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Transport infrastructure has represented one of the cornerstones of development and cohesion strategies in the European Union (EU) and elsewhere in the world. However, despite the considerable funds devoted to it, its impact remains controversial. This paper revisits the question of to what extent transport infrastructure endowment - proxied by regional motorways - has contributed to regional growth in the EU between 1990 and 2004. It analyses infrastructure in relationship to other factors which may condition economic growth, such as innovation, migration, and the local 'social filter', taking also into account the geographical component of intervention in transport infrastructure and innovation. The results of the two-way fixed-effect (static) and difference GMM (dynamic) panel data regressions indicate that infrastructure endowment is a relatively poor predictor of economic growth and that regional growth in the EU results from a combination of an adequate 'social filter', good innovation capacity, both in the region and in neighbouring areas, and a region's capacity to attract migrants. The meagre returns of infrastructure endowment on economic growth raise interesting questions about the opportunity costs of further infrastructure investments across most of Western Europe. Resumen La infraestructura de transporte ha venido siendo una de las piedras angulares de las estrategias de desarrollo y cohesión en la Unión Europea ( UE) y el resto del mundo. Sin embargo, y a pesar de los considerables recursos que se le ha dedicado, su impacto es un tema controvertido. Este artículo revisa el interrogante de hasta que punto ha contribuido la dotación de infraestructura de transporte - representada por las autopistas regionales - al crecimiento regional en la UE entre 1990 y 2004. Se analiza la infraestructura en relación a otros factores que podrían condicionar el crecimiento económico, como la innovación, la migración, y el 'filtro social' local, teniendo en cuenta asimismo el componente geográfico de la intervención en la infraestructura de transporte y la innovación. Los resultados de las regresiones de datos de panel de efectos fijos (método estático) de doble vía y MGM por diferencias (método dinámico) indican que la dotación de infraestructura es un pobre indicador del crecimiento económico y que el crecimiento regional en la UE tiene su origen en una combinación de un 'filtro social' adecuado, en una buena capacidad innovadora tanto en la región como en áreas vecinas, y en la capacidad de la región de atraer migración. Los escasos retornos para el crecimiento económico de la dotación de infraestructura suscitan cuestiones interesantes sobre los costos de oportunidad de futuras inversiones en infraestructura para la mayoría de Europa Occidental. [ABSTRACT FROM AUTHOR]

This paper analyses the determinants of regional economic growth in the European Union adopting a non-parametric approach. Although the local-linear kernel estimator applied does not explicitly take into account the spatial dimension of the data, it is found to be consistent in our context. In addition, the geographically weighted regression turns out to be less efficient. We obtain evidence of a non-linear relationship between regional growth and its determinants in the form of parameter heterogeneity and threshold effects. These non-linearities mainly affect the initial productivity of labour, the human capital endowment and, as a novelty, the level of infrastructures. [ABSTRACT FROM AUTHOR]

At the end of 1990s, Danny Quah devoted several papers to the analysis of polarization and stratification in the convergence processes of economies, creating the image of the 'convergence clubs' and suggesting the importance of studying the distribution dynamics of the macroeconomic variables. As for the labour markets, Overman and Puga (2002) showed that a progressive polarization of unemployment was in fact occurring among the European regions in 1986-1996, causing a phenomenon of cross-border clusterization. Here we propose to analyse the evolution of the unemployment rates of the EU 27 regions in the last two decades assuming that the unemployment rates evolve according to a Gompertz stochastic process. The estimated parameters of the process - intrinsic growth rate, deceleration factor, volatility - represent the evolutionary path of the unemployment rate and allow for estimating the steady state of the process. A cluster analysis is performed on the steady state values of the unemployment rates. The analysis confirms the emergence of several 'convergence clubs' among the European regional labour markets, which are compared to the clusters resulting from the more traditional clusterization on the current unemployment rates. [ABSTRACT FROM AUTHOR]