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


Fier, Heide ; Pyka, Andreas


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URL: http://ub-madoc.bib.uni-mannheim.de/2978
URN: urn:nbn:de:bsz:180-madoc-29789
Document Type: Working paper
Year of publication: 2010
The title of a journal, publication series: None
Publication language: English
Institution: Sonstige Einrichtungen > ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung
MADOC publication series: Veröffentlichungen des ZEW (Leibniz-Zentrum für Europäische Wirtschaftsforschung) > ZEW Discussion Papers
Subject: 330 Economics
Classification: JEL: O33 J61 ,
Subject headings (SWD): Deutschland , Biotechnologische Industrie , Biotechnologie , Forschung , Forschungskooperation , Wissenschaftstransfer , Technologietransfer
Keywords (English): Technology transfer , patent citation analysis , biotechnology industry
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.
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Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.




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