Stochastic multi-attribute acceptability analysis (SMAA): an application to the ranking of Italian regions
Salvatore Greco
Alessio Ishizaka
Benedetto Matarazzo
Gianpiero Torrisi
10.6084/m9.figshare.5297674.v1
https://tandf.figshare.com/articles/dataset/Stochastic_multi-attribute_acceptability_analysis_SMAA_an_application_to_the_ranking_of_Italian_regions/5297674
<p>We consider the issue of ranking regions with respect to a range of economic and social variables. Departing from the current practice of aggregating different dimensions via a composite index, usually based on an arithmetic mean, we instead use stochastic multi-attribute acceptability analysis (SMAA). SMAA considers the ‘whole space’ of weights for the considered dimensions. The methodology is applied to the ranking of Italian regions, showing that although the north–south divide is definitely wider than the one measured simply in terms of gross domestic product. There are southern regions that perform generally better than those belonging to their broad region: a kind of ‘northern regions within the southern broad region’. This result poses interesting questions about the uneven development of Italian regions.</p>
2017-08-10 15:27:26
stochastic multi-attribute acceptability analysis (SMAA)
regional development
multiple criteria ranking
composite index
multidimensional Gini indices
multidimensional polarization indices
C43
R12