Health and Housing Energy Expenditures: A Two-Part Model Approach

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 betwe...

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Main Authors: Fátima Lima, Paula Ferreira, Vítor Leal
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Processes
Subjects:
Online Access:https://www.mdpi.com/2227-9717/9/6/943
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spelling doaj-9e96fe383b064995908a163fb90e211a2021-06-01T01:17:04ZengMDPI AGProcesses2227-97172021-05-01994394310.3390/pr9060943Health and Housing Energy Expenditures: A Two-Part Model ApproachFátima Lima0Paula Ferreira1Vítor Leal2Faculty of Engineering (FEUP), University of Porto, 4200-026 Porto, PortugalALGORITMI Research Centre, School of Engineering Campus de Azurém, University of Minho, 4800-058 Guimarães, PortugalDepartment of Mechanical Engineering, Faculty of Engineering (FEUP), Institute of Science and Innovation in Mechanical Engineering and Management Engineering (INEGI), University of Porto, 4200-465 Porto, PortugalInterest 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.https://www.mdpi.com/2227-9717/9/6/943microdataenergy expenditurehealth costshouseholdsenergy efficiencydominance analysis
collection DOAJ
language English
format Article
sources DOAJ
author Fátima Lima
Paula Ferreira
Vítor Leal
spellingShingle Fátima Lima
Paula Ferreira
Vítor Leal
Health and Housing Energy Expenditures: A Two-Part Model Approach
Processes
microdata
energy expenditure
health costs
households
energy efficiency
dominance analysis
author_facet Fátima Lima
Paula Ferreira
Vítor Leal
author_sort Fátima Lima
title Health and Housing Energy Expenditures: A Two-Part Model Approach
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
publisher MDPI AG
series Processes
issn 2227-9717
publishDate 2021-05-01
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.
topic microdata
energy expenditure
health costs
households
energy efficiency
dominance analysis
url https://www.mdpi.com/2227-9717/9/6/943
work_keys_str_mv AT fatimalima healthandhousingenergyexpendituresatwopartmodelapproach
AT paulaferreira healthandhousingenergyexpendituresatwopartmodelapproach
AT vitorleal healthandhousingenergyexpendituresatwopartmodelapproach
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