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Regional and sectoral disaggregation of multi-regional input-output tables - a flexible algorithm

  • A common shortcoming of available multi-regional input-output (MRIO) data sets is their lack of regional and sectoral detail required for many research questions (e.g. in the field of disaster impact analysis). We present a simple algorithm to refine MRIO tables regionally and/or sectorally. By the use of proxy data, each MRIO flow in question is disaggregated into the corresponding sub-flows. This downscaling procedure is complemented by an adjustment rule ensuring that the sub-flows match the superordinate flow in sum. The approximation improves along several iteration steps. The algorithm unfolds its strength through the flexible combination of multiple, possibly incomplete proxy data sources. It is also flexible in a sense that any target sector and region resolution can be chosen. As an exemplary case we apply the algorithm to a regional and sectoral refinement of the Eora MRIO database.

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Author details:Leonie WenzORCiDGND, Sven N. WillnerORCiDGND, Alexander Radebach, Robert BierkandtGND, Jan Christoph SteckelORCiDGND, Anders LevermannORCiDGND
DOI:https://doi.org/10.1080/09535314.2014.987731
ISSN:0953-5314
ISSN:1469-5758
Title of parent work (English):Economic systems research : journal of the International Input-Output Association
Publisher:Routledge, Taylor & Francis Group
Place of publishing:Abingdon
Publication type:Article
Language:English
Year of first publication:2015
Publication year:2015
Release date:2017/03/27
Tag:Disaggregation; Disaster impact analysis; Global supply chains; Life cycle assessment; Regionalization
Volume:27
Issue:2
Number of pages:19
First page:194
Last Page:212
Funding institution:German Environmental Foundation; Heinrich-Boll Foundation; European Union [603864]; Deutsche Forschungsgemeinschaft (DFG) [CRC 1026]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
Peer review:Referiert
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