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Imputed Interindustry Technology Flows - A Comparative SMFA Analysis

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  • Axel During
  • Hermann Schnabel

Abstract

This paper shows how the pattern of an interindustry R&D flow system can be detected using a Subsystem-MFA (SMFA). The standard subsystem analysis shows the innovation spillovers of the relevant innovative sectors of a country, which are then turned into graphical form so that the sector clustering into this system can be displayed like a 'molecule' of sectors. The analysis uses the recently published input-output tables of the OECD for Germany, Japan and the United States for the beginning, the middle and the end of the 1980s. The analysis uses R&D-expenditures as an innovation-indicatorvector, published also by the OECD. The results show that there are specific patterns of interindustry imputed R&D flows that differ to some extent between the given countries. These differences can be interpreted as being due to the specific economic history of these countries.

Suggested Citation

  • Axel During & Hermann Schnabel, 2000. "Imputed Interindustry Technology Flows - A Comparative SMFA Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 12(3), pages 363-375.
    • Handle: RePEc:taf:ecsysr:v:12:y:2000:i:3:p:363-375
    DOI: 10.1080/09535310050120934
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    References listed on IDEAS

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    1. Tullio Gregori & Gustav Schachter, 1999. "Assessing Aggregate Structural Change," Economic Systems Research, Taylor & Francis Journals, vol. 11(1), pages 67-82.
    2. Santadas Ghosh & Joyashree Roy, 1998. "Qualitative Input-Output Analysis of the Indian Economic Structure," Economic Systems Research, Taylor & Francis Journals, vol. 10(3), pages 263-274.
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    Cited by:

    1. Sikhanwita Roy & Tuhin Das & Debesh Chakraborty, 2002. "A Study on the Indian Information Sector: An Experiment with Input-Output Techniques," Economic Systems Research, Taylor & Francis Journals, vol. 14(2), pages 107-129, June.
    2. Alex R. Hoen, 2002. "Identifying Linkages with a Cluster-based Methodology," Economic Systems Research, Taylor & Francis Journals, vol. 14(2), pages 131-146, June.

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