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Diagnostics of Siberian Innovation Development

Author

Listed:
  • Kaneva
  • M.A.( mkaneva@ieie.nsc.ru)
  • G.A. Untura (untura@ieie.nsc.ru)

Abstract

The paper considers methodological aspects of diagnosing the regional innovation development, and illustrates such aspects by the results obtained by the factor, regression and cluster analysis of the innovation development indicators. This allowed identifying the innovation profiles of Russia and the Siberian Federal District in 2007 and 2010. We show how the sets of factors and indicators which statistically explain the innovation development in the country and Siberia in different years differ from each other. By a cluster analysis we identify three groups of the Siberian regions which have similar innovation profiles, and we also build the GRP regressions on innovation indicators for the SFD regions.

Suggested Citation

  • Kaneva & M.A.( mkaneva@ieie.nsc.ru) & G.A. Untura (untura@ieie.nsc.ru), 2013. "Diagnostics of Siberian Innovation Development," Journal "Region: Economics and Sociology", Institute of Economics and Industrial Engineering of Siberian Branch of RAS, vol. 2.
    • Handle: RePEc:nos:regioe:2013-2_11
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    Citations

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    Cited by:

    1. Erling Barth & James C. Davis & Richard B. Freeman & Andrew J. Wang, 2018. "The Effects of Scientists and Engineers on Productivity and Earnings at the Establishment Where They Work," NBER Chapters, in: US Engineering in a Global Economy, pages 167-191, National Bureau of Economic Research, Inc.
    2. Sun, Jiazhe & Wu, Shunan & Yang, Kaizhong, 2018. "An ecosystemic framework for business sustainability," Business Horizons, Elsevier, vol. 61(1), pages 59-72.
    3. Andrey Nechaev & Oksana Antipina, 2016. "Analysis of the Impact of Taxation of Business Entities on the Innovative Development of the Country," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 71-83.

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