Residential environment and subjective well-being in Beijing: A fine-grained spatial scale analysis using a bivariate response binomial multilevel model



Dang, Yunxiao, Dong, Guanpeng ORCID: 0000-0003-0949-1304, Chen, Yu, Jones, Kelvyn and 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). pp. 648-667.

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Abstract

<jats:p> 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. </jats:p>

Item Type: Article
Uncontrolled Keywords: Subjective well-being, residential environment, neighbourhood types, hukou status, multilevel model
Depositing User: Symplectic Admin
Date Deposited: 29 Jan 2018 08:27
Last Modified: 19 Jan 2023 06:42
DOI: 10.1177/2399808317723012
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3016934