Spatiotemporal evolution characteristics and influencing factors of digital industry in China

In the era of the global knowledge economy, the rapid advancement of new-generation information technologies has positioned digital industry at the forefront of socio-economic development. Digital industrial clusters, comprising key enterprises and related institutions, have emerged as global hubs for technological innovation, drawing recognition from governments and international organizations. However, China's digital industry faces challenges characterized by being "large but not strong" and experiencing "industrial structure softening." This paper explores the temporal evolution and spatial distribution of China's digital industry, shedding light on its unique patterns. This study reveals that China's digital industry has progressed through four distinct phases, evolving from manufacturing-oriented to service-oriented, and experiencing dynamic stability. In terms of spatial distribution, it exhibits a pattern known as the "One Core, Three Poles, and Multiple Strongholds," with Beijing as the core and Shanghai, Shenzhen, Hangzhou, among others, serving as growth poles. The study identifies factors influencing spatial distribution, including software development, patent authorizations, mobile phone penetration, industrial parks, digital finance, and foreign investment. Manufacturing-based digital industries prioritize innovation and IP protection, while service-based sectors rely on software development, innovation, and international collaboration. The GWR model demonstrates spatial variation, emphasizing the importance of tailored development strategies. This research contributes to understanding the dynamics of China's digital industry and provides valuable insights for policymakers aiming to create an internationally competitive digital industry cluster.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-11-19
DOI
https://doi.org/10.1038/s41598-024-77690-2
Citations
10
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
11.29

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal evolution characteristics and influencing factors of digital industry in China

Fengjiao Li, Lili Jiang, Junfeng Xiong, Tianwei Zhang et al.
10 citations
Scientific Reports
Energy, Environment, Economic Growth
11.29
article

Spatiotemporal evolution characteristics and influencing factors of digital industry in China

Fengjiao Li, Lili Jiang, Junfeng Xiong, Tianwei Zhang, Wei Su-qiong, Hong Zhang
article en
10 citations

Abstract

In the era of the global knowledge economy, the rapid advancement of new-generation information technologies has positioned digital industry at the forefront of socio-economic development. Digital industrial clusters, comprising key enterprises and related institutions, have emerged as global hubs for technological innovation, drawing recognition from governments and international organizations. However, China's digital industry faces challenges characterized by being "large but not strong" and experiencing "industrial structure softening." This paper explores the temporal evolution and spatial distribution of China's digital industry, shedding light on its unique patterns. This study reveals that China's digital industry has progressed through four distinct phases, evolving from manufacturing-oriented to service-oriented, and experiencing dynamic stability. In terms of spatial distribution, it exhibits a pattern known as the "One Core, Three Poles, and Multiple Strongholds," with Beijing as the core and Shanghai, Shenzhen, Hangzhou, among others, serving as growth poles. The study identifies factors influencing spatial distribution, including software development, patent authorizations, mobile phone penetration, industrial parks, digital finance, and foreign investment. Manufacturing-based digital industries prioritize innovation and IP protection, while service-based sectors rely on software development, innovation, and international collaboration. The GWR model demonstrates spatial variation, emphasizing the importance of tailored development strategies. This research contributes to understanding the dynamics of China's digital industry and provides valuable insights for policymakers aiming to create an internationally competitive digital industry cluster.

Scientific ReportsVol. 14(1)
Fujian Normal University (CN), Harbin Normal University (CN), Chinese Academy of Sciences (CN), Nanjing Institute of Geography and Limnology (CN), Chongqing University of Technology (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Natural Science Foundation of Heilongjiang Province, Harbin Normal University
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Energy, Environment, Economic Growth
11.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.