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A Contribution to the Schumpeterian Growth Theory and Empirics

Author

Listed:
  • Cem Ertur

    (LEO - Laboratoire d'économie d'Orleans [2008-2011] - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

  • Wilfried Koch

    (LEG - Laboratoire d'Economie et de Gestion - UB - Université de Bourgogne - CNRS - Centre National de la Recherche Scientifique)

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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  • Cem Ertur & Wilfried Koch, 2008. "A Contribution to the Schumpeterian Growth Theory and Empirics," Post-Print halshs-00327641, HAL.
    • Handle: RePEc:hal:journl:halshs-00327641
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00327641
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    2. Carolina Guevara & Corinne Autant-Bernard, 2015. "Technological interdependence between South American countries: a spatial panel data growth model," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(1), pages 181-210.
    3. Nicolas Debarsy, 2012. "The Mundlak Approach in the Spatial Durbin Panel Data Model," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 109-131, March.
    4. 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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