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To RAS or not to RAS? What is the difference in outcomes in multi-regional input--output models?

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  • Kirsten S. Wiebe
  • Manfred Lenzen

Abstract

The global resource accounting model (GRAM), which is based on OECD input--output and bilateral trade data, is a multi-regional input--output model covering 53 countries and 2 regions. What differentiates GRAM from other state-of-the-art models in this field is that it does not use a matrix balancing technique, such as RAS, after the initial construction of the global intermediate coefficient and final demand matrices. Instead, it reproduces prescribed intermediate and final demand, and determines value added residually. This choice was made to alter the original data as little as possible and keep the calculations traceable. This simpler solution technique might, however, yield different results. This paper aims at identifying the difference between the current solution of GRAM and the solution of a RASed version of GRAM, thus contributing to the assessment of currently used methodologies in this research field. The short conclusion is that, even though some differences during the calculations are present, the calculated output (production) matrix does not differ substantially. The results show that larger differences are brought about by poor assumptions regarding missing or conflicting data rather than by applying or not applying a RAS procedure to the constructed global matrices.

Suggested Citation

  • Kirsten S. Wiebe & Manfred Lenzen, 2016. "To RAS or not to RAS? What is the difference in outcomes in multi-regional input--output models?," Economic Systems Research, Taylor & Francis Journals, vol. 28(3), pages 383-402, September.
  • Handle: RePEc:taf:ecsysr:v:28:y:2016:i:3:p:383-402
    DOI: 10.1080/09535314.2016.1192528
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    1. Matthias Ruth & Brynhildur Davidsdottir (ed.), 2009. "The Dynamics of Regions and Networks in Industrial Ecosystems," Books, Edward Elgar Publishing, number 13019.
    2. Satoshi Nakano & Asako Okamura & Norihisa Sakurai & Masayuki Suzuki & Yoshiaki Tojo & Norihiko Yamano, 2009. "The Measurement of CO2 Embodiments in International Trade: Evidence from the Harmonised Input-Output and Bilateral Trade Database," OECD Science, Technology and Industry Working Papers 2009/3, OECD Publishing.
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    Cited by:

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    5. Xesús Pereira-López & Napoleón Guillermo Sánchez-Chóez & Melchor Fernández-Fernández, 2021. "Performance of bidimensional location quotients for constructing input–output tables," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 10(1), pages 1-16, December.
    6. Nakano, Satoshi & Arai, Sonoe & Washizu, Ayu, 2018. "Development and application of an inter-regional input-output table for analysis of a next generation energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2834-2842.
    7. Rachel C. Reyes & Arne Geschke & Arjan de Koning & Richard Wood & Tatyana Bulavskaya & Konstantin Stadler & Hagen Schulte in den Bäumen & Arnold Tukker, 2017. "The Virtual IELab – an exercise in replicating part of the EXIOBASE V.2 production pipeline in a virtual laboratory," Economic Systems Research, Taylor & Francis Journals, vol. 29(2), pages 209-233, April.
    8. Schwärzler, Marion Cornelia & Kronenberg, Tobias, 2017. "Methodology of the Multiregional Health Account for Germany - An Iterative Algorithm-Based Multiregionalization Approach of Supply and Use Tables with Emphasis on Health," MPRA Paper 80712, University Library of Munich, Germany.
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    10. Wolfram, Paul & Wiedmann, Thomas, 2017. "Electrifying Australian transport: Hybrid life cycle analysis of a transition to electric light-duty vehicles and renewable electricity," Applied Energy, Elsevier, vol. 206(C), pages 531-540.

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