Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/117378
Authors: 
Fischer, Manfred M.
Stirböck, Claudia
Year of Publication: 
2005
Series/Report no.: 
45th Congress of the European Regional Science Association: "Land Use and Water Management in a Sustainable Network Society", 23-27 August 2005, Amsterdam, The Netherlands
Abstract: 
Club-convergence analysis provides a more realistic and detailed picture about regional income growth than traditional convergence analysis. This paper presents a spatial econometric framework for club-convergence testing that relates the concept of club-convergence to the notion of spatial heterogeneity. The study provides evidence for the club-convergence hypothesis in cross-regional growth dynamics from a pan-European perspective. The conclusions are threefold. First, we reject the standard Barro-style regression model which underlies most empirical work on regional income convergence, in favour of a two regime [club] alternative in which different regional economies obey different linear regressions when grouped by means of Getis and Ord's (1992) local clustering technique. Second, the results point to a heterogeneous pattern in the pan-European convergence process. Heterogeneity appears in both the convergence rate and the steady-state level. But, third, the study also reveals that spatial error dependence introduces an important bias in our perception of the club-convergence and shows that neglection of this bias would give rise to misleading conclusions.
Document Type: 
Conference Paper

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