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Structure and dynamics of immigration in the municipalities of northwestern Italy

  • Simona Ballabio
  • Arianna Carra
  • Flavio Verrecchia
  • Alberto Vitalini

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.

  • Keywords:
  • Immigration,
  • Municipalities,
  • Spatial analysis,
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Simona Ballabio

ISTAT, Italian National Institute of Statistics, Italy

Arianna Carra

ISTAT, Italian National Institute of Statistics, Italy - ORCID: 0000-0003-4445-1017

Flavio Verrecchia

ISTAT, Italian National Institute of Statistics, Italy - ORCID: 0000-0002-6162-3696

Alberto Vitalini

ISTAT, Italian National Institute of Statistics, Italy

  1. Anselin L. (1995). Local Indicators of Spatial Association – LISA, Geographical Analysis, 27, pp. 93-115
  2. Anselin, L. (2018). Global spatial autocorrelation. GeoDa website, accessed in March 2019 https://geodacenter.github.io/workbook/5a_global_auto/lab5a.html
  3. Anselin, L., Lozano-Gracia, N., and Koschinky, J. (2006). Rate Transformations and Smoothing in Technical Report. Urbana, IL: Spatial Analysis Laboratory, Department of Geography, University of Illinois
  4. Avallone, G., Torre, S. (2016). Dalla città ostile alla città bene comune. I migranti di fronte alla crisi dell’abitare in Italia. Archivio di Studi Urbani e Regionali, 115, pp. 51-74
  5. Bergamaschi, M., Daconto, L., Montesano, M.G. (2021). Diffusione periferica e concentrazioni. La dinamica insediativa dei residenti stranieri a Bologna e Milano. Mondi Migranti, 2, pp 151-168
  6. Borruso, G., Murgante, B. (2013). Analisi dei fenomeni immigratori e tecniche di autocorrelazione spaziale. Territorio Italia, 1, pp. 27-38
  7. Brooks, M.M. (2019). The Advantages of Comparative LISA Techniques in Spatial Inequality Research: Evidence from Poverty Change in the United States, Spatial Demography, 7, pp. 167–193
  8. Costarelli, I., Mugnano, S., (2017). Un’analisi della condizione abitativa degli stranieri a Roma e Milano: micro-segregazione e periferizzazione. Fuori luogo. Rivista Sociologia del Territorio, Turismo, Tecnologia, 2, pp. 39-47
  9. EESC (2018). Without migrants, Europe's economic and social model is in danger, says the EESC. European Economic and Social Committee website, accessed in November 2022 https://www.eesc.europa.eu/en/news-media/press-releases/without-migrants-europes-econo
  10. EC (2021). 2021 Ageing Report: Ageing populations and fiscal sustainability. Presentation in European Commission (2021). European Commission website, accessed in August 2022. https://economy-finance.ec.europa.eu/system/files/2022-05/2021_ageing_report_0.p
  11. Istat (2015). La ricostruzione dei valori censuari dei comuni con variazioni territoriali nel periodo 1991-2011
  12. Istat website, accessed in June 2022. https://ottomilacensus.istat.it/
  13. Istat (2022a). Il Censimento permanente della popolazione in Liguria. Anno 2020. Istat
  14. Istat (2022b). Il Censimento permanente della popolazione in Lombardia. Anno 2020. Istat
  15. Istat (2022c). Il Censimento permanente della popolazione in Piemonte. Anno 2020. Istat
  16. Istat (2022d). Il Censimento permanente della popolazione in Valle d’Aosta. Anno 2020. Istat
  17. Istat (2022e). Rapporto annuale 2022. Istat, pp. 186-190
  18. Martin, M. J. R., Matthews, S. A., Lee, B. A. (2016). The spatial diffusion of racial and ethnic diversity across U.S. counties. Spatial Demography, 5(3), pp. 1–25
  19. Perna, R. (2015). L'immigrazione in Italia. Dinamiche e trasformazioni in tempo di crisi. Politiche sociali, 1, pp. 89-116
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  • Publication Year: 2023
  • Pages: 29-34
  • Content License: CC BY 4.0
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  • Publication Year: 2023
  • Content License: CC BY 4.0
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Chapter Information

Chapter Title

Structure and dynamics of immigration in the municipalities of northwestern Italy

Authors

Simona Ballabio, Arianna Carra, Flavio Verrecchia, Alberto Vitalini

Language

English

DOI

10.36253/979-12-215-0106-3.06

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

ASA 2022 Data-Driven Decision Making

Book Subtitle

Book of short papers

Editors

Enrico di Bella, Luigi Fabbris, Corrado Lagazio

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press, Genova University Press

DOI

10.36253/979-12-215-0106-3

eISBN (pdf)

979-12-215-0106-3

eISBN (xml)

979-12-215-0107-0

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

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