A review and comparative assessment of existing approaches to calculate material footprints.

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Title: A review and comparative assessment of existing approaches to calculate material footprints.
Authors: Lutter, Stephan1 stephan.lutter@wu.ac.at, Giljum, Stefan1, Bruckner, Martin1
Source: Ecological Economics. Jul2016, Vol. 127, p1-10. 10p.
Subjects: Fossil tracks, Sharing economy, Resource allocation, Resource-based communities, Sustainable architecture
Abstract: Effective implementation of resource policies requires consistent and robust indicators. An increasing number of national and international strategies focussing on resource efficiency as a means for reaching a “green economy” call for such indicators. As supply chains of goods and services are increasingly organised on the global level, comprehensive indicators taking into account upstream material flows associated with internationally traded products need to be compiled. Particularly in the last few years, the development of consumption-based indicators of material use – also termed “material footprints” – has made considerable progress. This paper presents a comprehensive review of existing methodologies to calculate material footprint-type indicators. The three prevailing approaches, i.e. environmentally extended input–output analysis (EE-IOA), coefficient approaches based on process analysis data, and hybrid approaches combing elements of EE-IOA and process analysis are presented, existing models using the different approaches discussed, and advantages and disadvantages of each approach identified. We argue that there is still a strong need for improvement of the specific approaches as well as comparability of results, in order to reduce uncertainties. The paper concludes with recommendations for further development covering methodological, data and institutional aspects. [ABSTRACT FROM AUTHOR]
Copyright of Ecological Economics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Ecological+Economics%22">Ecological Economics</searchLink>. Jul2016, Vol. 127, p1-10. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Fossil+tracks%22">Fossil tracks</searchLink><br /><searchLink fieldCode="DE" term="%22Sharing+economy%22">Sharing economy</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+allocation%22">Resource allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Resource-based+communities%22">Resource-based communities</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainable+architecture%22">Sustainable architecture</searchLink>
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  Data: Effective implementation of resource policies requires consistent and robust indicators. An increasing number of national and international strategies focussing on resource efficiency as a means for reaching a “green economy” call for such indicators. As supply chains of goods and services are increasingly organised on the global level, comprehensive indicators taking into account upstream material flows associated with internationally traded products need to be compiled. Particularly in the last few years, the development of consumption-based indicators of material use – also termed “material footprints” – has made considerable progress. This paper presents a comprehensive review of existing methodologies to calculate material footprint-type indicators. The three prevailing approaches, i.e. environmentally extended input–output analysis (EE-IOA), coefficient approaches based on process analysis data, and hybrid approaches combing elements of EE-IOA and process analysis are presented, existing models using the different approaches discussed, and advantages and disadvantages of each approach identified. We argue that there is still a strong need for improvement of the specific approaches as well as comparability of results, in order to reduce uncertainties. The paper concludes with recommendations for further development covering methodological, data and institutional aspects. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Ecological Economics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.ecolecon.2016.03.012
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      – Code: eng
        Text: English
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        PageCount: 10
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    Subjects:
      – SubjectFull: Fossil tracks
        Type: general
      – SubjectFull: Sharing economy
        Type: general
      – SubjectFull: Resource allocation
        Type: general
      – SubjectFull: Resource-based communities
        Type: general
      – SubjectFull: Sustainable architecture
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              M: 07
              Text: Jul2016
              Type: published
              Y: 2016
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              Value: 127
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