IDEAS home Printed from
   My bibliography  Save this article

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


  • Oleg Mariyev


  • Ivan Savin



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

    Download full text from publisher

    File URL:
    Download Restriction: no


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    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.


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ura:ecregj:v:1:y:2010:i:3:p:235-244. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alexey Naydenov). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.