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This paper uses the techniques of exploratory spatial data analysis to analyse patterns of spatial association for different indicators of economic performance, and in so doing identify and describe the spatial structure of economic performance for Great Britain. This approach enables us to identify a number of significant local regimes – clusters of areas in which income per worker differs significantly from the global average – and investigate whether these come about primarily through spatial association in occupational composition or in productivity. Our results show that the contributions of occupational composition and productivity vary significantly across local regimes. The 'winner's circle' of areas in the south and east of England benefits from both above average levels of productivity and better than average occupational composition, while the low income regime in the north of England suffers particularly from poor occupational composition.

"The volume Applied Evolutionary Economics and Economic Geography is the fourth book published by Edward Elgar on applied evolutionary economics stems from the fourth European Meeting on Applied Evolutionary Economics (EMAEE) held in Utrecht, 19-21 May, 2005. ... The present volume Applied Evolutionary Economics and Economic Geography aims to advance empirical methodologies in evolutionary economics, this time with a special emphasis on geography"-- Preface