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dc.creatorCazcarro, Ignacioes_ES
dc.creatorGarcía-Gusano, Diegoes_ES
dc.creatorIribarren, Diegoes_ES
dc.creatorLinares, Pedroes_ES
dc.creatorRomero, José Carloses_ES
dc.creatorArocena Garro, Pabloes_ES
dc.creatorArto, Iñakies_ES
dc.creatorBanacloche, Santacruzes_ES
dc.creatorLechón, Yolandaes_ES
dc.creatorMiguel, Luis Javieres_ES
dc.creatorZafrilla, Jorgees_ES
dc.creatorLópez, Luis Antonioes_ES
dc.creatorLangarita, Raqueles_ES
dc.creatorCadarso, María Angeleses_ES
dc.date.accessioned2022-08-31T08:28:17Z
dc.date.available2024-01-20T00:00:10Z
dc.date.issued2022
dc.identifier.citationCazcarro, I.; Garcia-Gusano, D.; Iribarren, D.; Linares, P.; Romero, J. C.; Arocena, P.; Arto, I.; Banacloche, S.; Lechon, Y.; Miguel, L. J.; Zafrilla, J.; Lopez, L. A.; Langarita, R.; Cadarso, M. A.. (2022). Energy-socio-economic-environmental modelling for the EU energy and post-COVID-19 transitions. Science of the Total Environment. v. 805en
dc.identifier.issn0048-9697
dc.identifier.urihttps://hdl.handle.net/2454/43889
dc.description.abstractRelevant energy questions have arisen because of the COVID-19 pandemic. The pandemic shock leads to emissions' reductions consistent with the rates of decrease required to achieve the Paris Agreement goals. Those unforeseen drastic reductions in emissions are temporary as long as they do not involve structural changes. However, the COVID-19 consequences and the subsequent policy response will affect the economy for decades. Focusing on the EU, this discussion article argues how recovery plans are an opportunity to deepen the way towards a low-carbon economy, improving at the same time employment, health, and equity and the role of modelling tools. Long-term alignment with the low-carbon path and the development of a resilient transition towards renewable sources should guide instruments and policies, conditioning aid to energy-intensive sectors such as transport, tourism, and the automotive industry. However, the potential dangers of short-termism and carbon leakage persist. The current energy-socio-economic-environmental modelling tools are precious to widen the scope and deal with these complex problems. The scientific community has to assess disparate, non-equilibrium, and non-ordinary scenarios, such as sectors and countries lockdowns, drastic changes in con sumption patterns, significant investments in renewable energies, and disruptive technologies and incorporate uncertainty analysis. All these instruments will evaluate the cost-effectiveness of decarbonization options and potential consequences on employment, income distribution, and vulnerability.en
dc.description.sponsorshipAll the authors belong and thank the support to the MENTES network on Energy Modelling for a Sustainable Energy Transition, by the Spanish Ministry of Science, Innovation and Universities (project/grant RED2018-102794-T). I.A. and I.C. thank the support of the Spanish Ministry of Science, Innovation and Universities (MALCON, RTI2018-099858-A-I00) , the Spanish State Research Agency through Maria de Maeztu Excellence Unit accreditation 2018-2022 (Ref. MDM-2017-0714) and Basque Gov-ernment BERC Programme. L.J.M., I.A. and I.C. gratefully acknowledge the project LOCOMOTION H2020-LC-CLA-2018-2 (No 821105) and L.J.M. MODESLOW, funded under the Spanish National Research, Development and Innovation Programme (Ministry of Economy and Competitiveness of Spain, ref. ECO2017-85110-R). I.C. and R.L thank the Spanish Ministry of Science, Innovation and Universities (PID2019-106822RB-I00). M.A.C., L.A.L. and J.Z. thank the support of the University of Castilla-La Mancha and the European Fund for Regional Development (FEDER) (Ref. 020-GRIN-29137). P.L. gratefully acknowledges the support of project RTI2018-093692-B-I00 by the Spanish Ministry of Science and Innovation (MCI), the National Research Agency (AEI) and the European Fund for Regional Development (FEDER). Y.L. and S.B. gratefully acknowledge the support of project MUSTEC, funded by the European Union's Horizon 2020 research and innovation programme under grant agreement no. 764626.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofScience of the Total Environment, 2022en
dc.rights© 2021 Elsevier. All rights reserveden
dc.subjectClimate changeen
dc.subjectEnergy transitionen
dc.subjectSocio-economic modellingen
dc.subjectEnergy-environmental modellingen
dc.titleEnergy-socio-economic-environmental modelling for the EU energy and post-COVID-19 transitionsen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.date.updated2022-08-31T07:27:08Z
dc.contributor.departmentInstitute for Advanced Research in Business and Economics - INARBEes_ES
dc.contributor.departmentGestión de Empresases_ES
dc.contributor.departmentEnpresen Kudeaketaeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.embargo.terms2024-01-20
dc.identifier.doi10.1016/j.scitotenv.2021.150329
dc.relation.projectIDinfo:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/764626en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RED2018-102794-Ten
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099858-A-I00/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ECO2017-85110-R/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106822RB-I00/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093692-B-I00/ES/en
dc.relation.publisherversionhttps://doi.org/10.1016/j.scitotenv.2021.150329
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen


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