Next Article in Journal
Planning of High Renewable-Penetrated Distribution Systems Considering Complementarity and Cluster Partitioning
Previous Article in Journal
A Practical Method for Speeding up the Cavitation Prediction in an Industrial Double-Suction Centrifugal Pump
Open AccessFeature PaperArticle

Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach

Department of Applied Economics (Econometrics), Universidad Autónoma de Madrid (UAM), 28049 Madrid, Spain
*
Author to whom correspondence should be addressed.
Energies 2019, 12(11), 2089; https://doi.org/10.3390/en12112089
Received: 29 April 2019 / Revised: 23 May 2019 / Accepted: 28 May 2019 / Published: 31 May 2019
The main objective of this article is to explore the causes of household electricity poverty in Spain from an innovative perspective. Based on evidence of energy inequality across households with different income levels, a quantile regression approach was used to better capture the heterogeneity of determinants of energy poverty across different levels of electricity expenditure. The results illustrate some interesting and counter-intuitive findings about the relationship between household income and electricity poverty, and the technical efficiency of quantile regression compared to the imprecise results of a standard single coefficient/OLS approach. View Full-Text
Keywords: electricity poverty; quantile regression electricity poverty; quantile regression
Show Figures

Figure 1

MDPI and ACS Style

de Arce, R.; Mahía, R. Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach. Energies 2019, 12, 2089.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop