Bayesian Analysis of Knowledge Spillovers in European Regions
AbstractThis 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. Copyright Blackwell Publishers, 2005
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Bibliographic InfoArticle provided by Wiley Blackwell in its journal Journal of Regional Science.
Volume (Year): 45 (2005)
Issue (Month): 4 ()
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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0022-4146
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- 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.
- 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, 19692003," 2006 Annual meeting, July 23-26, Long Beach, CA 21157, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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