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dc.contributor.authorLindgren, Jørgen
dc.contributor.authorNicolajsen, Henrik
dc.contributor.authorWerner, Adrian Tobias
dc.date.accessioned2023-11-22T09:52:23Z
dc.date.available2023-11-22T09:52:23Z
dc.date.created2023-10-13T11:23:19Z
dc.date.issued2023
dc.identifier.isbn978-82-14-07811-4
dc.identifier.urihttps://hdl.handle.net/11250/3104045
dc.description.abstractInput-output modeling provides a means to assess socioeconomic and environmental impacts of policies and instruments and, thus, support public and private decision makers. This report discusses aspects of scenario definition and indicator set development in the context of such modeling. A first case study is concerned with green transition and regional competitiveness. We outline how scenarios may be modelled for input-output analyses on topics such as carbon taxation, energy and mobility, public procurement, and employment and skills transformation. The scenarios highlight also how national and supranational political decisions may affect local authorities. A second case study is centred on municipal solid waste management. There, we investigate how to develop an indicator set that effectively supports policymaking but is applicable within the possibilities and limitations of the underlying analysis framework.en_US
dc.language.isoengen_US
dc.publisherSINTEF Industrien_US
dc.relation.ispartofseriesSINTEF rapporter;2023:00825
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleScenario definition and indicator selection for dynamic supply-use modellingen_US
dc.title.alternativeScenario definition and indicator selection for dynamic supply-use modellingen_US
dc.typeResearch reporten_US
dc.description.versionpublishedVersionen_US
dc.subject.nsiCircular economyen_US
dc.subject.nsiGreen competitivenessen_US
dc.subject.nsiWaste managementen_US
dc.subject.nsiSustainability indicatorsen_US
dc.source.pagenumber41en_US
dc.identifier.cristin2184402
dc.relation.projectNorges forskningsråd: 319795en_US
cristin.ispublishedtrue
cristin.fulltextoriginal


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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