Dang, Y., Chen, Y. orcid.org/0000-0002-7694-4441 and Dong, G. (2019) Settlement intention of migrants in the Yangtze River Delta, China : the importance of city‐scale contextual effects. Population, Space and Place, 25 (8). e2270. ISSN 1544-8444
Abstract
Millions of Chinese migrants have moved from the countryside to cities to seek job opportunities and a better life. Under the policy shift from ‘land‐based urbanisation’ to ‘people‐oriented urbanisation’, it is important to understand what determines migrants' settlement intentions. Although previous studies have primarily focused on socio-demographic impacts on settlement intention, the role of city‐level contexts is understudied. Drawing upon data, the 2015 Migrant Dynamic Monitoring Survey in the Yangtze River Delta, this paper addresses this gap by examining the impact of contextual features in host cities, including population size, employment structure, wage levels and house prices on migrants' settlement intentions. We find that house prices are negatively associated with migrants' decision to settle, and wage levels have a positive effect on migrants with tertiary education. Cities with over 10 million residents or high administrative status are particularly attractive to migrants wishing to settle in urban environments.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2019 John Wiley & Sons, Ltd. This is an author-produced version of a paper subsequently published in Population, Space and Place. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | China; contextual effects; migrants; multilevel model; settlement intention |
Dates: |
|
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: | 28 Aug 2019 13:05 |
Last Modified: | 10 Dec 2021 11:39 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/psp.2270 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:150159 |