Identifying Energy-Poor Households with Publicly Available Information: Promising Practices and Lessons Learned from the Athens Urban Area, Greece

Elpida Kalfountzou, Christos Tourkolias, Sevastianos Mirasgedis and Dimitris Damigos ()
Additional contact information
Elpida Kalfountzou: School of Mining and Metallurgical Engineering, National Technical University of Athens, Zografou Campus, 15772 Zografou, Greece
Christos Tourkolias: Centre for Renewable Energy Sources and Saving, 19009 Pikermi Attiki, Greece
Sevastianos Mirasgedis: Institute for Environmental Research & Sustainable Development, National Observatory of Athens, 15236 Palea Penteli, Greece
Dimitris Damigos: School of Mining and Metallurgical Engineering, National Technical University of Athens, Zografou Campus, 15772 Zografou, Greece

Energies, 2024, vol. 17, issue 4, 1-16

Abstract: Energy poverty (EP) has emerged as a significant and multifaceted social challenge, both in Europe and globally, in recent years. Given the constraints of limited public resources, it is imperative that policies addressing EP focus on the most socially vulnerable households. To this end, effective policies necessitate a thorough understanding of the key characteristics defining households affected by this phenomenon. This research aims to contribute to the identification of energy-poor households by examining both established and novel EP indicators, utilizing the Athens urban area as a case study. The study employs the official EP indicator utilized in Greece, alongside three newly developed indicators. These indicators constitute essential components in the formulation of multivariate binary logistic regression models. The models incorporate predictors derived from existing government databases, encompassing household and building characteristics. From a policy perspective, this research introduces novel approaches for addressing EP, as the models and two of the newly introduced indicators demonstrate promising results in identifying energy-poor households. Importantly, this identification can be achieved without the need for primary questionnaire surveys or the compilation of complex information.

Keywords: energy poverty; energy poverty indicators; energy retrofit (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/4/919/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/4/919/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:4:p:919-:d:1339649

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().