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Lock-In Effects Of Eu R&D Spending On Regional Growth. A Non-Parametric And Semi-Parametric Conditional Quantile Regressions Approach

Listed author(s):
  • Antonio Acconcia

    (Università degli Studi di Napoli Federico II)

  • Daniel Montolio

    (Universidad de Barcelona)

  • Leone Leonida

    (Università Degli Studi Della Calabria)

  • Marta Espasa

    (Universidad de Barcelona)

The purpose of this paper is twofold. First, we study the allocation of European Union (EU) expenditure in Research and Development (R&D) across European regions. Second, we focus on the effects of this variable on regional per capita GDP levels, and on regional growth rates. Using non-parametric and semi-parametric conditional quantiles, we found empirical evidence in favour of different effects of R&D expenditure among conditional quantiles of the per capita income distribution, and of the growth rates distribution. Moreover, we find a ?lock-in effect? of R&D spending. A positive relation between growth rates and this component of the EU expenditure is estimated for regions with higher growth rates, with these regions tending to have a higher and common growth rate as R&D expenditure increases. Furthermore, slow growth regions seem to approach to a common but lower growth rate. The estimates relative to the relationship between the per capita regional GDP and the R&D spending confirm these findings. El objetivo de este trabajo es doble. Primero, se asignan los gastos enInvestigación y Desarrollo (I+D) de la Unión Europea (EU) entre las regiones de lospaíses miembros. Segundo, se estudian los efectos de dicha variable sobre ladistribución del Producto Interior Bruto (PIB) per cápita y sobre la distribución de lastasas de crecimiento del PIB. Utilizando estimaciones cuantílicas condicionales noparamétricasy semi-paramétricas se encuentra evidencia empírica de efectosdiferenciados de los gastos en I+D sobre los cuantiles de dichas distribuciones. Además,se encuentra un efecto ¿cerrojo¿ del gasto europeo en I+D: existe una relación positivaentre este tipo de gasto y las tasas de crecimiento del PIB para regiones con altas tasasde crecimiento. Las regiones con bajos niveles de crecimiento tienden a crecer a tasasinferiores. Las estimaciones relativas al efecto del gasto en I+D sobre la distribución delPIB per capita de las regiones europeas confirman dichos resultados.

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Paper provided by Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie) in its series Working Papers. Serie EC with number 2002-12.

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Length: 31 pages
Date of creation: Jun 2002
Publication status: Published by Ivie
Handle: RePEc:ivi:wpasec:2002-12
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  1. Quah, Danny T., 1996. "Regional convergence clusters across Europe," European Economic Review, Elsevier, vol. 40(3-5), pages 951-958, April.
  2. Charles I. Jones, 1995. "Time Series Tests of Endogenous Growth Models," The Quarterly Journal of Economics, Oxford University Press, vol. 110(2), pages 495-525.
  3. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics,in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339 Elsevier.
  4. Segerstrom, Paul S, 2000. "The Long-Run Growth Effects of R&D Subsidies," Journal of Economic Growth, Springer, vol. 5(3), pages 277-305, September.
  5. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
  6. Cremer, Helmuth & Pestieau, Pierre, 1996. "Distributive implications of European integration," European Economic Review, Elsevier, vol. 40(3-5), pages 747-757, April.
  7. Yatchew, A., 1997. "An elementary estimator of the partial linear model," Economics Letters, Elsevier, vol. 57(2), pages 135-143, December.
  8. Michele Boldrin & Fabio Canova, 2001. "Inequality and convergence in Europe's regions: reconsidering European regional policies," Economic Policy, CEPR;CES;MSH, vol. 16(32), pages 205-253, 04.
  9. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  10. Quah, Danny, 1996. "Regional Convergence Clusters Across Europe," CEPR Discussion Papers 1286, C.E.P.R. Discussion Papers.
  11. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics,in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339 Elsevier.
  12. Peter Howitt, 1999. "Steady Endogenous Growth with Population and R & D Inputs Growing," Journal of Political Economy, University of Chicago Press, vol. 107(4), pages 715-730, August.
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