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Beyond GDP: an analysis of the socio-economic diversity of European regions
[Zeitschriftenartikel]
Abstract
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-... mehr
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.... weniger
Thesaurusschlagwörter
Arbeitsmarkt; Bevölkerungsentwicklung; Datengewinnung; Wirtschaftsentwicklung; EU-Politik; sozioökonomische Lage; Regionalpolitik; regionaler Unterschied; Bildungsniveau; Messung; Ungleichheit; EU
Klassifikation
Volkswirtschaftstheorie
Raumplanung und Regionalforschung
Freie Schlagwörter
spatial autocorrelation; European regions; exploratory space-time analysis; multiple factor analysis
Sprache Dokument
Englisch
Publikationsjahr
2019
Seitenangabe
29 S.
Zeitschriftentitel
Applied Economics (2019)
DOI
https://doi.org/10.1080/00036846.2019.1646885
ISSN
1466-4283
Status
Postprint; begutachtet (peer reviewed)