Chen, Y. orcid.org/0000-0002-7694-4441, Dang, Y. and Dong, G. (2020) An investigation of migrants’ residential satisfaction in Beijing. Urban Studies, 57 (3). pp. 563-582. ISSN 0042-0980
Abstract
Chinese cities have witnessed enormous neighbourhood changes as a result of housing reforms, rapid urban expansion and massive rural-to-urban migration. Migrants, without local hukou status, are confronted with many constraints in accessing urban housing. While previous studies have focused on migrants’ poor housing conditions, relatively little is known about their self-selection into different neighbourhood types, as well as their subjective evaluation of living environment in local areas. Drawing upon a large-scale questionnaire survey in Beijing in 2013, we examine the factors influencing migrants’ residential choices, in particular urban villages versus other neighbourhood types, in a multinomial logit model and the sources of residential satisfaction in a multilevel framework. The results show that migrants sort themselves into different neighbourhoods contingent on demographic and socio-economic factors, and express different levels of satisfaction after controlling for individual attributes and geographical context. Moreover, their self-selection significantly influences residential satisfaction.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Urban Studies Journal Limited. This is an author-produced version of a paper subsequently published in Urban Studies. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | residential satisfaction; migrants; China; self-selection; multi-level |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of East Asian Studies (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Mar 2019 11:00 |
Last Modified: | 07 Apr 2025 18:30 |
Status: | Published |
Publisher: | SAGE Publications |
Refereed: | Yes |
Identification Number: | 10.1177/0042098019836918 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143849 |