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Beyond GDP: an analysis of the socio-economic diversity of European regions
[journal article]
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-... view more
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.... view less
Keywords
EU; economic development (on national level); regional policy; socioeconomic position; EU policy; regional difference; population development; measurement; level of education; data capture; inequality; labor market
Classification
National Economy
Area Development Planning, Regional Research
Free Keywords
spatial autocorrelation; European regions; exploratory space-time analysis; multiple factor analysis
Document language
English
Publication Year
2019
Page/Pages
29 p.
Journal
Applied Economics (2019)
DOI
https://doi.org/10.1080/00036846.2019.1646885
ISSN
1466-4283
Status
Postprint; peer reviewed