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Factors of innovative activity in Russian regions: modeling and empirical analysis

Author

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  • Oleg Mariyev

    ()

  • Ivan Savin

    ()

Abstract

Considering innovations as a key factor of economic growth, in this paper we identify main instruments stimulating innovative activity in Russian regions. Since the number of potential factors of enterprises innovative activity and respective hypotheses is large, the process of model selection becomes a crucial part of the empirical implementation. A new efficient solution to this problem is suggested, applying optimization heuristics. The model selection is based on information criteria and the Sargan test within the framework of a log-linear panel data model.

Suggested Citation

  • Oleg Mariyev & Ivan Savin, 2010. "Factors of innovative activity in Russian regions: modeling and empirical analysis," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 235-244.
  • Handle: RePEc:ura:ecregj:v:1:y:2010:i:3:p:235-244
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    Citations

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    Cited by:

    1. Egor Leonidovich Domnich, 2018. "About Innovative Component of Input and Output in Russian Industry," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 1, pages 170-182.
    2. Luigi Aldieri & Maxim Nikolaevich Kotsemir & Concetto Paolo Vinci, 2018. "Knowledge spillover effects: empirical evidence from Russian regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2111-2132, September.
    3. Oleg S. Mariev & Karina M. Nagieva & Viktoria L. Simonova, 2020. "Managing innovation activity factors in Russian regions through econometric modeling," Upravlenets, Ural State University of Economics, vol. 11(1), pages 57-69, March.

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