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About Innovative Component of Input and Output in Russian Industry


  • Egor Leonidovich Domnich

    () (Economic Research Institute FEB RAS)


The value indicators of technological innovation at Russian enterprises, developed on the basis of the Oslo Manual, have been monitored for several decades. At the same time, it has not yet been possible to develop a common understanding of what processes and phenomena they measure, what is the error of such measurements and what meaningful conclusions can be formulated on the basis of these measurements. The article discusses the prevailing methodological approaches devoted to Russia’s industry innovative activity estimation. We also substantiate an alternative approach towards Russia’s industry innovative activity estimation, based on the comparison of «Information on innovative activity of organization» and ‘Information on financial condition of organization’ statistical forms. Due to that approach we highlight the periods of crisis, recovery and stagnation of the innovation sector development during 2006–2016. Also, we recalculate input and output technological innovations indicators in constant prices. Next, we estimates economic weight of the innovative component in the country’s industry, based on value indicators. The comparative characteristic of Russia’s industry innovative development within crisis, recovery and stagnation periods is given

Suggested Citation

  • 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.
  • Handle: RePEc:far:spaeco:y:2018:i:1:p:170-182
    DOI: 10.14530/se.2018.1.170-182

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    References listed on IDEAS

    1. 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.
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    More about this item


    technological innovations; statistics of innovations; economic analysis; Russia’s regions;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives


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