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The Methodology for Multivariate Statistical Analysis of Innovation Potentials: The Case of Russia

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Frontier Information Technology and Systems Research in Cooperative Economics

Abstract

The paper analyzes the leading indicators characterizing the development of innovation in the Russian regions. We formed a system of indicators that characterizes the innovative regional potential in terms of conditions determining the possibilities for the development of innovative activity, scientific and technical potential, and the results of innovative activity. The aggregated components of the integral index of the innovative regional potential were calculated based on the data array obtained from open sources. According to the values of the obtained enlarged components, particular attention is paid to the characteristics of leading regions and lagging regions. Based on these components, the integral index of innovative potential was calculated. This index provides a rating of Russian subjects. Based on the value of the generalized component and the value of the component reflecting the results of innovation, the entire set of regions was divided into four groups depending on the effectiveness of implementing socio-economic and scientific-technical potential. The regions were divided into two groups for each component—with component values above and below the median values. The results of analyzing the ratings of individual regions, as well as changes in the composition of groups of regions, may be the basis for the development of differentiated measures to support and stimulate innovative activities. The results can also help to monitor and control the implementation of innovative regional development programs.

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Correspondence to Ekaterina A. Dolgikh .

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Efimova, M.R., Dolgikh, E.A., Pershina, T.A., Parshintseva, L.S. (2021). The Methodology for Multivariate Statistical Analysis of Innovation Potentials: The Case of Russia. In: Bogoviz, A.V., Suglobov, A.E., Maloletko, A.N., Kaurova, O.V., Lobova, S.V. (eds) Frontier Information Technology and Systems Research in Cooperative Economics. Studies in Systems, Decision and Control, vol 316. Springer, Cham. https://doi.org/10.1007/978-3-030-57831-2_25

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