A spatial approach to EU regional economic convergence: a comparison between parametric and non-parametric analysis.

Konferenzbeitrag

The economic convergence among European regions over the period 1980-2006 is analysed in the first place by using a conditional β-convergence model and a distance-based weight matrix and secondarily by a spatially-conditioned stochastic kernel approach. A Spatial Autoregressive model which identifies two spatial regimes and spatial dependence finds that the convergence process is affected by polarization into two clusters defined both on a geographical and economic criterion, which converge at different rates towards different steady states. A similar result is then reached through a non-parametric analysis of the income distribution dynamics. These results confirm the hypothesis that a methodology which uses spatial econometric techniques is needed. They also suggest some implications for EU Regional Policy that should be taken into account.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: 51st Congress of the European Regional Science Association: "New Challenges for European Regions and Urban Areas in a Globalised World", 30 August - 3 September 2011, Barcelona, Spain

Classification and Topics

• Classification: Wirtschaft

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Brasili, Cristina ; Bruno, Francesca ; Saguatti, Annachiara
• Event: Veröffentlichung
• (who): European Regional Science Association (ERSA)
• (where): Louvain-la-Neuve
• (when): 2011

Further information

• Handle: http://hdl.handle.net/10419/120228
• Last update: 10.03.0057, 11:42 AM CET