Creating multi-scale nested MRIO tables for linking localized impacts to global consumption drivers

Fry, J; Geschke, A; Langdon, S; Lenzen, M; Li, M; Malik, A; Sun, Y-Y; Wiedmann, T

Creating multi-scale nested MRIO tables for linking localized impacts to global consumption drivers

Fry, J Geschke, A Langdon, S

Lenzen, M Li, M Malik, A Sun, Y-Y Wiedmann, T

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Publisher:: Wiley
Publication Type:: Journal Article
Citation:: Journal of Industrial Ecology, 2022, 26, (1), pp. 281-293
Issue Date:: 2022-06-23

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Field	Value	Language
dc.contributor.author	Fry, J
dc.contributor.author	Geschke, A
dc.contributor.author	Langdon, S https://orcid.org/0000-0001-7496-4070
dc.contributor.author	Lenzen, M
dc.contributor.author	Li, M
dc.contributor.author	Malik, A
dc.contributor.author	Sun, Y-Y
dc.contributor.author	Wiedmann, T
dc.date.accessioned	2022-11-07T22:10:16Z
dc.date.available	2022-11-07T22:10:16Z
dc.date.issued	2022-06-23
dc.identifier.citation	Journal of Industrial Ecology, 2022, 26, (1), pp. 281-293
dc.identifier.issn	1088-1980
dc.identifier.issn	1530-9290
dc.identifier.uri	http://hdl.handle.net/10453/163292
dc.description.abstract	Industrial Ecology Virtual Laboratories (IELabs) enable the construction of national-to-local-scale multi-regional input–output (MRIO) models. These IELabs have been proven to be especially important for analyzing research questions that warrant sub-national spatial detail. The field of industrial ecology has clearly progressed from the time of national-only input–output tables. Here, we present a newly developed tool called NLab—“nested IELab”—that nests sub-national MRIO tables within global country-scale MRIOs. This capability allows for the investigation of interactions between sub-national production and consumption systems, with global systems interlinked via international trade. We provide a technical and mathematical roadmap for construction of nested input–output tables in the NLab, and demonstrate this capability through a real-world assessment of the Western Australian wine industry. Our results suggest that nested MRIO tables provide an added layer of detail at a regional level, when undertaking consumption-based footprint assessments, leading to improved assessment of quantification of regional impacts. The NLab presented in this work provides tools for analysis of complex trade linkages between industries at various scales, which has the further potential to open avenues for policy-makers to analyze the implications of local decisions at a global level, and vice versa
dc.language	English
dc.publisher	Wiley
dc.relation.ispartof	Journal of Industrial Ecology
dc.relation.isbasedon	10.1111/jiec.13165
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Environmental Sciences
dc.title	Creating multi-scale nested MRIO tables for linking localized impacts to global consumption drivers
dc.type	Journal Article
utslib.citation.volume	26
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-11-07T22:10:15Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	26
utslib.citation.issue	1

Abstract:

Industrial Ecology Virtual Laboratories (IELabs) enable the construction of national-to-local-scale multi-regional input–output (MRIO) models. These IELabs have been proven to be especially important for analyzing research questions that warrant sub-national spatial detail. The field of industrial ecology has clearly progressed from the time of national-only input–output tables. Here, we present a newly developed tool called NLab—“nested IELab”—that nests sub-national MRIO tables within global country-scale MRIOs. This capability allows for the investigation of interactions between sub-national production and consumption systems, with global systems interlinked via international trade. We provide a technical and mathematical roadmap for construction of nested input–output tables in the NLab, and demonstrate this capability through a real-world assessment of the Western Australian wine industry. Our results suggest that nested MRIO tables provide an added layer of detail at a regional level, when undertaking consumption-based footprint assessments, leading to improved assessment of quantification of regional impacts. The NLab presented in this work provides tools for analysis of complex trade linkages between industries at various scales, which has the further potential to open avenues for policy-makers to analyze the implications of local decisions at a global level, and vice versa

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http://hdl.handle.net/10453/163292