Changes in PM2.5-related health burden in China's poverty and non-poverty areas during 2000–2020: A health inequality perspective

贫穷 中国 人口 人均 国内生产总值 人口学 环境卫生 不平等 地理 社会经济学 医学 经济增长 经济 社会学 考古 数学分析 数学
作者
Yan Li,Hong Liao,Hong Liao,Bing‐Bing Zhou,Jing Wei,Yuxia Wang,Yuzhu Zang,Yang Yang,Rui Liu,Xiaorui Wang
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:861: 160517-160517 被引量:11
标识
DOI:10.1016/j.scitotenv.2022.160517
摘要

China suffers from severe PM2.5 pollution that has resulted in a huge health burden. Such PM2.5-related health burden has long been suspected to differ between China's poverty-stricken areas (PAs) and non-poverty-stricken areas (NPAs). Yet, evidence-based examination of this long-held belief, which is critical as a barrier of environmental injustice to advancing China's sustainability, is still missing. Here our study shows that the PM2.5 pollution is more serious in China's NPAs than PAs-with their annual averages being respectively 54.83 μg/m3 and 43.63 μg/m3-causing higher premature mortality in the NPAs. Compared to economic inequality, China's total PM2.5-related premature mortality was relatively evenly distributed during 2000-2015 across regions of varying levels of gross domestic product (GDP) per capita but increased slightly in 2015-2020 owing to the dramatic change in age structure. The elderly population increased by 31 %. PM2.5-related premature deaths were more severe for populations of low socioeconomic status, and such environmental health inequalities could be amplified by population aging. Additionally, population migration from China's PAs to developed cities contributed to 638, 779, 303, 954, and 896 premature deaths in 2000, 2005, 2010, 2015, and 2020, respectively. Changes in the age structure (53 %) and PM2.5 concentration (28 %) had the greatest impact on premature deaths, followed by changes in population (12 %) and baseline mortality (8 %). The contribution rate of changes in the age structure and PM2.5 concentration was higher in PAs than in NPAs. Our findings provide insight into PM2.5-related premature death and environmental inequality, and may inform more equitable clean air policies to achieve China's sustainable development goals.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
orixero应助LIU采纳,获得10
刚刚
经法发布了新的文献求助10
刚刚
不吃橘子完成签到,获得积分10
刚刚
Cheryy完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
ding应助哈哈哈哈采纳,获得10
2秒前
Draeck发布了新的文献求助10
2秒前
kingwhitewing发布了新的文献求助10
2秒前
3秒前
clarkq发布了新的文献求助10
3秒前
3秒前
GGZ完成签到,获得积分10
3秒前
15860936613完成签到 ,获得积分10
3秒前
可爱的函函应助a方舟采纳,获得10
3秒前
4秒前
ee关闭了ee文献求助
4秒前
4秒前
5秒前
Hungrylunch给woshiwuziq的求助进行了留言
5秒前
传奇3应助cruise采纳,获得10
5秒前
艺玲发布了新的文献求助10
5秒前
5秒前
我是老大应助sun采纳,获得10
6秒前
柔弱煎饼完成签到,获得积分10
6秒前
SY发布了新的文献求助10
6秒前
暗能量完成签到,获得积分10
6秒前
刘星星完成签到,获得积分10
6秒前
科研通AI5应助yan采纳,获得10
7秒前
蒋念寒发布了新的文献求助10
7秒前
zyp完成签到,获得积分10
7秒前
dldddz完成签到,获得积分10
7秒前
二二二完成签到,获得积分20
7秒前
动听导师发布了新的文献求助10
8秒前
龙潜筱完成签到,获得积分10
8秒前
明天过后完成签到,获得积分10
8秒前
8秒前
在水一方应助weddcf采纳,获得10
8秒前
9秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678