Spatiotemporal trends in life expectancy and impacts of economic growth and air pollution in 134 countries: A Bayesian modeling study
文献类型：期刊论文
| 作者 | Wang, Shaobin1; Ren, Zhoupeng1,2; Liu, Xianglong1,2; Yin, Qian1,2 |
| 刊名 | SOCIAL SCIENCE & MEDICINE
 |
| 出版日期 | 2022 |
| 卷号 | 293页码:10 |
| 关键词 | Life expectancy at birth Air pollution Economic growth Spatiotemporal trends Bayesian spatiotemporal modeling |
| ISSN号 | 0277-9536 |
| DOI | 10.1016/j.socscimed.2021.114660 |
| 通讯作者 | Ren, Zhoupeng(renzp@lreis.ac.cn) |
| 英文摘要 | Life expectancy (LE) varies across countries in space and time, and economic growth and air pollution are two important influence factors to LE. This study mainly aims to investigate spatiotemporal trends in LE in 134 countries from 1960 to 2016 by using Bayesian spatiotemporal modeling. Further, the relations between per capita gross domestic product (GDPpc) and population-weighted fine particulate matter (pwPM2.5) and LE are investigated from a global perspective from 1998 to 2016 by using the Bayesian regression model. The results illustrated the heterogeneity of spatiotemporal trends in LE globally. Specifically, Africa and South-East Asia show much lower LE levels, and the Americas, European, and Western Pacific exhibit a relatively higher LE level compared to the overall level. The countries with low overall levels of LE show a relatively stronger upward trend than the overall upward trend and vice versa. In addition, this study demonstrates that the spatial differences in effects of influence factors on LE in the six WHO regions in the 134 countries. Africa shows the highest positive regression coefficient of GDPpc and lowest negative regression coefficient of pwPM2.5 on LE than other regions in the world. Furthermore, it shows the complexity of the interaction between economic growth and air pollution on LE across six WHO regions. Our findings suggest the public policies to reduce the health damage caused by air pollution, especially in Africa, Eastern Mediterranean, and Europe where the pwPM2.5 negatively affect the LE benefits from economic growth. |
| WOS关键词 | LONG-TERM EXPOSURE ; INCOME INEQUALITY ; SOCIAL DETERMINANTS ; AMBIENT PM2.5 ; UNITED-STATES ; PER-CAPITA ; FOLLOW-UP ; HEALTH ; MORTALITY ; GDP |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20030302] ; Na-tional Natural Science Foundation of China[42071377] |
| WOS研究方向 | Public, Environmental & Occupational Health ; Biomedical Social Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000791330500015 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; Na-tional Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/176628]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ren, Zhoupeng |
| 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,Liu, Xianglong,et al. Spatiotemporal trends in life expectancy and impacts of economic growth and air pollution in 134 countries: A Bayesian modeling study[J]. SOCIAL SCIENCE & MEDICINE,2022,293:10. |
| APA | Wang, Shaobin,Ren, Zhoupeng,Liu, Xianglong,&Yin, Qian.(2022).Spatiotemporal trends in life expectancy and impacts of economic growth and air pollution in 134 countries: A Bayesian modeling study.SOCIAL SCIENCE & MEDICINE,293,10. |
| MLA | Wang, Shaobin,et al."Spatiotemporal trends in life expectancy and impacts of economic growth and air pollution in 134 countries: A Bayesian modeling study".SOCIAL SCIENCE & MEDICINE 293(2022):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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