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Does consistency with detailed national data matter for calculating carbon footprints with global multi-regional input–output tables? A comparative analysis for Belgium based on a structural decomposition

Author

Listed:
  • Caroline Hambÿe

    (Federal Planning Bureau)

  • Bart Hertveldt

    (Federal Planning Bureau)

  • Bernhard Michel

    (Federal Planning Bureau
    Ghent University)

Abstract

Consistency with detailed national data is an important challenge when using multi-regional input–output (MRIO) tables for carbon footprint analysis at the national level. This article presents carbon footprint calculations for Belgium with original and adapted MRIO tables from the World Input–Output Database (WIOD) project. For constructing the adapted tables, we have reproduced the MRIO construction process of WIOD replacing source data for Belgium by detailed supply-and-use table data from national sources and keeping these unchanged in the balancing phase. The novelty of our approach is that we investigate a time series and analyse the differences in results with respect to the original tables using structural decomposition analysis (SDA). According to our calculations, Belgium’s carbon footprint is up to 15% lower than in calculations based on the original WIOD MRIO tables. The SDA reveals that this is largely due to differences in data on import uses and taxes and subsidies. Hence, consistency with detailed national data does indeed matter for MRIO-based carbon footprint calculations. Therefore, we advocate building global MRIO tables by incorporating a maximum of detailed national data in close cooperation with national statistical institutes before letting the balancing process work freely.

Suggested Citation

  • Caroline Hambÿe & Bart Hertveldt & Bernhard Michel, 2018. "Does consistency with detailed national data matter for calculating carbon footprints with global multi-regional input–output tables? A comparative analysis for Belgium based on a structural decomposi," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-22, December.
    • Handle: RePEc:spr:jecstr:v:7:y:2018:i:1:d:10.1186_s40008-018-0110-6
    DOI: 10.1186/s40008-018-0110-6
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    Cited by:

    1. Jingwen Huo & Peipei Chen & Klaus Hubacek & Heran Zheng & Jing Meng & Dabo Guan, 2022. "Full‐scale, near real‐time multi‐regional input–output table for the global emerging economies (EMERGING)," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1218-1232, August.
    2. Eivind Lekve Bjelle & Johannes Többen & Konstantin Stadler & Thomas Kastner & Michaela C. Theurl & Karl-Heinz Erb & Kjartan-Steen Olsen & Kirsten S. Wiebe & Richard Wood, 2020. "Adding country resolution to EXIOBASE: impacts on land use embodied in trade," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-25, December.
    3. Kulionis, Viktoras & Wood, Richard, 2020. "Explaining decoupling in high income countries: A structural decomposition analysis of the change in energy footprint from 1970 to 2009," Energy, Elsevier, vol. 194(C).
    4. Bernhard Michel & Caroline Hambÿe & Bart Hertveldt, 2020. "The Role of Exporters and Domestic Producers in GVCs: Evidence for Belgium Based on Extended National Supply and Use Tables Integrated into a Global Multiregional Input-Output Table," NBER Chapters, in: Challenges of Globalization in the Measurement of National Accounts, pages 347-387, National Bureau of Economic Research, Inc.
    5. Bernhard Michel & Caroline Hambÿe & Bart Hertveldt, 2018. "The Role of Exporters and Domestic Producers in GVCs: Evidence for Belgium based on Extended National Supply-and-Use Tables Integrated into a Global Multiregional Input-Output Table," NBER Working Papers 25155, National Bureau of Economic Research, Inc.

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