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To the question about parameterization of national innovation system


  • Aivazian, Sergei

    (Central Economics and Mathematics Institute of the Russian Academy of Sciences, Russia, Moscow)

  • Afanasiev, Mikhail

    (Central Economics and Mathematics Institute of the Russian Academy of Sciences, Russia, Moscow)

  • Kudrov, Alexander

    (Central Economics and Mathematics Institute of the Russian Academy of Sciences, Russia, Moscow;)

  • Lysenkova, Maria

    (Central Economics and Mathematics Institute of the Russian Academy of Sciences, Russia, Moscow;)


The objective of the study is to obtain quantitative characteristics of the influence of science and business on the results of innovation activity of regions of the Russian Federation. Patents, international patent applications and new manufacturing technologies are considered as results of innovation activity. The dependence between the results of innovative activity in the region and the number of potential links between research organizations and business companies is found. The possibility of using the obtained parametric description of national and regional innovation systems for cross-country comparisons is justified.

Suggested Citation

  • Aivazian, Sergei & Afanasiev, Mikhail & Kudrov, Alexander & Lysenkova, Maria, 2017. "To the question about parameterization of national innovation system," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 29-49.
  • Handle: RePEc:ris:apltrx:0309

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    References listed on IDEAS

    1. John Butler & David Gibson, 2013. "Research Universities in the Framework of Regional Innovation Ecosystem: The Case of Austin, Texas," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 7(2), pages 42-57.
    2. Denis Ivanov & Mikhail Kuzyk & Yury Simachev, 2012. "Fostering Innovation Performance of Russian Manufacturing Enterprises: New Opportunities and Limitations," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 6(2), pages 18-42.
    3. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
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    More about this item


    regional economy; econometric modeling; hypothesis testing; stochastic frontier; efficiency assessment.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods


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