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Spatial attraction in migrants' settlement patterns in the city of Catania

Author

Listed:
  • Angelo Mazza

    (Università degli Studi di Catania)

  • Antonio Punzo

    (Università degli Studi di Catania)

Abstract

Background: In broad terms, and apart from ethnic discriminatory rules enforced in some places and at some times, residential segregation may be ascribed both to economic inhomogeneities in the urban space (e.g., in the cost of rents, or in occupation opportunities) and to spatial attraction among individuals sharing the same group identity and culture. Objective: Traditional indices of spatial segregation do not distinguish between these two sources of clustering. Furthermore, they typically rely on census tracts, a scale that does not allow for fine-grained analysis. Also, the use of alternative zoning often leads to conflicting results. The aim of this paper is to measure spatial attraction among groups of foreign migrants in Catania (Italy) using individual household data. Methods: We apply a version of Ripley's K-function specially conceived for assessing spatial attraction while adjusting for the effects of spatial inhomogeneity. To avoid the risk of confounding the two sources of clustering, spatial inhomogeneity is estimated following a case-control approach. Results: Different parts of the city exhibit different suitabilities for migrants of different nationalities, with groups mainly involved in housekeeping and caregiving being more spread than the ones specialized in peddling and retailing. A significant spatial attraction has been found for Sri Lankan, Mauritians, Senegalese, and Chinese. Conversely, the settlement patterns of Tunisians and Moroccans comply with random allocation. These results seem consistent with the hypothesis of a relevant correlation between chain migration and spatial attraction.

Suggested Citation

  • Angelo Mazza & Antonio Punzo, 2016. "Spatial attraction in migrants' settlement patterns in the city of Catania," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(5), pages 117-138.
    • Handle: RePEc:dem:demres:v:35:y:2016:i:5
    DOI: 10.4054/DemRes.2016.35.5
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    References listed on IDEAS

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    Cited by:

    1. Federico Benassi & Francesca Bitonti & Angelo Mazza & Salvatore Strozza, 2023. "Sri Lankans’ residential segregation and spatial inequalities in Southern Italy: an empirical analysis using fine-scale data on regular lattice geographies," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1629-1648, April.
    2. David Consolazio & David Benassi & Antonio Giampiero Russo, 2023. "Ethnic residential segregation in the city of Milan at the interplay between social class, housing and labour market," Urban Studies, Urban Studies Journal Limited, vol. 60(10), pages 1853-1874, August.
    3. Yuting Chen & Bingyao Jia & Jing Wu & Xuejun Liu & Tianyue Luo, 2022. "Temporal and Spatial Attractiveness Characteristics of Wuhan Urban Riverside from the Perspective of Traveling," Land, MDPI, vol. 11(9), pages 1-21, August.
    4. Federico Benassi & Francesca Bitonti & Angelo Mazza & Salvatore Strozza, 2022. "Sri Lankans’ residential segregation: comparative evidence from the main Italian municipalities," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 76(2), pages 4-12, April-Jun.

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    More about this item

    Keywords

    settlement patterns; migrations; inhomogeneous Poisson process;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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