Abstract

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.

Highlights

  • Interregional differences of the labor market are a feature of the economy of most countries of the world, irrespective of the level of their development or polity

  • Estimating the regression equations for Russia as a whole (Model 1), we see that the rate of rural unemployment positively correlates with such parameters like the share of rural population below the working age, average job search time and the number of rural population without basic general education per 1000 people. This means that when the values of these parameters increase, the rural unemployment rate is on the rise. Such parameters as gross regional product per capita and the share of the employed in agriculture and forestry, hunting and fishing are with the negative sign in the model, meaning that the rate of rural unemployment reduces when the values of these parameters grow

  • The estimation of the models of regression equations made for 81 regions of Russia, united into four typological groups, allowed identifying the factors affecting the growth and reduction of rural unemployment

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Summary

Introduction

Interregional differences of the labor market are a feature of the economy of most countries of the world, irrespective of the level of their development or polity. The factors of national economy are dominant in explaining the agricultural labor market’s behavior, a considerable part of regional differences cannot be explained on the national level. Interregional differences of the labor market in terms of unemployment are addressed by many authors [2]-[4]. Some of them are interested in the geographical distribution of the unemployment rate [5] [6], while others analyze the stability of interregional differences in terms of unemployment [1]. The factors of geographical distribution of regions on the agricultural labor market remain the least studied

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