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Technological interdependence between South American countries: a spatial panel data growth model

Author

Listed:
  • Corinne Autant-Bernard

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Carolina Guevara

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper examines how R&D and innovation affected economic performance in different South American countries from 1990 to 2010. We consider a Schumpeterian growth model (Ertur and Koch, 2011) to assess the extent to which one countrys productivity affects the productivity of other countries and test the effectiveness of R&D in terms of direct and indirect impact on the economy. Different specifications of the spatial weight matrix are considered in order to investigate the different mechanisms of technological diffusion. The results suggest that public sector funded R&D investments and, to a lesser extent, private sector funded R&D, have a positive impact on these countries productivity. We also observe that there are significant international spillovers from R&D activities. The ability to disseminate technologies and to take advantage of these international spillovers, however, differs from one country to another.

Suggested Citation

  • Corinne Autant-Bernard & Carolina Guevara, 2015. "Technological interdependence between South American countries: a spatial panel data growth model," Post-Print halshs-00949842, HAL.
  • Handle: RePEc:hal:journl:halshs-00949842
    DOI: 10.3917/reru.151.0181
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    References listed on IDEAS

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    1. Kul B Luintel & Mosahid Khan, 2002. "Are International R&D Spillovers Costly for the US?," Economics and Finance Discussion Papers 02-21, Economics and Finance Section, School of Social Sciences, Brunel University.
    2. Jan Mutl & Michael Pfaffermayr, 2011. "The Hausman test in a Cliff and Ord panel model," Econometrics Journal, Royal Economic Society, vol. 14, pages 48-76, February.
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    4. Bianco, Dominique & Niang, Abdou-Aziz, 2012. "On international spillovers," Economics Letters, Elsevier, vol. 117(1), pages 280-282.
    5. Cem ERTUR & Wilfried KOCH, 2008. "A Contribution to the Schumpeterian Growth Theory and Empirics," LEO Working Papers / DR LEO 160, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    6. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    7. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    8. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
    9. Jonathan Eaton & Samuel Kortum, 1996. "Measuring Technology Diffusion and the International Sources of Growth," Eastern Economic Journal, Eastern Economic Association, vol. 22(4), pages 401-410, Fall.
    10. Peter Howitt, 2000. "Endogenous Growth and Cross-Country Income Differences," American Economic Review, American Economic Association, vol. 90(4), pages 829-846, September.
    11. Thomas R. Michl, 2000. "Notes on the New Endogenous Growth Theory A Review of Philippe Aghion and Peter Howitt, Endogenous Growth Theory (Cambridge, MA, 1998: The MIT Press)," Metroeconomica, Wiley Blackwell, vol. 51(2), pages 182-190, May.
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    Cited by:

    1. Grace Carolina Guevara Rosero, 2015. "Impact of agglomeration on the regional growth of Latin American countries," ERSA conference papers ersa15p675, European Regional Science Association.
    2. Carolina Guevara, 2016. "Growth agglomeration effects in spatially interdependent Latin American regions," Working Papers halshs-01281610, HAL.

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    More about this item

    Keywords

    Amérique du Sud; données de panel; Interdépendance technologique;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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