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Knowledge flows, the influence of national R&D structure and the moderating role of public–private cooperation

Author

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  • Joaquín Azagra-Caro
  • Davide Consoli

Abstract

This paper analyses country-specific determinants of knowledge flows with a view to uncover the role of cross-organizational interactions. Using a sample of some 600,000 patents from the EU27 member states in the period 1990–2007, we take backward citations as dependent variable and find that technological sophistication and research size have a positive effect on knowledge flows. While a national bias towards applied research and development has a negative impact, individual public–private cooperation has a moderating effect due to the generation of scientific knowledge by public institutions. The present study contributes to the debate concerning the direction of R&D investments and provides empirical support to policies aimed at the enhancement of public–private cooperation. Copyright Springer Science+Business Media New York 2016

Suggested Citation

  • Joaquín Azagra-Caro & Davide Consoli, 2016. "Knowledge flows, the influence of national R&D structure and the moderating role of public–private cooperation," The Journal of Technology Transfer, Springer, vol. 41(1), pages 152-172, February.
    • Handle: RePEc:kap:jtecht:v:41:y:2016:i:1:p:152-172
    DOI: 10.1007/s10961-014-9382-7
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    Citations

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    Cited by:

    1. Joaquín M. Azagra-Caro & Laura González-Salmerón & Pedro Marques, 2021. "Fiction lagging behind or non-fiction defending the indefensible? University–industry (et al.) interaction in science fiction," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1889-1916, December.
    2. Joaquín M. Azagra-Caro & Elena M. Tur, 2018. "Examiner trust in applicants to the European Patent Office: country specificities," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1319-1348, December.
    3. Ana Beatriz Blanco-Ariza & Alexis Messino-Soza & Ángel Wilhelm Vázquez-García & Enrique Melamed-Varela, 2019. "Social Innovation in the Non-Profit Organization Framework: A Review," Social Sciences, MDPI, vol. 8(8), pages 1-14, August.
    4. 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.
    5. Leckel, Anja & Veilleux, Sophie & Dana, Leo Paul, 2020. "Local Open Innovation: A means for public policy to increase collaboration for innovation in SMEs," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    6. Meda Andrijauskiene & Daiva Dumciuviene & Jovita Vasauskaite, 2021. "Redeveloping the National Innovative Capacity Framework: European Union Perspective," Economies, MDPI, vol. 9(4), pages 1-30, December.

    More about this item

    Keywords

    Knowledge flows; National innovative capacity; Patents; Citations; O31; O33; O34;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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