Persistent and Transient Energy Poverty: A Multi-Level Analysis in Spain

Armin Pourkhanali, Donya Kholghi, Manuel Llorca*, Tooraj Jamasb

*Corresponding author for this work

Research output: Working paperResearch

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Abstract

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.
Original languageEnglish
Place of PublicationFrederiksberg
PublisherCopenhagen Business School [wp]
Number of pages32
Publication statusPublished - Sept 2023
SeriesWorking Paper / Department of Economics. Copenhagen Business School
Number09-2023
SeriesCSEI Working Paper
Number2023-10

Keywords

  • Transient and persistent energy poverty
  • Self-assessed health
  • Dynamic random effects probit
  • Machine learning

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