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How do city-specific factors affect migrant integration in China? A study based on a hierarchical linear model of migrants and cities

BACKGROUND: Previous studies indicate that migrant integration is associated with migrants’ characteristics as well as restrictions and opportunities in receiving cities. However, the effect of receiving cities and the relationship between migrants and receiving cities have not been fully explored d...

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Autores principales: Zheng, Rumin, Mei, Lin, Guo, Yanhua, Zhen, Shuo, Fu, Zhanhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7802925/
https://www.ncbi.nlm.nih.gov/pubmed/33434217
http://dx.doi.org/10.1371/journal.pone.0244665
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author Zheng, Rumin
Mei, Lin
Guo, Yanhua
Zhen, Shuo
Fu, Zhanhui
author_facet Zheng, Rumin
Mei, Lin
Guo, Yanhua
Zhen, Shuo
Fu, Zhanhui
author_sort Zheng, Rumin
collection PubMed
description BACKGROUND: Previous studies indicate that migrant integration is associated with migrants’ characteristics as well as restrictions and opportunities in receiving cities. However, the effect of receiving cities and the relationship between migrants and receiving cities have not been fully explored due to the lack of large samples from cities. The objective of this study is to examine the effects of receiving cities alone and their regulating role in the interaction with individual characteristics. METHODS: Cross-city data on 154,044 Chinese domestic migrants above 15 years old in 289 cities from the 2017 China Migrants Dynamic Survey are used. Migrant integration is assessed by a four-dimensional model proposed by Esser, which is slightly adjusted according to the characteristics of Chinese migrants. A hierarchical linear model is used to measure the proportion of effects of city factors in migrant integration as well as the effects when city factors are considered alone and in interaction with individual factors. RESULTS: The individual-level and city-level factors are responsible for 69.81% and 30.19% of the effect on migrant integration, respectively. City political factors do not affect migrant integration directly, and cities with larger sizes and higher wages can directly and significantly improve integration, while higher housing prices will directly inhibit integration. From the cross-level interaction of city and individual, different social, economic and political factors at the city level have an indirect impact on migrant integration by inhibiting or strengthening the effect of individual-level factors on migrant integration. CONCLUSION: This study is one of the first to show the effect of cities and the relationship between receiving cities and migrants on migrant integration by keeping the national context constant. It is necessary to weaken the social and economic privileges associated with a city’s administrative level and reduce the negative impact of cities’ social and economic conditions by implementing city agglomeration, developing advantageous industries and optimizing the industrial structure. It is also essential to improve migrants’ socioeconomic capital through social support, occupation training and contiguous education.
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spelling pubmed-78029252021-01-22 How do city-specific factors affect migrant integration in China? A study based on a hierarchical linear model of migrants and cities Zheng, Rumin Mei, Lin Guo, Yanhua Zhen, Shuo Fu, Zhanhui PLoS One Research Article BACKGROUND: Previous studies indicate that migrant integration is associated with migrants’ characteristics as well as restrictions and opportunities in receiving cities. However, the effect of receiving cities and the relationship between migrants and receiving cities have not been fully explored due to the lack of large samples from cities. The objective of this study is to examine the effects of receiving cities alone and their regulating role in the interaction with individual characteristics. METHODS: Cross-city data on 154,044 Chinese domestic migrants above 15 years old in 289 cities from the 2017 China Migrants Dynamic Survey are used. Migrant integration is assessed by a four-dimensional model proposed by Esser, which is slightly adjusted according to the characteristics of Chinese migrants. A hierarchical linear model is used to measure the proportion of effects of city factors in migrant integration as well as the effects when city factors are considered alone and in interaction with individual factors. RESULTS: The individual-level and city-level factors are responsible for 69.81% and 30.19% of the effect on migrant integration, respectively. City political factors do not affect migrant integration directly, and cities with larger sizes and higher wages can directly and significantly improve integration, while higher housing prices will directly inhibit integration. From the cross-level interaction of city and individual, different social, economic and political factors at the city level have an indirect impact on migrant integration by inhibiting or strengthening the effect of individual-level factors on migrant integration. CONCLUSION: This study is one of the first to show the effect of cities and the relationship between receiving cities and migrants on migrant integration by keeping the national context constant. It is necessary to weaken the social and economic privileges associated with a city’s administrative level and reduce the negative impact of cities’ social and economic conditions by implementing city agglomeration, developing advantageous industries and optimizing the industrial structure. It is also essential to improve migrants’ socioeconomic capital through social support, occupation training and contiguous education. Public Library of Science 2021-01-12 /pmc/articles/PMC7802925/ /pubmed/33434217 http://dx.doi.org/10.1371/journal.pone.0244665 Text en © 2021 Zheng et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zheng, Rumin
Mei, Lin
Guo, Yanhua
Zhen, Shuo
Fu, Zhanhui
How do city-specific factors affect migrant integration in China? A study based on a hierarchical linear model of migrants and cities
title How do city-specific factors affect migrant integration in China? A study based on a hierarchical linear model of migrants and cities
title_full How do city-specific factors affect migrant integration in China? A study based on a hierarchical linear model of migrants and cities
title_fullStr How do city-specific factors affect migrant integration in China? A study based on a hierarchical linear model of migrants and cities
title_full_unstemmed How do city-specific factors affect migrant integration in China? A study based on a hierarchical linear model of migrants and cities
title_short How do city-specific factors affect migrant integration in China? A study based on a hierarchical linear model of migrants and cities
title_sort how do city-specific factors affect migrant integration in china? a study based on a hierarchical linear model of migrants and cities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7802925/
https://www.ncbi.nlm.nih.gov/pubmed/33434217
http://dx.doi.org/10.1371/journal.pone.0244665
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