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; Salvatore Alaimo, Leonardo; De Giovanni, Livia; Massari1, Riccardo. - In: SOCIAL INDICATORS RESEARCH. - ISSN 0303-8300. - 161:(2022), pp. 599-627. [10.1007/s11205-020-02384-x]
Well-Being in the Italian Regions Over Time
Livia De Giovanni;
2022
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.File | Dimensione | Formato | |
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