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            Chapter Structure and dynamics of immigration in the municipalities of northwestern Italy

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            Author(s)
            Ballabio, Simona
            Vitalini, Alberto
            CARRA`, Arianna Dorotea
            Verrecchia, Flavio
            Language
            English
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            Abstract
            The variability of the characteristics of immigration at different territorial levels is an important key to interpreting social phenomena. This paper deals with immigration in the municipalities of the Northwest of the country. In the analysis, the databases of official statistics are considered. In particular, foreign population incidences based on ISTAT data in the last decades are used. The approach is a mix of complementary techniques of spatial analysis, known in the literature: the Univariate local Moran's Index, the Differential local Moran's Index and the LISA Cluster Transitions technique. The combined use of these tools allows both the representation of immigration structure at the municipal level and the analysis of its spatial dynamics. The results, determined by the complementarity of different methods of spatial analysis, allow to identify clusters of municipalities and to understand both differences and the dynamics of migration. The proposed analysis might be considered as a useful reference for the development of public policies at the local level.
            Book
            ASA 2022 Data-Driven Decision Making
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/168657
            Keywords
            Immigration; Municipalities; Spatial analysis; thema EDItEUR::J Society and Social Sciences
            DOI
            10.36253/979-12-215-0106-3.06
            ISBN
            9791221501063
            Publication date and place
            Florence, 2023
            Series
            Proceedings e report,
            Pages
            6
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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