中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatial heterogeneity of human lifespan in relation to living environment and socio-economic polarization: a case study in the Beijing-Tianjin-Hebei region, China

文献类型:期刊论文

作者Wei, Changhe1,2; Lei, Mei1,2; Wang, Shaobin1,2
刊名ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
出版日期2022-01-27
页码18
ISSN号0944-1344
关键词Population lifespan Spatial heterogeneity Influencing factors Development imbalance Beijing-Tianjin-Hebei region
DOI10.1007/s11356-022-18702-4
通讯作者Lei, Mei(leim@igsnrr.ac.cn) ; Wang, Shaobin(wangshaobin@igsnrr.ac.cn)
英文摘要The spatial heterogeneity and influence factors of public lifespan have been reported worldwide at the national level or typical longevous areas. However, few sub-national studies considering the living environment and socio-economic level together have been explored in the imbalanced developed region with a huge population base and deteriorated air quality. In this paper, spatial heterogeneity of lifespan integrating environment and socio-economic influence factors was investigated in the Beijing-Tianjin-Hebei (BTH) region of China using geographically weighted regression (GWR). Five indicators were constructed to determine the lifespan based on the three national censuses (1990-2010) in the BTH region. The results showed that the areas with higher CH (centenarians per 100,000 inhabitants) and centenarity index (CI) exhibited changing distribution in the BTH region, whereas those with lower CH and CI and extreme value of the ultra-octogenarian index (UOI) and LI (> 90/> 65) maintained a relatively stable feature through time. But as lifespan indicators increase overall, the differences between the counties/districts widen. Furthermore, remarkable spatial heterogeneity was detected for the associations between the significant environmental and socio-economic variables and lifespan indicators. Although the natural geographic condition (altitude) still exhibited a negative influence on the longevity of the population, the socio-economic factors (GDP(pc) and income level) showed a more dominant influence on the extension of the elderly and longevity population. Correspondingly, the widened unbalance of population lifespan (UOI, LI, CH) was considered closely related to the socio-economic polarization, and the adverse effects of air pollution on life expectancy at birth (LEB) have also emerged. To further improve the overall lifespan level and narrow the lifespan gap in the BTH region, future work on cleaner air and more balanced development is still needed.
WOS关键词GEOGRAPHICALLY WEIGHTED REGRESSION ; PARTICULATE AIR-POLLUTION ; EXTREME LONGEVITY ; EXPECTANCY ; INDICATORS ; MORTALITY ; HEALTH ; CENTENARIANS ; LEVEL ; MODEL
资助项目National Key Research and Development Program of China[,2018YFC1800106] ; Chinese Academy of Sciences (CAS) Scholarship
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者SPRINGER HEIDELBERG
WOS记录号WOS:000749091900006
资助机构National Key Research and Development Program of China ; Chinese Academy of Sciences (CAS) Scholarship
源URL[http://ir.igsnrr.ac.cn/handle/311030/170092]  
专题中国科学院地理科学与资源研究所
通讯作者Lei, Mei; Wang, Shaobin
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Wei, Changhe,Lei, Mei,Wang, Shaobin. Spatial heterogeneity of human lifespan in relation to living environment and socio-economic polarization: a case study in the Beijing-Tianjin-Hebei region, China[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2022:18.
APA Wei, Changhe,Lei, Mei,&Wang, Shaobin.(2022).Spatial heterogeneity of human lifespan in relation to living environment and socio-economic polarization: a case study in the Beijing-Tianjin-Hebei region, China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,18.
MLA Wei, Changhe,et al."Spatial heterogeneity of human lifespan in relation to living environment and socio-economic polarization: a case study in the Beijing-Tianjin-Hebei region, China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022):18.

入库方式: OAI收割

来源:地理科学与资源研究所

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