For citation:
Solodkaya Т. I., Novoselova M. A. Econometric Analysis of Educational System Influence on Innovative Development of Regions of the Russian Federation. Journal Izvestiya of Saratov University. Economics. Management. Law, 2017, vol. 17, iss. 3, pp. 304-310. DOI: 10.18500/1994-2540-2017-17-3-304-310
Econometric Analysis of Educational System Influence on Innovative Development of Regions of the Russian Federation
Introduction. In conditions when the leading world economies are experiencing a transition from a two-century economic model based on resources and capital to an economic model based on technologies and knowledge, the level of innovation development becomes the determi ning factor for the country’s economy, one of the leading factors of which is the effectiveness of the educational system as The country as a whole, and its regions. Theoretical analysis. Traditionally, the research of Russian scientists uses the rating model of innovative development of regions, which allows for ranking regions, but does not have analytical and predictive capabilities. In contrast to the rating model, this article investigates the influence of factors characterizing the influence of the educational system on the indicators of innovative development of the regions. Еmpirical analysis. Econometric analysis of the influence of the characteristics of the educational system on the indicators of innovative development of the regions of the Russian Federation by the method of correlation-regression analysis was conducted, the indicators were normalized and aggregated into 8 groups, paired equations of regression of innovation development indicators were revealed and a statistical positive relationship between a number of indicators of innovative development of regions and the educational system was revealed. Results. It is shown that the complexity of the quantitative interpretation of the statistical connection between the phenomena “educational systems of the region - innovative development of the region” is associated with the objectively low overall level of innovation development in most regions in comparison with the leading regions, and the high degree of correlation of data for describing the educational system of Russian regions.
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