Technological interdependence between south american countries : a spatial panel data growth model
AbstractThis 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by HAL in its series Working Papers with number halshs-00803541.
Date of creation: 22 Mar 2013
Date of revision:
Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00803541
Contact details of provider:
Web page: http://hal.archives-ouvertes.fr/
Total Factor Productivity ; Technology diffusion ; spatial panel model;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-04-06 (All new papers)
- NEP-CSE-2013-04-06 (Economics of Strategic Management)
- NEP-EFF-2013-04-06 (Efficiency & Productivity)
- NEP-GEO-2013-04-06 (Economic Geography)
- NEP-INO-2013-04-06 (Innovation)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- N. Gregory Mankiw & David Romer & David N. Weil, 1990.
"A Contribution to the Empirics of Economic Growth,"
NBER Working Papers
3541, National Bureau of Economic Research, Inc.
- Bianco, Dominique & Niang, Abdou-Aziz, 2012.
"On International Spillovers,"
41046, University Library of Munich, Germany.
- 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.
- 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.
- Kul Luintel & Mosahid Khan, 2004. "Are International R&D Spillovers Costly For The US?," Royal Economic Society Annual Conference 2004, Royal Economic Society 10, Royal Economic Society.
- 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.
- Wolfgang Keller, 2004.
"International Technology Diffusion,"
Journal of Economic Literature,
American Economic Association, vol. 42(3), pages 752-782, September.
- Jan Mutl & Michael Pfaffermayr, 2011. "The Hausman test in a Cliff and Ord panel model," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 48-76, February.
- Peter Howitt, 2000. "Endogenous Growth and Cross-Country Income Differences," American Economic Review, American Economic Association, vol. 90(4), pages 829-846, September.
- 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.
- Cem Ertur & Wilfried Koch, 2008. "A Contribution to the Schumpeterian Growth Theory and Empirics," Post-Print halshs-00327641, HAL.
- 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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD).
If references are entirely missing, you can add them using this form.