Economic Development and Social Integration of Migrants in China
| Published date | 01 January 2024 |
| Author | Guangjun Shen,Chuanchuan Zhang |
| Date | 01 January 2024 |
| DOI | http://doi.org/10.1111/cwe.12514 |
©2024 Institute of World Economics and Politics, Chinese Academy of Social Sciences
China & World Economy / 1–20, Vol. 32, No. 1, 2024
1
Economic Development and Social Integration of
Migrants in China
Guangjun Shen, Chuanchuan Zhang*
Abstract
Migrants often face challenges in social integration. Using a nationally representative
sample of migrant workers and employing the epidemiological approach, this paper
examines the determinants of social integration. It finds that, conditional on a set of
individual features, the migrants from less-developed provinces have greater difficulty
in integrating into local communities. These results still demonstrate robustness across
alternative variables, samples, and various specifications. Mechanism analysis shows
that educational and employment factors account for over 40 percent of the variance
in social integration levels, suggesting their significant influence. Additionally, the
analysis suggests that native bias against migrants, along with misunderstandings
between them, may account for part of the remaining variation in social integration
levels. Importantly, the ability to speak local dialects has been identified as a crucial
factor that can significantly improve migrants’ subjective experience of integrating into
a new city. By identifying one specific cause of social integration, this paper provides
information to individuals and governments and assists them to improve social
integration.
Keywords: economic development, epidemiologic approach, migrant, social integration
JEL codes: I31, J61, J71, Z10
I. Introduction
Social integration, defined as the process through which newcomers or minorities
become part of the social structure of the host society, represents a major dimensions
of experiences of newcomers within the society that receives them (Orum and Chen,
2003; Park and Burgess, 2019). Social development benefits from social integration
because social integration contributes to reduced social distance, improves social
*Guangjun Shen, Associate Professor, Lingnan College, Sun Yat-sen University, China. Email: shengj6@
mail.sysu.edu.cn; Chuanchuan Zhang (corresponding author), School of Economics and Institute for Fiscal
Big Data and Policy, Zhejiang University, China. Email: ccz.zhang@gmail.com. The authors are grateful for
support from the Research Program of Humanities and Social Sciences of the Ministry of Education of China
(No. 22YJA790083).
© 2024 The Author(s). China & World Economy published by John Wiley & Sons Australia,
Ltd on behalf of Institute of World Economics and Politics, Chinese Academy of Social Sciences.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License,
which permits use and distribution in any medium, provided the original work is properly cited,
the use is non-commercial and no modifications or adaptations are made.
[Correction added on 10 February 2025, after first online publication: The copyright line was changed.]
Guangjun Shen, Chuanchuan Zhang / 1–20, Vol. 32, No. 1, 2024
©2024 Institute of World Economics and Politics, Chinese Academy of Social Sciences
2
trust, and eliminates segregation. Social integration also reduces the welfare gap and
social conflicts among residents with different identities, which helps to promote
the urbanization process and economic growth by accelerating capital accumulation
in urban sectors (Liu et al., 2010). It is therefore important to understand social
integration.
Social integration is an important topic in China. The Seventh National Population
Census shows that there were 376 million migrant workers in China in 2020. The
migrants accounted for over 70 percent of the total population in cities such as Shenzhen
and Dongguan, and the size of the migrant population in Shenzhen and Shanghai
exceeded 10 million in 2020. However, China is vast in territory and its population is
ODUJHVRWKHUHDUHVLJQL¿FDQWGL൵HUHQFHVLQFXOWXUHOLIHVW\OHVRFLDOQRUPVDQGHFRQRPLF
development across regions. As a result, misunderstandings and bias arise and hinder
social integration to some extent.
Using data from the China Migrants Dynamic Survey (CMDS), this paper explores
the determinants of social integration in China from the perspective of economic
development. The migrant workers who work outside their home towns are the main
beneficiaries of social integration. Otherwise, they would be at a disadvantage in
employment, income, social security, and many other aspects (Wang et al., 2009).
Using data on the migrants also makes it possible for us to use the epidemiological
DSSURDFKZKLFKFRXOG VHSDUDWHWKHH൵HFWRI WKHPLJUDQWV¶KRPHWRZQVIURP WKHH൵HFW
of the cities in which they currently live.
We find evidence that the “birthplace effect,” i.e., the economic development
RIWKH PLJUDQWV¶KRPHWRZQV KDVSRVLWLYH HIIHFWVRQ WKHLUVRFLDO LQWHJUDWLRQLQ WKH
cities in which they currently live. In other words, the migrants from provinces with
lower per capita GDP have greater difficulty integrating into local communities.
They also earn significantly less than their counterparts from provinces with higher
*'3SHU FDSLWD7KLVPHDQV WKDW HFRQRPLFGHYHORSPHQW LQWKH PLJUDQWV¶KRPHWRZQV
D൵HFWV VRFLDO LQWHJUDWLRQ:HXVHDOWHUQDWLYH GH¿QLWLRQVRI NH\YDULDEOHV DQGYDULRXV
subsamples to implement robustness checks and exclude some competing hypotheses.
Although education and employment account for a considerable proportion of the
gaps in social integration and wages between migrants from different provinces,
nearly 60 percent of these gaps cannot be explained by observable individual and
household characteristics. To accelerate social integration, the migrants should
be capable of understanding and speaking the dialects of their current cities of
residence.
This study is related to three strands of literature. First, it enriches economic
theory about internal migration. In China, internal migration, especially
© 2024 The Author(s). China & World Economy published by John Wiley & Sons Australia,
Ltd on behalf of Institute of World Economics and Politics, Chinese Academy of Social Sciences.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License,
which permits use and distribution in any medium, provided the original work is properly cited,
the use is non-commercial and no modifications or adaptations are made.
Get this document and AI-powered insights with a free trial of vLex and Vincent AI
Get Started for FreeUnlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations