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Informal Employment in Russia: the Influence and Lessons of the Pandemic

Authors: Kubishin, E.S.;

Informal Employment in Russia: the Influence and Lessons of the Pandemic

Abstract

The article reviews the impact made by the COVID-19 novel coronavirus pandemic on informal employment in Russia, where this category comprises a significant segment within the national market for labour. A study is made of the ambivalence in the interpretations of informal employment, an ambivalence that creates difficulties for reaching a quantitative assessment of this phenomenon. As is noted, informal employment has a contradictory dynamic, affected by the influence of the pandemic and by the unevenness of the distribution of this employment about the country’s territory. In analysing the reasons for this dynamic, the author singles out both stable and enduring factors linked to the peculiarities of the development of labour relations in Russia, and also factors conditioned by the specific nature of the pandemic crisis. The latter include the lockdown and restriction of economic activity, as well as the measures taken by the state to support business and employment. From a preliminary evaluation of the influence of COVID-19 on the Russian labour market, it may be concluded that the impact of the pandemic on the sphere of labour relations has been ambiguous. On the one hand, this impact may permit a “whitewashing” of the employment picture, while on the other, it may lead to an increase in the flexibility of employment and to its continued deformalisation. The outcome will depend both on the government’s social policy, and also on the joint efforts of social partners.

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Keywords

labor market, informal employment, labor relations, COVID-19 pandemic, labor migration

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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