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dc.contributor.authorAntepara López de Maturana, Iñigo
dc.contributor.authorPapada, Lefkothea
dc.contributor.authorGouveia, João Pedro
dc.contributor.authorKatsoulakos, Nikolas
dc.contributor.authorKaliampakos, Dimitris
dc.date.accessioned2024-02-08T11:15:50Z
dc.date.available2024-02-08T11:15:50Z
dc.date.issued2020-07-16
dc.identifier.citationSustainability 12 : (2020) // Article ID 5721es_ES
dc.identifier.issn2071-1050
dc.identifier.urihttp://hdl.handle.net/10810/65503
dc.description.abstractIn many European countries, energy poverty is measured on the basis of real energy bills, as theoretical energy costs are hard to calculate. The UK is an exception—the data inputs for the Low Income-High Cost (LIHC) indicator are based on reasonable energy costs, these data are collected through specially designed surveys, often an intensive and costly procedure. Approaches which calculate energy needs are valid when energy bill data are unreliable or where households restrict consumption. In this analysis, energy poverty levels are evaluated for Greece, the municipality of Évora (Portugal), and the Basque Country (Spain): energy bills are modeled based on building energy performance data and other energy uses, and adjusted according to socio-demographic variables. To this end, equivalization weights are calculated using socio-economic data from the aforementioned southern European countries/regions. Data are analyzed to compare measurements with actual versus modeled bills using the Ten-Percent Rule (TPR) and Hidden Energy Poverty (HEP) against twice the median (2M) indicator, enhancing the identification of households with low energy consumption. In conclusion, theoretical energy needs can be combined with socio-demographic data instead of actual energy bills to measure energy poverty in a simplified way, avoiding the problem of targeting households that under consume.es_ES
dc.description.sponsorshipIñigo Antepara thanks the ENGAGER Action CA16232 “European Energy Poverty: Agenda Co-Creation and Knowledge Innovation” for the Short Term Scientific Mission scholarship awarded that was completed during March–April 2018 at NTUA, Athens (Greece). João Pedro Gouveia acknowledge and thank the support given to CENSE by the Portuguese Foundation for Science and Technology (FCT) through the strategic project UIDB/04085/2020. The paper stems from collaborative work within COST Action ‘European Energy Poverty: Agenda Co-Creation and Knowledge Innovation’ (ENGAGER 2017–2021, CA16232) funded by European Cooperation in Science and Technology—www.cost.eu.es_ES
dc.language.isoenges_ES
dc.relationinfo:eu-repo/grantAgreement/EC/ENGAGER/CA16232
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectenergy povertyes_ES
dc.subjectmodeled energy costses_ES
dc.subjectTPRes_ES
dc.subjectHEPes_ES
dc.subjectequivalization coefficientses_ES
dc.subjectunder consumptiones_ES
dc.subjectGreecees_ES
dc.subjectPortugales_ES
dc.subjectSpaines_ES
dc.titleImproving energy poverty measurement in Southern European Regions through equivalisation of theoretical energy costses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
dc.relation.publisherversionhttps://www.mdpi.com/2071-1050/12/14/5721
dc.identifier.doi/10.3390/su12145721
dc.contributor.funderEuropean Commission
dc.departamentoesEconomía aplicada Ies_ES
dc.departamentoeuEkonomia aplikatua Ies_ES


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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
Except where otherwise noted, this item's license is described as © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license