Multiscale dimensions of the foreign working citizens participation to the Italian labour market: intra-regional heterogeneities across the North–South divide

Federico Benassi (), Alessio Buonomo, Hamidreza Rabiei-Dastjerdi and Maria Carella
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Federico Benassi: University of Naples, Federico II
Alessio Buonomo: University of Naples, Federico II
Hamidreza Rabiei-Dastjerdi: University College Dublin (UCD)
Maria Carella: University of Bari “Aldo Moro”

Letters in Spatial and Resource Sciences, 2024, vol. 17, issue 1, No 22, 15 pages

Abstract: Abstract This article delves into the distinctive intra- and interregional geographical heterogeneity of Italy, emphasizing demographic and socio-economic variations and the role of foreign employment, considering the labour market as a fundamental driver for migration and local inclusion. The article identifies a gap in understanding the employed foreign population as a multiscale process in Lombardy and Campania, representative regions as case studies from the North and South divide using a MGWR approach. The results reveal contrasting effects of the Italian labour force’s unemployment rate (URI). In Lombardy, a positive effect suggests working competition between labour force components while, in Campania, the relation is less clear. The analysis underscores significant local heterogeneity, emphasizing the importance and urgency of employing local scale analysis for accurate statistics. The study emphasizes the multiscale nature of the analysed process, demonstrating variable effects across different regional contexts. While the study is limited to two regions and cross-sectional data, it marks the first attempt in Italy to address the foreign presence as a multiscale process, highlighting the need for localized and multiscale approaches in understanding spatial processes related to demography and population issues.

Keywords: Foreign presence; Local labour market; Multiscale geographically weighted regression; Spatial demography; Italy (search for similar items in EconPapers)
JEL-codes: C10 J6 R10 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s12076-024-00385-9

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