Plastic leakage from mismanaged and littered waste
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Global Plastics Outlook - plastics leakage from mismanaged waste and litter

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env.linkages@oecd.org

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OECD ENV-Linkages model
Ryberg et al. (2019) Cottom, Cook and Velis (2020)
The methodology to derive plastic leakage is explained in the Annex to the OECD Global Plastics Outlook.

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Click to expand Date last updated
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09-Feb-22

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Millions
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1990-2019

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Tonnes (t) of plastics
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This dataset provides estimates of plastics leakage for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.

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This dataset provides estimates of plastics leakages to the environment per source.
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Plastic leakages estimates correspond to the average of the estimates caclulated using the methodology adapted from (Ryberg et al., 2019) and (Cottom, Cook and Velis, 2020) that were applied on OECD ENV-Linkages model outputs.

Plastic leakage from mismanaged and littered wasteAbstract

Global Plastics Outlook - plastics leakage from mismanaged waste and litter

Contact person/organisation

env.linkages@oecd.org

Data source(s) used

OECD ENV-Linkages model
Ryberg et al. (2019) Cottom, Cook and Velis (2020)
The methodology to derive plastic leakage is explained in the Annex to the OECD Global Plastics Outlook.

ENV-Linkages modelhttps://www.oecd.org/environment/indicators-modelling-outlooks/modelling.htmOECD Global Plastics Outlookhttps://doi.org/10.1787/de747aef-enRyberg et al. (2019)http://dx.doi.org/10.1016/j.resconrec.2019.104459Cottom, Cook and Velis (2020)https://plasticpollution.leeds.ac.uk/toolkits/spot/Unit of measure used

Tonnes (t) of plastics

Power codeMillionsReference period

1990-2019

Date last updated

09-Feb-22

Geographic coverage

This dataset provides estimates of plastics leakage for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.

Other coverage

This dataset provides estimates of plastics leakages to the environment per source.

Other manipulations

Plastic leakages estimates correspond to the average of the estimates caclulated using the methodology adapted from (Ryberg et al., 2019) and (Cottom, Cook and Velis, 2020) that were applied on OECD ENV-Linkages model outputs.