The Determinants of Economic Growth in European Regions
By Jesús Crespo Cuaresma, G. Doppelhofer, Martin Feldkircher. Social Science Research Network, 2014
361 citations recorded by the source corpus.
Crespo Cuaresma J., Doppelhofer G. and Feldkircher M. The determinants of economic growth in European regions, Regional Studies. This paper uses Bayesian model averaging (BMA) to find robust determinants of economic growth between 1995 and 2005 in a new data set of 255 European regions. It finds that income convergence between countries is dominated by the catching-up of regions in new member states in Central and Eastern Europe, whereas convergence within countries is driven by regions in old European Union member states. Regions containing capital cities are growing faster, particularly in Central and Eastern European countries, as do regions with a large share of workers with a higher education. The results are robust when allowing for spatial spillovers among European regions.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/acd29a801ada824176f5eea490bc01530f3d72f4
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In Economics and Econometrics
- Jesús Crespo Cuaresma
- Martin Feldkircher
- R. Hippe
- R. Ruubel
- M. Simionescu
- Heili Hein
- Kadri Männasoo
- C. Diebolt
Citations in the corpus
- Determinants of Economic Growth in V4 Countries and Romania (2017, background): “�oreover, Cuaresma et al. (2014) showed that the regions around the capitals of the new members of the EU grew rapidly because of more educated labour resources in 1995-2005.”
- The long-run impact of human capital on innovation and economic development in the regions of Europe (2018, background): “In addition, the literature on the impact of human capital and innovation on economic development and growth in the European regions is also large (e.g., Fagerberg, Verspagen, and Caniels 1997; Rodríguez-Pose and Crescenzi 2008; Sterlacchini 2008; Cuaresma, Doppelhofer, and Feldkircher 2012).”
- Spatial filtering, model uncertainty and the speed of income convergence in Europe (2013, methodology): “The comparison to the results in Crespo Cuaresma et al. (2009), who perform standard 18As mentioned above, this shape of the posterior distribution is partly caused by single specifications obtaining large posterior model probabilities, a feature which is related to the use of fixed g-priors and has”