Health and housing energy expenditures: a two-part model approach
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/74223 |
Resumo: | Interest in the interaction between energy and health within the built environment has been increasing in recent years, in the context of sustainable development. However, in order to promote health and wellbeing across all ages it is necessary to have a better understanding of the association between health and energy at household level. This study contributes to this debate by addressing the case of Portugal using data from the Household Budget Survey (HBS) microdata database. A two-part model is applied to estimate health expenditures based on energy-related expenditures, as well as socioeconomic variables. Additional statistical methods are used to enhance the perception of relevant predictors for health expenditures. Our findings suggest that given the high significance and coefficient value, energy expenditure is a relevant explanatory variable for health expenditures. This result is further validated by a dominance analysis ranking. Moreover, the results show that health gains and medical cost reductions can be a key factor to consider on the assessment of the economic viability of energy efficiency projects in buildings. This is particularly relevant for the older and low-income segments of the population. |
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Health and housing energy expenditures: a two-part model approachMicrodataEnergy expenditureHealth costsHouseholdsEnergy efficiencyDominance analysisScience & TechnologyInterest in the interaction between energy and health within the built environment has been increasing in recent years, in the context of sustainable development. However, in order to promote health and wellbeing across all ages it is necessary to have a better understanding of the association between health and energy at household level. This study contributes to this debate by addressing the case of Portugal using data from the Household Budget Survey (HBS) microdata database. A two-part model is applied to estimate health expenditures based on energy-related expenditures, as well as socioeconomic variables. Additional statistical methods are used to enhance the perception of relevant predictors for health expenditures. Our findings suggest that given the high significance and coefficient value, energy expenditure is a relevant explanatory variable for health expenditures. This result is further validated by a dominance analysis ranking. Moreover, the results show that health gains and medical cost reductions can be a key factor to consider on the assessment of the economic viability of energy efficiency projects in buildings. This is particularly relevant for the older and low-income segments of the population.This research was funded by FCT–Fundação para a Ciência e Tecnologia within MIT SES Portugal Doctoral Program under the scholarship PD/BD/128029/2016. This work has also been supported by FCT–Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoLima, FátimaFerreira, Paula VarandasLeal, Vítor2021-05-272021-05-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/74223engLima, F.; Ferreira, P.; Leal, V. Health and Housing Energy Expenditures: A Two-Part Model Approach. Processes 2021, 9, 943. https://doi.org/10.3390/pr90609432227-971710.3390/pr9060943https://www.mdpi.com/2227-9717/9/6/943info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:35:36Zoai:repositorium.sdum.uminho.pt:1822/74223Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:31:28.897661Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Health and housing energy expenditures: a two-part model approach |
title |
Health and housing energy expenditures: a two-part model approach |
spellingShingle |
Health and housing energy expenditures: a two-part model approach Lima, Fátima Microdata Energy expenditure Health costs Households Energy efficiency Dominance analysis Science & Technology |
title_short |
Health and housing energy expenditures: a two-part model approach |
title_full |
Health and housing energy expenditures: a two-part model approach |
title_fullStr |
Health and housing energy expenditures: a two-part model approach |
title_full_unstemmed |
Health and housing energy expenditures: a two-part model approach |
title_sort |
Health and housing energy expenditures: a two-part model approach |
author |
Lima, Fátima |
author_facet |
Lima, Fátima Ferreira, Paula Varandas Leal, Vítor |
author_role |
author |
author2 |
Ferreira, Paula Varandas Leal, Vítor |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Lima, Fátima Ferreira, Paula Varandas Leal, Vítor |
dc.subject.por.fl_str_mv |
Microdata Energy expenditure Health costs Households Energy efficiency Dominance analysis Science & Technology |
topic |
Microdata Energy expenditure Health costs Households Energy efficiency Dominance analysis Science & Technology |
description |
Interest in the interaction between energy and health within the built environment has been increasing in recent years, in the context of sustainable development. However, in order to promote health and wellbeing across all ages it is necessary to have a better understanding of the association between health and energy at household level. This study contributes to this debate by addressing the case of Portugal using data from the Household Budget Survey (HBS) microdata database. A two-part model is applied to estimate health expenditures based on energy-related expenditures, as well as socioeconomic variables. Additional statistical methods are used to enhance the perception of relevant predictors for health expenditures. Our findings suggest that given the high significance and coefficient value, energy expenditure is a relevant explanatory variable for health expenditures. This result is further validated by a dominance analysis ranking. Moreover, the results show that health gains and medical cost reductions can be a key factor to consider on the assessment of the economic viability of energy efficiency projects in buildings. This is particularly relevant for the older and low-income segments of the population. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-27 2021-05-27T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/74223 |
url |
http://hdl.handle.net/1822/74223 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Lima, F.; Ferreira, P.; Leal, V. Health and Housing Energy Expenditures: A Two-Part Model Approach. Processes 2021, 9, 943. https://doi.org/10.3390/pr9060943 2227-9717 10.3390/pr9060943 https://www.mdpi.com/2227-9717/9/6/943 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799132823006740480 |