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Improving waste systems in the global south to tackle international environmental impacts

Abstract

The infrastructure available to a nation for the management of its solid waste not only affects its population and environment, it plays a role in addressing global challenges of greenhouse gas emissions and ocean plastics. Several approaches attempt to address this purpose, but their adoption is dependent on available resources. While nations in the global south struggle with waste collection and rely heavily on open dumping, those in the global north invest in more advanced technologies to divert materials from disposal to recovery. To address cross-border waste concerns, a more in-depth understanding of the cost–benefit relationship of different strategies is required. Here we show that investment in advancing the waste infrastructure of the global south achieves a higher mitigation of greenhouse gas emissions and marine plastics than further upgrades in the global north. Basic collection is the essential step to reducing marine plastics, and a transition from open dumps and burning to controlled landfills does more to reduce methane and black carbon emissions than upgrading existing systems to advanced technologies. Our results demonstrate how targeted expenditures towards basic infrastructure components in those areas with the least investment are a more efficient use of global resources for mitigating climate change and reducing marine plastics.

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Fig. 1: The state of the world’s solid WM system defined in terms of four levels, where levels 1 and 4 are associated with the best and worst practices, respectively.
Fig. 2: Average GHG emissions footprint for each of the four levels under four sensitivity analysis scenarios.
Fig. 3: The current environmental footprint per Mg of waste generated and the prospective environmental benefits per US$ when improving from a lower to a higher level, along with the WM total costs for each level.

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Data availability

All data used to produce the results of our analysis are available in the Supplementary Information and Supplementary Data A–E, which provide data on waste disposition and composition flows, WM cost, GHG emissions footprints and emission factors, plastic marine debris footprints and the impacts of cost, GHG emissions and plastic marine debris when improving WM classification levels.

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Acknowledgements

This work was financially supported by the Hinkley Center for Solid and Hazardous Waste Management in Gainesville, Florida, USA. We appreciate the access to the life-cycle assessment models SWOLF provided by North Carolina State University. The authors are responsible for the content of the paper and the findings do not represent the views of the funding agencies.

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Authors and Affiliations

Authors

Contributions

M.A. performed the research and analysed the data. T.G.T. conceived the idea and designed the study. Both authors wrote the paper.

Corresponding author

Correspondence to Malak Anshassi.

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The authors declare no competing interests.

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Nature Sustainability thanks Amy Brooks, Ed Cook and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Extended data

Extended Data Fig. 1 2020 breakdown contributions of each WM level, income level, and region to total population.

2020 breakdown contributions of each WM level, income level, and region to total population (7.76 billion people), waste generated (2.09 billion Mg), waste collected (1.69 billion Mg), open dump landfilled (663.3 million Mg), controlled landfilled (231.6 million Mg), sanitary landfilled (434.0 million Mg), open air burned (216.7 million Mg), MSW incinerated (216.6 million Mg), composted (83.9 million Mg), recycled (250.1 million Mg), MSW mismanaged (973.8 million Mg), waste-based GHG emissions (955.5 billion kgCO2eq.), and plastic marine debris (4.42 million Mg). The contributions of each a) waste management level; b) income level; and c) region.

Extended Data Fig. 2 Global waste management flows for 2020.

Flow of the 2.09 billion Mg of generated waste by each a) region and b) income level.

Extended Data Fig. 3 Average greenhouse gas (GHG) emissions footprint for each waste management level on a) a totals basis and b) per person basis.

Values for 3B were determined by taking the total emissions footprint and dividing by the total population of each level (for example, population of all level 1 countries).

Extended Data Fig. 4 Modeled waste-based GHG emissions footprint in units of kgCO2eq./ Mg waste generated for each country under a) current waste management levels and b) improved waste management levels.

More detailed information on the approaches used to estimate conditions for a and b are provided in the Supplementary Methods and Extended Data C.

Extended Data Fig. 5 Modeled plastic emissions into the marine environment in units of kg plastic/ Mg waste generated for each country under a) current waste management levels and b) improved waste management levels.

More detailed information on the approaches used to estimate conditions for a and b are provided in the Supplementary Methods and Extended Data D.

Extended Data Table 1 Sensitivity analysis results as percent difference when varying waste composition by component under four scenarios
Extended Data Table 2 The potential range of GHG and marine debris reductions per additional dollar spent when moving from a lower to a higher level

Supplementary information

Supplementary Information

Supplementary Methods, Figs. 1 and 2 and Tables 1–28.

Reporting Summary

Supplementary Data A

Spreadsheet including WM statistics.

Supplementary Data B

Spreadsheet including WM cost.

Supplementary Data C

Spreadsheet including WM GHG modelling.

Supplementary Data D

Spreadsheet including WM-based plastic marine footprints.

Supplementary Data E

Spreadsheet including WM impacts to improvement.

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Anshassi, M., Townsend, T.G. Improving waste systems in the global south to tackle international environmental impacts. Nat Sustain 8, 936–946 (2025). https://doi.org/10.1038/s41893-025-01607-8

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