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AuthorAli, Waad
AuthorAgyekum, Boadi
AuthorAl Nasiri, Noura
AuthorAbulibdeh, Ammar
AuthorChauhan, Shekhar
Available date2024-06-02T08:19:24Z
Publication Date2023-04-12
Publication NameEconomies
Identifierhttp://dx.doi.org/10.3390/economies11040114
CitationAli, W., Agyekum, B., Al Nasiri, N., Abulibdeh, A., & Chauhan, S. (2023). Effects of Spatial Characteristics on Non-Standard Employment for Canada’s Immigrant Population. Economies, 11(4), 114.
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85153746886&origin=inward
URIhttp://hdl.handle.net/10576/55723
AbstractUsing microdata from Statistics Canada’s Labour Force Survey (LFS) and Population Census, this paper explores how spatial characteristics are correlated with temporary employment outcomes for Canada’s immigrant population. Results from ordinary least square regression models suggest that census metropolitan areas and census agglomerations (CMAs/CAs) characterized by a high share of racialized immigrants, immigrants in low-income, young, aged immigrants, unemployed immigrants, and immigrants employed in health and service occupations were positively associated with an increase in temporary employment for immigrants. Furthermore, findings from principal component regression models revealed that a combination of spatial characteristics, namely CMAs/CAs characterized by both a high share of unemployed immigrants and immigrants in poverty, had a greater likelihood of immigrants being employed temporarily. The significance of this study lies in the spatial conceptualization of temporary employment for immigrants that could better inform spatially targeted employment policies, especially in the wake of the structural shift in the nature of work brought about by the COVID-19 pandemic.
Languageen
PublisherMultidisciplinary Digital Publishing Institute (MDPI)
Subjectimmigration
non-standard employment
race
spatial characteristics
temporary employment
TitleEffects of Spatial Characteristics on Non-Standard Employment for Canada’s Immigrant Population
TypeArticle
Issue Number4
Volume Number11
ESSN2227-7099
dc.accessType Open Access


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