Open AccessASSESSMENT OF THE IMPACT OF INCOME INEQUALITY ON ECONOMIC GROWTH IN RUSSIAN REGIONS
Author(s) -
Rogneda Vasilyeva,
Oleg Mariev,
Elena Ignatieva,
Alla Serkova
Publication year - 2021
Publication title -
proceedings of cbu in economics and business ...
Language(s) - English
Resource type - Journals
eISSN - 2695-0707
pISSN - 2695-0693
DOI - 10.12955/peb.v2.261
Subject(s) - gini coefficient , economics , economic inequality , per capita income , inequality , distribution (mathematics) , income distribution , per capita , demographic economics , investment (military) , population , development economics , economic geography , economic growth , demography , mathematical analysis , mathematics , sociology , politics , political science , law
Inequality in the distribution of income of the population has a certain impact on different aspects of the economic and socio-cultural development of countries and regions. This inequality arises due to a number of factors as the current nature of the production specialization, the availability of production and economic infrastructure, the achieved level of development of the social sphere, socio-cultural, demographic, and other factors. The main objective of this study is to assess the nature and extent of the impact of income inequality in the Russian regions for the subsequent justification of the directions of socio-economic development. We conducted an econometric analysis of the impact of intraregional income inequality (the Gini coefficient), fixed capital investment per capita, and average per capita consumer spending on one of the main indicators of regional economic growth (GRP) per capita was carried out. The model is based on panel data for the period 2012-2018 for 85 regions of the Russian Federation. The results of the study confirm two of three hypotheses. As prospects for further research, it is proposed to consider the impact of inequality in the distribution of household income on economic growth for different groups of regions, including resource-type regions and regions with a predominance of manufacturing industries, as well as for leading regions and regions with a relatively low level of socio-economic development.