and the logistics industry carries substantial strategic significance for enhancing economic efficiency, optimizing resource allocation, and achieving sustainable growth. This paper employs panel data from 30 provinces in China covering the period from 2013 to 2022 to construct a comprehensive evaluation index system for both the digital economy and the logistics industry, which applies the coupling coordination degree model, exploratory spatio-temporal data analysis (ESTDA), and the obstacle degree model to systematically examine the spatio‑temporal characteristics and barriers of the coordinated development between these two systems. The authors find that: (i) The coupling coordination of digital economy and logistics industry exhibits considerable regional disparities. The degree of coordination has shifted from an initial disharmonious stage into a transitional phase, accompanied by a clear manifestation of the “Matthew effect”; (ii) The coordination level exhibits a significantly positive spatial auto-correlation. Stability of local spatial structures varies across regions; collaborative patterns tend to dominate over competitive ones, and spatio-temporal transitions demonstrate relatively strong path dependence. (iii) The impacts of the digital economy and the logistics industry vary across different levels. Major obstacles at different hierarchical levels are distributed across various subsystems. At the criterion level, the foremost obstacle is the development of the digital industry. At the indicator level, the top five obstacle factors are, in descending order of influence: express delivery volume, the number of information technology enterprises, software business revenue, technology market transaction value, and the number of R&D projects in large industrial enterprises. The empirical findings provide quantitative evidence to inform regionally differentiated policy design and cross-system collaborative optimization.