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A Contribution to the Schumpeterian Growth Theory and Empirics

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  • Cem Ertur
  • Wilfried Koch

Abstract

This paper proposes an integrated theoretical and methodological framework characterized by technological interactions to explain growth processes from a Schumpeterian perspective. Global interdependence implied by international R&D spillovers needs to be taken into account in the theoretical model as well as in the empirical model. The spatial econometric methodology is the adequate tool to empirically deal with this issue. The econometric model we propose includes the neoclassical growth model as a particular case. We can therefore explicitly test the role of R&D investment in the long run growth process against the Solow growth model. Finally, the properties of our spatial econometric specification allow evaluating explicitly the impact of home and foreign R&D spillovers.

Suggested Citation

  • Cem Ertur & Wilfried Koch, 2010. "A Contribution to the Schumpeterian Growth Theory and Empirics," DEGIT Conference Papers c015_021, DEGIT, Dynamics, Economic Growth, and International Trade.
  • Handle: RePEc:deg:conpap:c015_021
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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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