Energy Expenditure in Egypt: Empirical ...
Document type :
Pré-publication ou Document de travail: Autre communication scientifique (congrès sans actes - poster - séminaire...)
Title :
Energy Expenditure in Egypt: Empirical Evidence Based on A Quantile Regression Approach
Author(s) :
Belaid, Fateh [Auteur]
Université catholique de Lille [UCL]
Université Catholique de Lille - Faculté de gestion, économie et sciences [UCL FGES]
Lille économie management - UMR 9221 [LEM]
Rault, Christophe [Auteur]
Université catholique de Lille [UCL]
Université Catholique de Lille - Faculté de gestion, économie et sciences [UCL FGES]
Lille économie management - UMR 9221 [LEM]
Rault, Christophe [Auteur]
Publication date :
2020
English keyword(s) :
Residential energy expenditure
Energy efficiency
Quantile regression
Adaptive lasso
Egypt
Energy efficiency
Quantile regression
Adaptive lasso
Egypt
HAL domain(s) :
Environmental Sciences/Environment and Society
English abstract : [en]
This paper investigates the key factors affecting household energy expenditure in Egypt. Based upon the latest 2015 Egyptian HIECS Survey, we develop a quantile regression model with an innovative variable selection approach ...
Show more >This paper investigates the key factors affecting household energy expenditure in Egypt. Based upon the latest 2015 Egyptian HIECS Survey, we develop a quantile regression model with an innovative variable selection approach via Adaptive Lasso Regularization technique to untangle the spectrum of household energy expenditure. Unsurprisingly, income, age, household size, housing size, and employment status are salient predictors for energy expenditure. Housing characteristics have a moderate impact, while socioeconomic attributes have a much larger one. The largest variations in household energy expenditures in Egypt are mainly due to variations in income, household size, and housing type. Our findings document substantial differences in household energy expenditure, originating from the asymmetric tails of the energy expenditure distribution. This outcome highlights the added value of implementing quantile regression methods. Our empirical results have various interesting policy implications regarding residential energy efficiency and carbon emissions reduction in Egypt.Show less >
Show more >This paper investigates the key factors affecting household energy expenditure in Egypt. Based upon the latest 2015 Egyptian HIECS Survey, we develop a quantile regression model with an innovative variable selection approach via Adaptive Lasso Regularization technique to untangle the spectrum of household energy expenditure. Unsurprisingly, income, age, household size, housing size, and employment status are salient predictors for energy expenditure. Housing characteristics have a moderate impact, while socioeconomic attributes have a much larger one. The largest variations in household energy expenditures in Egypt are mainly due to variations in income, household size, and housing type. Our findings document substantial differences in household energy expenditure, originating from the asymmetric tails of the energy expenditure distribution. This outcome highlights the added value of implementing quantile regression methods. Our empirical results have various interesting policy implications regarding residential energy efficiency and carbon emissions reduction in Egypt.Show less >
Language :
Anglais
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