Between ethnic diversity and immigration: Perceptions toward immigrants in a globalizing world.

Anti-Immigration sentiment Ethnic diversity Immigration Social capital

Journal

Social science research
ISSN: 1096-0317
Titre abrégé: Soc Sci Res
Pays: United States
ID NLM: 0330501

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 11 11 2021
revised: 07 09 2023
accepted: 24 10 2023
medline: 6 12 2023
pubmed: 5 12 2023
entrez: 4 12 2023
Statut: ppublish

Résumé

This study examines how ethnic diversity and immigration at the national level influence individual perceptions toward immigrants in a cross-national context. Including both Western and non-Western countries, we specifically explore whether cumulative exposure to ethnic diversity and the current size of immigrants have dissimilar effects on individual perceptions. Results from multilevel regression analysis suggest that the level of ethnic diversity is positively associated with perceptions toward immigrants, while the number of immigrants is negatively related to immigrant perceptions. Furthermore, we find that social capital matters in reshaping these relationships: At least for individuals having high levels of social capital, the relationship between living in an ethnically diverse society and their favorable perceptions toward immigrants is strengthened while the association between observing a large number of immigrants and having negative perceptions is weakened. This research provides implications for understanding cross-national difference of individual perceptions on immigrants in our diversifying world.

Identifiants

pubmed: 38049212
pii: S0049-089X(23)00100-X
doi: 10.1016/j.ssresearch.2023.102945
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

102945

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Auteurs

Eunsoo Cho (E)

Harvard University, USA.

Seulsam Lee (S)

York University, Canada.

Chan S Suh (CS)

Chung-Ang University, Republic of Korea. Electronic address: sociochan@cau.ac.kr.

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Classifications MeSH