Against the one-way-street: Analyzing knowledge transfer from industry to science

Heide Fier and Andreas Pyka

No 10-048, ZEW Discussion Papers from ZEW - Leibniz Centre for European Economic Research

Abstract: This study aims at analyzing the differences in the factors that influence the probability of knowledge transfer within industry and from industry to science in the biotechnology sector. In order to model these knowledge flows a citation analysis on the basis of patent data was conducted and a weighted bivariate probit model was estimated on the citation probability of industry and science on the basis of a combined sample of citing and cited patent pairs and an equal number of control patent pairs. The empirical results suggest that there are considerable differences in the citation probability. Cultural closeness for instance has a positive effect on the citation probability from industry to industry while the citation probability of scientific institutions is not affected by cultural distance.

Keywords: Technology transfer; patent citation analysis; biotechnology industry (search for similar items in EconPapers)
JEL-codes: J61 O33 (search for similar items in EconPapers)
Date: 2010
New Economics Papers: this item is included in nep-ino, nep-ipr, nep-pr~ and nep-knm
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Journal Article: Against the one-way-street: analyzing knowledge transfer from industry to science (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:zewdip:10048

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