The European Commission is encouraging reflection on territorial convergence. At the core of its political agenda is the understanding of the features of the centre-periphery equilibrium and uneven development, the common challenges across regions and the territorial impact of the CAP. These issues represent the topic of the paper, referred to as 166 EU-15 regions at NUTS II level, and to the time period from 1995 to 2005. As the CAP is still strictly sectoral policy, it primarily affects agricultural growth and, through this sector, economic convergence. Thus the empirical analysis, firs, characterises the agricultural and economic conditional catching-up process and, subsequently, compares the local sectoral parameters of convergence. The role of spatial nonstationarity is detected comparing OLS and GWR estimates. Empirical findings suggest GWR as a more appropriate model specification and preferable for explanatory spatial data analysis in accordance with a territorial perspective of convergence. Results also suggest convergent clubs across neighbouring regions and the role of the technological capital accumulation process particularly in the light of a CAP that has not been able to support catching-up.

Spatial Approach to Territorial Convergence Across the EU-15 Regions and the Common Agricultural Policy

SASSI, MARIA
2009-01-01

Abstract

The European Commission is encouraging reflection on territorial convergence. At the core of its political agenda is the understanding of the features of the centre-periphery equilibrium and uneven development, the common challenges across regions and the territorial impact of the CAP. These issues represent the topic of the paper, referred to as 166 EU-15 regions at NUTS II level, and to the time period from 1995 to 2005. As the CAP is still strictly sectoral policy, it primarily affects agricultural growth and, through this sector, economic convergence. Thus the empirical analysis, firs, characterises the agricultural and economic conditional catching-up process and, subsequently, compares the local sectoral parameters of convergence. The role of spatial nonstationarity is detected comparing OLS and GWR estimates. Empirical findings suggest GWR as a more appropriate model specification and preferable for explanatory spatial data analysis in accordance with a territorial perspective of convergence. Results also suggest convergent clubs across neighbouring regions and the role of the technological capital accumulation process particularly in the light of a CAP that has not been able to support catching-up.
2009
9781608050987
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/204580
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