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| INNOVATION, KNOWLEDGE SPILLOVERS AND UNIVERSITY-INDUSTRY COLLABORATION IN CHINA'S EQUIPMENT MANUFACTURING INDUSTRY: BASED ON AN EXTENDED KNOWLEDGE PRODUCTION FUNCTION APPROACH |
| MA Shuang, ZENG Gang |
| The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China |
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Abstract This article uses the patent information services platform provided by State Intellectual Property Offices to search and manipulate the patents of China's equipment manufacturing industry. The effect of university-industry collaboration networks and spatial structure on knowledge spillovers are modeled, using an extended knowledge production function framework applied to regions in China. To eliminate the problem of spatial autocorrelation, we use weight matrix to minimization the errors. The collaboration networks weight matrix which refer the cross-regional knowledge spillover are indicated by the collaboration published papers of multiple authors and organizations, which based on the Chongqing VIP Information Database. Also, we employ an accurate measure of spatial distance from terrain database of China National Reconnaissance Office's fundamental geographic information system to indicate the geographical weight matrix. Actually, we find that university and research institutions have a strong knowledge spillovers effect at regional and cross-regional scale, geographic space and innovation network play an important role in the crossregional ones. Furthermore, the knowledge spillovers from university and research institutions is not limited to the regional scale, but also occurs in higher scale; Under the control of the geographical space, the effects of high quality labor force mobility on regional innovation is very significant and stable, while the mechanism of spin-offs from university and research institution is not clear, the reason may be related to the selection of space scale. Finally, we can do some further researches from space scale selection and evolution two aspects.
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Received: 16 March 2015
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2016, Vol. 31 
