Geography and economic performance: Exploratory Spatial Data Analysis for Great Britain.
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 it identifies and describes the spatial structure of economic performance for Great Britain. This approach enables one to i...
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Format: | Journal article |
Language: | English |
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Routledge
2007
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author | Patacchini, E Rice, P |
author_facet | Patacchini, E Rice, P |
author_sort | Patacchini, E |
collection | OXFORD |
description | 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 it identifies and describes the spatial structure of economic performance for Great Britain. This approach enables one to identify a number of significant local regimes - clusters of areas in which income per worker differs significantly from the global average - and to investigate whether these come about primarily through spatial association in occupational composition or in productivity. The 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. |
first_indexed | 2024-03-07T02:13:06Z |
format | Journal article |
id | oxford-uuid:a152a195-cfe0-419b-823d-1650043041d3 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T02:13:06Z |
publishDate | 2007 |
publisher | Routledge |
record_format | dspace |
spelling | oxford-uuid:a152a195-cfe0-419b-823d-1650043041d32022-03-27T02:12:20ZGeography and economic performance: Exploratory Spatial Data Analysis for Great Britain.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a152a195-cfe0-419b-823d-1650043041d3EnglishDepartment of Economics - ePrintsRoutledge2007Patacchini, ERice, PThis 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 it identifies and describes the spatial structure of economic performance for Great Britain. This approach enables one to identify a number of significant local regimes - clusters of areas in which income per worker differs significantly from the global average - and to investigate whether these come about primarily through spatial association in occupational composition or in productivity. The 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. |
spellingShingle | Patacchini, E Rice, P Geography and economic performance: Exploratory Spatial Data Analysis for Great Britain. |
title | Geography and economic performance: Exploratory Spatial Data Analysis for Great Britain. |
title_full | Geography and economic performance: Exploratory Spatial Data Analysis for Great Britain. |
title_fullStr | Geography and economic performance: Exploratory Spatial Data Analysis for Great Britain. |
title_full_unstemmed | Geography and economic performance: Exploratory Spatial Data Analysis for Great Britain. |
title_short | Geography and economic performance: Exploratory Spatial Data Analysis for Great Britain. |
title_sort | geography and economic performance exploratory spatial data analysis for great britain |
work_keys_str_mv | AT patacchinie geographyandeconomicperformanceexploratoryspatialdataanalysisforgreatbritain AT ricep geographyandeconomicperformanceexploratoryspatialdataanalysisforgreatbritain |