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Integrated economic and environmental assessment of waste policy instruments
Division of Environmental Systems Analysis, Department of Energy and Environment, Chalmers University of Technology, Gothenburg, Sweden; IVL Swedish Environmental Research Institute, Stockholm, Sweden .
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building, Energy and Environmental Engineering.ORCID iD: 0000-0002-5661-2917
Division of Environmental Strategies Research, Department of Sustainable Development, Environmental Sciences and Engineering, School of Architecture and Built Environment, KTH Royal Institute of Technology, Stockholm, Sweden .
National Institute of Economic Research, Stockholm, Sweden .
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2016 (English)In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 8, no 5, 411Article in journal (Refereed) Published
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Abstract [en]

The need for new policy instruments supporting the on-going transition from end-of-pipe waste treatment to resource management has been recognized in European policy. Instruments need to be carefully assessed before implementation to promote the desired changes and avoid problem shifting. Mathematical models may assist policy makers in such assessments. This paper presents a set of soft-linked models for assessing the economic and environmental impacts of policy instruments for both the prevention and management of waste and discusses its strengths and limitations. Consisting of (1) a macro-economic model, (2) a systems engineering model for waste management and (3) a life cycle assessment model for waste management, the set is primarily suited to assessing market-based instruments and environmental regulations. Considerable resources were needed for developing and using the set, and there are clear limits as to what can be addressed. However, if only one of the models had been used, neither the range of instruments nor the scope of impacts would have been possible to cover. Furthermore, soft-linked models allow many disciplines to contribute within one harmonized framework. Such integrated assessments may become increasingly useful for continuing the implementation of policy for sustainable governance of society’s material resources. © 2016 by the authors.

Place, publisher, year, edition, pages
2016. Vol. 8, no 5, 411
Keyword [en]
CGE models, Life cycle assessment, Life cycle sustainability analysis, Systems engineering models, Waste management, Waste policy, Waste prevention
National Category
Industrial Biotechnology Other Mathematics
Identifiers
URN: urn:nbn:se:hig:diva-21637DOI: 10.3390/su8050411ISI: 000377983800005Scopus ID: 2-s2.0-84970990714OAI: oai:DiVA.org:hig-21637DiVA: diva2:937294
Available from: 2016-06-15 Created: 2016-06-15 Last updated: 2017-01-10Bibliographically approved

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CiteExportLink to record
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Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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