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A Pooled Overview of the European National Innovation Systems Through the Lenses of the Community Innovation Survey

Author

Listed:
  • Elena Makrevska Disoska

    (Ss. Cyril and Methodius University in Skopje)

  • Katerina Toshevska-Trpchevska

    (Ss. Cyril and Methodius University in Skopje)

  • Dragan Tevdovski

    (Ss. Cyril and Methodius University in Skopje)

  • Petar Jolakoski

    (Macedonian Academy of Sciences and Arts, Research Center for Computer Science and Information Technologies)

  • Viktor Stojkoski

    (Ss. Cyril and Methodius University in Skopje)

Abstract

In this paper, we perform a detailed pooled cross-sectional analysis on the innovation performance in nine European countries by using data stemming from the Community Innovation Survey. The temporal dimension of our dataset includes three waves of CIS surveys from 2008 until 2014. As such, it allows us to evaluate the changes in the innovation processes within the countries in a more profound way. Our findings suggest that there are no significant differences among the countries regarding the firms’ determinants to enter the innovation process. However, the effect of innovation output over labor productivity varies among economies: there is a positive relationship in the more developed economies compared to a negative or neutral relationship in the less developed. We use these results to speculate that the national innovation system in developing economies becomes more vulnerable in periods of the financial crisis.

Suggested Citation

  • Elena Makrevska Disoska & Katerina Toshevska-Trpchevska & Dragan Tevdovski & Petar Jolakoski & Viktor Stojkoski, 2024. "A Pooled Overview of the European National Innovation Systems Through the Lenses of the Community Innovation Survey," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3660-3684, March.
    • Handle: RePEc:spr:jknowl:v:15:y:2024:i:1:d:10.1007_s13132-023-01173-4
    DOI: 10.1007/s13132-023-01173-4
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    References listed on IDEAS

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    More about this item

    Keywords

    CIS; European countries; National innovation systems; Pooled cross-sectional studies; Labor productivity;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • 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

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