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

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  • Fier, Heide
  • Pyka, Andreas

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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  • Fier, Heide & Pyka, Andreas, 2010. "Against the one-way-street: Analyzing knowledge transfer from industry to science," ZEW Discussion Papers 10-048, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:10048
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    Cited by:

    1. 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.
    2. 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.
    3. Daniel Coronado & Esther Flores & M. Ángeles Martínez, 2017. "The role of regional economic specialization in the production of university-owned patents," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(2), pages 513-533, September.

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    More about this item

    Keywords

    Technology transfer; patent citation analysis; biotechnology industry;
    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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