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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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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1721412672486899712 |