Kilian, L., Owen, A. orcid.org/0000-0002-3872-9900 and Hoekstra, R. (2026) Quantifying the impacts of multi-regional input–output data on emissions from imports. Economic Systems Research. ISSN: 0953-5314
Abstract
Recent years have seen an increased interest in consumption-based emissions. To calculate these, global multi-regional input–output (MRIO) data with environmental extensions are needed. However, various MRIO databases exist, each with unique strengths and limitations. This research investigates differences in emission estimates from global MRIO databases: EXIOBASE, FIGARO, GLORIA, and ICIO. We ask how the imported component of a country’s environmental footprint differs between these databases, to understand the implications of choosing one of these datasets over another. We find high levels of similarity across the databases for most countries, including for the 10 largest economies. However, differences are stronger for some countries with higher proportions of imported emissions. Here, choice of MRIO data can have a significant impact on policy decisions. Finally, industry-level analyses indicate that priority industries for climate policy are consistent across the datasets, even where absolute emission estimates may differ.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Multi-regional input-output; consumption-based accounts; footprints |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) |
| Date Deposited: | 16 Jun 2026 13:56 |
| Last Modified: | 16 Jun 2026 13:56 |
| Status: | Published online |
| Publisher: | Taylor & Francis |
| Identification Number: | 10.1080/09535314.2026.2637638 |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:242015 |
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