Labour demand in the wake of a shock: A dose–response approach

IF 2.4 3区 经济学 Q2 ECONOMICS
Fernanda Gutiérrez Amaros , Andrea Ascani , Alessandra Faggian , Wessel N. Vermeulen
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引用次数: 0

Abstract

This paper examines the impact of varying COVID-19 exposure levels on local labour demand in Italy during the first years of the pandemic. Using a dose–response framework and province-level monthly data on online job postings (NUTS3), we find a predominantly non-linear, negative relationship between COVID-19 exposure — measured by the contagion rate — and labour demand growth. However, at high exposure levels, a positive effect emerges, driven by increased demand for essential roles in Northern Italy. Our findings reveal significant regional disparities. Southern provinces experienced sharper declines in labour demand, despite lower exposure levels, reflecting their weaker economic structures and reliance on non-essential jobs. Conversely, Northern provinces with high exposure levels sustained a higher ratio of essential-to-non-essential vacancies, demonstrating greater economic resilience during the crisis. This study contributes to the literature by examining the underexplored effects of COVID-19 on labour demand in a European context, positioning Italy as a critical case study. It emphasises the pivotal role of essential jobs in mitigating economic disruption and highlights the Italian labour market’s non-linear responses to shocks and regional inequalities, offering insights into how sudden crises shape labour dynamics.
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来源期刊
CiteScore
4.40
自引率
4.80%
发文量
58
期刊介绍: Regional Science is the official journal of the Regional Science Association International. It encourages high quality scholarship on a broad range of topics in the field of regional science. These topics include, but are not limited to, behavioral modeling of location, transportation, and migration decisions, land use and urban development, interindustry analysis, environmental and ecological analysis, resource management, urban and regional policy analysis, geographical information systems, and spatial statistics. The journal publishes papers that make a new contribution to the theory, methods and models related to urban and regional (or spatial) matters.
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