A study measuring the degree of integration between the digital economy and logistics industry in China

• Published in: PloS one Vol. 17; no. 9; p. e0274006
• Main Authors: Zhang, Wei, Liu, Hongli, Yao, Yuan, Fan, Zifu
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 22.09.2022; Public Library of Science (PLoS)
• Subjects: Artificial intelligence; Auroral kilometric radiation; Automation; Big Data; Business forms; China; Cloud computing; Computer and Information Sciences; Convergence; Digital economy; Digital technology; Earth Sciences; Economic aspects; Economic development; Economic growth; Economics; Engineering and Technology; Evaluation; Global economy; Growth rate; Innovations; Integration; Internet of Things; Logistics; Logistics services; Network analysis; People and Places; Radiation; Radiation effects; Social change; Social networks; Social organization; Social Sciences; Spatial distribution; Subgroups; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0274006

Under the new development pattern, the penetration and integration between industries is becoming increasingly active, constantly promoting the rationalisation and heightening of the entire industrial structure and structuring new convergent industrial bodies. To explore the degree of integration between the digital economy and the logistics industry, this paper uses input-output models and social network analysis to empirically analyse the level of industrial integration between the core industries of China’s digital economy and the logistics industry during the period 2007–2017. The level of integration between the core industries of China’s digital economy and the logistics industry is measured, and its spatial and temporal characteristics are also measured and analysed. The analysis showed that (1) the degree of integration between the two industries is low, but with changes over time, the degree of integration will follow an upwards trend; the overall level of integration is increasing with the development of the core industries of the digital economy; the growth rate is significant, and developed regions have a clear advantage because of the intensity of integration. (2) The direction of industrial integration linkages is basically stable, with the pointing characteristics of adjacent provinces, and the spatial distribution shows a pattern of diffusion from the central region to the eastern and western regions. Overall, the integration shows an economic radiation effect, but there are large differences between the north and south. (3) It is easier for adjacent provinces to form the same cohesive subgroup in a network and develop together. At the same time, the integration network shows a clear pattern of marginal-semimmarginalization. The study enriches and improves the research status of China’s digital economy industry convergence, and provides theoretical support for the formulation of policies related to the synergistic development of China’s digital economy and logistics industry.