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Residential environment and subjective well-being in Beijing: A fine-grained spatial scale analysis using a bivariate response binomial multilevel model
Dang, Yunxiao1; Dong, Guanpeng2; Chen, Yu3; Jones, Kelvyn4; Zhang, Wenzhong5
2019-05-01
Source PublicationENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
ISSN2399-8083
Volume46Issue:4Pages:648-667
Corresponding AuthorDong, Guanpeng(guanpeng.dong@liverpool.ac.uk)
AbstractExisting 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.
KeywordSubjective well-being residential environment neighbourhood types hukou status multilevel model
DOI10.1177/2399808317723012
WOS KeywordURBAN VILLAGES ; CHINA ; HAPPINESS ; SATISFACTION ; LAND ; SETTLEMENTS ; BEHAVIORS ; GEOGRAPHY ; MARKETS ; PEOPLE
Indexed BySCI
Language英语
Funding ProjectBeijing Natural Science Foundation[9164027] ; National Natural Science Foundation of China[41230632]
Funding OrganizationBeijing Natural Science Foundation ; National Natural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology ; Geography ; Public Administration ; Urban Studies
WOS SubjectEnvironmental Studies ; Geography ; Regional & Urban Planning ; Urban Studies
WOS IDWOS:000470857200004
PublisherSAGE PUBLICATIONS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/58832
Collection中国科学院地理科学与资源研究所
Corresponding AuthorDong, Guanpeng
Affiliation1.Zhejiang Univ Finance & Econ, Dept Land Management & Urban Rural Dev, Human Geog, Hangzhou, Zhejiang, Peoples R China
2.Univ Liverpool, Dept Geog & Planning, Geog Data Sci, Liverpool, Merseyside, England
3.Univ Sheffield, Sch East Asian Studies, Chinese Studies, Sheffield, S Yorkshire, England
4.Univ Bristol, Sch Geog Sci, Human Quantitat Geog, Bristol, Avon, England
5.Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Dang, Yunxiao,Dong, Guanpeng,Chen, Yu,et al. Residential environment and subjective well-being in Beijing: A fine-grained spatial scale analysis using a bivariate response binomial multilevel model[J]. ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE,2019,46(4):648-667.
APA Dang, Yunxiao,Dong, Guanpeng,Chen, Yu,Jones, Kelvyn,&Zhang, Wenzhong.(2019).Residential environment and subjective well-being in Beijing: A fine-grained spatial scale analysis using a bivariate response binomial multilevel model.ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE,46(4),648-667.
MLA Dang, Yunxiao,et al."Residential environment and subjective well-being in Beijing: A fine-grained spatial scale analysis using a bivariate response binomial multilevel model".ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE 46.4(2019):648-667.
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