European landscapes 2035 : four scenarios for internal differentiation

dc.contributor.authorCHIOCCHETTI, Paolo
dc.date.accessioned2022-01-19T12:11:07Z
dc.date.available2022-01-19T12:11:07Z
dc.date.issued2021
dc.description.abstractThis paper presents a narrative set of scenarios on the future use of internal differentiation in the European Union by 2035. The four scenarios outline paradigmatic alternatives for the internal development of the EU: ‘highland Europe’ (uniform integration), ‘mountainous Europe’ (differentiated integration), ‘Lowland Europe’ (uniform disintegration), and ‘archipelago Europe’ (differentiated disintegration). The set of scenarios offers to policymakers, experts, and citizens a useful tool to think about the future of European integration, stimulate an informed debate on desirable visions, threats, opportunities, and strategic choices, and support the design the appropriate institutional, legal, and policy solutions.en
dc.description.sponsorshipThe project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 822304en
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.2870/51990
dc.identifier.isbn9789294661371
dc.identifier.issn2467-4540
dc.identifier.urihttps://hdl.handle.net/1814/73669
dc.language.isoenen
dc.orcid.uploadtrue*
dc.publisherEuropean University Instituteen
dc.relationIntegrating Diversity in the European Union
dc.relation.ispartofseriesPolicy Briefsen
dc.relation.ispartofseries2021/63en
dc.relation.ispartofseriesIntegrating Diversity in the European Union (InDivEU) en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rights.licenseAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleEuropean landscapes 2035 : four scenarios for internal differentiationen
dc.typeOtheren
dspace.entity.typePublication
eui.subscribe.skiptrue
person.identifier.orcid0000-0003-2796-5649
person.identifier.other45432
relation.isAuthorOfPublication482b4446-5f66-4936-920c-a2808a4e8df0
relation.isAuthorOfPublication.latestForDiscovery482b4446-5f66-4936-920c-a2808a4e8df0
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