How urban population change elicits prejudice toward migrant workers in China: The mediating roles of status, entitativity, and symbolic threats

Abstract With the rapid urbanization in China, millions of people have moved from rural regions to cities as migrant workers, where many of them face various discrimination and ill treatment. Meanwhile, the increasing number of migrants in cities might render indigenous urban residents the future numerical minority. Drawing on social identity theory, uncertainty‐identity theory, and intergroup threat theory, I hypothesized that such urban population changes in China could elevate prejudice toward rural‐to‐urban migrant workers by eliciting status threat, entitativity threat, realistic threat, and symbolic threat to urban residents. Three experiments ( N total = 1327) conducted in Shanghai partially supported the hypotheses. Study 1 showed that Shanghai urban residents reminded of urban population changes (vs. irrelevant information) reported greater prejudice toward migrant workers. Studies 2 (registered analyses) and 3 (registered report) showed that urban population change had parallel indirect effects on increased prejudice toward migrant workers through status threat, entitativity threat, and symbolic threat. Study 3 additionally demonstrated that status threat and symbolic threat parallelly mediated the effects of urban population change on reduced support for policies benefiting migrant workers. This work sheds new light on how urban demographic change fosters prejudice toward internal migrants in China and has important implications for developing policies to mitigate such prejudice and enhance intergroup relations between urban residents and migrants.

Authors

Institutions

Publication Details

Journal
Analyses of Social Issues and Public Policy
Published
2026-10-28
DOI
https://doi.org/10.1111/asap.70092
Primary Topic
Social and Intergroup Psychology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How urban population change elicits prejudice toward migrant workers in China: The mediating roles of status, entitativity, and symbolic threats

Xiang Ao
Analyses of Social Issues and Public Policy
Social and Intergroup Psychology
article

How urban population change elicits prejudice toward migrant workers in China: The mediating roles of status, entitativity, and symbolic threats

Xiang Ao
article en

Abstract

Abstract With the rapid urbanization in China, millions of people have moved from rural regions to cities as migrant workers, where many of them face various discrimination and ill treatment. Meanwhile, the increasing number of migrants in cities might render indigenous urban residents the future numerical minority. Drawing on social identity theory, uncertainty‐identity theory, and intergroup threat theory, I hypothesized that such urban population changes in China could elevate prejudice toward rural‐to‐urban migrant workers by eliciting status threat, entitativity threat, realistic threat, and symbolic threat to urban residents. Three experiments ( N total = 1327) conducted in Shanghai partially supported the hypotheses. Study 1 showed that Shanghai urban residents reminded of urban population changes (vs. irrelevant information) reported greater prejudice toward migrant workers. Studies 2 (registered analyses) and 3 (registered report) showed that urban population change had parallel indirect effects on increased prejudice toward migrant workers through status threat, entitativity threat, and symbolic threat. Study 3 additionally demonstrated that status threat and symbolic threat parallelly mediated the effects of urban population change on reduced support for policies benefiting migrant workers. This work sheds new light on how urban demographic change fosters prejudice toward internal migrants in China and has important implications for developing policies to mitigate such prejudice and enhance intergroup relations between urban residents and migrants.

Analyses of Social Issues and Public PolicyVol. 26(3)
Adams State University (US)
Openalex Percentile: Top 6%
Social and Intergroup Psychology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon