Study of territorial organization phenomena and corresponding socio-economic changes is fulfilled for Siberian and northern regions of Russia. This task is solved using an indication function which allows to model associations of economic-geographical, economic and socio-demographic features and conditions [Myadzelets, 2009]. In the result the territorial organization is considered as a leading factor of geographical space transformation and, consequently, the regional development, economic growth, social situation changes and increase of life quality indices.
Socio-economic statistic data from 2000 to 2015 are analyzed by methods of regression analysis, mathematical and geoinformatic modeling, and other statistic tools on the base of the indication model. The model is an assessment indication function which correlates socio-economic characteristics (indicators) by coefficients which is accelerators of regional economic development. For the analysis statistic data of investment, volume of industrial and agricultural production, life expectancy, income rate, crime rate, remoteness, road network density, and some others are proposed as particular socio-economic indicators. The integral indices are territorial peripherality, investment efficiency of regional economics, and life quality index showing social attractiveness.
It is established that northern communities have a lot of similarities with arctic communities in economic development in spite of more southern position, but they have some specific characters connected with their history and limited transport accessibility. Typization of macroregions revealed significant difference between Western and Eastern Siberia and reasons of system lag in development of Eastern Siberian regions.
Quantitative evaluation of temporal and spatial heterogeneity of the investment processes is made, and all regions are classified according an interregional similarity or difference criterion. Regional investment efficiency is calculated; territories with different investment efficiency rate are determined. The regions of near, middle and distant periphery are established for Siberia and Russian North using the spatial peripherality index. Regional social distinctions are emphasized on the base of assessment of the integral life quality index, and connection of economic development with life quality changes is shown.
Spatial-temporal variations of the integral indices are calculated by the indication model and mapped using GIS methods. A questionnaire on subjective analysis of the life quality and economic development is worked out for clarifying of the model results. Preliminary maps of regional disparity, investment efficiency, life quality changing and peripherality degree are made.
Myadzelets A.V. Modeling of the Socio-Economic Potential of the Siberian Regions with Consideration for their Economic-Geographical Position in the National Economic System of the Russian Federation // Math. Model. Nat. Phenom. Vol. 4, No. 5, 2009, pp. 158-175.
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