In this paper, we define clusters of homogeneous Italian regions with respect to the evolution over time of well-being. In particular, we identify three partitions of the Italian regions based on the yearly time series of the economic, social and environmental dimensions of the BES (equitable and sustainable well-being), in the period 2010–2016. The partitions are obtained using a Dynamic Time Warping-based Fuzzy C-Medoids clustering model for multivariate time series. The results show a territorial gap between northern and southern regions with respect to the economic, social and environmental dimensions. The central regions have a diversified behavior with respect to the different dimensions.

Well‑Being in the Italian Regions Over Time / D'Urso, Pierpaolo; Alaimo, LEONARDO SALVATORE; DE GIOVANNI, Livia; Massari, Riccardo. - In: SOCIAL INDICATORS RESEARCH. - ISSN 1573-0921. - (2020), pp. 1-29. [10.1007/s11205-020-02384-x]

Well‑Being in the Italian Regions Over Time

Pierpaolo D'Urso;Leonardo Alaimo;Livia de Giovanni;Riccardo Massari
2020

Abstract

In this paper, we define clusters of homogeneous Italian regions with respect to the evolution over time of well-being. In particular, we identify three partitions of the Italian regions based on the yearly time series of the economic, social and environmental dimensions of the BES (equitable and sustainable well-being), in the period 2010–2016. The partitions are obtained using a Dynamic Time Warping-based Fuzzy C-Medoids clustering model for multivariate time series. The results show a territorial gap between northern and southern regions with respect to the economic, social and environmental dimensions. The central regions have a diversified behavior with respect to the different dimensions.
2020
Well-being · Italian regions · Dynamic time warping · Fuzzy C-medoids model with exponential transformation
01 Pubblicazione su rivista::01a Articolo in rivista
Well‑Being in the Italian Regions Over Time / D'Urso, Pierpaolo; Alaimo, LEONARDO SALVATORE; DE GIOVANNI, Livia; Massari, Riccardo. - In: SOCIAL INDICATORS RESEARCH. - ISSN 1573-0921. - (2020), pp. 1-29. [10.1007/s11205-020-02384-x]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1436263
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