Abstract
Climate action ameliorates public health by reducing hazardous air pollutants alongside greenhouse gases, yet misguided mitigation efforts could induce imbalances in air pollution exchange across international borders. Despite its potential to endanger equality, the effects from climate action on transboundary air pollution are relatively unstudied. Here we show that stricter mitigation increases the fraction of co-benefits that originate externally in Africa by +8% in shared socioeconomic pathways (SSP) towards sustainability (SSP1) and by +53% for fragmentation (SSP3). The fraction of externally originating co-benefits is greater in developing countries (0.76 in SSP1-26) than developed (0.65), indicating that developing countries are more dependent on external action. Although co-benefits are maximized in the most ambitious scenario, SSP1-19 (1.32 million deaths avoided), their transboundary exchange between countries varies. These results suggest a need for climate policies that consider how inequalities in transboundary air pollution evolve across distinct socioeconomic trends and mitigation strategies in addition to total co-benefit estimates.
Similar content being viewed by others
Data availability
The emission projection data used in this study are publicly available for free from Fujimori et al. and accessible at: https://www.nature.com/articles/sdata2018210. The baseline disease rates, relative risk data, and population data are available from the Global Burden of Disease study (https://vizhub.healthdata.org/gbd-results/). The GEOS-Chem adjoint sensitivity calculations are available from the corresponding author upon request. The source data used to generate all of the main figures for this article and all source-receptor health estimates across the scenarios are freely available for open access on Zenodo (https://zenodo.org/records/18008107).
Code availability
The GEOS-Chem adjoint source code used to calculate adjoint sensitivities is publicly available, and instructions for downloading it can be found on the GEOS-Chem Adjoint Wiki: https://wiki.seas.harvard.edu/geos-chem/index.php/GEOS-Chem_Adjoint_Model.
References
Karlsson, M., Alfredsson, E. & Westling, N. Climate policy co-benefits: a review. Clim. Policy 20, 292–316 (2020).
West, J. J. et al. Co-benefits of mitigating global greenhouse gas emissions for future air quality and human health. Nat. Clim. Change 3, 885–889 (2013).
Shindell, D. et al. A climate policy pathway for near- and long-term benefits. Science 356, 493–494 (2017).
Murray, C. J. L. et al. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396, 1223–1249 (2020).
Smith, G. S., Anjum, E., Francis, C., Deanes, L. & Acey, C. Climate change, environmental disasters, and health inequities: the underlying role of structural inequalities. Curr. Environ. Health Rep. 9, 80–89 (2022).
Giang, A. et al. Equity and modeling in sustainability science: examples and opportunities throughout the process. Proc. Natl. Acad. Sci. USA 121, e2215688121 (2024).
Klinsky, S. & Winkler, H. Equity, sustainable development and climate policy. Clim. Policy 14, 1–7 (2014).
Riahi, K. et al. The shared socioeconomic pathways and their energy, land use, and greenhouse gas emissions implications: an overview. Glob. Environ. Change 42, 153–168 (2017).
Markandya, A. et al. Health co-benefits from air pollution and mitigation costs of the Paris Agreement: a modelling study. Lancet Planet. Health 2, e126–e133 (2018).
Vandyck, T., Keramidas, K., Tchung-Ming, S., Weitzel, M. & Van Dingenen, R. Quantifying air quality co-benefits of climate policy across sectors and regions. Clim. Change 163, 1501–1517 (2020).
Tong, D. et al. Health co-benefits of climate change mitigation depend on strategic power plant retirements and pollution controls. Nat. Clim. Chang. 11, 1077–1083 (2021).
Jiang, P. et al. Analysis of the co-benefits of climate change mitigation and air pollution reduction in China. J. Clean. Prod. 58, 130–137 (2013).
Mir, K. A., Purohit, P., Cail, S. & Kim, S. Co-benefits of air pollution control and climate change mitigation strategies in Pakistan. Environ. Sci. Policy 133, 31–43 (2022).
Nawaz, M. O. et al. Sources of air pollution health impacts and co-benefits of carbon neutrality in Santiago, Chile. J. Geophys. Res. Atmos. 128, e2023JD038808 (2023).
Abas, N., Saleem, M. S., Kalair, E. & Khan, N. Cooperative control of regional transboundary air pollutants. Environ. Syst. Res. 8, 10 (2019).
Timmons Roberts, J. & Parks, B. C. Fueling injustice: globalization, ecologically unequal exchange and climate change. Globalizations 4, 193–210 (2007).
Ingole, V. et al. Local mortality impacts due to future air pollution under climate change scenarios. Sci. Total Environ. 823, 153832 (2022).
Nansai, K. et al. Consumption in the G20 nations causes particulate air pollution resulting in two million premature deaths annually. Nat. Commun. 12, 6286 (2021).
Fang, D. & Chen, B. Inequality of air pollution and carbon emission embodied in inter-regional transport. Energy Procedia 158, 3833–3839 (2019).
Scovronick, N. et al. The impact of human health co-benefits on evaluations of global climate policy. Nat. Commun. 10, 1–12 (2019).
Henze, D. K., Hakami, A. & Seinfeld, J. H. Development of the adjoint of GEOS. Chem. Atmos. Chem. Phys. 7, 2413–2433 (2007).
Bey, I. et al. Global modeling of tropospheric chemistry with assimilated meteorology: model description and evaluation. J. Geophys. Res. Atmos. 106, 23073–23095 (2001).
Fujimori, S., Hasegawa, T., Ito, A., Takahashi, K. & Masui, T. Gridded emissions and land-use data for 2005–2100 under diverse socioeconomic and climate mitigation scenarios. Sci. Data 5, 180210 (2018).
Foreman, K. J. et al. Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories. Lancet 392, 2052–2090 (2018).
Nawaz, M. O. et al. A source apportionment and emission scenario assessment of PM2.5- and O3-related health impacts in G20 countries. GeoHealth 7, e2022GH000713 (2023).
United Nations Development Programme. Human Development Index (HDI). (2025).
Chen, L. et al. Inequality in historical transboundary anthropogenic PM2.5 health impacts. Sci. Bull. 67, 437–444 (2022).
Zhang, Q. et al. Transboundary health impacts of transported global air pollution and international trade. Nature 543, 705–709 (2017).
Thunis, P. et al. Non-linear response of PM2.5 to changes in NOx and NH3 emissions in the Po basin (Italy): consequences for air quality plans. Atmos. Chem. Phys. 21, 9309–9327 (2021).
Choi, J., Henze, D. K., Nawaz, M. O. & Malley, C. S. Source attribution of health burdens from ambient PM2.5, O3, and NO2 exposure for assessment of South Korean National Emission Control Scenarios by 2050. GeoHealth 8, e2024GH001042 (2024).
Wiel van der, K., Selten, F. M., Bintanja, R., Blackport, R. & Screen, J. A. Ensemble climate-impact modelling: extreme impacts from moderate meteorological conditions. Environ. Res. Lett. 15, 034050 (2020).
Clarke, B., Otto, F., Stuart-Smith, R. & Harrington, L. Extreme weather impacts of climate change: an attribution perspective. Environ. Res. Clim. 1, 012001 (2022).
Turnock, S. T. et al. Historical and future changes in air pollutants from CMIP6 models. Atmos. Chem. Phys. 20, 14547–14579 (2020).
Kumar, P. Climate change and cities: challenges ahead. Front. Sustain. Cities 3, 645613 (2021).
Nault, B. A. et al. Secondary organic aerosols from anthropogenic volatile organic compounds contribute substantially to air pollution mortality. Atmos. Chem. Phys. 21, 11201–11224 (2021).
Nawaz, M. O. et al. Impacts of sectoral, regional, species, and day-specific emissions on air pollution and public health in Washington, DC. Elementa Sci. Anthropocene 9, 00043 (2021).
Kelly, J. M. et al. Diagnosing domestic and transboundary sources of fine particulate matter (PM2.5) in UK cities using GEOS-Chem. City Environ. Interact. 18, 100100 (2023).
Center for International Earth Science Information Network (CIESIN), Columbia University. Documentation for the Gridded Population of the World, Version 4 (GPWv4), Revision 11 Data Sets. (2018).
Zhuang, J. et al. pangeo-data/xESMF:v0.8.2. Zenodo https://doi.org/10.5281/zenodo.8356796 (2023).
Gass, J. GEOS systems. Global Modeling and Assimilation Office. https://gmao.gsfc.nasa.gov/GEOS/ (2021).
van Donkelaar, A. et al. Global estimates of fine particulate matter using a combined geophysical-statistical method with information from satellites, models, and monitors. Environ. Sci. Technol. 50, 3762–3772 (2016).
Lee, C. J. et al. Response of global particulate-matter-related mortality to changes in local precursor emissions. Environ. Sci. Technol. 49, 4335–4344 (2015).
Nawaz, M. O. et al. Sources of air pollution-related health impacts and benefits of radially applied transportation policies in 14 US cities. Front. Sustain. Cities 5, 1102493 (2023).
Gu, Y., Henze, D. K., Nawaz, M. O., Cao, H. & Wagner, U. J. Sources of PM2.5-associated health risks in Europe and corresponding emission-induced changes during 2005–2015. GeoHealth 7, e2022GH000767 (2023).
Gu, Y., Henze, D. K., Nawaz, M. O. & Wagner, U. J. Response of the ozone-related health burden in Europe to changes in local anthropogenic emissions of ozone precursors. Environ. Res. Lett. 18, 114034 (2023).
Lacey et al. Transient climate and ambient health impacts due to national solid fuel cookstove emissions. PNAS 114, 1269–1274 (2017).
Hoesly, R. M. et al. Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS). Geosci. Model Dev. 11, 369–408 (2018).
Janssens-Maenhout, G. et al. HTAP_v2.2: a mosaic of regional and global emission grid maps for 2008 and 2010 to study hemispheric transport of air pollution. Atmos. Chem. Phys. 15, 11411–11432 (2015).
Elguindi, N. et al. Intercomparison of magnitudes and trends in anthropogenic surface emissions from bottom-up inventories, top-down estimates, and emission scenarios. Earths Future 8, e2020EF001520 (2020).
Heald, C. L. et al. Atmospheric ammonia and particulate inorganic nitrogen over the United States. Atmos. Chem. Phys. 12, 10295–10312 (2012).
Henze, D. K., Seinfeld, J. H. & Shindell, D. T. Inverse modeling and mapping US air quality influences of inorganic PM2.5 precursor emissions using the adjoint of GEOS. Chem. Atmos. Chem. Phys. 9, 5877–5903 (2009).
Liang, C.-K. et al. HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors. Atmos. Chem. Phys. 18, 10497–10520 (2018).
Philip, S. et al. Anthropogenic fugitive, combustion and industrial dust is a significant, underrepresented fine particulate matter source in global atmospheric models. Environ. Res. Lett. 12, 044018 (2017).
Nawaz, M. O. & Henze, D. K. Premature deaths in Brazil associated with long-term exposure to PM2.5 from Amazon Fires between 2016 and 2019. GeoHealth 4, e2020GH000268 (2020).
Acknowledgements
The authors acknowledge funding support from both NASA NNX16AQ19G and 80NSSC19K0193 for both M.O.N. and D.K.H. We additionally acknowledge funding support from Cardiff University’s Open Access fund for covering the article processing charges for this publication.
Author information
Authors and Affiliations
Contributions
M.O.N. and D.K.H. conceived and designed the study. M.O.N. and D.K.H.performed the simulations and processed the data. M.O.N. analyzed the data and developed the figures. M.O.N. wrote the initial draft of the manuscript. M.O.N. and D.K.H. contributed to the interpretation of the results, revised the manuscript, and approved the final version for submission.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Communications thanks Jianping Huang and the other anonymous reviewer(s) for their contribution to the peer review of this work. A peer review file is available.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Nawaz, M.O., Henze, D.K. National climate action can ameliorate, perpetuate, or exacerbate international air pollution inequalities. Nat Commun (2026). https://doi.org/10.1038/s41467-026-68827-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41467-026-68827-0


