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dc.contributor.authorKonc, T.en
dc.contributor.authorDrews, S.en
dc.contributor.authorSavin, I.en
dc.contributor.authorvan den Bergh, J. C. J. M.en
dc.date.accessioned2022-10-19T05:23:26Z-
dc.date.available2022-10-19T05:23:26Z-
dc.date.issued2022-
dc.identifier.citationCo-dynamics of climate policy stringency and public support / T. Konc, S. Drews, I. Savin et al. // Global Environmental Change. — 2022. — Vol. 74. — 102528.en
dc.identifier.issn9593780-
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85129775742&doi=10.1016%2fj.gloenvcha.2022.102528&partnerID=40&md5=2b19f5c4b35a12689c6d7e6848467c7elink
dc.identifier.urihttp://elar.urfu.ru/handle/10995/118181-
dc.description.abstractPublic support for stringent climate policies is currently weak. We develop a model to study the dynamics of public support for climate policies. It comprises three interconnected modules: one calculates policy impacts; a second translates these into policy support mediated by social influence; and a third represents the regulator adapting policy stringency depending on public support. The model combines general-equilibrium and agent-based elements and is empirically grounded in a household survey, which allows quantifying policy support as a function of effectiveness, personal wellbeing and distributional effects. We apply our approach to compare two policy instruments, namely carbon taxation and performance standards, and identify intertemporal trajectories that meet the climate target and count on sufficient public support. Our results highlight the importance of social influence, opinion stability and income inequality for public support of climate policies. Our model predicts that carbon taxation consistently generates more public support than standards. Finally, we show that under moderate social influence and income inequality, an increasing carbon tax trajectory combined with progressive revenue redistribution receives the highest average public support over time. © 2022 The Author(s)en
dc.description.sponsorshipEuropean Research Council, ERC; Robert Bosch Stiftung; Russian Science Foundation, RSF: 19-18-00262; Horizon 2020: 741087en
dc.description.sponsorshipThis work was supported by an ERC Advanced Grant under the European Union's Horizon 2020 research and innovation program [grant agreement Nr. 741087]. I.S. acknowledges support from the Russian Science Foundation [RSF grant number 19-18-00262]. TK acknowledges financial support from the Robert Bosch foundation. We have greatly benefited from comments by Joël Foramitti, Franziska Funke, Franziska Klein, Linus Mattauch, Karolina Safarzynska and Thomas Stoerk on an earlier version of the manuscript. We also thank the participants of the "Post-carbon Transition" seminar at INET Oxford, and of the EAERE 2021 conference.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevier Ltden
dc.relationinfo:eu-repo/grantAgreement/RSF//19-18-00262en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceGlobal Environmental Changeen
dc.subjectCARBON TAXATIONen
dc.subjectINCOME INEQUALITYen
dc.subjectOPINION DYNAMICSen
dc.subjectPERFORMANCE STANDARDSen
dc.subjectSOCIAL NETWORKen
dc.subjectENVIRONMENTAL POLICYen
dc.subjectINCOMEen
dc.subjectPERFORMANCE ASSESSMENTen
dc.subjectPOLLUTION TAXen
dc.subjectSOCIAL NETWORKen
dc.subjectTRAJECTORYen
dc.titleCo-dynamics of climate policy stringency and public supporten
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.gloenvcha.2022.102528-
dc.identifier.scopus85129775742-
local.contributor.employeeKonc, T., Institute of Environmental Science and Technology, UAB, Edi ci Z, UAB Campus, Barcelona, Cerdanyola del Vallès, 08193, Spain, Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Telegraphenberg A 31, Potsdam, 14473, Germany, Technical University of Berlin, Straÿe des 17. Juni 135, Berlin, 10623, Germanyen
local.contributor.employeeDrews, S., Institute of Environmental Science and Technology, UAB, Edi ci Z, UAB Campus, Barcelona, Cerdanyola del Vallès, 08193, Spainen
local.contributor.employeeSavin, I., Institute of Environmental Science and Technology, UAB, Edi ci Z, UAB Campus, Barcelona, Cerdanyola del Vallès, 08193, Spain, Graduate School of Economics and Management, Ural Federal University, Ulitsa Mira 19, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeevan den Bergh, J.C.J.M., Institute of Environmental Science and Technology, UAB, Edi ci Z, UAB Campus, Barcelona, Cerdanyola del Vallès, 08193, Spain, ICREA, Passeig de Lluís Companys 23, Barcelona, 08010, Spain, School of Business and Economics & Institute for Environmental Studies, VU University Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlandsen
local.volume74-
dc.identifier.wos000799349700004-
local.contributor.departmentInstitute of Environmental Science and Technology, UAB, Edi ci Z, UAB Campus, Barcelona, Cerdanyola del Vallès, 08193, Spainen
local.contributor.departmentPotsdam Institute for Climate Impact Research, Member of the Leibniz Association, Telegraphenberg A 31, Potsdam, 14473, Germanyen
local.contributor.departmentTechnical University of Berlin, Straÿe des 17. Juni 135, Berlin, 10623, Germanyen
local.contributor.departmentGraduate School of Economics and Management, Ural Federal University, Ulitsa Mira 19, Yekaterinburg, 620002, Russian Federationen
local.contributor.departmentICREA, Passeig de Lluís Companys 23, Barcelona, 08010, Spainen
local.contributor.departmentSchool of Business and Economics & Institute for Environmental Studies, VU University Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlandsen
local.identifier.pure30208905-
local.description.order102528-
local.identifier.eid2-s2.0-85129775742-
local.fund.rsf19-18-00262-
local.identifier.wosWOS:000799349700004-
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