Spatial networks of China's specialized, refined, distinctive, and innovative medical device firms based on parent–subsidiary contacts: implications for regional health policy

This study examines the spatial structure and determinants of China's specialized, refined, distinctive, and innovative (SRDI) medical device industry through parent-subsidiary linkages. By combining social network analysis and geographical detectors, we analyze nationwide firm-level data from Qixinbao to explore network connectivity, centrality, and their socioeconomic drivers. The results show that (1) the overall network connectivity among Chinese cities is weak, with clear east-west disparities and Shanghai, Guangzhou, Beijing, and Shenzhen functioning as core hubs; (2) four distinct network subgroups exist, each assuming different roles in information and resource diffusion; and (3) factors such as economic base, degree of openness, and technological innovation are strongly associated with variations in network centrality across cities. These findings highlight the uneven spatial organization of China's SRDI medical device industry and underline the importance of strengthening interregional linkages, supporting innovation ecosystems, and improving talent and trade openness in less-developed regions. The study contributes to the literature by combining network analysis with spatial heterogeneity detection, offering empirical evidence for more balanced regional health industry development.

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Publication Details

Journal
Frontiers in Public Health
Published
2025-11-26
DOI
https://doi.org/10.3389/fpubh.2025.1676189
Citations
12
Primary Topic
Advanced Technologies in Various Fields
Type
article
Field-Weighted Citation Impact
29.77

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article

Spatial networks of China's specialized, refined, distinctive, and innovative medical device firms based on parent–subsidiary contacts: implications for regional health policy

Hao Hu, Huijie Yang, Yufeng Chen, Shaobin Wei et al.
12 citations
Frontiers in Public Health
Advanced Technologies in Various Fields
29.77
article

Spatial networks of China's specialized, refined, distinctive, and innovative medical device firms based on parent–subsidiary contacts: implications for regional health policy

Hao Hu, Huijie Yang, Yufeng Chen, Shaobin Wei, Feng Hu, Haiyan Zhou
article en
12 citations

Abstract

This study examines the spatial structure and determinants of China's specialized, refined, distinctive, and innovative (SRDI) medical device industry through parent-subsidiary linkages. By combining social network analysis and geographical detectors, we analyze nationwide firm-level data from Qixinbao to explore network connectivity, centrality, and their socioeconomic drivers. The results show that (1) the overall network connectivity among Chinese cities is weak, with clear east-west disparities and Shanghai, Guangzhou, Beijing, and Shenzhen functioning as core hubs; (2) four distinct network subgroups exist, each assuming different roles in information and resource diffusion; and (3) factors such as economic base, degree of openness, and technological innovation are strongly associated with variations in network centrality across cities. These findings highlight the uneven spatial organization of China's SRDI medical device industry and underline the importance of strengthening interregional linkages, supporting innovation ecosystems, and improving talent and trade openness in less-developed regions. The study contributes to the literature by combining network analysis with spatial heterogeneity detection, offering empirical evidence for more balanced regional health industry development.

Frontiers in Public HealthVol. 13
Shanghai University (CN), Zhejiang Normal University (CN), Nueva Ecija University of Science and Technology (PH), Guangdong University of Finance (CN), Zhejiang Gongshang University (CN), Shanghai University of International Business and Economics (CN)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China
Openalex Percentile: Top 0%
Advanced Technologies in Various Fields
29.77
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