Residential environment and subjective well-being in Beijing: A fine-grained spatial scale analysis using a bivariate response binomial multilevel model (Record no. 11622)

MARC details
000 -LEADER
fixed length control field 02338nab a2200277 4500
005 - DATE & TIME
control field 20210412130022.0
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100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Dang, Yunxiao
245 ## - TITLE STATEMENT
Title Residential environment and subjective well-being in Beijing: A fine-grained spatial scale analysis using a bivariate response binomial multilevel model
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Sage,
Date of publication, distribution, etc 2019.
300 ## - PHYSICAL DESCRIPTION
Pages Vol 46, Issue 4, 2019,(648-667 p.)
520 ## - SUMMARY, ETC.
Summary, etc Existing literature has examined the determinants of subjective well-being in China from the social, economic and psychological perspectives. Very few studies explore the impacts of residential environment on subjective well-being. Drawing on a large scale questionnaire survey in Beijing, this paper investigates the role of residential environment by decomposing the variations of subjective well-being at fine-grained spatial scales, i.e. district and neighbourhood levels. A bivariate response binomial multilevel model is employed to assess the relative importance of geographical contexts and individual characteristics, in particular, the household registration (hukou) status, in influencing subjective well-being. The results show significant heterogeneities in subjective well-being among districts and neighbourhoods. Neighbourhood types are significantly correlated with subjective well-being, with residents in commercial housing neighbourhoods reporting higher levels of subjective well-being than those in work-unit and affordable housing neighbourhoods. However, the impacts of neighbourhood types are not uniformly experienced by people with different hukou status. Migrants tend to express lower levels of subjective well-being than local residents. Such disparities are more pronounced in urban villages compared with other neighbourhoods.
650 ## - Subject
Subject Subjective well-being,
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Subject residential environment,
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Subject neighbourhood types,
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Subject hukou status,
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Subject multilevel model
700 ## - Added Entry Personal Name
Added Entry Personal Name Dong, Guanpeng
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Added Entry Personal Name Chen, Yu
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Added Entry Personal Name Jones, Kelvyn
700 ## - Added Entry Personal Name
Added Entry Personal Name Zhang, Wenzhong
773 0# - HOST ITEM ENTRY
Host Biblionumber 11590
Host Itemnumber 15512
Place, publisher, and date of publication Sage 2019.
Title Environment and Planning B: Urban Analytics and City Science
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Koha item type Articles
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-- 45758
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-- 40110
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-- 33784
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-- 32054
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