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Bayesian Analysis of Knowledge Spillovers in European Regions

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  • Olivier Parent
  • Stéphane Riou

Abstract

. This paper estimates the effects of knowledge spillovers on patent growth rates across 335 European regions over the 1989–1999 period. We propose a dynamic model based on an innovation production function. A Bayesian approach is used to take into account area‐specific innovation and spatial spillovers. The estimation of the model proceeds via Markov Chain Monte Carlo simulation. The results show significant positive and negative spatial effects on innovative activity. The model allows for a rich spatial specification, which we illustrate by incorporating transport proximity measured by transportation time between regions to augment the typical spatial proximity measure of connectivity between regions. Doing this produces more pronounced spatial spillovers that exhibit a more polarized spatial pattern than a model relying on spatial proximity alone.

Suggested Citation

  • Olivier Parent & Stéphane Riou, 2005. "Bayesian Analysis of Knowledge Spillovers in European Regions," Journal of Regional Science, Wiley Blackwell, vol. 45(4), pages 747-775, November.
    • Handle: RePEc:bla:jregsc:v:45:y:2005:i:4:p:747-775
    DOI: 10.1111/j.0022-4146.2005.00391.x
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    1. Brülhart, Marius, 1996. "Regional Integration, Scale Economies and Industry Location in the European Union," CEPR Discussion Papers 1435, C.E.P.R. Discussion Papers.
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    Cited by:

    1. Valerien O. Pede & Raymond J. G. M. Florax & Henri L. F. De Groot, 2007. "Technological Leadership, Human Capital and Economic Growth: a Spatial Econometric Analysis for US Counties, 1969-2003," Annals of Economics and Statistics, GENES, issue 87-88, pages 103-124.
    2. Feldman, Maryann P. & Kogler, Dieter F., 2010. "Stylized Facts in the Geography of Innovation," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 381-410, Elsevier.
    3. Arias-Aranda, Daniel & Romerosa-Martínez, M. Mercedes, 2010. "Innovation in the functional foods industry in a peripheral region of the European Union: Andalusia (Spain)," Food Policy, Elsevier, vol. 35(3), pages 240-246, June.
    4. Olof Ejermo & Katrin Hussinger & Basheer Kalash & Torben Schubert, 2022. "Innovation in Malmö after the Öresund Bridge," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 5-20, January.
    5. Pede, Valerien O. & Florax, Raymond J.G.M. & de Groot, Henri L.F., 2006. "The Role of Knowledge Externalities in the Spatial Distribution of Economic Growth: A Spatial Econometric Analysis for US Counties, 1969-2003," 2006 Annual meeting, July 23-26, Long Beach, CA 21157, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Eveline Van Leeuwen & Sandy Dall'erba, 2000. "Does Agricultural Employment Benefit From EU Support?," Regional and Urban Modeling 283600099, EcoMod.
    7. Martin-Barroso, David & Nuñez Serrano, Juan Andres & Velazquez, Francisco J., 2010. "Spatial productivity spillovers across Spanish municipalities," MPRA Paper 33603, University Library of Munich, Germany, revised 2010.
    8. Jesús Mur & Fernando López & Ana Angulo, 2010. "Instability in spatial error models: an application to the hypothesis of convergence in the European case," Journal of Geographical Systems, Springer, vol. 12(3), pages 259-280, September.
    9. repec:hal:spmain:info:hdl:2441/7ell01j45s8loqtvgom5ci9i3h is not listed on IDEAS
    10. repec:elg:eechap:14395_24 is not listed on IDEAS
    11. Guangqing Chi & Jun Zhu, 2008. "Spatial Regression Models for Demographic Analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 27(1), pages 17-42, February.
    12. Jesús Mur & Fernando López & Ana Angulo, 2009. "Testing the hypothesis of stability in spatial econometric models," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 409-444, June.

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