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.
D’Urso, Pierpaolo; Salvatore Alaimo, Leonardo; De Giovanni, Livia; Massari1, Riccardo. (2022). Well-Being in the Italian Regions Over Time. SOCIAL INDICATORS RESEARCH, (ISSN: 0303-8300), 161: 599-627. Doi: 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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DUrso2020_Article_Well-BeingInTheItalianRegions_SIR.pdf
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