IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/halshs-00803541.html
   My bibliography  Save this paper

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. The ability to disseminate technologies and to take advantage of these international spillovers, however, differs from one country to another. Our estimates indicate that Brazil has positioned itself as the main actor in the region in terms of technological diffusion, while Bolivia is the country most likely to benefit from these spillover effects.

Suggested Citation

  • Carolina Guevara & Corinne Autant-Bernard, 2013. "Technological interdependence between south american countries : a spatial panel data growth model," Working Papers halshs-00803541, HAL.
  • Handle: RePEc:hal:wpaper:halshs-00803541
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00803541
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-00803541/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cem Ertur & Wilfried Koch, 2007. "Growth, technological interdependence and spatial externalities: theory and evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1033-1062.
    2. KOCH, Wilfried, 2006. "Total Factor Productivity equation and development accounting: New evidence," LEG - Document de travail - Economie 2006-04, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.
    3. 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.
    4. Cem Ertur & Wilfried Koch, 2006. "The Role of Human Capital and Technological Interdependence in Growth and Convergence Processes: International Evidence," DEGIT Conference Papers c011_029, DEGIT, Dynamics, Economic Growth, and International Trade.
    5. Cem Ertur & Wilfried Koch, 2011. "A contribution to the theory and empirics of Schumpeterian growth with worldwide interactions," Journal of Economic Growth, Springer, vol. 16(3), pages 215-255, September.
    6. Padovano, Fabio & Petrarca, Ilaria, 2014. "Are the responsibility and yardstick competition hypotheses mutually consistent?," European Journal of Political Economy, Elsevier, vol. 34(C), pages 459-477.
    7. Álvarez, Inmaculada C. & Barbero, Javier & Zofío, José L., 2017. "A Panel Data Toolbox for MATLAB," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i06).
    8. Harald Badinger & Peter Egger, 2013. "Estimation and testing of higher-order spatial autoregressive panel data error component models," Journal of Geographical Systems, Springer, vol. 15(4), pages 453-489, October.
    9. repec:zbw:bofrdp:2010_021 is not listed on IDEAS
    10. Guilherme Resende & Alexandre Carvalho & Patrícia Sakowski & Túlio Cravo, 2016. "Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 1-31, January.
    11. Klenow, Peter J. & Rodriguez-Clare, Andres, 2005. "Externalities and Growth," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 11, pages 817-861, Elsevier.
    12. Fingleton, Bernard & Szumilo, Nikodem, 2019. "Simulating the impact of transport infrastructure investment on wages: A dynamic spatial panel model approach," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 148-164.
    13. David Mayer Foulkes., 2007. "Subdesarrollo y globalización," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 155-192, May.
    14. 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.
    15. Su, Liangjun & Yang, Zhenlin, 2015. "QML estimation of dynamic panel data models with spatial errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 230-258.
    16. Harald Badinger & Peter Egger, 2016. "Productivity Spillovers Across Countries and Industries: New Evidence From OECD Countries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 501-521, August.
    17. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    18. Mosahid Khan & Kul B. Luintel & Konstantinos Theodoris, 2010. "How Robust is the R&D – Productivity relationship? Evidence from OECD Countries," WIPO Economic Research Working Papers 01, World Intellectual Property Organization - Economics and Statistics Division, revised Dec 2010.
    19. repec:wip:wpaper:1 is not listed on IDEAS
    20. Fukasawa, Eiji & Fukasawa, Takeshi & Ogawa, Hikaru, 2020. "Intergovernmental competition for donations: The case of the Furusato Nozei program in Japan," Journal of Asian Economics, Elsevier, vol. 67(C).
    21. Thomas Andersen & Carl-Johan Dalgaard, 2011. "Flows of people, flows of ideas, and the inequality of nations," Journal of Economic Growth, Springer, vol. 16(1), pages 1-32, March.
    22. ERTUR, Cem & KOCH, Wilfried, 2006. "Convergence, Human Capital and International Spillovers," LEG - Document de travail - Economie 2006-03, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.

    More about this item

    Keywords

    Total Factor Productivity; Technology diffusion; spatial panel model;
    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:halshs-00803541. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.