A global dataset on subsidies to the fisheries sector.

Capacity-enhancing Fisheries Fisheries management Fuel subsidies Overcapacity Overfishing Subsidies World Trade Organization

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Dec 2019
Historique:
received: 03 10 2019
accepted: 16 10 2019
entrez: 31 12 2019
pubmed: 31 12 2019
medline: 31 12 2019
Statut: epublish

Résumé

This article contains data on subsidies provided to the fisheries sector by maritime countries. The dataset is the culmination of extensive data collection efforts using peer-reviewed and grey literature, national budgets, online databases, websites and other relevant sources (e.g. OECD, World Bank and WTO), in order to estimate the scope and magnitude of global fisheries subsidies. For subsidies where we found evidence of expenditure by a country, we record the total amount alongside the source references and refer to these as 'reported' data. Where evidence is found that a country provides a subsidy but no amount reported, we estimate using various approaches and refer to these as 'modeled' data. Where evidence exists that no subsidy is provided by a country we refer to these null values as 'not found evidence of subsidy'. All amounts were converted to constant 2018 USD using 2017 exchange rates and annual Consumer Price Index averages. The final dataset of 'reported', 'modeled' and 'not found' subsidies for 2018 consists of 13 subsidy types across 152 maritime countries. The dataset, first developed in the early 2000s, now forms part of the global fisheries management infrastructure and is a central tool used by WTO negotiators. The data we provide may be used to support local, regional and global fisheries management decision-making and may have further uses when analysed in combination with other fisheries related data. Interpretation of these data can be found in the associated research article titled "

Identifiants

pubmed: 31886327
doi: 10.1016/j.dib.2019.104706
pii: S2352-3409(19)31061-3
pii: 104706
pmc: PMC6920478
doi:

Types de publication

Journal Article

Langues

eng

Pagination

104706

Informations de copyright

Crown Copyright © 2019 Published by Elsevier Inc.

Références

Proc Natl Acad Sci U S A. 2004 Jun 29;101(26):9694-7
pubmed: 15205483
PLoS One. 2015 Mar 20;10(3):e0118351
pubmed: 25793775

Auteurs

U Rashid Sumaila (UR)

Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada.
School of Public Policy and Global Affairs, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada.

Daniel Skerritt (D)

Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada.

Anna Schuhbauer (A)

Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada.

Naazia Ebrahim (N)

Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada.

Yang Li (Y)

Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada.
Ocean University, China.

Hong Sik Kim (HS)

Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada.

Tabitha Grace Mallory (TG)

China Ocean Institute and University of Washington, United States.

Vicky W L Lam (VWL)

Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada.

Daniel Pauly (D)

Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada.

Classifications MeSH