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The ECA-method for Identifying Sensitive Reactions within an IO Context

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  • Hermann Schnabl

Abstract

The paper introduces an alternative method to determine "sensitivity' within an input-output-context and makes the most sensitive connections visible in an overall graph. The method called ECA (Elasticity Coefficient Analysis) tries—like the Important Coefficient Analysis (ICA)—to derive structures from a certain property of the Leontief inverse. As the core of the method is elasticity—i.e. taking the relative reaction of the element bij of the inverse as a measure of response to a 1% change of the input coefficient aij—it describes the dynamic potential of certain sectors on possible changes of technical coefficients. In the second part of the paper, comparisons are made between the results of MFA (Minimal Flow Analysis), ICA and ECA upon using the same table for analysis. ICA and ECA to some extent show similarities but also some differences. Both contrast with MFA with respect to the very basis of the approach that enforces different interpretations of the results. Finally, some hypotheses on the differences and similarities are set up that could give a perspective for the further use of the different methods.

Suggested Citation

  • Hermann Schnabl, 2003. "The ECA-method for Identifying Sensitive Reactions within an IO Context," Economic Systems Research, Taylor & Francis Journals, vol. 15(4), pages 495-504.
    • Handle: RePEc:taf:ecsysr:v:15:y:2003:i:4:p:495-504
    DOI: 10.1080/0953531032000152344
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    References listed on IDEAS

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    1. Fidel Aroche-Reyes, 2002. "Structural Transformations and Important Coefficients in the North American Economies," Economic Systems Research, Taylor & Francis Journals, vol. 14(3), pages 257-273.
    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. Tarancon, M.A., 2006. "Locating the Most Important Transactions of the Economy by an Alternative Sensivity Analysis. Application to the Employment Structure of Nine European Countries," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 6(1).
    2. Tarancon, Miguel Angel & Del Río, Pablo, 2012. "Assessing energy-related CO2 emissions with sensitivity analysis and input-output techniques," Energy, Elsevier, vol. 37(1), pages 161-170.
    3. Chong YIN & Zhi Yuan YANG, 2016. "The Inter-Industrial Linkage Indicators (Iili): A Contribution For The Measurement Of The Industrial Structure Evolution In China (2002, 2007)," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 16(1).
    4. Tarancon, Miguel Angel & del Rio, Pablo, 2007. "CO2 emissions and intersectoral linkages. The case of Spain," Energy Policy, Elsevier, vol. 35(2), pages 1100-1116, February.
    5. Ana Salomé García Muñiz & Fidel Aroche Reyes & Carmen Ramos Carvajal, 2007. "Determinación de coeficientes importantes por niveles tecnológicos: una aproximación desde el modelo de Miyazawa," Investigaciones Economicas, Fundación SEPI, vol. 31(1), pages 161-190, January.

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