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

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Author Info
Ana Salomé García Muñiz (Universidad de Oviedo)
Fidel Aroche Reyes (Universidad Autónoma de México)
Carmen Ramos Carvajal (Universidad de Oviedo)
Abstract

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.

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Publisher Info
Article provided by Fundación SEPI in its journal Investigaciones Económicas.

Volume (Year): 31 (2007)
Issue (Month): 1 (January)
Pages: 161-190
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Handle: RePEc:iec:inveco:v:31:y:2007:i:1:p:161-190

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Related research
Keywords: Teoría de grafos análisis input-output innovación.

Find related papers by JEL classification:
C67 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Input-Output Models

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. 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. [Downloadable!]
  2. Antonelli Cristiano, 2003. "Localized technological change," Dipartimento di Economia "S. Cognetti de Martiis" LEI & BRICK - Laboratorio di economia dell'innovazione "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio Carlo 200305, University of Turin. [Downloadable!]
  3. Johan Hauknes, . "Norwegian Input-Output Clusters and Innovation Patterns," STEP Report series 199815, The STEP Group, Studies in technology, innovation and economic policy. [Downloadable!]
  4. Scherer, F M, 1982. "Inter-Industry Technology Flows and Productivity Growth," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 627-34, November. [Downloadable!] (restricted)
  5. Carter, Anne P, 1990. "Upstream and Downstream Benefits of Innovation," Economic Systems Research, Taylor and Francis Journals, vol. 2(3), pages 241-57.
  6. Siebe, Thomas, 1996. "Important Intermediate Transactions and Multi-sectoral Modelling," Economic Systems Research, Taylor and Francis Journals, vol. 8(2), pages 183-93, June.
  7. 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 243-60, March.
  8. Hermann Schnabl, 2003. "The ECA-method for Identifying Sensitive Reactions within an IO Context," Economic Systems Research, Taylor and Francis Journals, vol. 15(4), pages 495-504, December. [Downloadable!] (restricted)
  9. Sakurai, Norihisa & Papaconstantinou, George & Ioannidis, Evangelos, 1997. "Impact of R&D and Technology Diffusion on Productivity Growth: Empirical Evidence for 10 OECD Countries," Economic Systems Research, Taylor and Francis Journals, vol. 9(1), pages 81-109, March.
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