Abstract
The topological structure and multidimensional proximity evolution mechanism of Guangzhou biomedical industry innovation network are studied by using cooperative patents and cooperative papers from 1998 to 2018 with Ucinet and PLS-SEM. Research shows: ① The evolution of the Guangzhou Biomedical Industry Innovation Network can be divided into three stages, which are the primary budding stage of 1998–2005, the steady development stage of 2006–2012, and the rapid development stage of 2013–2018; ② the number of subjects in the innovation network is increasing, and the types of subjects are constantly increasing. The innovation network has gone from small to large, from closed to open, and from simple to complex. Patents and papers cooperation networks show different characteristics at various stages; ③ the relationship between geographical proximity, cognitive proximity, organizational proximity, and innovation network differs in stages. The interaction of proximity varies with the content of innovation cooperation. Based on this result, we have put forward policy recommendations for different innovative content.
Highlights
In the era of knowledge economy, innovation has become a core factor affecting regional competitiveness [1]
We review the existing literature, including the structure of innovation networks, multidimensional proximity, and some empirical studies in China; the author introduces the overview of the case area selected in this article, and introduces the research data and method of this article; in the fourth part, we analyzed the evolution path of Guangzhou biomedical industry and its network structure changes; in the fifth part, we conduct an in-depth analysis of the multi-dimensional proximity drivers of the network structure; the conclusions of this article and the relevant policy implications
The biomedical industry was gradually developing as a node, with innovations such as new drugs, patents, and papers develop from scratch; the total number of enterprises established and listed was small, the growth rate is slow; the biotechnology professional park was still under construction
Summary
In the era of knowledge economy, innovation has become a core factor affecting regional competitiveness [1]. This article takes Guangzhou as a research area, because its biomedical industry is prominent in China About this case, some researchers explored the relationship between innovation performance, knowledge sources, and personal networks from a relatively static perspective [18]. We review the existing literature, including the structure of innovation networks, multidimensional proximity, and some empirical studies in China; the author introduces the overview of the case area selected in this article, and introduces the research data and method of this article; in the fourth part, we analyzed the evolution path of Guangzhou biomedical industry and its network structure changes; in the fifth part, we conduct an in-depth analysis of the multi-dimensional proximity drivers of the network structure; the conclusions of this article and the relevant policy implications
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