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Technological Interdependence between South American Countries: A Spatial Panel Data Growth Model

Author

Listed:
  • 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)

  • 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)

Abstract

This study examines how the dissemination of research and development (R&D) and technology affected economic performance in different South American countries from 1990 to 2010. The objective is to understand the relationship between countries in the process of international technology diffusion, i.e. measuring externalities and identifying the mechanisms through which technology is transferred. To answer these questions, we consider the Schumpeterian growth model proposed by Ertur and Koch (2011). This framework accounts for the interdependences between countries (resulting from R&D externalities) from both a theoretical and an empirical point of view. With this spatial panel model, we assess the extent to which one country's productivity affects the productivity of other countries in the region 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 originality of this study lies firstly through the use of R&D measures that allow different sources of funding to be distinguished. In particular, we can thus assess the role of R&D expenditure from national sources in comparison with R&D expenditure from foreign sources which, in the context of developing countries, is a key issue. In addition, we provide an assessment of the role of absorptive capacity in terms of research expenditure or investment in human capital on the productivity levels of countries in the region. The results suggest that of the various factors determining South America's economic performance, public sector funded R&D investments and, to a lesser extent, private sector funded R&D, have a positive impact on these countries' productivity. In contrast, however, foreign investment in research does not produce the expected benefits. We also observe that there are significant international spillovers from R&D activities.
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Suggested Citation

  • Carolina Guevara & Corinne Autant-Bernard, 2014. "Technological Interdependence between South American Countries: A Spatial Panel Data Growth Model," Post-Print halshs-01090739, HAL.
  • Handle: RePEc:hal:journl:halshs-01090739
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    References listed on IDEAS

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    1. 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.
    2. Bianco, Dominique & Niang, Abdou-Aziz, 2012. "On international spillovers," Economics Letters, Elsevier, vol. 117(1), pages 280-282.
    3. Kul B Luintel & Mosahid Khan, 2002. "Are International R&D Spillovers Costly for the US?," Public Policy Discussion Papers 02-21, Economics and Finance Section, School of Social Sciences, Brunel University.
    4. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    5. 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.
    6. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    7. 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.
    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. Carolina Guevara, 2016. "Growth agglomeration effects in spatially interdependent Latin American regions," Working Papers 1611, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    2. Grace Carolina Guevara Rosero, 2015. "Impact of agglomeration on the regional growth of Latin American countries," ERSA conference papers ersa15p675, European Regional Science Association.

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    More about this item

    Keywords

    South America; Technological Networks; Panel Data Econometrics; Regional Science;
    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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