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Research on the evolution of the Chinese urban biomedicine innovation network pattern: An analysis using multispatial scales

This paper addresses the spatial pattern of urban biomedicine innovation networks by separately using four scales, i.e., the national scale, interregional scale, urban agglomeration scale, and provincial scale, on the basis of Chinese biomedicine patent data from the incoPat global patent database (...

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Detalles Bibliográficos
Autores principales: Ren, Zhimin, Yu, Jiaao, Qiu, Liping, Hong, Xuya, Wei, Shaobin, Zhou, Haiyan, Hu, Xiao, Zhang, Xiaolei, Zhang, Wei, Bathuure, Isaac Akpemah, Yang, Qican, Su, Ning, Lee, Wei, Wang, Xiaoping, Hu, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9702537/
https://www.ncbi.nlm.nih.gov/pubmed/36452959
http://dx.doi.org/10.3389/fpubh.2022.1036586
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author Ren, Zhimin
Yu, Jiaao
Qiu, Liping
Hong, Xuya
Wei, Shaobin
Zhou, Haiyan
Hu, Xiao
Zhang, Xiaolei
Zhang, Wei
Bathuure, Isaac Akpemah
Yang, Qican
Su, Ning
Lee, Wei
Wang, Xiaoping
Hu, Hao
author_facet Ren, Zhimin
Yu, Jiaao
Qiu, Liping
Hong, Xuya
Wei, Shaobin
Zhou, Haiyan
Hu, Xiao
Zhang, Xiaolei
Zhang, Wei
Bathuure, Isaac Akpemah
Yang, Qican
Su, Ning
Lee, Wei
Wang, Xiaoping
Hu, Hao
author_sort Ren, Zhimin
collection PubMed
description This paper addresses the spatial pattern of urban biomedicine innovation networks by separately using four scales, i.e., the national scale, interregional scale, urban agglomeration scale, and provincial scale, on the basis of Chinese biomedicine patent data from the incoPat global patent database (GPD) (2001–2020) and using the method of social network analysis (SNA). Through the research, it is found that (1) on the national scale, the Chinese biomedicine innovation network becomes denser from west to the east as its complexity continuously increases. Its spatial structure takes the form of a radial network pattern with Beijing and Shanghai as its centers. The COVID-19 pandemic has not had an obvious negative impact on this network at present. (2) On the interregional scale, the strength of interregional network ties is greater than that of intraregional network ties. The eastern, central and western biomedicine innovation networks appear to be heterogeneous networks with regional central cities as the cores. (3) At the urban agglomeration scale, the strength of intraurban-agglomeration network ties is greater than that of interurban-agglomeration network ties. The three major urban agglomerations have formed radial spatial patterns with central cities as the hubs. (4) At the provincial scale, the intraprovincial networks have poor connectivity and low internal ties strength, which manifest as core-periphery structures with the provincial capitals as centers. Our research conclusion helps to clarify the current accumulation of technology and offer guidance for the development of China's biomedicine industry.
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spelling pubmed-97025372022-11-29 Research on the evolution of the Chinese urban biomedicine innovation network pattern: An analysis using multispatial scales Ren, Zhimin Yu, Jiaao Qiu, Liping Hong, Xuya Wei, Shaobin Zhou, Haiyan Hu, Xiao Zhang, Xiaolei Zhang, Wei Bathuure, Isaac Akpemah Yang, Qican Su, Ning Lee, Wei Wang, Xiaoping Hu, Hao Front Public Health Public Health This paper addresses the spatial pattern of urban biomedicine innovation networks by separately using four scales, i.e., the national scale, interregional scale, urban agglomeration scale, and provincial scale, on the basis of Chinese biomedicine patent data from the incoPat global patent database (GPD) (2001–2020) and using the method of social network analysis (SNA). Through the research, it is found that (1) on the national scale, the Chinese biomedicine innovation network becomes denser from west to the east as its complexity continuously increases. Its spatial structure takes the form of a radial network pattern with Beijing and Shanghai as its centers. The COVID-19 pandemic has not had an obvious negative impact on this network at present. (2) On the interregional scale, the strength of interregional network ties is greater than that of intraregional network ties. The eastern, central and western biomedicine innovation networks appear to be heterogeneous networks with regional central cities as the cores. (3) At the urban agglomeration scale, the strength of intraurban-agglomeration network ties is greater than that of interurban-agglomeration network ties. The three major urban agglomerations have formed radial spatial patterns with central cities as the hubs. (4) At the provincial scale, the intraprovincial networks have poor connectivity and low internal ties strength, which manifest as core-periphery structures with the provincial capitals as centers. Our research conclusion helps to clarify the current accumulation of technology and offer guidance for the development of China's biomedicine industry. Frontiers Media S.A. 2022-11-14 /pmc/articles/PMC9702537/ /pubmed/36452959 http://dx.doi.org/10.3389/fpubh.2022.1036586 Text en Copyright © 2022 Ren, Yu, Qiu, Hong, Wei, Zhou, Hu, Zhang, Zhang, Bathuure, Yang, Su, Lee, Wang and Hu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Ren, Zhimin
Yu, Jiaao
Qiu, Liping
Hong, Xuya
Wei, Shaobin
Zhou, Haiyan
Hu, Xiao
Zhang, Xiaolei
Zhang, Wei
Bathuure, Isaac Akpemah
Yang, Qican
Su, Ning
Lee, Wei
Wang, Xiaoping
Hu, Hao
Research on the evolution of the Chinese urban biomedicine innovation network pattern: An analysis using multispatial scales
title Research on the evolution of the Chinese urban biomedicine innovation network pattern: An analysis using multispatial scales
title_full Research on the evolution of the Chinese urban biomedicine innovation network pattern: An analysis using multispatial scales
title_fullStr Research on the evolution of the Chinese urban biomedicine innovation network pattern: An analysis using multispatial scales
title_full_unstemmed Research on the evolution of the Chinese urban biomedicine innovation network pattern: An analysis using multispatial scales
title_short Research on the evolution of the Chinese urban biomedicine innovation network pattern: An analysis using multispatial scales
title_sort research on the evolution of the chinese urban biomedicine innovation network pattern: an analysis using multispatial scales
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9702537/
https://www.ncbi.nlm.nih.gov/pubmed/36452959
http://dx.doi.org/10.3389/fpubh.2022.1036586
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