6533b823fe1ef96bd127f773
RESEARCH PRODUCT
Beyond GDP: an analysis of the socio-economic diversity of European regions
Julie Le GalloAndrés ValloneKassoum Ayoubasubject
VolkswirtschaftstheorieinequalityEconomics[SDV]Life Sciences [q-bio]UngleichheitRaumplanung und RegionalforschungEconomicsEconomic geographysozioökonomische Lage050207 economicsddc:710media_commoneconomic development (on national level)Städtebau Raumplanung Landschaftsgestaltung050208 finance05 social sciencesArea Development Planning Regional Research109001. No povertyWirtschaftsocioeconomic positionRegionalpolitik[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SDV] Life Sciences [q-bio]Multiple factor analysis8. Economic growthExploratory space-time analysisBildungsniveauregional policySpatial autocorrelationNational EconomyEconomics and Econometricsmedia_common.quotation_subjectEuropean regionsArbeitsmarktWirtschaftsentwicklunglevel of education0502 economics and businessMultiple factor analysisddc:330media_common.cataloged_instanceMessungEuropean unionDatengewinnungBeyond gdpSpatial analysisSocioeconomic statusspatial autocorrelation; European regions; exploratory space-time analysis; multiple factor analysisLandscaping and area planningBevölkerungsentwicklungPerspective (graphical)EU policypopulation developmentregional differencedata captureregionaler UnterschiedEU-Politikmeasurementlabor marketEUDiversity (politics)description
International audience; This paper aims to analyze the socioeconomic diversity of the European Union (EU-28) regions from a dynamic perspective. For that purpose, we combine a series of exploratory space-time analysis approaches to multiple Factor Analysis (MFA) applied to a large range of indicators collected at the NUTS-2 level for the period 2000–2015 for the EU-28. First, we find that the first factor of MFA, interpreted as economic development (ECO-DEV), is spatially clustered and that a moderate convergence process is at work between European regions from 2000 to 2015. Second, when comparing these results with those obtained for Gross Domestic Product (GDP) per capita, we show that the convergence pattern detected with GDP per capita is more pronounced: ECO-DEV adjusts slower over time compared to GDP per capita. Third, pictures provided by the remaining interesting factors, capturing educational attainment, population dynamics and employment, are very different.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-08-27 | Applied Economics |