{"type":"script","doc_desc":{"producers":[{"name":"San Martin","abbr":"LESM","affiliation":"World Bank","role":"Junior data scientist"}],"prod_date":"2023-10-11","version":"1"},"project_desc":{"title_statement":{"idno":"RR_AFR_2023_17-v01","title":"Reproducibility package for A Fish Cartel for Africa"},"authoring_entity":[{"name":"Gabriel Englander","affiliation":"World Bank","email":"aenglander@worldbank.org"},{"name":"Christopher Costello","affiliation":"Environmental Markets Lab, Bren School of Environmental Science and Management","email":"costello@bren.ucsb.edu"}],"production_date":"2023-09","abstract":"Many countries sell fishing rights to foreign nations and fishers. Although African coastal waters are among the world\u2019s most biologically rich, African countries earn much less than their peers from selling access to foreign fishers. African countries sell fishing access individually (in contrast to some Pacific countries who sell access as a bloc). We develop a bilateral oligopoly model to simulate the effects of an African fish cartel. The model shows that wielding market power entails both ecological and economic dimensions. Africa would substantially restrict access catch, which raises biomass by 16%. But this also confers economic benefits to all African nations, raising profits by an average of 23%. These benefits arise because market power shifts from foreign buyers to African sellers. While impediments to sustainable development like corruption are hard to change in the medium-term, deeper African integration is an already-emerging solution to African countries\u2019 economic and ecological challenges.","geographic_units":[{"name":"Africa","code":"AFR"}],"output":[{"type":"Working Paper","title":"A fish cartel for Africa","authors":"Gabriel Englander, Christopher Costello","description":"Policy Research Working Paper (PRWP)","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099528011032341633\/IDU044b7309903a1b0401f097e406532c42b6cc4","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10594"}],"language":[{"name":"English","code":"EN"}],"datasets":[{"name":"World Bank Open Data on Consumer Price Indices","uri":"https:\/\/data.worldbank.org\/indicator\/FP.CPI.TOTL","note":"Data was downloaded on December 1, 2021"},{"name":"Pacific Islands Forum Fisheries Agency data on PNA countries' access fee revenue","uri":"https:\/\/www.ffa.int\/node\/2596","note":"Data was downloaded on September 23, 2021"},{"name":"Global Fishing Watch data on fishing vessels and fishing activity","uri":"https:\/\/globalfishingwatch.org\/datasets-and-code\/","note":"Data was downloaded on April 7, 2022"},{"name":"Pacific Islands Forum Fisheries Agency data on catch in PNA countries' waters","uri":"https:\/\/www.ffa.int\/node\/2721","note":"Data was downloaded on August 9, 2022"},{"name":"Sea Around US data on catch in African and PNA countries' waters","uri":"https:\/\/www.seaaroundus.org\/data\/#\/eez","note":"Replicators who wish to re-download the raw data must manually click on each country, and then click \"Download Data\" for that country."},{"name":"Flanders Marine Institute data on countries' Exclusive Economic Zones","uri":"https:\/\/www.marineregions.org\/downloads.php","note":"Data was downloaded on September 23, 2021"}],"software":[{"name":"R","version":"4.2.1"}],"scripts":[{"file_name":"RR_AFR_2023_17-v01","zip_package":"RR_AFR_2023_17-v01.zip","title":"Reproducibility package (code and data) for A fish cartel for Africa","date":"2023-10","software":"R","dependencies":"All dependencies are stored in the renv.lock file in the reproducibility package.","instructions":"See README in reproducibility package.","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank."}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"technology_environment":"Paper exhibits were reproduced in one computer with the following specifications:\n\u2022 OS: Windows 10 Enterprise, version 21H2\n\u2022 Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.9GHz (20 CPUs)\n\u2022 Memory available: 128 GB\n\u2022 Software version: R 4.2.1","technology_requirements":"~75 hours runtime. This can be reduced by using more cores in some of the scripts of the reproducibility package. The README describes how to modify the number of cores used for computation.","disclaimer":"The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development\/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.","license":[{"name":"Modified BSD3","uri":"\thttps:\/\/opensource.org\/license\/bsd-3-clause\/"}],"contacts":[{"name":"Gabriel Englander","affiliation":"World Bank","email":"aenglander@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"data_statement":"All data is public and contained in the reproducibility package. Please refer to the README file for full details."},"tags":[{"tag":"DOI"}],"schematype":"script"}