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Geography and Economic Performance: Exploratory Spatial Data Analysis for Great Britain

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  • Eleonora Patacchini
  • Patricia Rice

Abstract

Patacchini E. and Rice P. (2007) Geography and economic performance: exploratory spatial data analysis for Great Britain, Regional Studies 41, 489-508. 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. Patacchini E. et Rice P. (2007) La geographie et la performance economique: une analyse exploratoire des donnees geographiques pour la Grande-Bretagne, Regional Studies 41, 489-508. Cet article emploie les techniques de l'analyse preparatoire des donnees geographiques afin d'analyser la structure des associations geographiques pour divers indicateurs de la performance economique et ainsi d'identifier et de presenter la structure geographique de la performance economique de la Grande-Bretagne. Cette approche permet l'identification d'un nombre de regimes locaux importants - des regroupements de zones ou le revenu par salarie differe sensiblement de la moyenne globale - et etudie si, oui ou non, cela s'explique essentiellement par l'association geographique des categories socioprofessionnelles ou de la productivite. Les resultats laissent voir que les contributions respectives des categories socioprofessionnelles et de la productivite varient sensiblement a travers les regimes locaux. La 'couronne de lauriers', a savoir les zones situees dans le sud et dans l'est de l'Angleterre, profite a la fois des niveaux de productivite et des categories socioprofessionnelles qui depassent la moyenne, tandis que les revenus modestes du nord de l'Angleterre s'expliquent avant tout par la faiblesse de la structure des categories socioprofessionnelles. Ecarts regionaux Revenu par salarie Productivite Categories socioprofessionnelles Autocorrelation geographique Patacchini E. und Rice P. (2007) Geografie und Wirtschaftsleistung: explorative raumliche Datenanalyse fur Grossbritannien, Regional Studies 41, 489-508. In diesem Beitrag werden die Techniken einer explorativen raumlichen Datenanalyse zur Analyse von Mustern der raumlichen Assoziation fur verschiedene Indikatoren der Wirtschaftsleistung eingesetzt, um die raumliche Struktur der Wirtschaftsleistung in Grossbritannien zu identifizieren und zu beschreiben. Durch diesen Ansatz wird die Identifizierung von verschiedenen signifikanten lokalen Regimes moglich - also von Gebietsclustern, in denen das Einkommen pro Arbeitnehmer signifikant vom globalen Durchschnitt abweicht -, und es lasst sich untersuchen, ob diese Cluster in erster Linie durch eine raumliche Assoziation der Berufsstruktur oder der Produktivitat zustande kommen. Aus unseren Ergebnissen geht hervor, dass die Beitrage der Berufsstruktur und der Produktivitat je nach lokalem Regime signifikant schwanken. Der 'Siegerkreis' der Gebiete im Suden und Osten Englands profitiert von einem uberdurchschnittlichen Niveau an Produktivitat und Berufsstruktur, wahrend das einkommensschwache Regime in Nordengland vor allem unter einer mangelhaften Berufsstruktur leidet. Regionale Disparitaten Einkommen pro Arbeitnehmer Produktivitat Berufsstruktur Raumliche Autokorrelation Patacchini E. y Rice P. (2007) Geografia y rendimiento economico: Analisis exploratorio de datos espaciales para Gran Bretana, Regional Studies 41, 489-508. En este ensayo utilizamos las tecnicas de los analisis exploratorios de datos espaciales para analizar los patrones de la asociacion espacial para diferentes indicadores del rendimiento economico y de este modo identificar y describir la estructura espacial del rendimiento economico para Gran Bretana. Este enfoque nos permite identificar una serie de regimenes locales importantes, es decir, agrupaciones de areas en las que el ingreso por trabajador difiere en gran medida de la media global, e investigamos si ocurren principalmente a traves de la asociacion espacial en la composicion laboral o en la productividad. Nuestros resultados muestran que las contribuciones de la composicion laboral y la productividad varian significativamente en los regimenes locales. El 'circulo ganador' de las areas en el sur y el este de Inglaterra se beneficia de un nivel por encima de la media tanto en el ambito de la productividad como en el de la composicion laboral, mientras que el regimen de ingresos bajos en el norte de Inglaterra adolece especialmente de una mala composicion laboral. Desequilibrios regionales Ingresos por trabajador Productividad Composicion laboral Autocorrelacion espacial

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Regional Studies.

Volume (Year): 41 (2007)
Issue (Month): 4 ()
Pages: 489-508

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Handle: RePEc:taf:regstd:v:41:y:2007:i:4:p:489-508

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Keywords: Regional disparities; Income per worker; Productivity; Occupational composition; Spatial autocorrelation;

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References

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  1. Ottaviano, Gianmarco Ireo Paolo & Puga, Diego, 1997. "Agglomeration in the Global Economy: A Survey of the 'New Economic Geography'," CEPR Discussion Papers 1699, C.E.P.R. Discussion Papers.
  2. Bernard Fingleton, 2003. "Increasing returns: evidence from local wage rates in Great Britain," Oxford Economic Papers, Oxford University Press, vol. 55(4), pages 716-739, October.
  3. Mark Roberts, 2004. "The Growth Performances of the GB Counties: Some New Empirical Evidence for 1977-1993," Regional Studies, Taylor & Francis Journals, vol. 38(2), pages 149-165.
  4. LE GALLO, Julie & ERTUR, Cem, 2000. "Exploratory spatial data analysis of the distribution of regional per capita GDP in Europe, 1980-1995," LATEC - Document de travail - Economie (1991-2003) 2000-09, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
  5. Patricia Rice & Tony Venables, 2004. "Spatial determinants of productivity: analysis for the regions of Great Britain," LSE Research Online Documents on Economics 2040, London School of Economics and Political Science, LSE Library.
  6. Bernard Fingleton, 2001. "Equilibrium and Economic Growth: Spatial Econometric Models and Simulations," Journal of Regional Science, Wiley Blackwell, vol. 41(1), pages 117-147.
  7. Sergio Rey & Brett Montouri, 1999. "US Regional Income Convergence: A Spatial Econometric Perspective," Regional Studies, Taylor & Francis Journals, vol. 33(2), pages 143-156.
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Cited by:
  1. Jonathan Jones & Colin Wren, 2008. "FDI location across British regions and inward investment policy," LSE Research Online Documents on Economics 33204, London School of Economics and Political Science, LSE Library.
  2. Rusche, Karsten, 2008. "Quality of life in the regions: An exploratory spatial data analysis for West German labor markets," CAWM Discussion Papers 10, Center of Applied Economic Research Münster (CAWM), University of Münster.
  3. Vassilis Monastiriotis, 2009. "Examining the consistency of spatial association patterns across socio-economic indicators: an application to the Greek regions," Empirical Economics, Springer, vol. 37(1), pages 25-49, September.
  4. Michael J. Artis & Ernest Miguélez & Rosina Morenos, 2011. "Assessing agglomeration economies in a spatial framework with endogenous regressors," IREA Working Papers 201112, University of Barcelona, Research Institute of Applied Economics, revised Jul 2011.
  5. T. Gregory & R. Patuelli, 2013. "Regional Age Structure, Human Capital and Innovation - Is Demographic Ageing Increasing Regional Disparities?," Working Papers wp900, Dipartimento Scienze Economiche, Universita' di Bologna.
  6. Jonathan Jones & Colin Wren, 2008. "FDI Location Across British Regions and Inward Investment Policy," SERC Discussion Papers 0013, Spatial Economics Research Centre, LSE.
  7. Karsten Rusche & Uwe Kies & Andreas Schulte, 2011. "Measuring spatial co-agglomeration patterns by extending ESDA techniques," Jahrbuch für Regionalwissenschaft, Springer, vol. 31(1), pages 11-25, June.
  8. Eleonora Patacchini, 2008. "Local analysis of economic disparities in Italy: a spatial statistics approach," Statistical Methods and Applications, Springer, vol. 17(1), pages 85-112, February.
  9. Vickerman, Roger, 2008. "Transit investment and economic development," Research in Transportation Economics, Elsevier, vol. 23(1), pages 107-115, January.
  10. Michael Artis & Declan Curran & Marianne Sensier, 2011. "Investigating Agglomeration Economies in a Panel of European Cities and Regions," SERC Discussion Papers 0078, Spatial Economics Research Centre, LSE.

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