Content area

Abstract

Immigration is a contentious topic that continues to generate debates among scholars, practitioners, and the general public in the United States. Recent increase in anti-immigration sentiments in the U.S. have led to the proliferation of studies seeking to explain this phenomenon. However, the results from these studies have been inconsistent and inconclusive due to various factors. The present study adds to these existing studies by examining the predictors of public support for police stops targeted at illegal immigrants and immigrants with a criminal background. Results from our binary logistics regression suggest that political factors, the fear of immigrants, and some socio demographic variables influence public support for police stops targeted at illegal immigrants and immigrants with a criminal background in the U.S. The present findings have serious theoretical and practical implications for understanding immigration, police-immigrant relationships, and public attitude towards immigration policy and immigrants in the U.S.

Details

Title
Immigration in the United States: Exploring the Factors that Predict Public Support for Police Stops Targeted at Illegal Immigrants & Immigrants with Criminal Background
Author
Dzordzormenyoh, Michael Kwame 1   VIAFID ORCID Logo  ; Perkins, Deion 2 

 Oklahoma State University, Department of Political Science, Stillwater, USA (GRID:grid.65519.3e) (ISNI:0000 0001 0721 7331) 
 University of California – Santa Barbara, Center for Black Studies Research, Santa Barbara, USA (GRID:grid.133342.4) (ISNI:0000 0004 1936 9676) 
Pages
1545-1566
Publication year
2022
Publication date
Sep 2022
Publisher
Springer Nature B.V.
ISSN
14883473
e-ISSN
18746365
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2705208191
Copyright
© The Author(s), under exclusive licence to Springer Nature B.V. 2021.