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PIJPSM
47,2
Policing Asian communities
in the United States: a systematic
literature review and discussion
150
Received 17 April 2023
Revised 19 June 2023
Accepted 20 June 2023
Hyeyoung Lim
Department of Criminal Justice, University of Alabama at Birmingham,
Birmingham, Alabama, USA
Brian Lawton
Department of Criminal Justice, John Jay College of Criminal Justice, City University of
New York, New York, New York, USA, and
John J. Sloan
Department of Criminal Justice, University of Alabama at Birmingham,
Birmingham, Alabama, USA
Abstract
Purpose – This article aims to synthesize published research on the policing of Asian communities in the
United States.
Design/methodology/approach – This is a systematic literature review using PRISMA 2020 guidelines.
Findings – Sixteen studies were reviewed. Five examined violence by police against Asian community
members and reported rates for Asians closer to those against Whites than against members of other groups.
One study found no relationship between violence against police and increased minority representation on the
force. Four studies reported conflicting results regarding traffic stops of Asian motorists and in general
perceptions of police anti-Asian bias. One study illustrated how racialization processes reproduce inequality
both between racial-ethnic categories and within them. Five studies examined Asian community members’
general attitudes toward/satisfaction with police and reported—with qualifications—generally favorable
attitudes and satisfaction with them.
Originality/value – This is the first systematic literature review of policing Asian communities in the United
States.
Keywords Police, Asian, Community, Ethnicity, Bias, Procedural justice, Race
Paper type Literature review
Policing: An International Journal
Vol. 47 No. 2, 2024
pp. 150-166
© Emerald Publishing Limited
1363-951X
DOI 10.1108/PIJPSM-04-2023-0053
Introduction
According to the United Nations Population Division (cited in Hanna and Batalova, 2021), in
late 2020 about 15% of the 114.9 million migrants from Asia resided in North America—mainly
the United States where Asian Americans are the fastest growing segment of the population.
Between 2000 and 2019, the US population of Asian Americans increased by 81%, which
outpaced a 70% increase among Hispanics and a 20% increase in the Black population (Budiman
and Ruiz, 2021a, b). The 2020 Census also shows that Asian American residents are highly
represented (their share of the area population is larger than is the group’s share of the national
population) in California, Washington, Texas; in portions of the Southeast; in large metropolitan
areas on the East coast; and in many small towns in all parts of the country (see Frey, 2021). These
racial or ethnic enclaves (e.g. San Francisco’s Chinatown) may serve as “safe havens” for newly
arriving immigrants, in what MacDonald and MacDonald (1964) dubbed “chain migration,” as
the enclave provides new arrivals access to housing, jobs, and socializing and allows them to
recreate some of the amenities associated with their former countries (Terzano, 2014).
This paper forms part of a special section “Policing and Asian communities: An area that has been
neglected by police scholars”, guest edited by Hyeyoung Lim, Brian Lawton and John J. Sloan.
Among the 22 million Asians in the United States, 83% are single-race, non-Hispanic,
14% are multiracial and 3% are of Hispanic origin (Budiman and Ruiz, 2021a, b). Asian
Americans are also ethnically diverse: More than 20 countries in East and Southeast Asia
and the Indian subcontinent—each with their own history, culture and languages—
represent the origins of Asian Americans (Budiman and Ruiz, 2021a, b). Further, nearly
85% of Asian Americans identify as belonging to Chinese, Indian, Filipino, Vietnamese,
Korean and Japanese origin groups (Budiman and Ruiz, 2021a, b). To illustrate, recent
focus groups of Asian Americans convened by the Pew Research Center indicated that
respondents felt the pan-ethnic “Asian” label represented only a part of how they thought
of themselves [1]. Recently arrived immigrants, for example, said they were drawn more to
their ethnic identity than to the United States originated pan-ethnic “Asian” identity, while
US-born participants shared how they sometimes identified as Asian but at other times
identified with their ethnic origin and as Americans (e.g. Vietnamese American). Members
also noted a disconnect between how they saw themselves and how others viewed them
and that this disjuncture sometimes led to maltreatment of them or their families,
especially during certain epic historical periods such as WWII, the Vietnam War, 9/11, and
the COVID-19 epidemic (Ruiz et al., 2022).
Beyond the ethnic heterogeneity of Asian American communities is the fact these
communities’ members include not only the newly arrived, but first-, second- and thirdgeneration (and beyond) immigrant members. The new immigrants may be struggling with
assimilation challenges arising from language barriers, cultural stigma against seeking
outsiders’ help, a reluctance for pursuing litigation and the host country’s often overarching
stereotype of Asians as the “model minority” (Hwang, 2021). Conversely, more established
community members may have overcome many of these challenges, while still seeking full
integration into American life.
To illustrate this generational heterogeneity, in a recent study of Asian American voters’
policy preferences, Kim (2021) described the existence of two distinct subgroups of Asian
Americans. One group consists of relatively young, second- or third-generation natives, who
are politically liberal, racially conscious, college-educated members of the middle class.
Typically of East Asian or Indian ethnicity, this group is largely comprised of members of the
professional class (e.g. lawyers and doctors) residing in big cities and been physically
integrated into white residential neighborhoods and workspaces. In contrast, members of the
second group are older, disproportionately male, politically conservative and first-generation
immigrants born outside the United States of Southeast Asian ethnicity (e.g. Cambodian or
Vietnamese) who may not be proficient in English. Kim (2021) suggests this generational
divide among Asian Americans has been ironically present in recent well-publicized attacks
on Asian Americans. Older, more conservative first-generation immigrants have more often
been the victims of these attacks rather than have younger, more liberal and college-educated
second-generation natives.
These dynamics of population expansion via immigration, along with the ethnic,
geographic and generational heterogeneity of Asian American communities, can result in
Asian Americans being ignored and/or left behind when agency decision-makers are
developing culturally appropriate justice system responses to Asian American needs. In
particular, identifying and understanding the relationship that Asian American communities
have with local police is thus important, if for no other reason than for ensuring appropriate
services geared to both native and immigrant Asian Americans are integrated into the larger
justice system.
Notably absent from research on first- and second-generation racial and ethnic minorities’
perceptions of local US police are studies of the relationship between local police and Asian
communities in the United States despite the dramatic growth of these communities, the wellspring of anti-Asian sentiment that appeared during the COVID epidemic, and increasing
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demands by some politicians that local police enforce immigration law (Wu et al., 2013).
Baluran (2022, p. 2) suggests this knowledge gap concerning the policing of Asian American
communities is “. . . Attributable to small population size, data scarcity, and the persistence of
the model minority myth.”
To uncover what is known about the policing of Asian communities in the United States,
the current study presents results from the first systematic literature review (Fink, 2014) of
published research on the policing of Asian American communities in the United States using
the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA; see
Page et al., 2021). Because PRISMA is comprehensive, we focused our review on multiple
aspects of existing studies including details of their methodology, their theoretical and
analytical frameworks, major results and the studies’ research and policy implications.
According to Shaffril et al. (2021), such reviews help researchers discover patterns; develop
comprehension of the depth, breadth and details of existing knowledge; and facilitate
researchers’ identification of knowledge gaps warranting investigation.
Methodology
Recognizing that “policing Asian communities in the United States” covers a spectrum of
outcomes, our systematic review was limited to studies published in English and
appearing in refereed journals. We further limited our focus to research related to
interactions occurring between police and the public in the United States (locations outside
the United States were included as long as comparisons were made with US locations). We
then developed a predetermined list of keyword filters to identify relevant articles housed
in Criminal Justice Abstracts and Scopus [2]. The filters were keywords appearing in
article titles or abstracts. Although the search terms we used were not intended to be
exhaustive, they nonetheless highlighted common Asian communities found in the United
States and included the terms “Asian,” “Chin,” “Korea,” “India,” “Vietnam,” “Filip,” “Japan”
and “Cambodia “ with each term, other than “Asian,” combined with a wildcard function (*)
to ensure no exclusions occurred due to terminology. We used additional criteria to focus
the search on articles in print or published Online First whose author(s) were affiliated
with a US college or university. Finally, after a preliminary search demonstrated a problem
with search engines confusing “American Indian” and “India*,” we excluded articles
relating to “American Indians.”
PRISMA stages
Figure 1 illustrates the stages of the search that resulted in 2,440 initial hits; each article’s
abstract including duplicates was then reviewed by two of the authors to determine inclusion.
A total of 83 articles passed initial review [3]. After closer review of the articles’ abstracts, 29
were deemed relevant for inclusion. The primary reasons for the reduction from 83 to 29
articles were because (1) the study location was outside the United States; (2) the study was
not empirically based (i.e. was purely theoretical or analytical); (3) the study did not focus on
interactions occurring between the police and the public; (4) the study failed to include data on
race or provided no analysis of racial or ethnic Asians; or (5) the article was a duplicate.
To ensure data quality and accuracy, the three coauthors each coded the remaining 29
articles on key characteristics, met multiple times to review and discuss each authors’ coding
and reached consensus about each study’s characteristics. In doing this, we determined that
13 studies were not relevant to our research question and would be excluded: two law reviewtype articles, 10 articles that measured opinions of local police regarding Asians but did not
include how interactions with Asian residents may have shaped officers’ opinions and one
article whose reliance on aggregate-level secondary data made its relevance difficult to
Identification
Policing Asian
communities
Records identified from:
Scopus (N = 1,383)
Criminal Justice Abstracts
(N = 1,057)
153
Records screened
Records excluded
Scopus (N = 53)
(N = 2,357)
Screening
CJA (N = 30)
Records sought for retrieval
Record Doubles
Scopus (N = 32)
(N = 21)
CJA (9)
Both (21)
Included
Records excluded:
Unique records retrieved
Non-US population (N = 9)
(N = 29)
Non-research article (N = 24)
Records included in review
(N = 16)
Records excluded:
Law Journal (N = 2)
Nonspecific (N = 1)
No Interaction (N =10)
Source(s): Authors own creation
determine. The end result of the process was consensus among the coauthors on a final set of
16 articles that are found in Table 1 along with the characteristics we coded for each article.
Figure 1.
PRISMA flow diagram
for selecting articles in
the review
Key topics
Dataset
Quantitative
Cross
Sectional2
Quantitative
Cross
Sectional2
Traffic
Stops
Secondary
No/No
No
Secondary
Yes/Yes
Yes
Quantitative
Cross
Sectional1
Survey
Research
Qualitative
Cross
Sectional1
Survey
Research
Quantitative
Cross
Sectional1
Survey
Research
Other3
Police discretion in
police-citizen traffic
encounters
Police discretion in the
disposition of traffic
stops; Spatial
Disproportionality
Global satisfaction
with police; Police
effectiveness; Police
integrity; Police
demeanor
Perception of the police
Primary
No/No
Yes
Primary
No/No
Yes
Mixed
Global satisfaction
with police; Contact
with the police
Primary
No/No
Yes
Quantitative
Cross
Sectional1
Survey
Research
Other
Police bias
Primary
Yes/No
Yes
Sample (N)/
location
Operationalizing
race/size of sample
Research
design
CJC
Mixed (10210)/
Midwest
Asian (832)
CJC
Mixed (3060)/
Pacific
Northwest
Asian (284)
Wu et al.
(2011)
CJC
General
population (412)/
DE, NY, PA
Chinese (412)
Vogel
(2011)
CJC
General
population
(1219)/CA
Asian (66)
Wu et al.
(2012)
CJC
Chinese (350)
Wu et al.
(2013)
CJC
General
population (350)/
NYC,
Philadelphia,
Two Cities in
Delaware
General
population (388)/
NYC,
Philadelphia,
Two Cities in
Delaware
Author(s)
Moon and
Corley
(2007)
Greenleaf
et al. (2008)
Chinese (307)
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Table 1.
Articles included in the
current study
Context
Theory
used/
tested
Journal
type*
Traffic
Stops
Other
Policy
recommendations
(continued )
Journal
type*
Sample (N)/
location
Operationalizing
race/size of sample
Research
design
Chu and
Song
(2015)
CJC
General
population (444)/
NYC, Toronto
Taiwan (135) China
(160) Hong Kong
(73) Vietnam (20)
Other (13)
Ozkan
et al. (2016)
CJC
Mixed (1813)/
USA
Asian (N/A)
Quantitative
Cross
Sectional2
Survey
Research
Quantitative
Author(s)
Key topics
Dataset
Other
Police efficacy
Primary
No/No
Yes
Other
Assaults on the police;
Minority
representation in
police department
Secondary
Yes/Yes
Yes
Policy
recommendations
Policy
recommendations
Context
Terms
Dataset
Theory
used/
tested
Quantitative
Cross
Sectional2
Quantitative
Cross
Sectional1
Other
Civilian injuries
sustained via
police use of force
Police misconduct
Secondary
No/No
No
Primary
Yes/Yes
No
Quantitative
Cross
Sectional2
Mixed
Methods
Cross
Sectional2
Other
Police use of force;
Killed by police
Secondary
No/No
No
Other
Average annual
rates of death by
police violence
Mixed
No/No
No
Author(s)
Journal
type
Sample (N)/
location
Operationalizing race/
size of sample
Research
design
Mooney
et al. (2018)
Medicine/
Health
Other (92386)/
CA
Asian (1957)
Graziano
and
Gauthier
(2019)
Edwards
et al.(2019)
CJC
General
population
(1197)/CA
Asian (297)
Other
Asian (N/A)
Schwartz
and Jahn
(2022)
Other
General
population/
USA
Mixed (3155)/
USA
AAPI (167)
Context
Theory
used/
tested
Other
(continued )
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Table 1.
Sample (N)/
location
Operationalizing race/
size of sample
Research
design
Yuan et al.
(2022)
CJC
General
population
(3756)/CA
Asian (1327)
Medina et al.
(2022)
Other
General
population
(1727)/USA
N/A (“Other”)
Quantitative
Cross
Sectional1
Survey
Research
Quantitative
Cross
Sectional2
De Trinidad
Young et al.
(2022)
Baluran
(2022)
Other
Other–Asian
immigrants
(1103)/CA
Other–Asian
descendants
(36)/USA
Asian (452)
Author(s)
Quantitative
Cross
Sectional1
Qualitative
Cross
Sectional1
Interviews
Context
Terms
Dataset
Theory
used/
tested
Other
Perceptions of
police bias
Primary
Yes/Yes
Yes
Other
Deaths during
police interaction;
Sociospatial
ecology; Racial
bias
Health and
psychological
distress
Experienced
racialization
Secondary
Yes/No
No
Primary
No/No
Yes
Primary
Yes/Yes
No
Other
Other
Southeast Asians (17);
East Asians (7); South
Asians (6); Other
Asians (6)
Note(s): * CJC 5 Criminal Justice and Criminology
** Other 5 sociology, psychology, National Academy of Science
1
Cross sectional collected at one time point
2
Cross sectional data collected in waves
3
Reporting victimization; Routine patrol encounters; Media accounts of police misconduct
Source(s): Authors own creation
Sociology
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Table 1.
Journal
type
Policy
recommendations
Analysis and results
The 16 studies included in the review were published between 2007 and 2022 (we did not set a
prior start or end date for article inclusion). Among them, 31% (n 5 5) were published in 2022.
Most (62.5%, n 5 10) were published in criminology/criminal justice journals (e.g. Journal of
Criminal Justice, Policing: An International Journal, Police Quarterly). The remaining studies
appeared in a sociology journal (Baluran, 2022), a medicine/public health journal (Mooney
et al., 2018) and journals representing other disciplines (De Trinidad Young et al., 2022;
Edwards et al., 2019; Medina et al., 2022; Schwartz and Jahn, 2022).
Research designs
Most studies were cross-sectional, with eight (50%) using data collected from one or more
samples at a single time point (Baluran, 2022; De Trinidad Young et al., 2022; Graziano and
Gauthier, 2019; Vogel, 2011; Wu et al., 2011, 2012, 2013; Yuan et al., 2022). Seven (43.7%)
studies were repeated cross-sectional, meaning the data were collected from different people
over more than one period such as 60 months of state-level hospital ER admissions (Chu and
Song, 2015; Edwards et al., 2019; Greenleaf et al., 2008; Medina et al., 2022; Moon and Corley,
2007; Mooney et al., 2018; Schwartz and Jahn, 2022). One study (Ozkan et al., 2016) used
multiple sources containing multiple years of data.
The majority used quantitative methods to gather data (81.3%, n 5 13), two studies
(12.5%) used qualitative methods (Baluran, 2022; Vogel, 2011) and one study (1.25%) used
mixed methods (Schwartz and Jahn, 2022). Most of the studies used primary data collected
from surveys (69.2%, n 5 9) or interviews (7.7%, n 5 1). Three studies (23.1%) used
secondary data collected from many sources (e.g. the US Census, Law Enforcement
Management and Administrative Statistics (LEMAS), and Fatal Encounters Dot Org) [4].
Contextual focus, sample designs and sample characteristics
Contexts examined by the articles varied. Thirteen studies (81.3%) were coded as “other”
contexts (mostly “not applicable” since no specific context was being studied), while two
studies focused on traffic stops (Greenleaf et al., 2008; Moon and Corley, 2007), and one study
examined traffic stops, street searches and victim reporting (Wu et al., 2012).
Just under one-half of the studies (43.8%, n 5 7) used a population of cases or incidents
such as traffic citations issued (Moon and Corley, 2007; Greenleaf et al., 2008; Ozkan et al.,
2016; Mooney et al., 2018; Edwards et al., 2019; Schwartz and Jahn, 2022; Medina et al., 2022).
Five studies (31.2%) used nonprobability samples (Wu et al., 2011, 2012, 2013; Baluran, 2022;
Chu and Song, 2015), and two studies (12.5%) used mixed sampling designs (Graziano and
Gauthier, 2019; Yuan et al., 2022). One study (6.25%) employed a probability sampling
method (Vogel, 2011).
Most of the studies’ sample members included only Asian residents (75%, n 5 12; Baluran,
2022; Chu and Song, 2015; De Trinidad Young et al., 2022; Edwards et al., 2019; Graziano and
Gauthier, 2019; Mooney et al., 2018; Schwartz and Jahn, 2022; Vogel, 2011; Wu et al., 2011,
2012, 2013; Yuan et al., 2022); four studies (25%) included Asian residents and police officers
(Moon and Corley, 2007; Greenleaf et al., 2008; Ozkan et al., 2016; Medina et al., 2022). Among
the sixteen studies, five included sample members from California (De Trinidad Young et al.,
2022; Graziano and Gauthier, 2019; Mooney et al., 2018; Vogel, 2011; Yuan et al., 2022); four
studies included sample members from New York City; and five studies (Baluran, 2022;
Edwards et al., 2019; Medina et al., 2022; Ozkan et al., 2016) used national-level samples. Other
studies included sample members from a “Midwestern state” (Moon and Corley, 2007) and a
“Pacific Northwestern state” (Greenleaf et al., 2008). Four studies included sample members
from multiple locations including Delaware, New York City and Philadelphia (Wu et al., 2011,
2012, 2013) and New York City and Toronto (Chu and Song, 2015).
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Regarding sample populations, nine of the studies (56.2%) targeted local community
members regardless of gender, age or other specific characteristics (Chu and Song, 2015;
Edwards et al., 2019; Graziano and Gauthier, 2019; Medina et al., 2022; Vogel, 2011; Wu et al.,
2011, 2012, 2013; Yuan et al., 2022). Four studies (25%) drew their samples from a mixture of
community members, K-12 schools, college/university students and/or faculty and police or
community organizations (Greenleaf et al., 2008; Moon and Corley, 2007; Schwartz and Jahn,
2022; Ozkan et al., 2016). We coded three studies as “other” because their samples came from
specific populations such as new immigrants (De Trinidad Young et al., 2022), persons of
“Asian descent” (Baluran, 2022) or hospital emergency room visits/admittances (Mooney
et al., 2018).
Dependent or outcome variables used in the studies
Dependent variables or outcomes in the studies were varied and included: police efficacy/
effectiveness (Chu and Song, 2015; Wu et al., 2011), global satisfaction with police (Wu et al.,
2011), assaults on police officers (Ozkan et al., 2016), police misconduct (Graziano and
Gauthier, 2019), police bias/racialization (Baluran, 2022; Wu et al., 2013; Yuan et al., 2022),
police interaction resulting in civilian death or injury (Edwards et al., 2019; Medina et al., 2022;
Mooney et al., 2018; Schwartz and Jahn, 2022), perceptions of the police (Vogel, 2011) and
immigration enforcement (De Trinidad Young et al., 2022). Half of the sixteen studies
measured one outcome variable (50%, n 5 8), while the other half examined two or more
outcome variables (Baluran, 2022; Chu and Song, 2015; De Trinidad Young et al., 2022;
Greenleaf et al., 2008; Moon and Corley, 2007; Wu et al., 2011, 2012, 2013).
Independent variables used in the studies
Among the sixteen studies, twelve (75%) used race/ethnicity as a primary predictor. Studies
in which race was not a main predictor were those focusing on a single racial/ethnic group
such as members of the Chinese community (25%, n 5 4; Chu and Song, 2015; Wu et al., 2011,
2012, 2013). Most studies used the term Asian (56.2%, n 5 9), while 6 studies (37.5%; Baluran,
2022; Chu and Song, 2015; Schwartz and Jahn, 2022; Wu et al., 2011, 2012, 2013) focused on
specific Asian subgroups. One study included Asians but put them into an “Other” category
along with Pacific Islanders, Native Americans/Alaskans and those from Middle Eastern
countries (Medina et al., 2022). Categorizing Asians or Asian Americans/Pacific Islanders
(AAPIs) as “Other” was common when other racial or ethnic groups were included due to the
relatively small number of sample members, especially when cross-sectional data for a single
year were used. Most commonly, the breakdown of racial/ethnic group membership included
White, Black, Asian and “Other” (Greenleaf et al., 2008; Moon and Corley, 2007); American
Indian/Alaska Native (Edwards et al.); or Hispanic/Latino (Graziano and Gauthier, 2019;
Mooney et al., 2018; Vogel, 2011). One study (De Trinidad Young et al., 2022) compared Asian
and Latinx immigrants.
Across the studies, both predictor and outcome/dependent variables were measured using
self-reports (56.2,% n 5 9; Baluran, 2022; Chu and Song, 2015; De Trinidad Young et al., 2022;
Graziano and Gauthier, 2019; Vogel, 2011; Wu et al., 2011, 2012, 2013; Yuan et al., 2022), police
reports (12.5%, n 5 2; Moon and Corley, 2007; Greenleaf et al., 2008), crime data (6.3%, n 5 1;
Ozkan et al., 2016) and other measures (25%, n 5 4; Edwards et al., 2019; Medina et al., 2022;
Mooney et al., 2018; Schwartz and Jahn, 2022).
Theories and conceptual framework employed
There were seven articles (43.7%; Baluran, 2022; Graziano and Gauthier, 2019; Greenleaf
et al., 2008; Medina et al., 2022; Ozkan et al., 2016; Wu et al., 2013; Yuan et al., 2022) that used at
least one theory as a framework for the study and five (71.4%) of them tested the theory
(Baluran, 2022; Graziano and Gauthier, 2019; Greenleaf et al., 2008; Ozkan et al., 2016; Yuan
et al., 2022). Theories used in the studies included racial threat theory (Greenleaf et al., 2008;
Ozkan et al., 2016), group position theory (Graziano and Gauthier, 2019; Wu et al., 2013; Yuan
et al., 2022), conflict theory (Graziano and Gauthier, 2019; Medina et al., 2022; Ozkan et al.,
2016; Yuan et al., 2022), formal control theory (Ozkan et al., 2016), the “racial-ethnic gradient
hypothesis” (Graziano and Gauthier, 2019), a “multifaceted discrimination model” (Yuan et al.,
2022) and status construction theory (Baluran, 2022).
We also coded the conceptual framework of a study when an identified theory was absent,
but theory-based or theory-derived concepts were used by the study or emphasized in the
literature review (37.5%, n 5 6; Baluran, 2022; Chu and Song, 2015; De Trinidad Young et al.,
2022; Greenleaf et al., 2008; Moon and Corley, 2007; Mooney et al., 2018). For example, “racial
profiling” was used by Moon and Corley (2007) and Greenleaf et al. (2008), while Chu and Song
(2015) used “police efficacy” as the conceptual framework to explain how policing styles
affected Chinese immigrants’ perceptions of the police. The framework of “biased policing”
was used and tested by Mooney et al. (2018). Two studies implied the use of a “structural
racism” framework (De Trinidad Young et al., 2022) and a “differential racialization”
framework (Baluran, 2022).
Studies’ results
Across the 16 studies, outcomes for members of Asian communities on the many dependent
variables (DVs) were compared to the outcomes on the same DVs for members of other
racialized or ethnic groups including White, Black and Latino/a/x. We then grouped the
studies into four overarching categories: violence by police, violence against police, police
bias/discrimination and attitudes toward/satisfaction with police.
Four of the studies (Edwards et al., 2019; Medina et al., 2022; Mooney et al., 2018; Schwartz
and Jahn, 2022) examined comparative levels/rates of police violence—measured as a
traumatic and fatal injury suffered by a victim—against members of racialized and ethnic
minority communities. One additional study, De Trinidad Young et al. (2022), examined the
association between Asian and Latinx immigrants’ cumulative immigration enforcement
experiences and self-reported health (SRH) and psychological distress and tested interactions
by ethnicity and citizenship.
Three of these studies—Mooney et al. (2018), Edwards et al. (2019) and Medina et al.
(2022)—found rates of police violence against Asians were closer to rates for Whites and were
thus significantly lower than rates of violence against other racialized/ethnic minorities.
Schwartz and Jahn (2022) found a large variation in the rates at which different AAPI groups
experienced fatal police violence during 2013–2019, with rates particularly high for Pacific
Islanders. Schwartz and Jahn (2022) argued the dramatic differences underscored the
necessity of national/ethnic data for describing inequities in the risk of fatal police violence
and have public health importance given the implications of fatal police violence for the
health of people of decedents’ communities, especially among smaller ethnic groups or tightknit ethnic communities, and point to limitations of previous studies on police violence that
ignored national/ethnic heterogeneity within larger racial/ethnic groups.
De Trinidad Young et al. (2022) examined the cumulative effects of racialized exclusion via
surveillance, police profiling, and deportation on Asian and Latinx immigrants’ self-reported
health (SRH) and mental health. They found Asians’ and Latinx’s cumulative immigration
enforcement experiences were associated with worse self-rated health and increased
psychological distress. Their study provided rarely identified population-level evidence on
the cumulative effects of multiple forms of immigration enforcement on the physical and
mental health of Asian and Latinx immigrants.
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Ozkan et al. (2016) examined violence against police officers testing the hypothesis that
increased minority representation in policing was inversely related to violence (assaults,
homicides) against the police using four secondary datasets (LEOKA, census data, UCR
crimes cleared by arrest data and LEMAS data). After estimating separate count regression
models for violence against police for Black, Hispanic and Asian representation, Ozkan et al.
(2016) found that increased minority officer representation was not significantly related to
assaults on police whether assessed individually, with organizational variables or with
organizational and community variables. They posited that despite the fact that police
agencies may have a history of poor relations with the communities, resulting in aggressive
efforts to recruit minorities and significantly enhance their representation among sworn
officers, those negative perceptions toward the police continue due to that history.
Two studies examined police bias/discrimination in the discretion exercised during traffic
stops. Moon and Corley (2007) found that Asian drivers were less likely to be searched but
more likely to receive legal sanctions than White drivers and that overall, both legal and
extralegal factors (i.e. types of traffic violation, time, officer type) significantly affected
officers’ decisions during traffic stops. Greenleaf et al. (2008) examined racial
disproportionality in the distribution of 3,000 police warning citations by testing three
hypotheses: law enforcement, traffic enforcement and racial threat. They found the greatest
support for the racial threat hypothesis: African American motorists were at a greater risk of
receiving a traffic ticket while driving in the most affluent beats of the large northwestern city
in which the study was conducted. In contrast, except for White motorists, Asian motorists
were at much lower risk of receiving a ticket.
Graziano and Gauthier (2019) examined whether a racial/ethnic hierarchy or gradient
existed among members of racialized or ethnic minority groups in perceptions of local police
misconduct and bias using survey data collected from 1,197 adult (age 18 or older) residents
of a mid-sized California city. The authors reported that Asian attitudes about police
misconduct and bias were indistinguishable from those of Whites, thereby challenging the
hierarchy of perceptions thesis.
Yuan et al. (2022) examined factors associated with public perceptions of police bias and
whether perceptions of racial discrimination mediated the relationship between race/
ethnicity and perceptions of police bias—measured as a three-item scale—using survey data
collected from a representative sample of 3,756 adult residents in San Jose (CA) with
particular focus on a diverse set of minority groups, including Blacks, Hispanics and Asian
residents and across immigrant generations. The authors reported that Latino, Black and
Asian American respondents were more likely to have had experiences with racism and
report police as biased than White residents, similar to what has been reported in other
studies. They also reported that racial and ethnic disparities in assessments of police bias
disappeared when controlling for direct and indirect experiences of racism and that
controlling for race/ethnicity, first-generation immigrants were less likely to report having
experienced indirect forms of racism than second- and third- or greater generation
immigrants, while immigrant generation status was unassociated with reported direct
experiences with racism.
Baluran (2022) used qualitative data collected from 36, one-on-one intensive interviews
with Asian adults (ages 21–30) with at least one prior contact with the police. Using these
data, Baluran illustrated how racialization processes reproduce inequality not only within but
between existing monolithic racial–ethnic categories.
Finally, Wu et al. (2011, 2012, 2013) examined over 350 Chinese immigrants’ satisfaction
with police, the nature and impact of police contacts on satisfaction with the police and
perceptions of police bias using survey data collected in New York City, Philadelphia, and two
cities in Delaware. Wu et al. (2011) reported that (1) the majority of Chinese immigrants were
generally satisfied with the police who served their communities and gave high ratings for
officer demeanor, integrity and effectiveness; (2) immigrants viewed local police more
positively when they lived in neighborhoods with a high degree of collective efficacy and few
crime and disorder problems; (3) exposure to media reports of police misconduct significantly
reduced Chinese immigrants’ global satisfaction and specific evaluations of police
effectiveness, integrity and demeanor; and (4) compared to US-born immigrants, foreignborn Chinese immigrants displayed significantly lower levels of satisfaction with police
effectiveness and demeanor.
Wu et al. (2012) examined the frequency and nature of police contacts, the social
distribution of police contacts and the effects of direct and vicarious contacts with police on
global satisfaction with local police. Wu et al. (2012) reported that (1) in comparison to the
general public, Chinese immigrants had higher rates of contact with local police; (2) the
majority of Chinese immigrants’ contacts were police initiated, but their proportion was
smaller than that of African Americans, Hispanics and Asian/Pacific Islanders; (3) over onehalf of the immigrants had a police-initiated contact due to traffic law violations and/or traffic
accidents, a figure much higher than that reported in other studies; (4) significant correlates
for immigrants’ police-initiated contacts included age (older), gender (male) and vicarious
contacts with police via a family member, while age (older) and vicarious contact were the
only significant correlates of citizen-initiated police contact; and (5) whether Chinese
immigrants had recent voluntary or involuntary contact with police did not have any
significant impact on their global satisfaction with the police, but a significant positive link
was found between satisfaction with the recent contact and overall global satisfaction with
local police.
Finally, Wu et al. (2013) found that the majority of Chinese immigrants generally thought
highly of local police and trusted police to be honest and effective. However, Chinese
immigrants were also suspicious about equal police treatment of all groups, a finding that
reflects the complicated nature of the concept “public perceptions of the police.”
Vogel (2011) examined overall perceptions of local police measured as a six-item index
consisting of items relating to police officers being helpful, responding quickly, being
trustworthy, being respectful, being too tough on people (reverse coded) and being fair. The
index was assessed using survey data collected from more than 1,200 White, Black, Hispanic
and Asian residents living in four local police department designated divisions of a large
economically and ethnically diverse urban center in southern California. Vogel (2011)
reported that most respondents in this survey held the police in high regard but that race
(African American, Asian—of which 30% were of Cambodian ethnic descent) remained a
significant predictor of negative perceptions of police after controlling for contextual and
police contact variables.
Chu and Song (2015) used survey data collected from over 400 adult Chinese immigrants
residing in New York City and Toronto to compare immigrants’ attitudes toward police
efficacy and overall perceptions of police in both cities. The authors reported that in their
overall evaluations, Chinese immigrants in Toronto tended to hold more positive attitudes
toward police, had more respect for the police and were less likely to perceive police prejudice
than their counterparts in New York. There was no significant difference between the two
groups concerning police efficacy in dealing with crime and police providing adequate
protection. Immigrants in New York were more likely to perceive slow responses from the
police to their complaints than immigrants residing in Toronto.
Policy and practice recommendations
Among the 16 studies, eleven (68.7%) included policy and practice recommendations (Chu
and Song, 2015; De Trinidad Young et al., 2022; Greenleaf et al., 2008; Medina et al., 2022;
Mooney et al., 2018; Ozkan et al., 2016; Vogel, 2011; Wu et al., 2011, 2012, 2013; Yuan et al.,
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2022). In total, these studies provided 33 policy and practice recommendations of the
following types: law or agency-related policy (54.5%, n 5 18), community advocate-related
(6%, n 5 2), professional-related (36.4%, n 5 12) and others (3%, n 5 1).
Discussion
To identify the current status of research on the policing of Asian communities in the United
States, the current study systematically reviewed 16 studies published in English in refereed
journals, by scholars from US institutions, and contained in Criminal Justice Abstracts and
Scopus databases. Several patterns emerged from our review.
First, little research has been done on Asian immigrants’ perceptions of/relationships with
local police. Instead, most research on the relationships between police and members of
racialized or ethnic minority communities has focused on African Americans and more
recently, Latino/a/x communities. The exclusion of Asian communities from studies of the
policing of racialized/ethnic minority communities may be due to (1) the “model minority”
myth which assumes Asian Americans have been fully integrated into American society and
therefore no systematic issues relating to the policing of these communities exist and
therefore need studying and (2) only with the recent significant growth of Asian Americans
as a share of the total population have police scholars begun examining relationships
between the police and these communities.
Second, a majority of the studies reviewed were conducted using primary data collected
from locations almost exclusively found on the East and West coasts of the United States,
especially southern California (31.2% of the studies) and New York City (25% of the studies).
While true that California and New York rank among the states having 10% or more Asian
populations (Monte and Shin, 2022), there are also significant Asian populations (∼10%) in
the states of Florida, Hawaii, Illinois, Massachusetts, Texas, Virginia and Washington (US
Department of Health and Human Services Office of Minority Health, 2023) that could also be
studied and in doing so, significantly expand the existing knowledge base. Thus, the
geographic diversity of Asian communities has been largely ignored.
Most studies included in our review used primary data collected on samples of “Asians”
whose members’ ethnic origins went mostly unreported. This convention of grouping
members of different Asian subgroups into a single, larger group ignores the cultural,
geographic and political experiences of subgroup members and how these factors influence
police interactions with members of Asian communities. This issue is further exacerbated
when participants are asked to identify race and are only allowed to provide a single answer,
as well as when Hispanic ethnicity is offered as an option for a respondent’s “race.” To
illustrate, the 2020 US Census reported that over four million US respondents self-identified
as Asian in combination with another race; over a quarter of a million respondents selfreported as Asian and Hispanic. The lack of specificity as to the ethnicity of members of
“Asian” samples could be partially responsible for some of the inconsistent findings reported
across multiple studies investigating similar issues.
Further, most studies included in the current systematic review focused on Asian
residents (75%, n 5 12). Although four studies examined both Asian residents and the police,
the data used in those studies were secondary. In other words, no single study included in our
review examined Asian police officers’ experiences with and perceptions of Asian
communities or their experiences within police agencies. While the absolute number of
Asian police officers is admittedly small, it is nonetheless important to identify Asian officers’
within-group and in-community experiences to understand the policing of Asian racialized
and ethnic communities.
In addition, we found that one-half of the articles published in criminal justice/criminology
journals used and/or tested the tenets of at least one theory, while only two of six studies
published in other disciplines’ journals used/tested a theory. We also found eight of ten
articles published in criminal justice-related journals presented policy implications and
recommendations, while only one study (De Trinidad Young et al., 2022) published in a
different disciplinary journal did so. Future research, regardless of disciplinary origins,
should continue theory testing and include results-based policy implications/
recommendations.
Our review reveals significant knowledge gaps remain concerning the policing of Asian
communities. For example, conflicting evidence exists among the studies regarding the
“model minority” thesis and its impact on the assimilation of Asian immigrants into
American culture. Moreover, generational differences in attitudes toward/perceptions
relating to local police are reported in only a few of the studies we reviewed and thus
warrant further examination. Baluran (2022) raises the intriguing notion that racialization
processes reproduce inequality not only between but within existing monolithic racial–ethnic
categories, which should be subjected to further scrutiny and replication.
Our review also uncovered a major hurdle researchers face when trying to study the
policing of Asian communities in the United States: lack of available data. In practical terms,
this translates to difficulty with researchers using secondary data because it simply does not
exist. As an illustration, the percentage of agencies contributing to the National IncidentBased Reporting System (NIIBRS) in 2019 among the seven Deep South states included
Alabama (0%), Florida (N/A), Georgia (2%), Louisiana (16%), Mississippi (25%), South
Carolina (100%) and Texas (57%). The FBI’s hate crime statistics, in turn, are based on
NIBRS; the 2021 COVID-19 Hate Crimes Act now requires all agencies to report hate crime
incidents based on NIBRS. By December 2021, only Florida had contributed to the Summary
Reporting System (SRS), and Mississippi did not have a state program. South Carolina
requires NIBRS data only. In other words, Alabama, Georgina, Louisiana and Texas require
both SRS and NIBRS, but their contribution to the 2019 NIBRS was low. This lack of
secondary data may thus force researchers to collect primary data that pose its own set of
challenges including use of nonprobability samples of subjects or qualitative methods that
have implications for generalizability.
Limitations
Like all studies, ours has limitations that warrant identification and discussion. For example,
we limited our search to the contents of two databases. Had we included other databases, the
number of studies eligible for inclusion might have significantly expanded. The same would
be true if we had broadened the search to include research monographs or edited volumes,
studies not published in English and studies published outside of refereed journals (e.g.
research reports). As mentioned above, we did not include studies whose focus was on police
attitudes toward Asian communities. Including those studies would have nearly doubled our
sample and might have changed some of our findings. Finally, our article coding strategy was
less than exhaustive, which may limit generalizability of our findings.
Conclusion
As demographic shifts continue in the United States and lead to its population inevitably
becoming “majority minority,” examining how local police respond to and engage with Asian
racial and ethnic communities becomes an increasingly important scholarly undertaking.
Scholarly analyses of the impact that federal immigration policy and enforcement has on local
police and their interactions with Asian immigrants also warrants further study. Often, it
appears, Asian immigrants’ experiences with immigration officials significantly influence
their perceptions of the local police.
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Because American cities continue to attract Asian immigrants, their police departments
face crucial challenges involving language and cultural barriers that have to be overcome.
The go-to response to address these issues, and for a litany of conversations on community
policing, is to suggest agencies make a greater effort to hire officers who resemble members of
the community being policed or train officers to better engage with members of those
communities. As noted above, “Asian” does not represent a monolithic community with
settled upon collective ideas or standards. Improving police and “Asian” community relations
must instead be considered from more of an individualized perspective. Based upon our
findings, that nuance must also be incorporated into the way academics examine, identify
and conduct research in these communities. The policing of Asian communities involves
understanding not only immigration policies and their impact at the local level but
identifying and understanding the processes involved with the racialization of Asian
immigrants and the implications of those processes for local police.
Notes
1. According to Olson (2021, p. 1), in 1968, the pan-ethnic category “Asian American” was born when
Chinese and Japanese students at the University of California, Berkeley, created a collective term to
refer to student associations that could be used to help mobilize their political action. In 1977, the
category “Asian American” was incorporated into civil rights legislation as a component of the
“ethno-racial pentagon” through the Office of Management and Budget (OMB) Statistical Directive
No. 15 (see Kim, 2021).
2. We appreciate the contribution of a reviewer who highlighted an excellent source by Sun and Wu
(2018), which is related to the work being presented here, but could not be part of the systematic
review because it was a monograph.
3. While the decrease of 97% in the number of potentially included articles may seem problematic, there
are two important considerations to keep in mind. First, author affiliation was not necessarily an
indicator of the study’s focus: numerous studies that examined police in China, the United Kingdom
and other locales were included in the initial draw. Second, as we did not want to limit the outcome of
interest, we did not include any characteristics beyond race and police. However, numerous initially
included studies had no direct bearing on the topic of the police or police actions during which they
engaged members of Asian communities.
4. Fatal Encounters Dot Org (https://fatalencounters.org) is a comprehensive national database of people
who are injured or killed during interactions with police that began as a blog in 2015 by a former
newspaper editor and grew exponentially with the assistance of crowdsourcing, volunteer researchers,
paid researchers and others. As of early 2023, the dataset lists incidents from January 1, 2000 through
December 31, 2021 containing some 30,000 police encounters resulting in civilian injury or death.
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Corresponding author
John J. Sloan can be contacted at: prof@uab.edu
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