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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

Suggested Citation

  • Eleonora Patacchini & Patricia Rice, 2007. "Geography and Economic Performance: Exploratory Spatial Data Analysis for Great Britain," Regional Studies, Taylor & Francis Journals, vol. 41(4), pages 489-508.
  • Handle: RePEc:taf:regstd:v:41:y:2007:i:4:p:489-508
    DOI: 10.1080/00343400600928384
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    3. G Ottaviano & Diego Puga, 1997. "Agglomeration in a global Economy: A Survey," CEP Discussion Papers dp0356, Centre for Economic Performance, LSE.
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    2. Terry Gregory & Roberto Patuelli, 2015. "Demographic ageing and the polarization of regions—an exploratory space–time analysis," Environment and Planning A, , vol. 47(5), pages 1192-1210, May.
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    5. Karsten Rusche & Uwe Kies & Andreas Schulte, 2011. "Measuring spatial co-agglomeration patterns by extending ESDA techniques," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 31(1), pages 11-25, June.
    6. Du, Huibin & Matisoff, Daniel C. & Wang, Yangyang & Liu, Xi, 2016. "Understanding drivers of energy efficiency changes in China," Applied Energy, Elsevier, vol. 184(C), pages 1196-1206.
    7. Artis, Michael & Moreno, Rosina & Miguelez, Ernest, 2009. "Assessing agglomeration economies in a spatial framework with endogenous regressors," CEPR Discussion Papers 7267, C.E.P.R. Discussion Papers.
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    13. Alasdair Rae, 2009. "Isolated Entities or Integrated Neighbourhoods? An Alternative View of the Measurement of Deprivation," Urban Studies, Urban Studies Journal Limited, vol. 46(9), pages 1859-1878, August.
    14. Biswajit Mohanty & N. R. Bhanumurthy, 2018. "Regional growth policy experience in India: the spatial dimension," Asia-Pacific Journal of Regional Science, Springer, vol. 2(2), pages 479-505, August.
    15. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    16. Luca Salvati & Margherita Carlucci, 2014. "Urban Growth and Land-Use Structure in Two Mediterranean Regions," SAGE Open, , vol. 4(4), pages 21582440145, December.
    17. Di Matteo, Dante & Mariotti, Ilaria & Rossi, Federica, 2023. "Transport infrastructure and economic performance: An evaluation of the Milan-Bologna high-speed rail corridor," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    18. Vítor João Pereira Domingues Martinho, 2021. "Impact of Covid‐19 on the convergence of GDP per capita in OECD countries," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 55-72, November.
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    22. Luca Salvati & Margherita Carlucci & Giuseppe Venanzoni, 2017. "Recession, resilience, local labour markets: wealthier is better?," Letters in Spatial and Resource Sciences, Springer, vol. 10(2), pages 177-204, July.
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