The Determinants of Immigrants’ Skill Composition

MakaleAçık ErişimScopus SJRQ3
  • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
  • SDG 10 · Eşitsizliklerin Azaltılması

Özet

Movements of labor across the world is an ongoing debate in the literature in terms of its drivers and results in sending and receiving areas. Skill composition of immigrant labor has been discussed by several papers, although they generally focused on visa policies or firm level productivity. However, this paper focuses on the relationship between immigrants’ educational attainment and government budgeting on research and development (R&D). Panel data analysis is applied for European countries, along with instrumental variable approach as a robustness check. Findings reveal that higher budget allocation for R&D is associated with higher skill level of immigrants within overall immigrant population. This finding is driven by young immigrants whose ages are between 25 and 34 and female immigrants in these countries, suggesting that this relationship varies among sub-groups of immigrants, which would have significant policy implications. Hence, the novel and original approach of the paper resides in the deciding factors of immigrants’ skill composition.

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https://rdlopen.rawdatalibrary.net/r/gumushane/14394Resmi atıflarda kullanılan kalıcı adres
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https://doi.org/10.3390/jrfm15090391Yayıncı resmi DOI adresi
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AlanDeğerDil
dc.contributor.authorKarapınar Kocağ, Esra
dc.contributor.authorLi, Yutong
dc.contributor.authorPopescu, Cristina Raluca Gh.
dc.date.accessioned2026-10-22T10:22:39.356585738Z
dc.date.available2026-10-22T10:22:39.356585738Z
dc.date.issued2022
dc.description.abstractMovements of labor across the world is an ongoing debate in the literature in terms of its drivers and results in sending and receiving areas. Skill composition of immigrant labor has been discussed by several papers, although they generally focused on visa policies or firm level productivity. However, this paper focuses on the relationship between immigrants’ educational attainment and government budgeting on research and development (R&D). Panel data analysis is applied for European countries, along with instrumental variable approach as a robustness check. Findings reveal that higher budget allocation for R&D is associated with higher skill level of immigrants within overall immigrant population. This finding is driven by young immigrants whose ages are between 25 and 34 and female immigrants in these countries, suggesting that this relationship varies among sub-groups of immigrants, which would have significant policy implications. Hence, the novel and original approach of the paper resides in the deciding factors of immigrants’ skill composition.
dc.description.sponsorshipEuropean Commission, EC
dc.description.sponsorshipSeventh Framework Programme, FP7, (202020)
dc.description.sponsorshipSeventh Framework Programme, FP7
dc.identifier.articlenumber391
dc.identifier.doi10.3390/jrfm15090391
dc.identifier.eissn1911-8074
dc.identifier.issn1911-8066
dc.identifier.issue9
dc.identifier.scopus2-s2.0-85138633243
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/14394
dc.identifier.volume15
dc.identifier.wosWOS:000856651100001
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofJournal of Risk and Financial Management
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectcompetitiveness
dc.subjecteconomic growth
dc.subjecteducation
dc.subjecthigh-skilled labor immigrants
dc.subjecthuman resources
dc.subjectinnovation
dc.subjectlabor demand mechanism
dc.subjectlabor market
dc.subjectpanel data
dc.subjectR&D expenditure
dc.subjectsustainable development
dc.subjectSustainable Development Goals (SDGs)
dc.subjectwell-being
dc.subject.classificationBusiness, Finance
dc.subject.classificationBusiness & Economics
dc.titleThe Determinants of Immigrants’ Skill Composition
dc.typeArticle
rdl.citation.openalex0
rdl.citation.scopus1
rdl.citation.wos0
rdl.oa.statushybrid
rdl.oa.urlhttps://www.mdpi.com/1911-8074/15/9/391/pdf?version=1663737500
rdl.scopus.quartileQ3
rdl.sdgSDG10
rdl.sdgSDG08
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexEmerging Sources Citation Index (ESCI)