Back

Health and Economic Benefits of Air Quality Improvements in France through Net-Zero Transition Scenarios by 2050

Sharma, A.; Gressent, A.; Real, E.; Nguyen, K. N.; Corso, M.; Pascal, M.; Medina, S.; Wagner, V.; Slama, R.; Colette, A.; Jean, K.

2026-05-28 public and global health
10.64898/2026.05.27.26354123 medRxiv
Show abstract

Background: Climate mitigation policies can lower air pollutant concentrations and deliver substantial health co-benefits. The French Ecological Transition Agency (ADEME) proposed four contrasting Transitions 2050 net-zero scenarios. We quantified mortality, morbidity, and health-economic co-benefits from projected PM2.5 and NO2 reductions across all four scenarios in continental France. Methods: Emission projections were input to the CHIMERE chemistry-transport model to estimate PM2.5 and NO2 concentrations for 2030 and 2050. Health impacts were assessed using disease-specific cessation-lag assumptions relative to 2019, covering premature mortality, morbidity, DALYs, and economic benefits across nine outcomes (hypertension, lung cancer, ischaemic heart disease, stroke, COPD, type-2 diabetes, acute lower respiratory infections, and asthma in children and adults). Findings: Population exposure is projected to decline by about 40% for PM2.5 and 70% for NO2 by 2050, with health gains remaining substantial and broadly equivalent across all four scenarios and modest differences between sufficiency-oriented and technology-driven pathways. Under delayed-impact assumptions, avoided premature deaths ranged from 21,300 to 22,100 for PM2.5 and 24,500 to 26,200 for NO2. Morbidity and disability-adjusted life year (DALY) reductions, as well as economic savings, spanned similarly; total avoided morbidity cases were 84,000-88,000, direct medical cost reductions were e1.0-1.1 billion/year, and intangible cost savings of e41-43 billion and e36-39 billion, respectively. Interpretation: Health co-benefits are substantial, consistent across contrasting scenarios, and increase markedly from 2030 to 2050. Explicitly incorporating these co-benefits into climate policy appraisals may strengthen the case for ambitious mitigation and improve decision-maker acceptability.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Science of The Total Environment
186 papers in training set
Top 0.2%
15.3%
2
Environment International
43 papers in training set
Top 0.1%
12.5%
3
Environmental Health Perspectives
17 papers in training set
Top 0.1%
7.9%
4
GeoHealth
12 papers in training set
Top 0.1%
6.7%
5
Environmental Research
49 papers in training set
Top 0.2%
6.3%
6
Nature Communications
5641 papers in training set
Top 27%
5.5%
50% of probability mass above
7
PLOS ONE
5266 papers in training set
Top 34%
4.0%
8
The Innovation
13 papers in training set
Top 0.1%
4.0%
9
International Journal of Environmental Research and Public Health
128 papers in training set
Top 1%
3.5%
10
Environmental Research Letters
14 papers in training set
Top 0.1%
3.2%
11
Environmental Science & Technology
64 papers in training set
Top 0.4%
3.2%
12
One Health
29 papers in training set
Top 0.2%
2.1%
13
Indoor Air
10 papers in training set
Top 0.1%
1.7%
14
PLOS Global Public Health
344 papers in training set
Top 6%
1.7%
15
Environmental Pollution
37 papers in training set
Top 0.7%
1.5%
16
Scientific Reports
3612 papers in training set
Top 58%
1.5%
17
eLife
5828 papers in training set
Top 57%
1.1%
18
Environmental Science & Technology Letters
21 papers in training set
Top 0.2%
1.1%
19
The Lancet Public Health
20 papers in training set
Top 0.3%
1.0%
20
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 37%
1.0%
21
Ecotoxicology and Environmental Safety
10 papers in training set
Top 0.3%
1.0%
22
BMC Public Health
158 papers in training set
Top 5%
1.0%
23
Frontiers in Public Health
148 papers in training set
Top 6%
0.8%
24
Science Advances
1243 papers in training set
Top 33%
0.6%
25
BMC Medicine
176 papers in training set
Top 6%
0.6%
26
Journal of Environmental Management
13 papers in training set
Top 0.7%
0.6%