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Regions, Technological Interdependence And Growth In Europe

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  • Manfred M. Fischer

    ()
    (Vienna University of Economics and Business, Wienn, Austria)

Abstract

This paper presents a theoretical neoclassical growth model with two kinds of capital, and technological interdependence among regions. Technological interdependence is assumed to operate through spatial externalities caused by disembodied knowledge diffusion between technologically similar regions. The transition from theory to econometrics yields a reduced-form empirical model that in the spatial econometrics literature is known as spatial Durbin model. Technological dependence between regions is formulated by a connectivity matrix that measures closeness of regions in a technological space spanned by 120 distinct technological fields. We use a system of 158 regions across 14 European countries over the period from 1995 to 2004 to empirically test the model. The paper illustrates the importance of an impact-based model interpretation, in terms of the LeSage and Pace (2009) approach, to correctly quantify the magnitude of spillover effects that avoid incorrect inferences about the presence or absence of significant capital externalities among technologically similar regions.

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Bibliographic Info

Article provided by Romanian Regional Science Association in its journal Romanian Journal of Regional Science.

Volume (Year): 3 (2009)
Issue (Month): 2 (DECEMBER)
Pages: 1-17

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Handle: RePEc:rrs:journl:v:3:y:2009:i:2:p:1-17

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Related research

Keywords: Economic growth; augmented Mankiw-Romer-Weil model; disembodied knowledge diffusion; technological similarity between regions; spatial econometrics; European regions;

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References

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  1. repec:fth:harver:1473 is not listed on IDEAS
  2. Zvi Griliches, 1990. "Patent Statistics as Economic Indicators: A Survey," NBER Working Papers 3301, National Bureau of Economic Research, Inc.
  3. Mankiw, N Gregory & Romer, David & Weil, David N, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 407-37, May.
  4. G�ran Therborn & K.C. Ho, 2009. "Introduction," City, Taylor & Francis Journals, vol. 13(1), pages 53-62, March.
  5. Jonathan R. W. Temple, 1998. "Robustness tests of the augmented Solow model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(4), pages 361-375.
  6. Durlauf, S.M. & Johnson, P.A., 1995. "Multiple Regimes and Cross-Country Growth Behavior," Working papers 9419r, Wisconsin Madison - Social Systems.
  7. Enrique López-Bazo & Esther Vayá & Manuel Artís, 2004. "Regional Externalities And Growth: Evidence From European Regions," Journal of Regional Science, Wiley Blackwell, vol. 44(1), pages 43-73.
  8. Bernard Fingleton & Manfred Fischer, 2010. "Neoclassical theory versus new economic geography: competing explanations of cross-regional variation in economic development," The Annals of Regional Science, Springer, vol. 44(3), pages 467-491, June.
  9. ERTUR, Cem & KOCH, Wilfried, 2005. "Growth, Technological Interdependence and Spatial Externalities: Theory and Evidence," LEG - Document de travail - Economie 2005-03, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.
  10. James Lesage & Manfred Fischer, 2008. "Spatial Growth Regressions: Model Specification, Estimation and Interpretation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 275-304.
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Cited by:
  1. Zizi goschin, 2014. "R&D As An Engine Of Regional Economic Growth In Romania," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 8(1), pages 24-37, JUNE.

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