Abstract
The main indicator of socio-economic development of the region is still the gross regional product. It is most susceptible to changes in the methodological indicator. The relevance research of influence of factors on the dynamics of GRP is caused by the need for their systematic analysis. The purpose of this work is to determine the degree of influence of factors on the growth of GRP and identify the strengths and weaknesses of the economic development regions. To achieve this goal, four main factors were previously identified: agglomeration, labor, capital and infrastructure, and for eight synthetic indicators that characterize them, their integral values were calculated, which, along with the GRP per capita indicator, were used in the classification of regions by the level of economic development based on cluster analysis. In accordance with the developed classification, coefficients of regression equations are calculated for each group of regions, in which the effective indicator is GRP per capita, and integral indicators of factors are used as explanatory indicators. In conclusion, based on the obtained regression equations, the factors that have the greatest impact on the GRP per capita are determined, and the features of economic development of the regions of the Russian Federation are revealed.
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