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Dataset for analysing the relationships among economic growth, fossil fuel and non-fossil fuel consumption

The data presented in this article are related to the research article entitled ‘Economic Growth, Fossil Fuel and Non-Fossil Consumption: A Pooled Mean Group Analysis using Proxies for Capital’ (J. Asafu-Adjaye, D. Byrne, M. Alvarez, 2016) [1]. This article describes data modified from three publicl...

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Detalles Bibliográficos
Autores principales: Asafu-Adjaye, John, Byrne, Dominic, Alvarez, Maximiliano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133642/
https://www.ncbi.nlm.nih.gov/pubmed/27942560
http://dx.doi.org/10.1016/j.dib.2016.11.076
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author Asafu-Adjaye, John
Byrne, Dominic
Alvarez, Maximiliano
author_facet Asafu-Adjaye, John
Byrne, Dominic
Alvarez, Maximiliano
author_sort Asafu-Adjaye, John
collection PubMed
description The data presented in this article are related to the research article entitled ‘Economic Growth, Fossil Fuel and Non-Fossil Consumption: A Pooled Mean Group Analysis using Proxies for Capital’ (J. Asafu-Adjaye, D. Byrne, M. Alvarez, 2016) [1]. This article describes data modified from three publicly available data sources: the World Bank׳s World Development Indicators (http://databank.worldbank.org/data/reports.aspx?source=world-development-indicators), the U.S. Energy Information Administration׳s International Energy Statistics (http://www.eia.gov/cfapps/ipdbproject/IEDIndex3.cfm?tid=44&pid=44&aid=2) and the Barro-Lee Educational Attainment Dataset (http://www.barrolee.com). These data can be used to examine the relationships between economic growth and different forms of energy consumption. The dataset is made publicly available to promote further analyses.
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spelling pubmed-51336422016-12-09 Dataset for analysing the relationships among economic growth, fossil fuel and non-fossil fuel consumption Asafu-Adjaye, John Byrne, Dominic Alvarez, Maximiliano Data Brief Data Article The data presented in this article are related to the research article entitled ‘Economic Growth, Fossil Fuel and Non-Fossil Consumption: A Pooled Mean Group Analysis using Proxies for Capital’ (J. Asafu-Adjaye, D. Byrne, M. Alvarez, 2016) [1]. This article describes data modified from three publicly available data sources: the World Bank׳s World Development Indicators (http://databank.worldbank.org/data/reports.aspx?source=world-development-indicators), the U.S. Energy Information Administration׳s International Energy Statistics (http://www.eia.gov/cfapps/ipdbproject/IEDIndex3.cfm?tid=44&pid=44&aid=2) and the Barro-Lee Educational Attainment Dataset (http://www.barrolee.com). These data can be used to examine the relationships between economic growth and different forms of energy consumption. The dataset is made publicly available to promote further analyses. Elsevier 2016-11-26 /pmc/articles/PMC5133642/ /pubmed/27942560 http://dx.doi.org/10.1016/j.dib.2016.11.076 Text en © 2016 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 Data Article
Asafu-Adjaye, John
Byrne, Dominic
Alvarez, Maximiliano
Dataset for analysing the relationships among economic growth, fossil fuel and non-fossil fuel consumption
title Dataset for analysing the relationships among economic growth, fossil fuel and non-fossil fuel consumption
title_full Dataset for analysing the relationships among economic growth, fossil fuel and non-fossil fuel consumption
title_fullStr Dataset for analysing the relationships among economic growth, fossil fuel and non-fossil fuel consumption
title_full_unstemmed Dataset for analysing the relationships among economic growth, fossil fuel and non-fossil fuel consumption
title_short Dataset for analysing the relationships among economic growth, fossil fuel and non-fossil fuel consumption
title_sort dataset for analysing the relationships among economic growth, fossil fuel and non-fossil fuel consumption
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133642/
https://www.ncbi.nlm.nih.gov/pubmed/27942560
http://dx.doi.org/10.1016/j.dib.2016.11.076
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