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Measuring the expected synergy in Spanish regional and national systems of innovation

Author

Listed:
  • Loet Leydesdorff

    (University of Amsterdam)

  • Igone Porto-Gomez

    (University of the Basque Country (EHU-UPV))

Abstract

This paper examines the effect of synergy at the geographical, technological, and organizational levels on the structure of the innovative system in Spain. Using a unique dataset of more than one million firms in 2010 across geographic regions in Spain, it empirically estimates the synergy within and across regions and sectors. The key findings indicate that Spain’s innovation system is largely decentralized into more regionalized systems with the strongest role played by the metropolitan areas. The results have policy implications for Spain as well as other nations and intra-country regions. The paper contributes to the extant literature related to innovation systems in three ways: first, by using a more novel approach adapting the triple helix context; second, by providing empirical evidence on the importance of synergy in influencing the structure of a national innovation system; and third, by providing a case study of Spain.

Suggested Citation

  • Loet Leydesdorff & Igone Porto-Gomez, 2019. "Measuring the expected synergy in Spanish regional and national systems of innovation," The Journal of Technology Transfer, Springer, vol. 44(1), pages 189-209, February.
  • Handle: RePEc:kap:jtecht:v:44:y:2019:i:1:d:10.1007_s10961-017-9618-4
    DOI: 10.1007/s10961-017-9618-4
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    References listed on IDEAS

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    Cited by:

    1. Petra Maresova & Ruzena Stemberkova & Oluwaseun Fadeyi, 2019. "Models, Processes, and Roles of Universities in Technology Transfer Management: A Systematic Review," Administrative Sciences, MDPI, vol. 9(3), pages 1-36, September.
    2. Mohammad Esmailzadeh & Siamak Noori & Alireza Aliahmadi & Hamidreza Nouralizadeh & Marcel Bogers, 2020. "A Functional Analysis of Technological Innovation Systems in Developing Countries: An Evaluation of Iran’s Photovoltaic Innovation System," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    3. Hernández-Trasobares, Alejandro & Murillo-Luna, Josefina L., 2020. "The effect of triple helix cooperation on business innovation: The case of Spain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    4. Arranz, Nieves & Arroyabe, Marta F. & Schumann, Martin, 2020. "The role of NPOs and international actors in the national innovation system: A network-based approach," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    5. Maruccia, Ylenia & Solazzo, Gianluca & Del Vecchio, Pasquale & Passiante, Giuseppina, 2020. "Evidence from Network Analysis application to Innovation Systems and Quintuple Helix," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

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    More about this item

    Keywords

    Region; Innovation; Synergy; Triple helix; Spain; Barcelona;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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