Dynamics and Regional Features of Labour Market Recovery During COVID-19

IF 5.6 2区 经济学 Q1 DEVELOPMENT STUDIES Cambridge Journal of Regions Economy and Society Pub Date : 2023-01-01 DOI:10.17059/ekon.reg.2023-1-7
A. V. Topilin, O. D. Vorobyova
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Abstract

The imbalance between labour supply and demand, both by types of economic activity and by professional groups, differs in Russian regional labour markets, causing long-term unemployment and im-poverishment of the population. The article examines the transformation of the labour market, regional characteristics of market failures and its recovery during the COVID-19 pandemic. Based on sample surveys of the labour force conducted by the Federal State Statistics Service, we determined monthly unemploy-ment dynamics and, subsequently, the vulnerability and instability of regional labour markets. It is hypoth-esised that the stronger the contraction of employment and the greater the unemployment, the longer the process of labour market recovery during the pandemic; regions recover from the crisis at different speeds. Indicators of the intensity of labour market failures and its recovery are proposed. Since the pandemic is a peculiar phenomenon that affected the economy and society, human behaviour in the labour market, the concept of excessive unemployment was used (the difference between actual unemployment and its pre-pandemic level). We performed a correlation analysis of the relations between labour market failures and its recovery in four groups of regions characterised by different labour market fluctuations. The cal-culated Spearman’s coefficients showed a positive relationship between the indicators. The depth of la-bour market failures and its recovery rate in regions with developed infrastructure, attracting labour mi-grants, are revealed. A positive relationship was established between the unemployment dynamics and the increase in vacancy rate reported by employers to employment agencies, increase in the average monthly salary. This article presents the results of the first research stage. Further studies will expand the time se-ries of employment and unemployment in order to identify long-term trends and build a forecasting model.
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2019冠状病毒病期间劳动力市场复苏的动态和区域特征
按经济活动类型和按专业群体划分的劳动力供求不平衡在俄罗斯各区域劳动力市场各不相同,造成长期失业和人口贫困。本文考察了2019冠状病毒病大流行期间劳动力市场的转变、市场失灵的区域特征及其复苏。根据联邦国家统计局对劳动力进行的抽样调查,我们确定了每月的失业动态,并随后确定了区域劳动力市场的脆弱性和不稳定性。假设就业萎缩越严重,失业率越高,大流行期间劳动力市场复苏的过程就越长;不同地区从危机中复苏的速度不同。提出了劳动力市场失灵及其复苏强度的指标。由于大流行病是一种特殊现象,影响到经济和社会以及劳动力市场中的人类行为,因此使用了过度失业的概念(实际失业率与大流行病前水平之间的差距)。我们对以不同劳动力市场波动为特征的四组地区的劳动力市场失灵与复苏之间的关系进行了相关分析。计算得到的Spearman系数表明,各指标之间存在正相关关系。报告揭示了基础设施发达地区劳动力市场失灵的深度及其恢复速度,这些地区吸引了劳动力移民。失业动态与雇主向职业介绍所报告的空缺率增加、平均月薪增加之间存在正相关关系。本文介绍了第一阶段的研究成果。进一步的研究将扩大就业和失业的时间序列,以确定长期趋势并建立预测模型。
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CiteScore
7.90
自引率
4.50%
发文量
40
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