Abstract
Plastic pollution in the world’s oceans threatens marine ecosystems and biodiversity, leading to a loss of well-being for people1,2. The connected nature of the marine environment suggests that coordinated actions by countries sharing a common ocean border may provide more effective pollution control than unilateral actions by any one country. However, economic theory and empirical evidence suggest that countries often fail to cooperate, even when joint welfare would be higher under cooperation3. Here we provide the first analysis of the potential economic benefits of cooperative marine plastic pollution (MPP) management in the North Atlantic. An estimated transfer matrix showing how plastics move across the North Atlantic is combined with game theory and estimates of benefits and costs to derive the potential net benefits of international cooperation. A fully cooperative outcome across 16 countries leads to a substantial reduction in MPP, resulting in significant aggregate annual net benefits. However, MPP reduction burdens are unevenly spread across countries. Constraining the agreement to avoid such consequences results in both less MPP reduction and lower aggregate benefits. As the United Nations works on a future global plastic pollution treaty, these results demonstrate that close cooperation will be a critical determinant of its success.
Original language | English |
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Publisher | Research Square |
Number of pages | 35 |
DOIs | |
Publication status | Published - 14 Nov 2023 |
Publication series
Name | Research Square |
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ISSN (Electronic) | 2693-5015 |
Bibliographical note
Acknowledgements: This work was conducted as part of the project “The Economics of Marine Plastic Pollution—What are the Benefits of International Cooperation?” funded by the UK Economic and Social Research Council (ES/S002448/2). The support of the ESRC is gratefully acknowledged. This work used the ARCHER2 UK National Supercomputing Service (https://www.archer2.ac.uk). The findings, interpretations and conclusions presented are entirely those of the authors, and any errors remain those of the authors alone.Code availability: The particle tracking model PyLag v0.7 is open-source software that can be accessed at https://github.com/pmlmodelling/pylag/. The online documentation contains tutorials on how to use the model to perform particle tracking simulations: https://pylag.readthedocs.io/en/latest/. Configuration and analysis code for both the plastic transfer and economic models can be accessed here: https://github.com/pmlmodelling/beaumont_et_al_plastics_econ.
Version History
Version 1posted 14 Nov, 2023