Suchergebnisse

Our research addresses regional competitiveness as the function of innovation activity. We use 15 indicators to cluster the Russian regions in five different groups, and to propose and to estimate the composite competitiveness quotient of a region in order to further regress it by innovation activity indicators. We prove that different groups of regions - "potential competitiveness leaders", "traditional competitiveness factor employers", "competitiveness outsiders", "moderate competitiveness regions", "competitiveness leaders" - are prone to respond to innovation parameters change in a different manner, thus uniform regulation and strategies are irrelevant. We contribute to the methodology of regional competitiveness estimation by presenting a ready-to-deploy set of data structures and model propositions. Our measure of competitiveness is economy related and easily adjustable regarding the specific innovation phenomena that influence the corporate and aggregate performance, value or efficiency of regions.

The work resulted in an analysis of the social situation in the Russian Federation in 2020. The object of the study was the population of the Russian Federation. In the course of the work, an assessment of the socio-economic situation of the population was carried out on the basis of a wide statistical spectrum of indicators affecting income and material situation of the population, the labor market, retail trade, consumer prices, etc. The basis for achieving the result was provided by continuous monitoring, covering operational statistical observation data. The estimates obtained are based on the results of monitoring carried out by the Institute for Social Analysis and Forecasting of the RANEPA since 2015.