Regional Disparities in Education Attainment Level in the European Union: A Spatial Approach

Chocholatá, Michaela; Furková, Andrea

doi:10.1515/bjes-2017-0012

Cited by 4 publications

(1 citation statement)

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“…Yet, other dimensions of disparities might be interesting. For instance, exploratory spatial data analysis methods were applied on educational attainment and inequality in European regions (Rodríguez-Pose & Tselios, 2011;Chocholatá & Furková, 2017;Kalogirou, 2010), on human capital in Turkish districts (Erdem, 2016) or on social capital (Fazio & Lavecchia, 2013;Botzen, 2016) and demographic ageing (Gregory & Patuelli, 2015) in European regions. More generally, the use of other measures can be rooted in the debate pertaining to income or GDP as a very incomplete and partial measure of well-being and social welfare.…”

Section: Introductionmentioning

confidence: 99%

Beyond GDP: an analysis of the socio-economic diversity of European regions

2019

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This paper aims to analyze the socioeconomic diversity of 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 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.

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