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Replication package for "Efficient, Fair and Stable Agreements for Marine Plastic Pollution
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This paper isn't actually about human health effects of plastic—it's a data and methods package for an economics study that models how countries could fairly share the costs of cleaning up ocean plastic pollution, using data on which countries produce plastic waste that ends up in whose waters. While it doesn't directly address health impacts, tackling marine plastic pollution matters because plastic debris breaks down into microplastics that enter the food chain and have been found in human blood, tissue, and organs, with still-unclear long-term health effects.
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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Replication package for "Efficient, Fair and Stable Agreements for Marine Plastic Pollution
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