Decomposing energy poverty in three components

In this paper, we decompose a family of energy poverty indices into incidence, intensity and inequality among the poor. When continuous variables such as income are used, it is well known that any income poverty index should take into account these three poverty terms. Therefore, every energy povert...

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Detalhes bibliográficos
Autores: Aristondo Echeberria, Oihana, Onaindia Gerrikabeitia, Eneritz
Formato: artículo
Fecha de publicación:2023
País:España
Recursos:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/75042
Acesso em linha:http://hdl.handle.net/10810/75042
Access Level:acceso abierto
Palavra-chave:energy poverty
decompositions
incidence, Intensity and Inequality
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spelling Decomposing energy poverty in three componentsAristondo Echeberria, OihanaOnaindia Gerrikabeitia, Eneritzenergy povertydecompositionsincidence, Intensity and InequalityIn this paper, we decompose a family of energy poverty indices into incidence, intensity and inequality among the poor. When continuous variables such as income are used, it is well known that any income poverty index should take into account these three poverty terms. Therefore, every energy poverty measure should also take into account these three. We propose to follow an analogous idea to decompose a family of energy poverty indices in these three components. The novelty of this proposal is that the multidimensional family of energy poverty measures is applied to multiple dichotomous variables and not to a single continuous variable, when, to date, no decomposition has been proposed based on these types of variables. We then extend this decomposition to a further decomposition by population subgroups. In this way, we will be able to know more precisely the origins of energy poverty in order to implement more specific anti-poverty policies targeting the incidence, intensity or/and inequality among the energy poor. Finally, we apply the proposed decomposition to Spain in 2020 as regards certain individual and household characteristics, so as to identify the individuals most likely to suffer from energy poverty in the first year of the Covid-19 pandemic.Spanish Ministerio de Economía y Competitividad (project PID2019-107539GB-I00) Grant PID 2019-107539GB-I00 funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe for research support.Elsevier202520252023info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/75042reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/MICINN/PID2019-107539GB-I00/https://www.sciencedirect.com/science/article/pii/S0360544222024586info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/4.0/© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC licenseoai:addi.ehu.eus:10810/750422026-06-18T09:23:17Z
dc.title.none.fl_str_mv Decomposing energy poverty in three components
title Decomposing energy poverty in three components
spellingShingle Decomposing energy poverty in three components
Aristondo Echeberria, Oihana
energy poverty
decompositions
incidence, Intensity and Inequality
title_short Decomposing energy poverty in three components
title_full Decomposing energy poverty in three components
title_fullStr Decomposing energy poverty in three components
title_full_unstemmed Decomposing energy poverty in three components
title_sort Decomposing energy poverty in three components
dc.creator.none.fl_str_mv Aristondo Echeberria, Oihana
Onaindia Gerrikabeitia, Eneritz
author Aristondo Echeberria, Oihana
author_facet Aristondo Echeberria, Oihana
Onaindia Gerrikabeitia, Eneritz
author_role author
author2 Onaindia Gerrikabeitia, Eneritz
author2_role author
dc.subject.none.fl_str_mv energy poverty
decompositions
incidence, Intensity and Inequality
topic energy poverty
decompositions
incidence, Intensity and Inequality
description In this paper, we decompose a family of energy poverty indices into incidence, intensity and inequality among the poor. When continuous variables such as income are used, it is well known that any income poverty index should take into account these three poverty terms. Therefore, every energy poverty measure should also take into account these three. We propose to follow an analogous idea to decompose a family of energy poverty indices in these three components. The novelty of this proposal is that the multidimensional family of energy poverty measures is applied to multiple dichotomous variables and not to a single continuous variable, when, to date, no decomposition has been proposed based on these types of variables. We then extend this decomposition to a further decomposition by population subgroups. In this way, we will be able to know more precisely the origins of energy poverty in order to implement more specific anti-poverty policies targeting the incidence, intensity or/and inequality among the energy poor. Finally, we apply the proposed decomposition to Spain in 2020 as regards certain individual and household characteristics, so as to identify the individuals most likely to suffer from energy poverty in the first year of the Covid-19 pandemic.
publishDate 2023
dc.date.none.fl_str_mv 2023
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/75042
url http://hdl.handle.net/10810/75042
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MICINN/PID2019-107539GB-I00/
https://www.sciencedirect.com/science/article/pii/S0360544222024586
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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