邻里(数学)
社区意识
地方感
贵族化
社会学
社会排斥
北京
移民
民族
特权(计算)
地理
人口经济学
人口
经济地理学
社会经济学
经济增长
政治学
人口学
中国
社会科学
数学分析
经济
考古
法学
数学
人类学
作者
Siyao Liu,Fangzhu Zhang,Fulong Wu
出处
期刊:Cities
[Elsevier BV]
日期:2021-10-28
卷期号:120: 103499-103499
被引量:42
标识
DOI:10.1016/j.cities.2021.103499
摘要
The existing literature on migrants' place attachment tends to focus on neighbourhoods. Migrants' sense of belonging to the host city may vary in different residential neighbourhoods. Utilising a survey of selected peri-urban neighbourhoods in Beijing, this paper reveals that migrants with similar socio-economic attributes are grouped in their neighbourhoods. It also demonstrates a spatial dimension of migrants' sense of belonging to the host city. Such variation is created not only by the socio-economic achievement, institutional attainment and social networks; but also because these neighbourhoods are distinctive residential environments for different pathways of social integration. This research contributes to the theoretical debate on the (im)migrant enclave and mixed neighbourhood. Qualitative analysis shows that a low sense of belonging is not necessarily a result of homogenous tenure and residential population, but of living with uncertainty, exclusion from the formal urban economy, and a poor neighbourhood environment. The findings also support the positive role of the social-ethnic mix and tenure heterogeneity in terms of reduced stigmatisation and a sense of privilege and privacy in mixed neighbourhoods. • This paper explores migrants' sense of belonging to the city and its determinants from a neighbourhood perspective. • Migrants with similar socioeconomic attributes are grouped in their neighbourhoods. • Through the lens of neighbourhood, we demonstrate a spatial dimension of migrants' sense of belonging to the host city. • A low sense of belonging results from uncertainty, exclusion from the formaleconomy, and a poor neighbourhood environment. • Social-ethnic mix and tenure heterogeneity reduce stigmatisation, and provide a sense of privilege and privacy.
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