Vulnerability to energy poverty in Portugal: determinants and regional differences

Detalhes bibliográficos
Autor(a) principal: Dietrich, Til
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/127198
Resumo: Despite having a mild climate, Portugal leads the list on excess winter mortality and is among the EU countries with the highest energy poverty level. This study explores which households ’characteristics influence their vulnerability to being energy-poor and checks for regional differences. It employs 2015 HBS data in a logistic regression model, with the expenditure-based 2Mindicator being the dependent variable. The results suggest that, on an aggregate revel, retired, single individuals without children living in a large, rented detached house in a rural area are most vulnerable. Furthermore, there is regional variation along the tested dimensions.
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spelling Vulnerability to energy poverty in Portugal: determinants and regional differencesEnergy povertyFuel povertyVulnerable householdsRegional differentiationDomínio/Área Científica::Ciências Sociais::Economia e GestãoDespite having a mild climate, Portugal leads the list on excess winter mortality and is among the EU countries with the highest energy poverty level. This study explores which households ’characteristics influence their vulnerability to being energy-poor and checks for regional differences. It employs 2015 HBS data in a logistic regression model, with the expenditure-based 2Mindicator being the dependent variable. The results suggest that, on an aggregate revel, retired, single individuals without children living in a large, rented detached house in a rural area are most vulnerable. Furthermore, there is regional variation along the tested dimensions.Cunha-e-Sá, Maria AntonietaRUNDietrich, Til2021-05-272021-01-042024-01-04T00:00:00Z2021-05-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/127198TID:202770702enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-10T16:03:22ZPortal AgregadorONG
dc.title.none.fl_str_mv Vulnerability to energy poverty in Portugal: determinants and regional differences
title Vulnerability to energy poverty in Portugal: determinants and regional differences
spellingShingle Vulnerability to energy poverty in Portugal: determinants and regional differences
Dietrich, Til
Energy poverty
Fuel poverty
Vulnerable households
Regional differentiation
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Vulnerability to energy poverty in Portugal: determinants and regional differences
title_full Vulnerability to energy poverty in Portugal: determinants and regional differences
title_fullStr Vulnerability to energy poverty in Portugal: determinants and regional differences
title_full_unstemmed Vulnerability to energy poverty in Portugal: determinants and regional differences
title_sort Vulnerability to energy poverty in Portugal: determinants and regional differences
author Dietrich, Til
author_facet Dietrich, Til
author_role author
dc.contributor.none.fl_str_mv Cunha-e-Sá, Maria Antonieta
RUN
dc.contributor.author.fl_str_mv Dietrich, Til
dc.subject.por.fl_str_mv Energy poverty
Fuel poverty
Vulnerable households
Regional differentiation
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Energy poverty
Fuel poverty
Vulnerable households
Regional differentiation
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description Despite having a mild climate, Portugal leads the list on excess winter mortality and is among the EU countries with the highest energy poverty level. This study explores which households ’characteristics influence their vulnerability to being energy-poor and checks for regional differences. It employs 2015 HBS data in a logistic regression model, with the expenditure-based 2Mindicator being the dependent variable. The results suggest that, on an aggregate revel, retired, single individuals without children living in a large, rented detached house in a rural area are most vulnerable. Furthermore, there is regional variation along the tested dimensions.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-27
2021-01-04
2021-05-27T00:00:00Z
2024-01-04T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/127198
TID:202770702
url http://hdl.handle.net/10362/127198
identifier_str_mv TID:202770702
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv
repository.mail.fl_str_mv
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