The purpose of the study is to conduct a statistical analysis and to perform a quantitative assessment of the degree and the dynamics of the interregional differences in youth unemployment in Russia between 2005 and 2013. We decompose the interregional differentiation into “within-group” and “between-group” differences. We also analyse the dynamics of the within-group and between-group differences and estimate their contribution to changes in the interregional differentiation of youth unemployment. Additionally, we estimate the degree and the dynamics of the interregional differences of the youth labour market in Russia in times of crisis and recovery growth. The results show a reduction in the interregional differences in unemployment rates between 2005 and 2008, while in 2009–2013, the interregional differentiation of the labour market increased. We found that the socio-economic effects of youth unemployment, as well as the behavioural response to economic shocks in the age groups of 15–19 and 20–29 years were significantly different.
This study involves an econometric assessment of the impact that macroeconomic, institutional, structural, demographic and social variables produce on the rate of and interregional differences in rural unemployment. We classify the regions of Russia by the rate of overall and rural unemployment and characterize the groups of regions we have selected according to key parameters of the labor market and features of regional development. Employing a regression analysis, this paper focuses on the factors of regional unemployment in the subjects of Russian Federation. When making our regression models, stepwise regression methods were used. Evaluating the regression models that include demographic, economic and social factors, we identify the determinants of rural unemployment. The regression analysis was carried out for both the Russian Federation as a whole and each of the typological groups individually. We find that such factors like a big share of young people in the structure of the rural population and a low level of education of rural residents do contribute to the growth of rural unemployment. At the same time, higher employment, diversification of the rural economy through promoting non-agricultural employment, and higher levels of vocational education among rural residents cause the rate of rural unemployment to fall.
Abstract. Among the priorities it is important to highlight the modernization and improvement of energy efficiency of housing and communal services, as well as the transition to the principle of using the most efficient technologies used in reproduction (construction, creation) of objects of municipal infrastructure and housing modernization. The main hypothesis of this study lies in the fact that in modern conditions the realization of the most important priorities of the state policy in the sphere of housing and communal services, is possible in the conditions of use of the most effective control technologies for the reproduction of thermal networks. It is possible to raise the level of information security Heat Distribution Company, and other market participants by improving business processes through the development of organizational and economic mechanism in the conditions of complex monitoring of heat network operation processes
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