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dc.contributor.authorValdes, Gerardo Alfredo Perez
dc.contributor.authorNørstebø, Vibeke Stærkebye
dc.contributor.authorEllingsen, May-Britt
dc.contributor.authorTeräs, Jukka
dc.contributor.authorWerner, Adrian
dc.date.accessioned2020-11-26T11:49:31Z
dc.date.available2020-11-26T11:49:31Z
dc.date.created2019-08-21T10:29:32Z
dc.date.issued2019
dc.identifier.citationSustainability. 2019, 11 (17), 1-17.en_US
dc.identifier.issn2071-1050
dc.identifier.urihttps://hdl.handle.net/11250/2689763
dc.description.abstractIndustrial Clusters, especially those based on biologically sourced materials and their derivative products, can play an important role in the global shift to more sustainable production methods and ecological economic systems. The concept of cluster, however, is difficult to define and study. In this paper, we present quantitative methods based on Input-output and in Operations Research analysis to establish and plan cluster operations, and complement with qualitative reflections on the nature of these clusters. The purpose is to bring together both dimensions and demonstrate their complementarity, with social and policy aspects being as important considerations as techno-economic-driven ones. Through a case study, we create hypothetical clusters using numerical methods; the clusters produced by numerical methods point to and raise important issues related to the need to utilize qualitative analysis in conjunction to pure economic motives while designing/planning industrial clusters.en_US
dc.description.abstractBioeconomic Clusters—Background, Emergence, Localization and Modellingen_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectBærekraftige forretningsmodelleren_US
dc.subjectSustainable business modelsen_US
dc.subjectKlyngeren_US
dc.subjectClustersen_US
dc.subjectBioeconomyen_US
dc.subjectOperasjonsanalyseen_US
dc.subjectOperation researchen_US
dc.titleBioeconomic Clusters—Background, Emergence, Localization and Modellingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.subject.nsiVDP::Samfunnsøkonomi: 212en_US
dc.subject.nsiVDP::Economics: 212en_US
dc.source.pagenumber1-17en_US
dc.source.volume11en_US
dc.source.journalSustainabilityen_US
dc.source.issue17en_US
dc.identifier.doi10.3390/su11174611
dc.identifier.cristin1717607
dc.relation.projectSINTEF AS: 102004770-59en_US
dc.relation.projectNorges forskningsråd: 244608en_US
cristin.unitcode7401,80,62,0
cristin.unitnameBærekraftig energiteknologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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