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Dataset for multidimensional assessment to incentivise decentralised energy investments in Sub-Saharan Africa

In this data article, we present datasets from the construction of a composite indicator, the Photovoltaic Decentralised Energy Investment (PV-DEI) index, presented in detail in [1]. This article consists of a comprehensive energy-related data collected in practice from several sources, and from the...

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Detalles Bibliográficos
Autores principales: Bender, A., Moner-Girona, M., Becker, W., Bódis, K., Szabó, S., Kararach, A.G., Anadon, L.D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327156/
https://www.ncbi.nlm.nih.gov/pubmed/34377755
http://dx.doi.org/10.1016/j.dib.2021.107265
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author Bender, A.
Moner-Girona, M.
Becker, W.
Bódis, K.
Szabó, S.
Kararach, A.G.
Anadon, L.D.
author_facet Bender, A.
Moner-Girona, M.
Becker, W.
Bódis, K.
Szabó, S.
Kararach, A.G.
Anadon, L.D.
author_sort Bender, A.
collection PubMed
description In this data article, we present datasets from the construction of a composite indicator, the Photovoltaic Decentralised Energy Investment (PV-DEI) index, presented in detail in [1]. This article consists of a comprehensive energy-related data collected in practice from several sources, and from the outputs of the methodology described in [1]. The PV-DEI was designed and developed to measure the multidimensional factors that currently direct decentralised renewable energy investments. The PV-DEI index includes 52 indicators and was constructed because factors stimulating investment cannot be captured by a single indicator, e.g. competitiveness, affordability, or governance [1]. The PV-DEI index was built in alignment with a theoretical framework guided by an extensive review of the literature surrounding investment in decentralised Photovoltaic (PV), which led to the selection of its indicators. The structure of the PV-DEI was evaluated for its soundness using correlational assessments and principal component analyses (PCA). The raw data provided in this article can enable stakeholders to focus on specific country indicators, and how scores on these indicators contributed to a countries overall rank within the PV-DEI index. The data can be used to weight indicators depending on the specifications of several different stakeholders (such as NGOs, private sector or international institutions).
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spelling pubmed-83271562021-08-09 Dataset for multidimensional assessment to incentivise decentralised energy investments in Sub-Saharan Africa Bender, A. Moner-Girona, M. Becker, W. Bódis, K. Szabó, S. Kararach, A.G. Anadon, L.D. Data Brief Data Article In this data article, we present datasets from the construction of a composite indicator, the Photovoltaic Decentralised Energy Investment (PV-DEI) index, presented in detail in [1]. This article consists of a comprehensive energy-related data collected in practice from several sources, and from the outputs of the methodology described in [1]. The PV-DEI was designed and developed to measure the multidimensional factors that currently direct decentralised renewable energy investments. The PV-DEI index includes 52 indicators and was constructed because factors stimulating investment cannot be captured by a single indicator, e.g. competitiveness, affordability, or governance [1]. The PV-DEI index was built in alignment with a theoretical framework guided by an extensive review of the literature surrounding investment in decentralised Photovoltaic (PV), which led to the selection of its indicators. The structure of the PV-DEI was evaluated for its soundness using correlational assessments and principal component analyses (PCA). The raw data provided in this article can enable stakeholders to focus on specific country indicators, and how scores on these indicators contributed to a countries overall rank within the PV-DEI index. The data can be used to weight indicators depending on the specifications of several different stakeholders (such as NGOs, private sector or international institutions). Elsevier 2021-07-14 /pmc/articles/PMC8327156/ /pubmed/34377755 http://dx.doi.org/10.1016/j.dib.2021.107265 Text en © 2021 The Authors. Published by Elsevier Inc. https://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
Bender, A.
Moner-Girona, M.
Becker, W.
Bódis, K.
Szabó, S.
Kararach, A.G.
Anadon, L.D.
Dataset for multidimensional assessment to incentivise decentralised energy investments in Sub-Saharan Africa
title Dataset for multidimensional assessment to incentivise decentralised energy investments in Sub-Saharan Africa
title_full Dataset for multidimensional assessment to incentivise decentralised energy investments in Sub-Saharan Africa
title_fullStr Dataset for multidimensional assessment to incentivise decentralised energy investments in Sub-Saharan Africa
title_full_unstemmed Dataset for multidimensional assessment to incentivise decentralised energy investments in Sub-Saharan Africa
title_short Dataset for multidimensional assessment to incentivise decentralised energy investments in Sub-Saharan Africa
title_sort dataset for multidimensional assessment to incentivise decentralised energy investments in sub-saharan africa
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327156/
https://www.ncbi.nlm.nih.gov/pubmed/34377755
http://dx.doi.org/10.1016/j.dib.2021.107265
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