TY - JOUR
T1 - The European regional growth process revisited
AU - Dall'Erba, Sandy
AU - Percoco, Marco
AU - Piras, Gianfranco
N1 - Funding Information:
Sandy Dall’erba (to whom correspondence should be sent), Department of Geography and Regional Development, University of Arizona, Harvill Building Box #2, Tucson, AZ 85721, USA. Email: [email protected]. Marco Percoco, Department of Economics and CERTeT, UniversitÁ Bocconi, Piazza Sraffa 13, 20121 Milan, Italy. Email: [email protected]. Gianfranco Piras, University ’G.d’Annunzio’ of Chieti-Pescara, Faculty of Economics, Viale Pindaro, 42, I-65100 Pescara, Italy, and REAL, UIUC. Email: [email protected]. The authors would like to thank Bernard Fingleton, Paul Cheshire, Cem Ertur, Wilfried Koch, Jean Paelinck, Art Getis, Eckhardt Bode, Brigitte Waldorf, Julie Le Gallo and participants at conferences in Amsterdam (ERSA), Dijon (ASDRLF), Naples (AISRe), Santa Fe (WRSA) and Toronto (RSAI) for very useful comments on earlier drafts of the paper. The usual disclaimers apply. Percoco and Dall’erba gratefully acknowledge financial support from Bocconi University (Ricerca di base) and the European Commission (Marie Curie fellowship), respectively.
PY - 2008/2
Y1 - 2008/2
N2 - With the 2004 enlargement to the East, the EU regional growth process can no longer be seen in the frame of the traditional core-periphery pattern. This is why this article proposes an innovative methodology to endogenously detect convergence clubs while accounting for spatial autocorrelation across regions. Our model is estimated on 244 EU25 regions over 1991-2003. Our results indicate that four distinctive clubs are present in our sample. In addition, the model we use does not rely on the traditional neoclassical model but on Verdoorn's law, which allows us to account for the presence of increasing returns to scale. Our conclusions give new insights for policy makers interested in convergence and regional policies developed to promote it.
AB - With the 2004 enlargement to the East, the EU regional growth process can no longer be seen in the frame of the traditional core-periphery pattern. This is why this article proposes an innovative methodology to endogenously detect convergence clubs while accounting for spatial autocorrelation across regions. Our model is estimated on 244 EU25 regions over 1991-2003. Our results indicate that four distinctive clubs are present in our sample. In addition, the model we use does not rely on the traditional neoclassical model but on Verdoorn's law, which allows us to account for the presence of increasing returns to scale. Our conclusions give new insights for policy makers interested in convergence and regional policies developed to promote it.
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U2 - 10.1080/17421770701733399
DO - 10.1080/17421770701733399
M3 - Article
AN - SCOPUS:39649109873
SN - 1742-1772
VL - 3
SP - 7
EP - 25
JO - Spatial Economic Analysis
JF - Spatial Economic Analysis
IS - 1
ER -