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International socioeconomic inequality drives trade patterns in the global wildlife market

The wildlife trade is a major cause of species loss and a pathway for disease transmission. Socioeconomic drivers of the wildlife trade are influential at the local scale yet rarely accounted for in multinational agreements aimed at curtailing international trade in threatened species. In recent dec...

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Autores principales: Liew, Jia Huan, Kho, Zi Yi, Lim, Rayson Bock Hing, Dingle, Caroline, Bonebrake, Timothy Carlton, Sung, Yik Hei, Dudgeon, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099177/
https://www.ncbi.nlm.nih.gov/pubmed/33952526
http://dx.doi.org/10.1126/sciadv.abf7679
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author Liew, Jia Huan
Kho, Zi Yi
Lim, Rayson Bock Hing
Dingle, Caroline
Bonebrake, Timothy Carlton
Sung, Yik Hei
Dudgeon, David
author_facet Liew, Jia Huan
Kho, Zi Yi
Lim, Rayson Bock Hing
Dingle, Caroline
Bonebrake, Timothy Carlton
Sung, Yik Hei
Dudgeon, David
author_sort Liew, Jia Huan
collection PubMed
description The wildlife trade is a major cause of species loss and a pathway for disease transmission. Socioeconomic drivers of the wildlife trade are influential at the local scale yet rarely accounted for in multinational agreements aimed at curtailing international trade in threatened species. In recent decades (1998–2018), approximately 421,000,000 threatened (i.e., CITES-listed) wild animals were traded between 226 nations/territories. The global trade network was more highly connected under conditions of greater international wealth inequality, when rich importers may have a larger economic advantage over poorer exporting nations/territories. Bilateral trade was driven primarily by socioeconomic factors at the supply end, with wealthier exporters likely to supply more animals to the global market. Our findings suggest that international policies for reducing the global wildlife trade should address inequalities between signatory states, possibly using incentive/compensation-driven programs modeled after other transnational environmental initiatives (e.g., REDD+).
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spelling pubmed-80991772021-05-14 International socioeconomic inequality drives trade patterns in the global wildlife market Liew, Jia Huan Kho, Zi Yi Lim, Rayson Bock Hing Dingle, Caroline Bonebrake, Timothy Carlton Sung, Yik Hei Dudgeon, David Sci Adv Research Articles The wildlife trade is a major cause of species loss and a pathway for disease transmission. Socioeconomic drivers of the wildlife trade are influential at the local scale yet rarely accounted for in multinational agreements aimed at curtailing international trade in threatened species. In recent decades (1998–2018), approximately 421,000,000 threatened (i.e., CITES-listed) wild animals were traded between 226 nations/territories. The global trade network was more highly connected under conditions of greater international wealth inequality, when rich importers may have a larger economic advantage over poorer exporting nations/territories. Bilateral trade was driven primarily by socioeconomic factors at the supply end, with wealthier exporters likely to supply more animals to the global market. Our findings suggest that international policies for reducing the global wildlife trade should address inequalities between signatory states, possibly using incentive/compensation-driven programs modeled after other transnational environmental initiatives (e.g., REDD+). American Association for the Advancement of Science 2021-05-05 /pmc/articles/PMC8099177/ /pubmed/33952526 http://dx.doi.org/10.1126/sciadv.abf7679 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Liew, Jia Huan
Kho, Zi Yi
Lim, Rayson Bock Hing
Dingle, Caroline
Bonebrake, Timothy Carlton
Sung, Yik Hei
Dudgeon, David
International socioeconomic inequality drives trade patterns in the global wildlife market
title International socioeconomic inequality drives trade patterns in the global wildlife market
title_full International socioeconomic inequality drives trade patterns in the global wildlife market
title_fullStr International socioeconomic inequality drives trade patterns in the global wildlife market
title_full_unstemmed International socioeconomic inequality drives trade patterns in the global wildlife market
title_short International socioeconomic inequality drives trade patterns in the global wildlife market
title_sort international socioeconomic inequality drives trade patterns in the global wildlife market
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099177/
https://www.ncbi.nlm.nih.gov/pubmed/33952526
http://dx.doi.org/10.1126/sciadv.abf7679
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