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Replication package for "Efficient, Fair and Stable Agreements for Marine Plastic Pollution

Mendeley Data 2026
Christopher Stapenhurst

Summary

Note: this paper is actually about economics and international policy, not human health directly — it's a technical replication package (data and code) for a study on how countries could fairly split the costs of cleaning up ocean plastic pollution. Here's an accurate summary: Researchers built a mathematical model to figure out how countries could team up to tackle ocean plastic pollution in a way that's fair, cost-effective, and something every country would actually want to stick with (rather than dropping out of the deal). This matters because plastic waste — including the microplastics that end up in our food, water, and even our bodies — crosses borders freely, so cleaning it up requires

Polymers

Replication package for "Efficient, Fair and Stable Agreements for Marine Plastic Pollution". Raw_data_inputs contains the two external sources used: World Bank GNI (PPP, current international $; indicator NY.GNP.MKTP.PP.CD) and the country-to-country marine plastic transport statistics of Chassignet, Xu & Zavala-Romero (2021, Frontiers in Marine Science, CC BY 4.0). Model_Primitives contains the model inputs constructed from the raw data: the transport matrix and the willingness-to-pay vector. Main_Results contains unrounded copies of the tables and figures displayed in the paper. EFS_replication_code.nb is the Mathematica Notebook used to build the primitives from the raw data and compute the paper's allocations and stability analysis from the primitives.

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