dc.contributor.author | Valdes, Gerardo Alfredo Perez | |
dc.contributor.author | Nørstebø, Vibeke Stærkebye | |
dc.contributor.author | Ellingsen, May-Britt | |
dc.contributor.author | Teräs, Jukka | |
dc.contributor.author | Werner, Adrian | |
dc.date.accessioned | 2020-11-26T11:49:31Z | |
dc.date.available | 2020-11-26T11:49:31Z | |
dc.date.created | 2019-08-21T10:29:32Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Sustainability. 2019, 11 (17), 1-17. | en_US |
dc.identifier.issn | 2071-1050 | |
dc.identifier.uri | https://hdl.handle.net/11250/2689763 | |
dc.description.abstract | Industrial 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.abstract | Bioeconomic Clusters—Background, Emergence, Localization and Modelling | en_US |
dc.language.iso | eng | en_US |
dc.publisher | MDPI | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.subject | Bærekraftige forretningsmodeller | en_US |
dc.subject | Sustainable business models | en_US |
dc.subject | Klynger | en_US |
dc.subject | Clusters | en_US |
dc.subject | Bioeconomy | en_US |
dc.subject | Operasjonsanalyse | en_US |
dc.subject | Operation research | en_US |
dc.title | Bioeconomic Clusters—Background, Emergence, Localization and Modelling | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_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.nsi | VDP::Samfunnsøkonomi: 212 | en_US |
dc.subject.nsi | VDP::Economics: 212 | en_US |
dc.source.pagenumber | 1-17 | en_US |
dc.source.volume | 11 | en_US |
dc.source.journal | Sustainability | en_US |
dc.source.issue | 17 | en_US |
dc.identifier.doi | 10.3390/su11174611 | |
dc.identifier.cristin | 1717607 | |
dc.relation.project | SINTEF AS: 102004770-59 | en_US |
dc.relation.project | Norges forskningsråd: 244608 | en_US |
cristin.unitcode | 7401,80,62,0 | |
cristin.unitname | Bærekraftig energiteknologi | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |