Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/320157 
Erscheinungsjahr: 
2020
Quellenangabe: 
[Journal:] The European Journal of Comparative Economics (EJCE) [ISSN:] 1824-2979 [Volume:] 17 [Issue:] 1 [Year:] 2020 [Pages:] 127-151
Verlag: 
University Carlo Cattaneo (LIUC), Castellanza
Zusammenfassung: 
This article provides new evidence on various factors that affect residential energy consumption in France. We model the consumption of residential energy in dwellings and apply a bottom-up statistical approach. Our quantile regression model uses an innovative variable selection method via the adaptive elastic net regularization technique. The empirical estimates are based on responses to the PHEBUS survey. The aim is to untangle the effects of dwelling, socio-economic and behavior-related factors on the household energy consumption,for different levels of energy use. Our findings demonstrate that cross-sectional variation in residential energy consumption is a function of the building's technical characteristics and the household's socio-economic attributes and behavior. The analysis suggests that the effect of the household's dwelling, demographic and socioeconomic attributes on its energy consumption differs across quantiles. We propose some measures and empirical methods that allow a deeper understandingof the factors affecting energy use which should be informative for policy making aimed at reducing residential energy demand.
Schlagwörter: 
Residential energy consumption
Household energy use
Behavior
Energy efficiency
Quantile regression
Adaptive elastic net
JEL: 
C2
D1
Q41
Q48
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
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