Spatiotemporal evolution characteristics and influencing factors of digital industry in China

被引:0
|
作者
Zhang, Hong [1 ]
Li, Fengjiao [2 ]
Wei, Suqiong [1 ,3 ]
Jiang, Lili [4 ]
Xiong, Junfeng [5 ,6 ]
Zhang, Tianwei [7 ]
机构
[1] Fujian Normal Univ, Inst Geog Res, Fuzhou 350007, Fujian, Peoples R China
[2] Tsinghua Univ, Sch Architecture, Beijing 100084, Peoples R China
[3] Fujian Normal Univ, Fujian Prov Key Lab Subtrop Resources & Environm, Fuzhou 350007, Fujian, Peoples R China
[4] Harbin Normal Univ, Coll Geog Sci, Harbin 150025, Peoples R China
[5] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Lake & Watershed Sci Water Secur, Nanjing 210008, Peoples R China
[6] Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing 210008, Peoples R China
[7] Chongqing Univ Technol, Sch Mat Sci & Engn, Chongqing 400044, Peoples R China
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
基金
中国国家自然科学基金;
关键词
Digital industry; Listed enterprises; Geographical weighted regression; China; SCHUMPETERIAN PATTERNS; TECHNOLOGICAL REGIMES; INNOVATION; CLUSTER; DECLINE;
D O I
10.1038/s41598-024-77690-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:16
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