TY - UNPB
T1 - Persistent and Transient Energy Poverty
T2 - A Multi-Level Analysis in Spain
AU - Pourkhanali, Armin
AU - Kholghi, Donya
AU - Llorca, Manuel
AU - Jamasb, Tooraj
PY - 2023/9
Y1 - 2023/9
N2 - This empirical analysis investigates the determinants and dynamics of energy poverty in Spain using a combination of traditional regression models and machine learning techniques. The study identifies significant determinants of energy poverty, including income, housing type, education level, and health conditions. Findings demonstrate that lower income, specific housing types, and lower education levels increase the likelihood of energy poverty. This study also investigates the dynamics of energy poverty, and the results show the coexistence of both transient and persistent aspects of energy poverty. 35% of Spanish households struggled to maintain adequate warmth in their homes during at least one period from 2016 to 2021. While a small portion (5%) experienced chronic energy poverty, indicating their inability to maintain their home adequate warmth throughout the 70% sample period. Finally, the study offers valuable insights into the dynamics and drivers of energy poverty. It underscores both its temporary and persistent characteristics, in addition to the impact of socioeconomic factors.
AB - This empirical analysis investigates the determinants and dynamics of energy poverty in Spain using a combination of traditional regression models and machine learning techniques. The study identifies significant determinants of energy poverty, including income, housing type, education level, and health conditions. Findings demonstrate that lower income, specific housing types, and lower education levels increase the likelihood of energy poverty. This study also investigates the dynamics of energy poverty, and the results show the coexistence of both transient and persistent aspects of energy poverty. 35% of Spanish households struggled to maintain adequate warmth in their homes during at least one period from 2016 to 2021. While a small portion (5%) experienced chronic energy poverty, indicating their inability to maintain their home adequate warmth throughout the 70% sample period. Finally, the study offers valuable insights into the dynamics and drivers of energy poverty. It underscores both its temporary and persistent characteristics, in addition to the impact of socioeconomic factors.
KW - Transient and persistent energy poverty
KW - Self-assessed health
KW - Dynamic random effects probit
KW - Machine learning
KW - Transient and persistent energy poverty
KW - Self-assessed health
KW - Dynamic random effects probit
KW - Machine learning
M3 - Working paper
T3 - Working Paper / Department of Economics. Copenhagen Business School
BT - Persistent and Transient Energy Poverty
PB - Copenhagen Business School [wp]
CY - Frederiksberg
ER -