A STRUCTURAL DECOMPOSITION APPROACH TO COMPARING MRIO DATABASES |
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| Authors: | Anne Owen Kjartan Steen-Olsen John Barrett Thomas Wiedmann Manfred Lenzen |
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| Institution: | 1. School of Earth and Environment, University of Leeds, Leeds, UKa.owen@leeds.ac.uk;3. Industrial Ecology Programme and Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway;4. School of Earth and Environment, University of Leeds, Leeds, UK;5. School of Civil and Environmental Engineering, UNSW Australia, Sydney, Australia;6. Centre for Integrated Sustainability Analysis, School of Physics A28, The University of Sydney, Sydney, Australia;7. Centre for Integrated Sustainability Analysis, School of Physics A28, The University of Sydney, Sydney, Australia |
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| Abstract: | The construction of multi-regional input–output tables is complex, and databases produced using different approaches lead to different analytical outcomes. We outline a decomposition methodology for investigating the variations that exist when using different multiregional input–output (MRIO) systems to calculate a region's consumption-based account. Structural decomposition analysis attributes the change in emissions to a set of dependent determinants, such as technical coefficients, the Leontief inverse and final demands. We apply our methodology to three MRIO databases – Eora, GTAP and WIOD. Findings reveal that the variation between Eora and GTAP can be attributed to differences in the Leontief inverse and emissions’ data, whereas the variation between Eora and WIOD is due to differences in final demand and the Leontief inverse. For the majority of regions, GTAP and WIOD produce similar results. The approach in this study could help move MRIO databases from the academic arena to a useful policy instrument. |
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| Keywords: | Multiregional input–output databases Variation Uncertainty Structural decomposition analysis Consumption-based accounting Model comparison |
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