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

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  • Heide Fier
  • Andreas Pyka

Abstract

Knowledge flows from industry to science have mostly been neglected by empirical studies. This work aims at contributing to this issue by analyzing 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 we conduct a citation analysis on the basis of patent data. We then estimate a weighted bivariate probit model 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. Copyright Springer Science+Business Media, LLC 2014

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  • Heide Fier & Andreas Pyka, 2014. "Against the one-way-street: analyzing knowledge transfer from industry to science," The Journal of Technology Transfer, Springer, vol. 39(2), pages 219-246, April.
  • Handle: RePEc:kap:jtecht:v:39:y:2014:i:2:p:219-246
    DOI: 10.1007/s10961-011-9226-7
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    Cited by:

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    2. Rosa Caiazza & Aileen Richardson & David Audretsch, 2015. "Knowledge effects on competitiveness: from firms to regional advantage," The Journal of Technology Transfer, Springer, vol. 40(6), pages 899-909, December.
    3. Joaquín M. Azagra-Caro & Anabel Fernández-Mesa & Nicolás Robinson-García, 2020. "‘Getting out of the closet’: scientific authorship of literary fiction and knowledge transfer," The Journal of Technology Transfer, Springer, vol. 45(1), pages 56-85, February.

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    More about this item

    Keywords

    Technology transfer; Patent citation analysis; Biotechnology industry; J61; O33;
    All these keywords.

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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