Internalising health-economic impacts of air pollution into climate policy: a global modelling study

基线(sea) 气候变化 空气污染 环境科学 污染 社会经济地位 福利 自然资源经济学 地理 环境资源管理 环境规划 环境卫生 人口 经济 医学 政治学 生态学 化学 有机化学 法学 市场经济 生物
作者
Lara Aleluia Reis,Laurent Drouet,Massimo Tavoni
出处
期刊:The Lancet Planetary Health [Elsevier]
卷期号:6 (1): e40-e48 被引量:56
标识
DOI:10.1016/s2542-5196(21)00259-x
摘要

Climate change and air pollution are two major societal problems. Their complex interplay calls for an advanced evaluation framework that can support decision making. Previous assessments have looked at the co-benefits of climate policies for air pollution, but few have optimised air pollution benefits. In our study, we lay out a modelling framework that internalises air pollution's economic impacts on human mortality, while considering climate constraints and aerosol feedback.We developed a modelling framework based on an integrated assessment model (World Induced Technical Change Hybrid [WITCH]) designed to assess optimal climate change mitigation policies. We included structural and end-of-pipe measures in a detailed process integrated assessment model, that is hard-linked to air pollution and climate models. We analysed a large set of baseline scenarios, including five shared socioeconomic pathways (SSPs). SSP scenarios were also tested with three different levels of value per statistical life, and were combined with the Paris Agreement temperature targets (TTs), focusing on the 2°C and 1·5°C TTs by the end of the century.We found that, in the baseline scenarios, where no policies are applied, the number of annual premature deaths grew before declining slightly to 4·45 (range 3·86-6·11) million annual premature deaths by 2050. Reaching the Paris Agreement TT decreases mortality by approximately 0·47 million premature deaths by 2050 (up to 1·28 million premature deaths in SSP3 -1·5°C) with respect to the baseline. We showed that welfare-maximising policies accounting for air pollution benefits reduces premature mortality by 1·62 million deaths annually. This is three times greater than the co-benefits of climate policies. China is the region where most of the avoided mortality is possible, whereas the reforming economies (ie, non-EU eastern European countries, including Russia) region has the greatest welfare benefits. We find that global and regional welfare increases when air pollution impacts are internalised, with no negative repercussions on global inequality.Air pollution control strategies are found to be an important complement to structural emission reductions. Accounting for air pollution impacts reduces climate mitigation costs and inequality and increases global and regional welfare. Results are robust to a broad set of scenarios and assumptions, including debated normative choices on how to value improved health.EU Commission projects: INNOPATHS, NAVIGATE, ENGAGE, and COMMIT.

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
文城完成签到,获得积分10
刚刚
1秒前
baomingqiu完成签到 ,获得积分10
1秒前
田様应助王木木采纳,获得10
1秒前
香蕉觅云应助Hhong采纳,获得10
1秒前
CodeCraft应助ping采纳,获得10
2秒前
大气靳发布了新的文献求助10
3秒前
4秒前
量子星尘发布了新的文献求助10
4秒前
WsomF发布了新的文献求助30
5秒前
5秒前
Nan关闭了Nan文献求助
6秒前
这是昵称完成签到,获得积分10
6秒前
橘23478562发布了新的文献求助10
7秒前
第八号当铺完成签到,获得积分10
7秒前
7秒前
打打应助谷粱紫槐采纳,获得10
8秒前
9秒前
小顾完成签到 ,获得积分10
10秒前
11秒前
yahonyoyoyo发布了新的文献求助10
12秒前
13秒前
fafafa发布了新的文献求助10
13秒前
13秒前
未来的心理学家完成签到 ,获得积分10
14秒前
穆清发布了新的文献求助50
15秒前
炎星语发布了新的文献求助10
15秒前
爱撒娇的砖头完成签到,获得积分10
16秒前
16秒前
Fannie完成签到,获得积分10
16秒前
纪言七许完成签到 ,获得积分10
17秒前
huang发布了新的文献求助10
17秒前
FashionBoy应助hanxi采纳,获得10
17秒前
漾漾完成签到,获得积分10
18秒前
科研通AI6.1应助yahonyoyoyo采纳,获得10
18秒前
Lucas应助洁净的士晋采纳,获得10
18秒前
大个应助学术蛀虫采纳,获得20
19秒前
19秒前
骆驼林子完成签到 ,获得积分10
19秒前
科研通AI6.1应助淡然从雪采纳,获得10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
从k到英国情人 1500
Ägyptische Geschichte der 21.–30. Dynastie 1100
„Semitische Wissenschaften“? 1100
Real World Research, 5th Edition 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5734318
求助须知:如何正确求助?哪些是违规求助? 5353475
关于积分的说明 15326692
捐赠科研通 4879069
什么是DOI,文献DOI怎么找? 2621634
邀请新用户注册赠送积分活动 1570768
关于科研通互助平台的介绍 1527666