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Data · dataset · 2022

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

Listed in DANS Data Station Social Sciences and Humanities

Description

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.

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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.

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Where it is published

Catalogue records · 1

Topics

Stated by source
Arts and Humanities
From keywords
Humanities · Social Science
Inferred from text
Sociology 71%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
DANS Data Station Social Sciences and Humanitiesdoi:10.17026/DANS-22H-8ZW510 d agoJSON v1
FieldAssertionExtractorEvidence
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