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Subject. Sustainable development of Russian regions. Basic parameters of sustainable development of Russian regions in three spheres: economic, social, and environmental. Objectives. To determine the regions with similar social, economic, and environmental parameters reflecting their level of sustainability and to group them into virtual clusters. To develop a methodological approach to the analysis of the basic parameters of sustainable development of leading Russian regions and to determine the points of stabilisation and destabilisation for these regions. Research methods. Dialectical method, monographic method, comparative analysis, structuring of an array of information - virtual clustering method. Using the dialectical and monographic methods to assess the sustainability of Russian regions, we justified the use of 10 parameters characterising the economic, social, and environmental subsystems of Russian regions. The information array included data about 82 regions for the period between 2017 and 2021. In the study, we calculated the average values of sustainability indicators for each region over the said time period. The regions were grouped using the k-means algorithm and the Statistica software. The degree of sustainability of clusters was assessed based on the sum of mean normalised values of the analysed parameters. A comparison of the mean normalised values obtained for each cluster with mean values for each cluster and each parameter allowed us to determine the points of stabilisation and destabilisation for the leading clusters. Results and discussion. By dividing the regions into groups, we managed to form six homogeneous clusters with a high degree of reliability. They differ in their structural composition of the studied parameters reflecting the level of development of social and economic subsystems of the regions comprising the clusters. The sustainability of clusters was assessed based on the sums of normalised values of the analysed parameters. The leading clusters are A and B. They are far ahead of the medium cluster C. Clusters D, E, and F form a group of outsiders. Economic, social, and environmental parameters were used to determine the points of stabilisation and destabilisation for the leading clusters.
Subject. Sustainable development of Russian regions. Basic parameters of sustainable development of Russian regions in three spheres: economic, social, and environmental. Objectives. To determine the regions with similar social, economic, and environmental parameters reflecting their level of sustainability and to group them into virtual clusters. To develop a methodological approach to the analysis of the basic parameters of sustainable development of leading Russian regions and to determine the points of stabilisation and destabilisation for these regions. Research methods. Dialectical method, monographic method, comparative analysis, structuring of an array of information - virtual clustering method. Using the dialectical and monographic methods to assess the sustainability of Russian regions, we justified the use of 10 parameters characterising the economic, social, and environmental subsystems of Russian regions. The information array included data about 82 regions for the period between 2017 and 2021. In the study, we calculated the average values of sustainability indicators for each region over the said time period. The regions were grouped using the k-means algorithm and the Statistica software. The degree of sustainability of clusters was assessed based on the sum of mean normalised values of the analysed parameters. A comparison of the mean normalised values obtained for each cluster with mean values for each cluster and each parameter allowed us to determine the points of stabilisation and destabilisation for the leading clusters. Results and discussion. By dividing the regions into groups, we managed to form six homogeneous clusters with a high degree of reliability. They differ in their structural composition of the studied parameters reflecting the level of development of social and economic subsystems of the regions comprising the clusters. The sustainability of clusters was assessed based on the sums of normalised values of the analysed parameters. The leading clusters are A and B. They are far ahead of the medium cluster C. Clusters D, E, and F form a group of outsiders. Economic, social, and environmental parameters were used to determine the points of stabilisation and destabilisation for the leading clusters.
Subject. The article addresses the institutional environment of innovative development of the Kaliningrad Oblast. Objectives. The aim is to identify basic parameters of institutional environment of the Kaliningrad Oblast as a model region, representing a virtual cluster of administrative-territorial entities of the Russian Federation with low level of innovative development. Methods. The study employs methods of economic-statistical, cluster and logical analysis of basic parameters of the institutional environment of regions in the context of their innovative development. Results. The paper presents results of logical interpretation of economic and statistical (cluster, correlation and regression) analysis of the state and dynamics of basic parameters of model region’s institutional environment, representing a virtual group of administrative-territorial entities of the country, characterized by low level of innovation activity. Conclusions. The results of innovative activities of the region, estimated by the share of innovative goods, works, services in their total volume during 2010–2022, demonstrate formally unstable growth. However, fluctuations in values between 0.1 and 1 per cent actually mean consistently low values. The state of institutional environment of the region does not contribute to its innovative development due to low values of propensity for innovation and consumption, unstable dynamics of propensity to consume and to materialize assets.
Subject. The article addresses the infrastructure of information and communication support of the knowledge economy at the macro level. Objectives. The study focuses on identification of trends and prospects for the development of the element base of the infrastructure of information and communication support to create Russia’s knowledge economy at the macro level. Methods. We employ methods of statistical, correlation-regression and logical analysis of basic parameters of the infrastructure of information and communication support of the knowledge economy at the macro level. Results. The paper presents results of statistical analysis of trends in basic parameters of Russia’s information and communication infrastructure at the macro level for 2010–2021. We calculated forecast scenarios of these parameters for the medium-term period (until 2026). Conclusions. The statistical analysis enabled to detect contradictory trends during 2010–2021 and suggest options for forecasting their values over the medium term (until 2026). The study defines positive trends and favorable forecast scenarios for availability of cellular communication among the population, broadband Internet access, local telephone network digitalization. Negative trends and unfavorable forecast are identified for the use of fixed telephony, digital terrestrial television and cable television programs. Problematic is the situation of high variability of the forecast in terms of dynamics of several analyzed indicators.
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