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dc.contributor.authorLópez-Bernabé, E.
dc.contributor.authorLinares, P.
dc.contributor.authorGalarraga, I.
dc.date.accessioned2023-02-16T10:17:54Z
dc.date.available2023-02-16T10:17:54Z
dc.date.issued2022-12-01
dc.identifier.citationEnergy Policy: 171: 113211 (2022)es_ES
dc.identifier.urihttp://hdl.handle.net/10810/59888
dc.description.abstractDecarbonising residential heating poses a major challenge for the energy transition, but the policy attention devoted to and the support provided for it seem limited. There is a rather limited consideration of the perceptions of households, which play a large role in this sector. This in turn may affect the effectiveness of policy instruments. This study contributes to a better understanding of the various perceptions held by key stakeholders, in particular about what can be done to reduce residential heating bills and how. We use a participatory method based on Fuzzy Cognitive Mapping (FCM), which accounts for the behavioural complexity of the transition in residential heating and provides a better understanding of policy instruments in terms of stakeholder perception. We then test combinations of policy instruments based on expert opinion and identify the most effective ones based on their perceptions. Our analysis indicates that environmental education and information are perceived to reduce heating bills by a very significant amount. Taxes are perceived to be more effective than subsidies. We also show that policy packages are considered essential: when policy instruments are combined the effects perceived are cumulative, resulting in a much greater expected impact on heating bills and energy consumption. © 2022 Elsevier Ltdes_ES
dc.description.sponsorshipThe authors would like to thank Sébastien Foudi (BC3) for his valuable reflections and comments during the data curation process. This study was conducted as part of the ENABLE-EU project: “Enabling the energy union through understanding the drivers of individual and collective energy choices in Europe”, an EU funded H2020 research project under grant agreement number 727524. This research is also supported by the Spanish State Research Agency through María de Maeztu Excellence Unit accreditation 2018–2022 (Ref. MDM-2017- 0714) and the Basque Government through the BERC 2018–2021 programme. Financial support from the Government of Spain and the European Regional Development Fund through grants RTI2018-093692-B-I00, RTC2019- 007315–3 and RED2018-102794-T-ENE is gratefully acknowledged. The authors would like to thank Sébastien Foudi (BC3) for his valuable reflections and comments during the data curation process. This study was conducted as part of the ENABLE-EU project: “Enabling the energy union through understanding the drivers of individual and collective energy choices in Europe”, an EU funded H2020 research project under grant agreement number 727524 . This research is also supported by the Spanish State Research Agency through María de Maeztu Excellence Unit accreditation 2018–2022 (Ref. MDM-2017- 0714) and the Basque Government through the BERC 2018–2021 programme. Financial support from the Government of Spain and the European Regional Development Fund through grants RTI2018-093692-B-I00 , RTC2019- 007315–3 and RED2018-102794-T-ENE is gratefully acknowledged.es_ES
dc.language.isoenges_ES
dc.publisherEnergy Policyes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/727524es_ES
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectEnergy-efficiency policy instrumentses_ES
dc.subjectFuzzy cognitive mappinges_ES
dc.subjectPolicy simulationes_ES
dc.subjectResidential heating decarbonisationes_ES
dc.titleEnergy-efficiency policies for decarbonising residential heating in Spain: A fuzzy cognitive mapping approaches_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2022 Elsevier Ltdes_ES
dc.rights.holderAtribución-NoComercial-CompartirIgual 3.0 España*
dc.relation.publisherversionhttps://dx.doi.org/10.1016/j.enpol.2022.113211es_ES
dc.identifier.doi10.1016/j.enpol.2022.113211
dc.contributor.funderSébastien Foudi, H2020, EU, Basque Government, European Regional Development Fund, Spanish State Research Agency


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