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[journal article]

dc.contributor.authorMenyhért, Bálintde
dc.date.accessioned2025-07-31T11:41:56Z
dc.date.available2025-07-31T11:41:56Z
dc.date.issued2024de
dc.identifier.issn0301-4215de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/104269
dc.description.abstractEnergy poverty measurement in the European Union is a topical issue as existing indicators are disconnected and provide only a partial view of energy-related deprivations. The analysis of unique joint SILC-HBS microdata from Hungary allows for the direct comparison and joint assessment of all headline indicators of energy poverty at the micro level, and yields a series of novel and policy-relevant insights. Importantly, this study finds that existing consensual and expenditure-based measures identify wholly different population segments as energy poor, with less than one third of energy poor households suffering from multiple forms of energy-related deprivations. Different indicators also diverge greatly in terms of incidence, seasonality, cross-country comparability, persistence as well as the socio-demographic background, housing arrangement and living conditions of those identified as energy poor. The presented findings suggest that much of energy poverty may remain hidden using the current data and measurement framework. This calls for new multi-dimensional approaches, the integration of European household surveys, and the exploration of alternative metrics based on the direct measurement of households' energy consumption.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherEnergy poverty; Statistical measurement; Household survey data; Indicator evaluation; EU-SILCde
dc.titleEnergy poverty in the European Union: The art of kaleidoscopic measurementde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalEnergy Policy
dc.source.volume190de
dc.publisher.countryNLDde
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozEnergiede
dc.subject.thesozenergyen
dc.subject.thesozArmutde
dc.subject.thesozpovertyen
dc.subject.thesozEUde
dc.subject.thesozEUen
dc.subject.thesozUngarnde
dc.subject.thesozHungaryen
dc.subject.thesozMessungde
dc.subject.thesozmeasurementen
dc.subject.thesozIndikatorde
dc.subject.thesozindicatoren
dc.identifier.urnurn:nbn:de:0168-ssoar-104269-0
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionFDBde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10035291
internal.identifier.thesoz10036765
internal.identifier.thesoz10041441
internal.identifier.thesoz10060698
internal.identifier.thesoz10036930
internal.identifier.thesoz10047129
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
internal.identifier.classoz10105
internal.identifier.journal2426
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1016/j.enpol.2024.114160de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.validfalse
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse


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