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Regional Disparities and Public Policies in Italy: Some Considerations in Light of a Performance Analysis

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  • Giorgio Fazio
  • Davide Piacentino
  • Erasmo Vassallo

Abstract

Since the beginning of the 1990s, the Italian Government has attempted to implement a new generation of policies aimed at reducing regional disparities. It is claimed that compared to the past, these policies should be more far reaching since they emphasize the importance of the structural economic conditions in promoting growth and convergence. In this paper, we use a dataset of regional social and economic indicators in order to look at the evidence surrounding the outcome of these policies. A frontier approach seems to be suitable for the purpose of this research, as it yields a ranking of performance scores where regions can be compared in cross-sectional and a temporal dimension. Additionally to the traditional measures of economic development such as GDP per capita, we also run the analysis on competitiveness and entrepreneurship measures. Early results seem to provide interesting evidence with respect to the regional features of the development policies.

Suggested Citation

  • Giorgio Fazio & Davide Piacentino & Erasmo Vassallo, 2006. "Regional Disparities and Public Policies in Italy: Some Considerations in Light of a Performance Analysis," ERSA conference papers ersa06p439, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa06p439
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    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    3. Forsund, Finn R. & Sarafoglou, Nikias, 2005. "The tale of two research communities: The diffusion of research on productive efficiency," International Journal of Production Economics, Elsevier, vol. 98(1), pages 17-40, October.
    4. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    5. Rodriguez-Pose, Andres, 1998. "Dynamics of Regional Growth in Europe: Social and Political Factors," OUP Catalogue, Oxford University Press, number 9780198233831.
    6. Ron Martin & Peter Sunley, 1998. "Slow Convergence? The New Endogenous Growth Theory and Regional Development," Economic Geography, Taylor & Francis Journals, vol. 74(3), pages 201-227, July.
    7. Patrizia Margani & Roberto Ricciuti, 2001. "Further Evidence on Convergence across Italian Regions," ERSA conference papers ersa01p104, European Regional Science Association.
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