Measuring the intensity of knowledge flow with patent statistics

King Fai Fung; William W. Chow

doi:10.1016/S0165-1765(01)00558-4

Measuring the intensity of knowledge flow with patent statistics

King Fai Fung, William W. Chow

Research output: Journal article publication › Journal article › Academic research › peer-review

51 Citations (Scopus)

Abstract

Our study is based on the patent data of 224 firms in the computer, chemical, and electronic and electrical industries worldwide. We find that on average 19.3% of the knowledge spillover is generated within the industries, with the rest stemming from other industries. Also, there is a significant positive relationship between technological overlap between firms and internal knowledge flow in an industry.

Original language	English
Pages (from-to)	353-358
Number of pages	6
Journal	Economics Letters
Volume	74
Issue number	3
DOIs	https://doi.org/10.1016/S0165-1765(01)00558-4
Publication status	Published - 1 Feb 2002

Keywords

Innovation
Knowledge spillover
Patent

ASJC Scopus subject areas

Economics and Econometrics
Finance

More information

10.1016/S0165-1765(01)00558-4

Cite this

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Measuring the intensity of knowledge flow with patent statistics

Abstract

Keywords

ASJC Scopus subject areas

More information

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