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Cited by 1,407

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BUILDING EORA: A GLOBAL MULTI-REGION INPUT–OUTPUT DATABASE AT HIGH COUNTRY AND SECTOR RESOLUTION

Lenzen, Manfred, Moran, Daniel, Kanemoto, Keiichiro, Geschke, Arne·2013·Economic Systems Research

Abstract

There are a number of initiatives aimed at compiling large-scale global multi-region input–output (MRIO) tables complemented with non-monetary information such as on resource flows and environmental burdens. Depending on purpose or application, MRIO construction and usage has been hampered by a lack of geographical and sectoral detail; at the time of writing, the most advanced initiatives opt for a breakdown into at most 129 regions and 120 sectors. Not all existing global MRIO frameworks feature continuous time series, margins and tax sheets, and information on reliability and uncertainty. Despite these potential limitations, constructing a large MRIO requires significant manual labour and many years of time. This paper describes the results from a project aimed at creating an MRIO account that represents all countries at a detailed sectoral level, allows continuous updating, provides information on data reliability, contains table sheets expressed in basic prices as well as all margins and taxes, and contains a historical time series. We achieve these goals through a high level of procedural standardisation, automation, and data organisation.

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Metadata

Authors
Lenzen, M., Moran, D., Kanemoto, K., & Geschke, A.
Venue
Economic Systems Research
Published
2013-03
Volume
25
Issue
1
Pages
20-49
ISSN
  • 0953-5314 (ISSN-L)
  • 1469-5758
OpenAlex
W2145917034
Cited by
1,407
References
1
FWCI
59.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: BUILDING EORA: A GLOBAL MULTI-REGION INPUT–OUTPUT DATABASE AT HIGH COUNTRY AND SECTOR RESOLUTION. https://app.cochat.ai/papers/10.1080/09535314.2013.769938
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Lenzen, M., Moran, D., Kanemoto, K., & Geschke, A. (2013). BUILDING EORA: A GLOBAL MULTI-REGION INPUT–OUTPUT DATABASE AT HIGH COUNTRY AND SECTOR RESOLUTION. Economic Systems Research. https://doi.org/10.1080/09535314.2013.769938

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