"How does home ownership affect migrants’ sense of relative deprivation? An investigation based on field theory"

DOI

Background: China is continuing to witness rising numbers of migrants (e.g., individuals migrating from rural tourban areas), and alongside this are the social restrictions and institutional barriers migrants face. Such restrictions and barriers are a consequence of the long-standing urban-rural dualist system and can create a sense ofrelative deprivation among migrants—that is, dissatisfaction when migrants perceive they are at a disadvantagecompared with local residents of an area.Objective and method: Based on Pierre Bourdieu’s field theory, the current study used data from the 2017 ChineseGeneral Social Survey (N = 1849) to explore the mechanism through which migrants’ home ownership or nonownership in the migration process affects their sense of relative deprivation. To do so, a ranked regression andparallel multiple mediation model were developed. Additionally, a heterogeneity analysis was conducted toaccount for the region in which migrants lived and their age.Results: The results revealed that home ownership significantly reduced migrants’ relative deprivation. Moreover,the perception of economic and symbolic capital was found to play a role in the effects of wealth and class,respectively. From the heterogeneity analysis, the direct and mediated effects of housing attributes on migrants’relative deprivation were more significant for migrants in the eastern versus central and western regions ofChina, as well as among new-versus older-generation migrants.Conclusion: To improve the feasibility of home ownership among migrants and, thus, alleviate their relativedeprivation in the inflow area, relevant policies (e.g., improving the housing system pathway) should bedeveloped and implemented.

Identifier
DOI https://doi.org/10.17026/dans-22h-8zw5
Metadata Access https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-22h-8zw5
Provenance
Creator LIU DC Danchen Liu; SHEN SY Suyan Shen; R.S Ruth Shillair; LI F Fang Li; CHEN Z zhe Chen
Publisher DANS Data Station Social Sciences and Humanities
Contributor 皎露 王
Publication Year 2022
Rights DANS Licence; info:eu-repo/semantics/openAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess true
Contact 皎露 王 (南京农业大学)
Representation
Resource Type Dataset
Format application/pdf; application/zip
Size 2164319; 18264
Version 1.0
Discipline Humanities