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An analysis of science–industry collaborative patterns in a large European University

Rachel Levy (), Pascale Roux and Sandrine Wolff ()
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Rachel Levy: BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique
Sandrine Wolff: BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique

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Abstract: This paper analyses the modalities according to which a large European university collaborates with firms by exploring its relational portfolio. We address this issue by exploiting a database listing more than 1000 firms having collaborated with the University Louis Pasteur between 1990 and 2002. First, using multi-correspondence analysis, we derive a four-classes typology of collaborative behaviours, each of them presenting a strong internal coherence. We obtain four distinct collaboration patterms, for which the frequency of interactions and the exclusive vs. open character of the relationships are discriminating features. Second, using a multinomial logit estimation, we show how this diversity is connected to some individual attributes of the firms : size, legal status, industrial sector and geographic distance from the public partner.

Keywords: Science-industry collaborations; Typology; Industrial collaboration patterns (search for similar items in EconPapers)
Date: 2005
Note: View the original document on HAL open archive server: https://hal.science/hal-00279261v1
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Published in Journal of Technology Transfer, 2005, 34 (1), pp.1-23. ⟨10.1007/s10961-007-9044-0⟩

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Journal Article: An analysis of science–industry collaborative patterns in a large European University (2009) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00279261

DOI: 10.1007/s10961-007-9044-0

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