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Effect of aggregation and disaggregation on embodied material use of products in input–output analysis

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  • de Koning, Arjan
  • Bruckner, Martin
  • Lutter, Stephan
  • Wood, Richard
  • Stadler, Konstantin
  • Tukker, Arnold
Abstract
Consumption-based material footprints calculated with multi-regional input–output (mrIO) analysis are influenced by the sectoral, spatial and material aggregations used in the mrIO tables, and lack of disaggregation can be a source of uncertainty. This study investigated the effect of the resolution of mrIO databases on consumption-based material footprints. The effect of aggregation was investigated by constructing input–output tables with different spatial, product and material category resolutions and comparing the calculated material footprints. Our results indicate that the material footprints of countries calculated using the different spatial and product aggregations are in general in the order of a few percent, with outliers in the order of 25% difference. The use of IO models with a low product category resolution (e.g. 60 product categories) to calculate the embodied material use of individual products will likely result in inaccurate estimations of the total embodied material for some product categories. Aggregating the original 46 material categories into 16 categories changes the calculated material footprint of countries by about 30%. This result strongly suggests that the material data used to create the extensions for the IO framework should be collected at the highest resolution that is practically feasible.

Suggested Citation

  • de Koning, Arjan & Bruckner, Martin & Lutter, Stephan & Wood, Richard & Stadler, Konstantin & Tukker, Arnold, 2015. "Effect of aggregation and disaggregation on embodied material use of products in input–output analysis," Ecological Economics, Elsevier, vol. 116(C), pages 289-299.
    • Handle: RePEc:eee:ecolec:v:116:y:2015:i:c:p:289-299
    DOI: 10.1016/j.ecolecon.2015.05.008
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    References listed on IDEAS

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    1. Su, Bin & Huang, H.C. & Ang, B.W. & Zhou, P., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of sector aggregation," Energy Economics, Elsevier, vol. 32(1), pages 166-175, January.
    2. Konstantin Stadler & Kjartan Steen-Olsen & Richard Wood, 2014. "The 'Rest Of The World' - Estimating The Economic Structure Of Missing Regions In Global Multi-Regional Input-Output Tables," Economic Systems Research, Taylor & Francis Journals, vol. 26(3), pages 303-326, September.
    3. Arnold Tukker & Erik Dietzenbacher, 2013. "Global Multiregional Input-Output Frameworks: An Introduction And Outlook," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 1-19, March.
    4. Maaike Bouwmeester & Jan Oosterhaven, 2013. "Specification and Aggregation Errors in Environmentally Extended Input–Output Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(3), pages 307-335, November.
    5. Erik Dietzenbacher & Bart Los & Robert Stehrer & Marcel Timmer & Gaaitzen de Vries, 2013. "The Construction Of World Input-Output Tables In The Wiod Project," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 71-98, March.
    6. Daniel Moran & Richard Wood, 2014. "Convergence Between The Eora, Wiod, Exiobase, And Openeu'S Consumption-Based Carbon Accounts," Economic Systems Research, Taylor & Francis Journals, vol. 26(3), pages 245-261, September.
    7. Robbie Andrew & Glen Peters & James Lennox, 2009. "Approximation And Regional Aggregation In Multi-Regional Input-Output Analysis For National Carbon Footprint Accounting," Economic Systems Research, Taylor & Francis Journals, vol. 21(3), pages 311-335.
    8. Manfred Lenzen & Daniel Moran & Keiichiro Kanemoto & Arne Geschke, 2013. "Building Eora: A Global Multi-Region Input-Output Database At High Country And Sector Resolution," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 20-49, March.
    9. Manfred Lenzen & Richard Wood & Thomas Wiedmann, 2010. "Uncertainty Analysis For Multi-Region Input-Output Models - A Case Study Of The Uk'S Carbon Footprint," Economic Systems Research, Taylor & Francis Journals, vol. 22(1), pages 43-63.
    10. Harry C. Wilting, 2012. "Sensitivity And Uncertainty Analysis In Mrio Modelling; Some Empirical Results With Regard To The Dutch Carbon Footprint," Economic Systems Research, Taylor & Francis Journals, vol. 24(2), pages 141-171, September.
    11. Nadim Ahmad & Andrew Wyckoff, 2003. "Carbon Dioxide Emissions Embodied in International Trade of Goods," OECD Science, Technology and Industry Working Papers 2003/15, OECD Publishing.
    12. Su, Bin & Ang, B.W., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of spatial aggregation," Ecological Economics, Elsevier, vol. 70(1), pages 10-18, November.
    13. Manfred Lenzen, 2011. "Aggregation Versus Disaggregation In Input-Output Analysis Of The Environment," Economic Systems Research, Taylor & Francis Journals, vol. 23(1), pages 73-89.
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