Spatial variations and macroeconomic determinants of life expectancy and mortality rate in China: a county-level study based on spatial analysis models
文献类型：期刊论文
| 作者 | Wang, Shaobin1; Ren, Zhoupeng1,2 |
| 刊名 | INTERNATIONAL JOURNAL OF PUBLIC HEALTH
 |
| 出版日期 | 2019-06-01 |
| 卷号 | 64期号:5页码:773-783 |
| 关键词 | Life expectancy at birth Infant and childhood mortality rate Spatial distribution patterns Macroeconomic determinants China |
| ISSN号 | 1661-8556 |
| DOI | 10.1007/s00038-019-01251-y |
| 通讯作者 | Wang, Shaobin(wangshaobin@igsnrr.ac.cn) |
| 英文摘要 | ObjectivesThe 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. |
| WOS关键词 | INFANT-MORTALITY ; GLOBAL BURDEN ; SYSTEMATIC ANALYSIS ; INCOME INEQUALITY ; CHILD-MORTALITY ; UNDER-5 MORTALITY ; ECONOMIC-GROWTH ; DISEASE ; HEALTH ; COVERAGE |
| 资助项目 | Open 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] |
| WOS研究方向 | Public, Environmental & Occupational Health |
| 语种 | 英语 |
| WOS记录号 | WOS:000471615500016 |
| 出版者 | SPRINGER BASEL AG |
| 资助机构 | Open 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 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/58748]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Shaobin |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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