SCIENTIA GEOGRAPHICA SINICA ›› 2014, Vol. 34 ›› Issue (9): 1051-1059.doi: 10.13249/j.cnki.sgs.2014.09.1051

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Innovation Network System of Industry-University-Research Institute of Equipment Manufacturing Industry in the Changjiang River Delta

Guo-qing LU1(), Gang ZENG1, Jin-long GUO2   

  1. 1. The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062,China
    2.Business School, East China Normal University, Shanghai 200241, China
  • Received:2013-03-15 Revised:2013-05-09 Online:2014-09-10 Published:2014-09-10

Abstract:

Network perspective has already been applied in diverse areas. However, the adoption of innovation network formed by companies, universities and research institutes is not as common and integrated as that the academic research might have emphasized, especially the equipment manufacturing industry in the Changjiang River Delta of China. This article, using data from the national key industry patent information service platform, focuses on the structural and spatial characteristics of the innovation network from 1985 to 2010. Combining the judgment that universities have been the main forces in the field of public research since 2000, we analyze the evolution of the innovation network in terms of node type, segmented industry category and location by four stages in 1985-1999, 2000-2005, 2006-2008 and 2009-2010. Utilizing the analytical approach of the social network, there are some main conclusions drawn from the research. 1) Features of innovation network of equipment manufacturing industry in the Changjiang River Delta have changed obviously from 1985 to 2010, showing a “core-periphery” paradigm. The bidirectional interaction of cooperative innovation mechanism between universities and companies has not yet been established. It still stays at the initial stage. 2) From the spatial characteristics of the network during 1985-2010, cities have different characteristics individually. Although other cities out of the region, such as Beijing, have become a powerful knowledge pool, cities located in the region of Changjiang River Delta still tend to cooperate with local universities or research institutions. It is obvious that geographic proximity, administrative proximity and knowledge size proximity become the most important factors which influence agents to build the cooperation networks. 3) In order to promote the performance of innovation network, the article deems that we should select key enterprises, firms and factories. By supporting the central nodes, establishing the knowledge transfer platform and encouraging firms to cooperate with universities and research institutions in the process of innovation, we predict that the innovation network system of industry-university-research interaction of equipment manufacturing industry in Changjiang River Delta will become more robust and reliable. Finally, we make some key suggestions for the future research. First, the advantage of patent lies in the higher availability and controllability, but it only presents one facet of the innovation. So we must strengthen field research to get more detailed and accurate data. Second, the depiction of network graph can be conductive to express the visualization of information, but it does not involve the analysis of internal evolution mechanism. At last, it is important to build a multi-dimensional adjacent framework. The interaction effect on innovation between network and space will be the focus of research in the next stage.

Key words: innovation network, quipment manufacturing industry, the Changjiang River Delta

CLC Number: 

  • F129.9