The study proposes a novel multilevel and multidimensional Gini inequality index for longitudinal data. The index provides scores (i.e., weights for inequality) for dimensions, occasions, and levels. This methodology is used to measure inequalities in well-being in the EU countries and their NUTS 2 regions, employed as nested spatial levels. A marked centre-periphery pattern emerges. Besides, different nuances of regional inequality are detected when EU regions themselves are used as a reference point.
Assessing multilevel spatial inequality in EU regions: a multidimensional approach
Cinzia Di Nuzzo;Venera Tomaselli;Gianpiero Torrisi
2025-01-01
Abstract
The study proposes a novel multilevel and multidimensional Gini inequality index for longitudinal data. The index provides scores (i.e., weights for inequality) for dimensions, occasions, and levels. This methodology is used to measure inequalities in well-being in the EU countries and their NUTS 2 regions, employed as nested spatial levels. A marked centre-periphery pattern emerges. Besides, different nuances of regional inequality are detected when EU regions themselves are used as a reference point.File in questo prodotto:
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