Mapping and Evaluating Regional University-Industry Knowledge Flow through Patent Licensing

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.2015.31001                

Abstract

Different regions had various kinds of academic resources and industries competitors. The knowledge and innovation output generated by researchers in academy had been transferred into industries through patent licensing. Using the patent licensing document analyzing method and the mapping technique, the academic-industry knowledge flowing patterns of different regions in China had been discovered and visualized in maps. The regional performance of academic-industry knowledge transfer was rather mixed and unbalanced. Based on the licensing performance data, this paper had also generated a 4 × 4 block matrix as evaluation tool and ranked 28 Chinese regions into 8 levels according to their academic licensing performance. Further suggestions and advice had been given for regions in different levels.

Keywords

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

Conflicts of Interest

The authors declare no conflicts of interest.

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