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Spatial variations and macroeconomic determinants of life expectancy and mortality rate in China: a county-level study based on spatial analysis models
Wang, Shaobin1; Ren, Zhoupeng1,2
2019-06-01
Source PublicationINTERNATIONAL JOURNAL OF PUBLIC HEALTH
ISSN1661-8556
Volume64Issue:5Pages:773-783
Corresponding AuthorWang, Shaobin(wangshaobin@igsnrr.ac.cn)
AbstractObjectivesThe life expectancy and mortality rate always exhibit remarkable spatial variations. Their spatial distribution patterns and economic determinants in China were explored.MethodsFour indexes including lifespan expectancy at birth (LEB), infant mortality rate (IMR), under-5 mortality rate (U5MR) and crude mortality rate (CMR) at county level in China were calculated. The spatial distribution patterns of these indexes were illustrated. Meanwhile, spatial regressive model was applied to explore the relations between major macroeconomic determinants and these indexes.ResultsSpatial dependence of these four indexes in China was identified, and the positive spatial autocorrelation indicated a clustering feature rather than stochastic distribution. Additionally, local Moran's I statistics revealed opposite local spatial clusters of LEB and IMR, U5MR in China, that LEB showed that high value clusters in the southwest and low value clusters in the eastern part and northern Xinjiang, and IMR/U5MR exhibited that low value clusters in the east and high value clusters in the west. The spatial regression revealed that income per capita influenced positively on LEB and CMR, and GDP per capita was associated positively with IMR and U5MR.ConclusionsGeographical factors should be highly considered, and the L-L LEB or H-H IMR/U5MR clustered areas need to be integrated as a whole to formulate public health and economic development plans.
KeywordLife expectancy at birth Infant and childhood mortality rate Spatial distribution patterns Macroeconomic determinants China
DOI10.1007/s00038-019-01251-y
WOS KeywordINFANT-MORTALITY ; GLOBAL BURDEN ; SYSTEMATIC ANALYSIS ; INCOME INEQUALITY ; CHILD-MORTALITY ; UNDER-5 MORTALITY ; ECONOMIC-GROWTH ; DISEASE ; HEALTH ; COVERAGE
Indexed BySCI
Language英语
Funding ProjectOpen foundation of Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Land and Resources, P. R. China[KF2018-7] ; National Natural Sciences Foundation of China[41502329]
Funding OrganizationOpen foundation of Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Land and Resources, P. R. China ; National Natural Sciences Foundation of China
WOS Research AreaPublic, Environmental & Occupational Health
WOS SubjectPublic, Environmental & Occupational Health
WOS IDWOS:000471615500016
PublisherSPRINGER BASEL AG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/58749
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Shaobin
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, A11 Datun Rd, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Wang, Shaobin,Ren, Zhoupeng. Spatial variations and macroeconomic determinants of life expectancy and mortality rate in China: a county-level study based on spatial analysis models[J]. INTERNATIONAL JOURNAL OF PUBLIC HEALTH,2019,64(5):773-783.
APA Wang, Shaobin,&Ren, Zhoupeng.(2019).Spatial variations and macroeconomic determinants of life expectancy and mortality rate in China: a county-level study based on spatial analysis models.INTERNATIONAL JOURNAL OF PUBLIC HEALTH,64(5),773-783.
MLA Wang, Shaobin,et al."Spatial variations and macroeconomic determinants of life expectancy and mortality rate in China: a county-level study based on spatial analysis models".INTERNATIONAL JOURNAL OF PUBLIC HEALTH 64.5(2019):773-783.
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