Identifying Suitable Bioeconomic Cluster Sites—Combining GIS-MCDA and Operational Research Methods
| Autor: | Vibeke Stærkebye Nørstebø, Wenche Dramstad, Gerardo A. Pérez-Valdés, Kristin Tolstad Uggen, Misganu Debella-Gilo, Svein Olav Krøgli |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Optimization
Resource (biology) Geographic information system Operations research Computer science Input–output model 020209 energy 02 engineering and technology GIS-modeller 010501 environmental sciences 01 natural sciences Profit (economics) Biomassetilgang Clusters Optimering 0202 electrical engineering electronic engineering information engineering 0105 earth and related environmental sciences General Environmental Science business.industry Usability Multiple-criteria decision analysis Bioeconomy Input-Output analyse GIS models Sustainability Klynger Profitability index business Biomass access Input-Output Analysis |
| Zdroj: | Environmental Modelling and Assessment |
| Popis: | A transition to a bioeconomy implies an increased focus on efficient and sustainable use of biological resources. A common, but often neglected feature of these resources is their location dependence. To optimize their use, for example in bioeconomic industrial clusters, this spatial aspect should be integrated in analyses. Optimal design and localization of a bioeconomic cluster with respect to the various biological and non-biological resources required for the cluster, the composition of industrial facilities in the cluster, as well as the demands of the outputs of the cluster, is crucial for profitability and sustainability. We suggest that optimal design and location of bioeconomic clusters can benefit from the use of a Multicriteria Decision Analysis (MCDA) in combination with Geographic Information Systems (GIS) and Operations Research modeling. The integration of MCDA and GIS determines a set of candidate locations based on various criteria, including resource availability, accessibility, and usability. A quantitative analysis of the flow of resources between and within the different industries is then conducted based on economic Input-Output analysis. Then, the cluster locations with the highest potential profit, and their composition of industrial facilities, are identified in an optimization model. A case study on forest-based bioeconomic clusters in the Østfold county of Norway is presented to exemplify this methodology, the expectation being that further implementation of the method at the national level could help decision makers in the planning of a smoother transition from a fossil-based economy to a bioeconomy. |
| Databáze: | OpenAIRE |
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