Fan Zhang, Liyue Lin, Tingting Li, Yu Zhu, Wenqian Ke
{"title":"Determinants of Homeownership Rates among Migrants: Changes in the Process of Mobility Transition in China","authors":"Fan Zhang, Liyue Lin, Tingting Li, Yu Zhu, Wenqian Ke","doi":"10.1007/s12061-026-10013-2","DOIUrl":null,"url":null,"abstract":"<div><p>Homeownership rates among migrants in China have grown rapidly in recent years, driven by diversified migration and policy development. However, how homeownership rates change under the ongoing mobility transition remains insufficiently understood. This study addresses this gap using data from the 2011 and 2017 China Migrants Dynamic Survey. Employing the Fairlie non-linear decomposition method, we examine migrants with varied socioeconomic characteristics and migration patterns to identify the factors associated with homeownership rates. Results show that the homeownership rates among migrants in their destination cities more than doubled during this period, increasing from 8.97% to 19.41%. Higher household income and education, longer residence, family-oriented migration, willingness to integrate, nonagricultural <i>hukou</i>, and public sector employment are positively associated with homeownership, while migrants in provincial capitals or municipalities are less likely to own housing. Decomposition results further indicate that family-oriented, long-term migration, and improvements in migrants’ socioeconomic status make the largest contributions, highlighting the growing importance of mobility transition. These results will advance our theoretical understanding of the migration-housing nexus in transitional societies, with policy implications for integrating migrants into urban housing markets.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"19 4","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-026-10013-2","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Homeownership rates among migrants in China have grown rapidly in recent years, driven by diversified migration and policy development. However, how homeownership rates change under the ongoing mobility transition remains insufficiently understood. This study addresses this gap using data from the 2011 and 2017 China Migrants Dynamic Survey. Employing the Fairlie non-linear decomposition method, we examine migrants with varied socioeconomic characteristics and migration patterns to identify the factors associated with homeownership rates. Results show that the homeownership rates among migrants in their destination cities more than doubled during this period, increasing from 8.97% to 19.41%. Higher household income and education, longer residence, family-oriented migration, willingness to integrate, nonagricultural hukou, and public sector employment are positively associated with homeownership, while migrants in provincial capitals or municipalities are less likely to own housing. Decomposition results further indicate that family-oriented, long-term migration, and improvements in migrants’ socioeconomic status make the largest contributions, highlighting the growing importance of mobility transition. These results will advance our theoretical understanding of the migration-housing nexus in transitional societies, with policy implications for integrating migrants into urban housing markets.
期刊介绍:
Description
The journal has an applied focus: it actively promotes the importance of geographical research in real world settings
It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics
The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments
The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace.
RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts
Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.
FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.
Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.