School of MBA, Zhejiang Gongshang University, Hangzhou, China.
London College of Communication, University of the Arts London, London, United Kingdom.
Front Public Health. 2022 Nov 14;10:1036586. doi: 10.3389/fpubh.2022.1036586. eCollection 2022.
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.
本文基于 incoPat 全球专利数据库(GPD)(2001-2020 年)中的中国生物医药专利数据,采用社会网络分析(SNA)方法,分别从国家、地区间、城市群和省级四个尺度探讨了城市生物医药创新网络的空间格局。研究发现:(1)在国家尺度上,中国生物医药创新网络的复杂性不断增加,其从西向东变得更加密集,空间结构呈现以北京和上海为中心的辐射状网络模式。目前,COVID-19 疫情对该网络没有明显的负面影响。(2)在地区间尺度上,地区间网络联系的强度大于区内网络联系的强度。东部、中部和西部生物医药创新网络呈现以区域中心城市为核心的异质网络特征。(3)在城市群尺度上,城市群内的网络联系强度大于城市群间的网络联系强度。三大城市群已形成以中心城市为枢纽的放射状空间格局。(4)在省级尺度上,省内网络连通性差,内部联系强度低,呈现以省会城市为中心的核心-边缘结构。本研究结论有助于厘清当前技术的积累情况,为中国生物医药产业的发展提供指导。