dc.contributor.author | Antepara López de Maturana, Iñigo | |
dc.contributor.author | Papada, Lefkothea | |
dc.contributor.author | Gouveia, João Pedro | |
dc.contributor.author | Katsoulakos, Nikolas | |
dc.contributor.author | Kaliampakos, Dimitris | |
dc.date.accessioned | 2024-02-08T11:15:50Z | |
dc.date.available | 2024-02-08T11:15:50Z | |
dc.date.issued | 2020-07-16 | |
dc.identifier.citation | Sustainability 12 : (2020) // Article ID 5721 | es_ES |
dc.identifier.issn | 2071-1050 | |
dc.identifier.uri | http://hdl.handle.net/10810/65503 | |
dc.description.abstract | In 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.sponsorship | Iñigo 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.iso | eng | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/ENGAGER/CA16232 | |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | energy poverty | es_ES |
dc.subject | modeled energy costs | es_ES |
dc.subject | TPR | es_ES |
dc.subject | HEP | es_ES |
dc.subject | equivalization coefficients | es_ES |
dc.subject | under consumption | es_ES |
dc.subject | Greece | es_ES |
dc.subject | Portugal | es_ES |
dc.subject | Spain | es_ES |
dc.title | Improving energy poverty measurement in Southern European Regions through equivalisation of theoretical energy costs | es_ES |
dc.type | info:eu-repo/semantics/article | es_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.publisherversion | https://www.mdpi.com/2071-1050/12/14/5721 | |
dc.identifier.doi | 10.3390/su12145721 | |
dc.contributor.funder | European Commission | |
dc.departamentoes | Economía aplicada I | es_ES |
dc.departamentoeu | Ekonomia aplikatua I | es_ES |