Regional University-Industry Knowledge Flow: A Study of Chinese Academic Patent Licensing Data

Xiaopei Gao^*, Yuming Chen, Wei Song, Xiaobao Peng, Xiaoyan Song

School of Public Affairs, University of Science & Technology of China, Hefei, China.

DOI: 10.4236/jss.2015.32009                

Abstract

Knowledge and technology transferring between universities and industries had been an important research focus of innovation management. Bibliometric research on the university-industry knowledge transferring had always used patent collaboration and citation data as indicators. However, patent licensing data were more representative and could target the knowledge transferring directions. This paper had gone through the data of Chinese academic-industry patent licensing and focused on the variances in regional level and geographic distance. Using patent licensing document analyzing method, the academic-industry knowledge flowing patterns had been discovered. Results showed that localization effects had been existed in those Chinese regions and the engagement of knowledge transferring was severely unbalanced.

Keywords

Knowledge Transfer, University-Industry, Patent, Licensing, Knowledge Flow

Conflicts of Interest

The authors declare no conflicts of interest.

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