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Determinación de coeficientes importantes por niveles tecnológicos: una aproximación desde el modelo de Miyazawa


  • Ana Salomé García Muñiz

    (Universidad de Oviedo)

  • Fidel Aroche Reyes

    (Universidad Autónoma de México)

  • Carmen Ramos Carvajal

    (Universidad de Oviedo)


El estudio sistemático del modo en que se organizan y disponen los intercambios en la estructura productiva, permite obtener una información enriquecedora, si se relaciona con la capacidad innovadora de las distintas ramas de la producción. El método propuesto por Miyazawa (1966,1971) aplicado a la descomposición de las interrelaciones sectoriales por niveles tecnológicos, puede ser especialmente adecuado para este propósito. A partir de esta metodología, el presente trabajo, profundiza en el conocimiento de la articulación productiva, determinando aquellos coeficientes importantes (Aroche Reyes, 1996, 2002) en la difusión de la influencia económica en y/o entre perfiles tecnológicos.

Suggested Citation

  • 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.
  • Handle: RePEc:iec:inveco:v:31:y:2007:i:1:p:161-190

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    References listed on IDEAS

    1. C. Antonelli, 2007. "Localized Technological Change," Chapters,in: Elgar Companion to Neo-Schumpeterian Economics, chapter 16 Edward Elgar Publishing.
    2. Johan Hauknes, "undated". "Norwegian Input-Output Clusters and Innovation Patterns," STEP Report series 199815, The STEP Group, Studies in technology, innovation and economic policy.
    3. Scherer, F M, 1982. "Inter-Industry Technology Flows and Productivity Growth," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 627-634, November.
    4. Antonelli, Cristiano, 1999. "The Evolution of the Industrial Organisation of the Production of Knowledge," Cambridge Journal of Economics, Oxford University Press, vol. 23(2), pages 243-260, March.
    5. Norihisa Sakurai & George Papaconstantinou & Evangelos Ioannidis, 1997. "Impact of R&D and Technology Diffusion on Productivity Growth: Empirical Evidence for 10 OECD Countries," Economic Systems Research, Taylor & Francis Journals, vol. 9(1), pages 81-109.
    6. 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.
    7. 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.
    8. Miyazawa, Kenichi, 1971. "An Analysis of the Interdependence between Service and Goods-Producing Sectors," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 12(1), pages 10-21, June.
    9. Ana Salomé García & Antonio Morillas & Carmen Rueda, 2005. "Relaciones interindustriales y difusión de la innovación: una aproximación desde la Teoría de Redes," Urban/Regional 0512005, EconWPA.
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    Cited by:

    1. García Muñiz, Ana Salomé, 2013. "Input–output research in structural equivalence: Extracting paths and similarities," Economic Modelling, Elsevier, vol. 31(C), pages 796-803.

    More about this item


    Teoría de grafos; análisis input-output; innovación.;

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models


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