Cited by 2,327Microplastics and Plastic PollutionMunicipal Solid Waste ManagementWaste Management and Recycling

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index; none of the 38 sources its claims cite is checked for support yet.

Future scenarios of global plastic waste generation and disposal

Open access
Lebreton, Laurent, Andrady, Anthony·2019·Palgrave Communications

Abstract

The accumulation of mismanaged plastic waste (MPW) in the environment is a global growing concern. Knowing with precision where litter is generated is important to target priority areas for the implementation of mitigation policies. In this study, using country-level data on waste management combined with high-resolution distributions and long-term projections of population and the gross domestic product (GDP), we present projections of global MPW generation at ~1 km resolution from now to 2060. We estimated between 60 and 99 million metric tonnes (Mt) of MPW were produced globally in 2015. In a business-as-usual scenario, this figure could triple to 155–265 Mt y −1 by 2060. The future MPW load will continue to be disproportionately high in African and Asian continents even in the future years. However, we show that this growth in plastic waste can be reduced if developing economies significantly invest in waste management infrastructures as their GDP grows in the future and if efforts are made internationally to reduce the fraction of plastic in municipal solid waste. Using our projections, we also demonstrate that the majority of MPW (91%) are transported via watersheds larger than 100 km 2 suggesting that rivers are major pathways for plastic litter to the ocean.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This study projects global mismanaged plastic waste (MPW) at ~1 km resolution from 2015 to 2060 using country waste-management data with gridded population and GDP. It estimates 60–99 Mt of MPW in 2015, with business-as-usual growth to 155–265 Mt y⁻¹ by 2060 unless waste management improves and plastic demand is reduced.

Key findings

  • Global MPW in 2015 was estimated at 60–99 Mt (midpoint 80 Mt), about 47% of global annual municipal plastic waste generation (midpoint 181 Mt for n = 188 countries).
  • Under business-as-usual scenario A, MPW could nearly triple to 213 (155–265) Mt y⁻¹ by 2060; under scenario B, with waste management improving as GDP grows, global MPW could peak before 2020 and fall to 50 (22–94) Mt y⁻¹ by 2060; under scenario C, capping plastic in municipal solid waste at 10% by 2020 and 5% by 2040 plus scenario B improvements, MPW could fall below 25 Mt y⁻¹ before 2060, with 74% generated in Africa and 21% in Asia.
  • 91% of MPW was generated inside watersheds larger than 100 km², suggesting rivers are major pathways to the ocean; 5% was discarded directly near the coastline (<10 km²) and 4% at 10–100 km², with over a quarter in 14 continental rivers.
  • In 2015, Asia released 52 (42–58) Mt of MPW, 65% of the global total; Africa had the highest unsound disposal rate at 88.5%, producing 17 (10–20) Mt. Top countries were China (17.2 Mt y⁻¹), India (14.4 Mt y⁻¹), and the Philippines (4.52 Mt y⁻¹); Manila was the largest urban centre at 0.81 Mt y⁻¹.

Methods

  • Country-level Waste Atlas data on per capita municipal solid waste generation, mismanaged fraction, and plastic fraction were combined with 30 × 30 arc-second (~1 km) Landscan 2014 population density and UNEP/DEWA/GRID-Geneva GDP distributions; future projections used UN, IMF, and OECD population and GDP projections to 2060.
  • Empirical relationships estimated missing values: per capita MSW generation vs per capita GDP (a = 11.434, b = 0.3433, n = 160), mismanaged fraction vs per capita GDP (e = −3.13 × 10⁻³, f = 104, n = 95), and a global average plastic fraction of 10.9% ± 4.5% (n = 105).
  • Three scenarios were modeled: A, business-as-usual waste management; B, mismanaged fraction declining with GDP growth; C, scenario B plus plastic fraction capped at 10% by 2020 and 5% by 2040. Watershed analysis used HydroSHEDS boundaries.

Limitations

  • The paper states that waste data were reported at national level and may vary within countries; confidence intervals include uncertainties in per capita MSW generation, plastic proportion, and mismanaged fraction. Projections neglect subnational population redistribution, plastic waste exports/imports, exceptional economic or societal events, and changes in technology, product design, or behavior.
  • The paper also notes that population density was assumed to grow at the same rate as the national average, which may bias projections, and that rural exodus could further reinforce urban waste production.
  • Evident from the text: the Waste Atlas data are non-exhaustive (n = 160 for MSW generation, n = 95 for unsound disposal, n = 105 for plastic proportion), and the model assumes per capita solid waste generation scales with GDP within a country and that relative spatial distributions remain constant over time.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1057/s41599-018-0212-7

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

35 Not checked yet · 32 Own result · 26 Own interpretation · 26 No basis given · 10 Own method

Verify all 38 references — free account
  • It may state two separate claims as one. 35
  • Probably not a substantial claim. 31
  • The quote only partly states this claim. 1
62 of 62
  • The authors state this as an assumption.

    The proportion of plastic in solid waste (p) is the same for all unmanaged waste including litter.

    “Value of p is assumed to be the same for all unmanaged waste including litter.”
  • The authors state this as an assumption.

    Per capita solid waste generation scales with GDP inside a country.

    “An important model assumption here, is that per capita solid waste generation scales with GDP inside a country.”
  • The authors state this as an assumption.

    For future projections, the relative spatial distribution of population and GDP within countries remains the same over time; possible migration and sub-national variations are neglected.

    “we neglected the possible migration of population or variations in domestic product inside countries for our future projections as we considered the relative distribution to remain the same over time.”
  • The authors state this as an assumption.

    In scenario A, the mismanaged fraction reported by Waste Atlas (2016) is maintained into future years.

    “For scenario A, we considered the case of business-as-usual where the mismanaged fraction reported by Waste Atlas (2016) were maintained into the future years”
  • The authors state this as an assumption.

    In scenario B, waste management efforts improve with increased investment in infrastructure as economies grow.

    “In scenario B, we assumed waste management efforts will improve with increased investment in infrastructure as the economies in individual countries grow in the future.”
  • The authors state this as an assumption.

    In scenario C, the same assumptions as scenario B hold and the fraction of plastic in solid waste is capped to 10% by 2020 and 5% by 2040.

    “Finally, in scenario C, we used the same assumption as in scenario B and further reduced the input of individual countries by capping the fraction p of plastic in solid waste to 10% by 2020 and to 5% by 2040.”
  • The authors state this as an assumption.

    As the economy grows, waste management infrastructure improves.

    “i.e., as the economy grows, waste management infrastructure improves”
  • The authors state this as an assumption.

    Waste management data is mainly reported for urban centres and levels of per capita use may not be representative of rural areas.

    “Waste management data is mainly reported for urban centres and we trust that levels of per capita use may not be representative of rural areas.”
  • The authors state this as an assumption.

    Waste generation in small watersheds in arid or mountainous unpopulated regions is very small and can be neglected from inland inputs.

    “As the waste generation in these areas is very small since they are generally unpopulated, we neglected the contribution of these regions from inland inputs.”
  • The authors state this as an assumption.

    Population density grows at the same rate as the national average.

    “population density was assumed to grow at the same rate as the national average.”
10 of 10

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

3 of 3

Citations

Cites

Show all 29 references

Research works printed but not linked: 3

  1. British Plastics Federation (2008) Oil consumption. British Plastics Federation. http://www.bpf.co.uk/press/Oil_Consumption. Accessed 20 Apr 2018
  2. Hoornweg D and Bhada-Tata P (2012) What a waste: a global review of solid waste management. World Bank. http://hdl.handle.net/10986/17388. Accessed 28 Feb 2016
  3. World Economic Forum (2016) The new plastics economy. Rethinking the future of plastics. World Economic Forum, Geneva, Switzerland

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Metadata

Authors
Lebreton, L., & Andrady, A.
Affiliations
  • The Ocean Cleanup (NL)
  • North Carolina State University (US)
Corresponding author
Lebreton, Laurent
Venue
Palgrave Communications
Published
2019-01-29
Volume
5
Issue
1
ISSN
2055-1045 (ISSN-L)
OpenAlex
W2914665624
Cited by
2,327
References
29
Citations by year
2026: 233 · 2025: 379 · 2024: 434 · 2023: 451 · 2022: 380 · 2021: 289 · 2020: 137 · 2019: 22
FWCI
62.01
Type
journal article
Language
en
Open access
Locations
  • Humanities and Social Sciences Communications (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
U.S. Geological Survey
Topics
  • Physical Sciences › Environmental Science › Pollution › Microplastics and Plastic Pollution
  • Physical Sciences › Environmental Science › Waste Management and Disposal › Municipal Solid Waste Management
  • Physical Sciences › Environmental Science › Waste Management and Disposal › Waste Management and Recycling
Keywords
plastic waste, mismanaged plastic waste, waste management infrastructure, population growth, gross domestic product, municipal solid waste, plastic pollution, developing countries, Africa, Asia

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