STATISTICAL ANALYSIS OF RURAL POVERTY FACTORS IN THE RUSSIAN FEDERATION

Abstract

The article presents the results of a correlation analysis of the ratio and dynamics of poverty in the constituent entities of the Russian Federation. The methodological foundations of the study are presented as a review of Russian and foreign studies of the ratio and reasons of poverty. We proposed the classification of the Russian constituent entities by the ratio of urbanization and conducted the two-dimensional grouping of constituent entities with an average ratio of urbanization by the ratio of poverty in 2019. The results of this study confirm the spread of poverty in rural areas and a high level of differentiation of constituent entities by poverty indicators.
 Multiple correlation analysis allowed us to estimated models of multiple regressions and identifies significant independent variables of the ratio and dynamics of poverty in constituent entities with an average ratio of urbanization. It is concluded that the poverty ratio is lower in those constituent entities where tourism, manufacturing, animal husbandry, individual entrepreneurship, higher education and postgraduate studies are better developed. But poverty reduction is more successful in those constituent entities where trade, transport and warehousing logistics are developing.
 In general, the study confirms the need to take into consideration specific regional features of the development of Russian constituent entities in the fight against poverty, the use of a targeted integrated approach in the selection of measures to reduce poverty.