Stochastic multi-attribute acceptability analysis (SMAA): an application to the ranking of Italian regions
| Autor: | Benedetto Matarazzo, Salvatore Greco, Alessio Ishizaka, Gianpiero Torrisi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Stochastic multicriteria acceptability analysis
021103 operations research Economics 05 social sciences 0211 other engineering and technologies multidimensional Gini indices General Social Sciences regional development 02 engineering and technology embargoover12 Range (mathematics) composite index Ranking Regional development Current practice 0502 economics and business multidimensional polarization indices Econometrics stochastic multi-attribute acceptability analysis (SMAA) multiple criteria ranking 050207 economics Composite index General Environmental Science |
| Zdroj: | Greco, S, Ishizaka, A, Matarazzo, B & Torrisi, G 2018, ' Stochastic multiattribute acceptability analysis : an application to the ranking of Italian regions ', Regional Studies, vol. 52, no. 4, pp. 585-600 . https://doi.org/10.1080/00343404.2017.1347612 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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