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Club convergence in European regions

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  • Rita De Siano
  • Marcella D'Uva

Abstract

This study investigates the 'club convergence' hypothesis applying the stochastic notion of convergence to groups of European regions. In order to avoid the group selection bias problem, the innovative regression tree technique was applied to select endogenously the most important variables in achieving the best identification of groups on the base of per capita income and productive specialization. Tests on stochastic convergence in each group evidences a strong convergence among the wealthiest regions of the European Union and a trend of weak convergence among the remaining groups, confirming Baumol's hypothesis of convergence.

Suggested Citation

  • Rita De Siano & Marcella D'Uva, 2006. "Club convergence in European regions," Applied Economics Letters, Taylor & Francis Journals, vol. 13(9), pages 569-574.
    • Handle: RePEc:taf:apeclt:v:13:y:2006:i:9:p:569-574
    DOI: 10.1080/13504850600733473
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    Cited by:

    1. Le Pen, Yannick, 2011. "A pair-wise approach to output convergence between European regions," Economic Modelling, Elsevier, vol. 28(3), pages 955-964, May.
    2. Cutrini, Eleonora & Mendez, Carlos, 2023. "Convergence clubs and spatial structural change in the European Union," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 167-181.
    3. Fabio Mazzola & Pietro Pizzuto, 2020. "Great Recession and club convergence in Europe: A cross‐country, cross‐region panel analysis (2000–2015)," Growth and Change, Wiley Blackwell, vol. 51(2), pages 676-711, June.
    4. Roman Kosmalski, 2023. "Równość czy efektywność. Wpływ polityki spójności na procesy wzrostu gospodarczego w województwach," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 54-71.
    5. Julian Ramajo & Miguel A. Marquez & Geoffrey J. D. Hewings, 2021. "Addressing spatial dependence in technical efficiency estimation: A Spatial DEA frontier approach," Papers 2103.14063, arXiv.org.
    6. Nicky Rogge, 2019. "Regional productivity growth in the EU since 2000: something is better than nothing," Empirical Economics, Springer, vol. 56(2), pages 423-444, February.
    7. Weili Zhang & Jibin Fu & Quan Ju, 2020. "A study on the model of economic growth convergence in developing regions: an empirical analysis from Henan Province, China," Empirical Economics, Springer, vol. 59(2), pages 547-567, August.
    8. Up Lim, 2016. "Regional income club convergence in US BEA economic areas: a spatial switching regression approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 273-294, January.
    9. Weili Zhang & Wei Xu & Xiaoye Wang, 2019. "Regional convergence clubs in China: identification and conditioning factors," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(2), pages 327-350, April.
    10. De Siano, Rita & D'Uva, Marcella, 2009. "Regional convergence in Italy: time series approaches," MPRA Paper 20397, University Library of Munich, Germany.
    11. Manfred M. Fischer & James P. LeSage, 2012. "A Bayesian approach to identifying and interpreting regional convergence clubs in Europe," ERSA conference papers ersa12p217, European Regional Science Association.
    12. Frey, Daniel & Frey, Miriam & Wieslhuber, Carmen, 2013. "Do natural resources define convergence clubs? Empirical evidence from the Kazakh regions," Economic Systems, Elsevier, vol. 37(3), pages 404-414.
    13. Marcella D'Uva & Rita De Siano, 2007. "Human capital and "club convergence" in Italian regions," Economics Bulletin, AccessEcon, vol. 18(1), pages 1-7.
    14. Up Lim, 2016. "Regional income club convergence in US BEA economic areas: a spatial switching regression approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 273-294, January.
    15. Eleonora Cutrini, 2023. "Postcrisis recovery in the regions of Europe: Does institutional quality matter?," Journal of Regional Science, Wiley Blackwell, vol. 63(1), pages 5-29, January.
    16. Julián Ramajo & Miguel A. Márquez & Geoffrey J. D. Hewings, 2024. "Addressing spatial dependence when estimating technical efficiency: A spatialized data envelopment analysis of regional productive performance in the European Union," Growth and Change, Wiley Blackwell, vol. 55(1), March.

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