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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53615#.VMnwoCzQrzE
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.
Cite this paper
References
Gao,
X. , Chen, Y. , Song, W. , Peng, X. and Song, X. (2015) Regional
University-Industry Knowledge Flow: A Study of Chinese Academic Patent
Licensing Data. Open Journal of Social Sciences, 3, 59-73. doi: 10.4236/jss.2015.32009.
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