Local-scale residential concentration and income inequalities of the main foreign-born population groups in the Spanish urban space. Reaffirming the model of a divided city

Benassi, Federico; Iglesias‐Pascual, Ricardo

doi:10.1080/1369183x.2022.2067137

Cited by 14 publications

(9 citation statements)

References 73 publications

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“…Despite the large increases in the immigrant population and the effects of the economic crisis, segregation levels have remained moderate for most origins. However, hidden behind this fact is a growing concentration in the poorest parts of cities (Benassi & Iglesias‐Pascual, 2022; Iglesias‐Pascual et al, 2023), and increasing vertical segregation, with a notable concentration of immigrants from low‐income countries on lower floors (Leal & Sorando, 2022). Crucial in this distribution is the housing market with its discriminatory practices, especially in renting, which have the effect of perpetuating segregation (Bosch et al, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Age, gender, and cohort in residential segregation: The case of African immigrants in Spain, 2000–2020

Gastón‐Guiu

Carrasco

2023

Population Space and Place

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The composition of the immigrant population by gender and age, and characteristics at the moment of arrival plays an influential role in the levels of residential segregation reached, and in their evolution over time. In Spain, the African immigrant population is notable for a marked gender imbalance, where men outnumber women, and for continuous growth in the number of immigrants over the past two decades. It is also one of the groups presenting the highest levels of segregation. Using data from the Continuous Population Register, this study analyses the residential segregation of this group from the triple perspective of age, period, and cohort for the six main Spanish cities. The results reveal a significant differentiation in segregation levels by sex and age, with lower rates in the more recent cohorts. This perspective offers a dynamic view of segregation indicators and enables better understanding of its future evolution.

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Section: Literature Reviewmentioning

confidence: 99%

Age, gender, and cohort in residential segregation: The case of African immigrants in Spain, 2000–2020

Gastón‐Guiu

Carrasco

2023

Population Space and Place

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“…Moreover, individual studies have addressed the residential segregation of foreign populations within specific southern European countries. It is worth mentioning the contributions by Arapoglou (2006), Arapoglou and Sayas (2009), Maloutas and Arapoglou (2016), Maloutas et al (2019) and Kandylis et al (2012) for Greece, and those by Benassi and Iglesias-Pascual (2023), Gastón-Guiu and Bayona-i-Carrasco (2023), Iglesias-Pascual (2019), López-Gay et al (2020) and Martori and Madariaga (2023) for Spain. Studies focusing on Italy are fewer than those concerning the realities of other European countries.…”

Section: Introductionmentioning

confidence: 99%

From South Asia to Southern Europe: a comparative analysis of Sri Lankans’ residential segregation in the main Italian cities using high-resolution data on regular lattice geographies

Bitonti,

Benassi,

Mazza

et al. 2023

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The present work proposes a spatial analysis of the residential segregation and settlement models of Sri Lankans in the eight main Italian municipalities. Hosting more than half of the total Sri Lankan population residing in Italy, the selected urban areas allow Sri Lankans’ residential model to be globally framed across the country. The purpose of this work is threefold. First, it provides a general assessment of the allocation pattern of a foreign community that has seldom been studied and yet is characterized by peculiar settlement choices. Second, it attempts to compare the settlement patterns of Sri Lankans across different urban contexts. Third, it aims to detect the possible spatial polarization of Sri Lankans in specific neighbourhoods and to verify its spatial correlation with other key variables that constitute proxies of urban neighbourhoods’ socioeconomic inequalities. The study runs multiple aspatial linear models to assess the global variation in concentrations of Sri Lankans related to several socioeconomic predictors. Furthermore, it implements geographically weighted regressions to explicitly model the spatial dependence between Sri Lankans’ location quotients and several predictors. It refers all the considered variables to a single geographic reference grid, enabling the homogenization of different areal unit arrangements and comparisons across space. Except for Milan and Rome, the findings suggest that Sri Lankans tend to reside in central neighbourhoods characterized by a high foreign presence and a decreased trend of Italian population. Conversely, the impact of the cost of living and the state of the built environment is heterogeneous across space, with a sort of centre-periphery duality in Southern cities and more fragmented situations in the other urban contexts. This evidence proves the relevance of local scale analysis and the need to build up urban observatories on spatial inequalities and segregation processes.

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“…In this paper, we employ the concept of the spatial diffusion process (i.e., spatial contagion) based upon the concept of the first law of geography: namely, that 'everything is related to everything else, but near things are more related than distant things' (Tobler, 1970). This law can be considered the theoretical background to all spatial diffusion process theories (Benassi and Iglesias-Pascual, 2022).…”

Section: Introductionmentioning

confidence: 99%

Neighbourhood effects and determinants of population changes in Italy: A spatial perspective

Benassi¹,

Busetta²,

Gallo³

et al. 2023

Populationyearbook

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Population trends in Italy are strongly spatially differentiated, with some munic- ipalities showing a systematic loss of population, and others showing an equally continuous demographic increase. Here, we focus our attention on the spatial dimension of population change, looking at how different socio-economic and demographic dimensions affect population changes, as well as their spatial effects. After performing a preliminary descriptive analysis of the trends of population growth and decline in Italy over the last 40 years and the relevant demographic components, we used a spatial Durbin model (SDM) to investigate the potential existence of a diffusion process and the determinants of the average annual growth rate between 2011 and 2019 at the municipal level. The spatial dimension and local heterogeneities in Italy were found to be highly relevant in the analysis of population decline. Moreover, we examined the relationship between demographic, social and economic factors and the demographic growth/decline of municipalities in the subsequent 10 years. Among the different covariates included in the model, the demographic composition of the population, the female activity rate, the youth employment rate and the presence/absence of a school proved to be strongly related to population growth and decline in Italian municipalities.

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Local-scale residential concentration and income inequalities of the main foreign-born population groups in the Spanish urban space. Reaffirming the model of a divided city

Cited by 14 publications

References 73 publications

Age, gender, and cohort in residential segregation: The case of African immigrants in Spain, 2000–2020

Age, gender, and cohort in residential segregation: The case of African immigrants in Spain, 2000–2020

From South Asia to Southern Europe: a comparative analysis of Sri Lankans’ residential segregation in the main Italian cities using high-resolution data on regular lattice geographies

Neighbourhood effects and determinants of population changes in Italy: A spatial perspective

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