Introduction: improving the population living standard is one of the main tasks facing public authorities in the Russian Federation. At the same time, this concept itself is interpreted ambiguously, which makes quantitative assessment difficult. Forecasting its change is even more difficult, since there is an influence of many heterogeneous factors. However, it is impossible to make effective decisions in the sphere of territorial socio-economic development without a scientifically substantiated forecast. Objectives: building scenario forecast of the integrated assessment of living standards in the constituent entities of the Russian Federation for the medium term, using formalised methods. Methods: grouping and indicators dynamics analysis are used for an integral assessment of the quality of life, correlation analysis used in determining the indicators weights. Economic and mathematical modelling, trend analysis, scenario modelling are used within the framework of the forecast formation. The information base was formed by the data presented in the publications of the Federal State Statistics Service of Russia. Results: the authors developed an approach to the assessment and forecasting of living standards in the regions of the Russian Federation, with the use of a twostage convolution procedure, considering the weight characteristics of elements and allowing to build a medium-term scenario forecast considering the retrospective dynamics of private indicators. The differences between the scenarios were determined by the level of indicators growth rates differentiation in the regions of the country. Based on the forecast of private indicators changes, the changes in the population living standards in the Russian regions were assessed. The corresponding rating of the regions was formed, which is characterized by a comprehensive consideration of heterogeneous factors. Conclusions: it has been shown that differentiation level of Russian regions is not decreasing. A closed spiral is formed, within which each of the problems of socio-economic development aggravates the other. The contradictory development of regions has been identified: being leaders in some areas, they can at the same time be significantly inferior in others. The result of the study allows to identify regions interested in the implementing a particular scenario, as well as to quantitatively show the effects to be obtained in the case of each scenario implementation.
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