Bioeconomic Clusters—Background, Emergence, Localization and Modelling
| Autor: | Vibeke Stærkebye Nørstebø, Jukka Tapani Teräs, May-Britt Ellingsen, Adrian Werner, Gerardo A. Pérez-Valdés |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Computer science
020209 energy Geography Planning and Development lcsh:TJ807-830 lcsh:Renewable energy sources 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Clusters Qualitative analysis Industrial symbiosis 0202 electrical engineering electronic engineering information engineering Cluster (physics) industrial symbiosis lcsh:Environmental sciences 0105 earth and related environmental sciences lcsh:GE1-350 Bærekraftige forretningsmodeller Renewable Energy Sustainability and the Environment Management science lcsh:Environmental effects of industries and plants Operasjonsanalyse Economics: 212 [VDP] Bioeconomy Complementarity (physics) Operation research lcsh:TD194-195 Samfunnsøkonomi: 212 [VDP] Klynger environmental economics Sustainable production input-output modelling Sustainable business models operations research |
| Zdroj: | Sustainability Volume 11 Issue 17 Sustainability, Vol 11, Iss 17, p 4611 (2019) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su11174611 |
| Popis: | 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. This paper presents quantitative methods based on Input-Output and Operations Research analysis to establish and plan cluster operations and complement that 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. Using a case study, hypothetical clusters using numerical methods are created 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. |
| Databáze: | OpenAIRE |
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