Labor Markets of Russian Regions During the Corona Crisis: Features of Regional Adaptation

E. Varshavskaya, U. Podverbnykh
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Abstract

The purpose of the article is to analyze the impact of the COVID-19 pandemic on the labor markets of Russian regions in 2020 and to identify the main factors that determined regional differentiation. The empirical basis of the analysis is the data of Federal State Statistics Service (Labor Force Survey) and Federal Service for Labor and Employment. We analyze the dynamics of employment rate, general and registered unemployment rates, and changes in the proportion of employees who are absent from work for economic reasons. Data analysis was performed using descriptive, cluster and regression methods.It was revealed that the adaptation of the labor markets of Russian regions to the negative consequences of the pandemic had a regionally differentiated character. Five groups of regions have been identified according to the specific features of adaptation to the corona crisis. The dynamics of employment and unemployment was determined by the level of socio-economic development of the region, primarily by the state of its labor market and the level of poverty of the population. Regression estimates showed that the higher the general unemployment rate in the region in 2019 and the share of the population with incomes below the subsistence level were, the greater the decline in employment rate and the growth of general unemployment in 2020 were. The dynamics of registered unemployment rate in 2020 was determined by the share of the population with incomes below the subsistence level, the share of workers in the informal sector and the share of youth in the labor market. This connection is due to the fact that the unemployment benefit in 2020 primarily performed the function of social support for the population with a low level of individual and family incomes.It is shown that the Russian regions, whose labor markets had high employment rates and low unemployment rates, went through the crisis of 2020 retaining their advantages and quickly reached the pre-pandemic state. Regions with a tense situation in labor markets, having experienced a noticeable decline in employment and a significant increase in unemployment in 2020, are recovering from the crisis slowly. The consequence of such dynamics may be an even greater strengthening of regional differentiation.
冠状病毒危机期间俄罗斯地区劳动力市场:区域适应特征
本文的目的是分析2019冠状病毒病大流行对2020年俄罗斯各地区劳动力市场的影响,并确定决定区域差异的主要因素。分析的实证依据是联邦国家统计局(劳动力调查)和联邦劳动和就业部的数据。我们分析了就业率、一般失业率和登记失业率的动态变化,以及因经济原因缺勤的员工比例的变化。数据分析采用描述性、聚类和回归方法。据透露,俄罗斯各地区劳动力市场对大流行病负面影响的适应具有区域差异的特点。根据适应冠状病毒危机的具体特点,确定了五组区域。就业和失业的动态是由该区域的社会经济发展水平决定的,主要是由其劳动力市场的状况和人口的贫穷程度决定的。回归估计表明,该地区2019年一般失业率越高,收入低于温饱水平的人口比例越高,2020年就业率下降幅度越大,一般失业率增长幅度越大。2020年登记失业率的动态取决于收入低于维持生计水平的人口比例、非正规部门工人的比例和劳动力市场中青年的比例。这种联系是由于2020年的失业救济金主要是为个人和家庭收入水平较低的人口提供社会支持的功能。结果表明,劳动力市场就业率高、失业率低的俄罗斯地区,在经历了2020年的危机后,保持了自身的优势,并迅速恢复到大流行前的状态。劳动力市场形势紧张的地区,在2020年经历了就业明显下降和失业率大幅上升,正在缓慢地从危机中复苏。这种动态的后果可能是更大程度地加强区域差异。
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