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Public numbers on monetary valuation of fish landings

This article presents a dataset that combines several time series of economic variables for Portugal, from 1969 to 2015, which can be used to accurately measure the change in value of different series in the fisheries sector. Raw data includes total nominal revenue from fish landings measured in tho...

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Detalles Bibliográficos
Autores principales: Goulart, Pedro, Veiga, Francisco J., Grilo, Catarina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988217/
https://www.ncbi.nlm.nih.gov/pubmed/29876384
http://dx.doi.org/10.1016/j.dib.2018.01.001
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author Goulart, Pedro
Veiga, Francisco J.
Grilo, Catarina
author_facet Goulart, Pedro
Veiga, Francisco J.
Grilo, Catarina
author_sort Goulart, Pedro
collection PubMed
description This article presents a dataset that combines several time series of economic variables for Portugal, from 1969 to 2015, which can be used to accurately measure the change in value of different series in the fisheries sector. Raw data includes total nominal revenue from fish landings measured in thousands of euros, a consumer price index, and the nominal exchange rate of the Portuguese escudo against the US dollar (only until 1998). We use these raw data series to correct for inflation and to produce information on fish landings measured in constant prices in euros and to discuss the impact of the exchange rate depreciation in the fish sector if measured in US dollars. Data was retrieved from publicly accessible sources such as Statistics Portugal (Instituto Nacional de Estatística, INE) for fish landing revenue, AMECO (European Commission) for Consumer Price Index data, and International Financial Statistics (International Monetary Fund) for exchange rate data. The dataset is useful to academics, policymakers and advocacy groups alike for understanding the real production of the fisheries sector.
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spelling pubmed-59882172018-06-06 Public numbers on monetary valuation of fish landings Goulart, Pedro Veiga, Francisco J. Grilo, Catarina Data Brief Environmental Science This article presents a dataset that combines several time series of economic variables for Portugal, from 1969 to 2015, which can be used to accurately measure the change in value of different series in the fisheries sector. Raw data includes total nominal revenue from fish landings measured in thousands of euros, a consumer price index, and the nominal exchange rate of the Portuguese escudo against the US dollar (only until 1998). We use these raw data series to correct for inflation and to produce information on fish landings measured in constant prices in euros and to discuss the impact of the exchange rate depreciation in the fish sector if measured in US dollars. Data was retrieved from publicly accessible sources such as Statistics Portugal (Instituto Nacional de Estatística, INE) for fish landing revenue, AMECO (European Commission) for Consumer Price Index data, and International Financial Statistics (International Monetary Fund) for exchange rate data. The dataset is useful to academics, policymakers and advocacy groups alike for understanding the real production of the fisheries sector. Elsevier 2018-01-06 /pmc/articles/PMC5988217/ /pubmed/29876384 http://dx.doi.org/10.1016/j.dib.2018.01.001 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Environmental Science
Goulart, Pedro
Veiga, Francisco J.
Grilo, Catarina
Public numbers on monetary valuation of fish landings
title Public numbers on monetary valuation of fish landings
title_full Public numbers on monetary valuation of fish landings
title_fullStr Public numbers on monetary valuation of fish landings
title_full_unstemmed Public numbers on monetary valuation of fish landings
title_short Public numbers on monetary valuation of fish landings
title_sort public numbers on monetary valuation of fish landings
topic Environmental Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988217/
https://www.ncbi.nlm.nih.gov/pubmed/29876384
http://dx.doi.org/10.1016/j.dib.2018.01.001
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