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A Contribution to the Schumpeterian Growth Theory and Empirics

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  • Cem Ertur

    ()
    (LEO - Laboratoire d'économie d'Orleans - CNRS : UMR6221 - Université d'Orléans)

  • Wilfried Koch

    ()
    (LEG - Laboratoire d'Economie et de Gestion - CNRS : UMR5118 - Université de Bourgogne)

Abstract

Cet article propose un cadre théorique et méthodologique unifie caractérisé par la priseen compte explicite des intéractions technologiques dans la modélisation des processus decroissance en adoptant une perspective Schumpétérienne. L'interdépendance globale impliquée par les spillovers internationaux de R&D doit être intégrée non seulement dans lamodélisation théorique mais également dans la spécification économétrique qui en découle.L'économétrie spatiale apparaît alors naturellement comme la méthodologie adéquate pourtraiter le problème de l'estimation de telles spécifications. Le modèle économétrique que nousproposons inclut le modèle de croissance néoclassique comme cas particulier. Nous pouvonspar conséquent tester explicitement le rôle joué par les investissements en R&D dans le processusde croissance de long terme contre le modèle de croissance de Solow. Finalement, lespropriétés de notre spécification économétrique spatiale permettent d'évaluer les effets directet indirect des spillovers internationaux de R&D.

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Bibliographic Info

Paper provided by HAL in its series Post-Print with number halshs-00327641.

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Date of creation: 2008
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Handle: RePEc:hal:journl:halshs-00327641

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Keywords: Contribution; Schumpeterian; Growth; Theory; Empirics;

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References

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Citations

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Cited by:
  1. Niang, Abdou-Aziz, 2010. "Croissance et convergence économique en Afrique : L’impact des effets spatiaux
    [Growth and convergence in Africa: The impact of spatial effects]
    ," MPRA Paper 24059, University Library of Munich, Germany.
  2. Carolina Guevara & Corinne Autant-Bernard, 2013. "Technological interdependence between south american countries : a spatial panel data growth model," Working Papers halshs-00803541, HAL.
  3. Debarsy, Nicolas & Ertur, Cem, 2010. "Testing for spatial autocorrelation in a fixed effects panel data model," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 453-470, November.

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