A spatial multilevel analysis of the impacts of housing conditions on county-level life expectancy at birth in China
文献类型:期刊论文
作者 | Gu, Lijuan1; Rosenberg, Mark2; Yang, Linsheng1,3; Yu, Jiangping1; Wei, Binggan1 |
刊名 | APPLIED GEOGRAPHY
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出版日期 | 2020-11-01 |
卷号 | 124页码:11 |
关键词 | Housing conditions Life expectancy at birth Spatial multilevel model County China |
ISSN号 | 0143-6228 |
DOI | 10.1016/j.apgeog.2020.102311 |
通讯作者 | Wei, Binggan(weibg@igsnrr.ac.cn) |
英文摘要 | Housing and health studies rarely concentrate on aggregate health indicators. There is a need for more research to disentangle the complexity within housing types and between housing and socioeconomic development as they influence health. To enhance the evidence base for the understanding of the association between housing and health, from a geographic perspective, we applied spatial multilevel analyses to census and statistical yearbook data of China to investigate what and how housing conditions were associated with life expectancy at birth (LEB). The results found significant spatial auto-correlation of LEB across nearby counties and significant spatial clustering of LEB across provinces. Spatial multilevel models fit the data better than regular regression models. Housing conditions, including housing tenure and internal housing quality, were significantly associated with LEB independent of socioeconomic factors. Compared to access to clean energy and tap water, where the associations with LEB were conditional on housing tenure, having a washroom inside the house, crowding and housing tenure were robustly related to LEB. The associations between internal housing quality and LEB were confounded by housing tenure. The coefficients of housing facilities decreased or became insignificant and the coefficients of crowding increased after housing tenure was considered. Housing tenure might be one of the mediators of the economy to indirectly impact LEB, and an independent social indicator which might affect LEB directly. The associations between housing conditions and LEB were stronger in counties situated in lessdeveloped provinces. These findings indicate that, to narrow regional gaps in life expectancy, improving the housing facilities in the least developed regions should be a priority. With rapid urbanization and the vast migration, ensuring urban dwellers have access to houses and reducing housing congestion should be the primary policy concerns all over China, but especially in the less-developed regions. |
WOS关键词 | PREDICT HEALTH ; INCOME ; TENURE ; HOME ; INEQUALITIES ; MODEL |
资助项目 | Youth Program of National Natural Science Foundation of China[41901179] ; Chinese Academy of Sciences Special Program[GHJ-ZLZX-2018-14] ; China Postdoctoral Science Foundation[2018M640171] |
WOS研究方向 | Geography |
语种 | 英语 |
WOS记录号 | WOS:000581746100003 |
出版者 | ELSEVIER SCI LTD |
资助机构 | Youth Program of National Natural Science Foundation of China ; Chinese Academy of Sciences Special Program ; China Postdoctoral Science Foundation |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/156785] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Wei, Binggan |
作者单位 | 1.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Queens Univ, Dept Geog & Planning, Kingston, ON, Canada 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Gu, Lijuan,Rosenberg, Mark,Yang, Linsheng,et al. A spatial multilevel analysis of the impacts of housing conditions on county-level life expectancy at birth in China[J]. APPLIED GEOGRAPHY,2020,124:11. |
APA | Gu, Lijuan,Rosenberg, Mark,Yang, Linsheng,Yu, Jiangping,&Wei, Binggan.(2020).A spatial multilevel analysis of the impacts of housing conditions on county-level life expectancy at birth in China.APPLIED GEOGRAPHY,124,11. |
MLA | Gu, Lijuan,et al."A spatial multilevel analysis of the impacts of housing conditions on county-level life expectancy at birth in China".APPLIED GEOGRAPHY 124(2020):11. |
入库方式: OAI收割
来源:地理科学与资源研究所
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