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Navigating the precarious path

Understanding the dualisation of the Italian labour market through the lens of involuntary part-time employment

Bibliographic Data

ID12403299
AuthorsLiliana Cuccu (0000-0003-0374-9431, Universitat de Barcelona, corresponding author), Vicente Royuela (0000-0002-7647-0063, Universitat de Barcelona), Sergio Scicchitano (0000-0003-1015-7629, International Labour Organization)
Year2024
Volume103
Issue6
Pages100061-100061
Publication date2024-11-08
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePapers of the Regional Science Association (JOURNAL)
Journal identifiersISSN: 1056-8190 • E-ISSN: 1435-5957
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.pirs.2024.100061
OpenAlexW4404128515
LanguageEN
Citations received1
References cited33

This article investigates the surge in Involuntary Part-Time (IPT) employment in Italy from 2004 to 2019, exploring its impact on various socio-economic groups and adopting a spatial perspective. The study tests the hypothesis that technological shifts, specifically routine biased technological change (RBTC), and the expansion of household substitution services contribute to IPT growth. There is a widening negative gap in IPT prevalence among marginalized groups - women, young, and less skilled workers. After controlling for sector and occupation, the higher IPT propensity diminishes but remains significant, hinting at persistent discrimination. Additionally, segregation into more exposed occupations and sectors intensifies over time. Leveraging province-level indicators, and using a Partial Adjustment model, there is statistical support for RBTC’s correlation with IPT, especially among women. The impact of household substitution services is notably pronounced for women, highlighting sector segregation

Business · Economics · Labour economics · Lens (geology · Path (computing · Sociology · Computer Science · Digital Economy and Work Transformation · Employment and Welfare Studies · Engineering · Labor market dynamics and wage inequality

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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