Comparing Residential Segregation of Migrant Populations in Selected European Urban and Metropolitan Areas

Benassi, Federico; Bonifazi, Corrado; Heins, Frank; Lipizzi, Fabio; Strozza, Salvatore

doi:10.1007/s40980-020-00064-5

Cited by 29 publications

(30 citation statements)

References 43 publications

(38 reference statements)

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“…Therefore, we further assume that rising case numbers in a county increase the perception of financial risks as well. Since ethnic minorities tend to cluster in some counties more than in others (Benassi et al 2020), this could explain ethnic differences in the impact of the COVID-19 pandemic on perceived health and financial risks.…”

Section: Experiential Factorsmentioning

confidence: 99%

The impact of the COVID-19 pandemic on risk perceptions: differences between ethnic groups in Germany

2020

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Since the start of the COVID-19 pandemic, people perceive their health and finances to be at greater risk than before. Using data from CILS4COVID, an add-on study to the German long-term project CILS4EU-DE, surveying young adults aged 24-26, we show that these risk perceptions are prevalent in populations with a former Yugoslavian, Turkish, and Asian background, although we find only few differences between the German majority and the ethnic minority groups overall. Contrary to expectations, we were not able to fully explain these systematic differences with sociodemographic, experiential and sociocultural factors. Nevertheless, our analysis provides important insights into mechanisms underlying the increased perception of risk during the pandemic irrespective of respondents' ethnic origin.

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Section: Experiential Factorsmentioning

confidence: 99%

The impact of the COVID-19 pandemic on risk perceptions: differences between ethnic groups in Germany

2020

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“…More generally, population grids link easily with grid cell data on physical attributes, for example relating to pollution. Population grids also represent opportunities for more meaningful comparisons between countries than where data zones are irregular in their sizes and shapes (e.g., wards or census tracts), and it can be argued that only regular zones (whether grids, hexagons, or any other form of tessellation) are appropriate for inter-country spatial comparisons (e.g., see Benassi et al 2020). However, of course, there are issues of comparability between countries in their measurement of ethnic identity (Mateos 2014).…”

Section: Discussionmentioning

confidence: 99%

“…A recent novel development is the creation of a dataset on the population with migrant backgrounds in EU member states, for 100 m grid cells (Alessandrini et al 2017). These data have been used to compare the residential segregation of migrant populations in multiple urban areas across Europe (Benassi et al 2020), and to explore multi-scale segregation in Paris (Olteanu et al 2020). Other studies using gridded data to explore ethnicity include Wong et al (1999), who allocate standard zones to grids based on the zone centroids in an analysis of segregation in US cities.…”

Section: Population Gridsmentioning

confidence: 99%

Population Grids for Analysing Long-Term Change in Ethnic Diversity and Segregation

Catney

Lloyd

2020

Spat Demogr

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Changes in the spatial patterns of ethnic diversity and residential segregation are often highly localized, but inconsistencies in geographical data units across different time points limit their exploration. In this paper, we argue that, while they are often over-looked, population grids provide an effective means for the study of long-term fine-scale changes. Gridded data represent population structures: there are gaps where there are no people, and they are not (unlike standard zones) based on population distributions at any one time point. This paper uses an innovative resource, PopChange, which provides spatially fine-grained (1 km by 1 km) gridded data on country of birth (1971–2011) and ethnic group (1991–2011). These data enable insight into micro-level change across a long time period. Exploring forty years of change over five time points, measures of residential ethnic diversity and segregation are employed here to create a comprehensive ‘atlas’ of ethnic neighbourhood change across the whole of Britain. Four key messages are offered: (1) as Britain’s ethnic diversity has grown, the spatial complexity of this diversity has also increased, with greater diversity in previously less diverse spaces; (2) ethnic residential segregation has steadily declined at this micro-scale; (3) as neighbourhoods have become more diverse, they have become more spatially integrated; (4) across the whole study period, the most dynamic period of change was between 2001 and 2011. While concentrating on Britain as a case study, the paper explores the potential offered by gridded data, and the methods proposed to analyse them, for future allied studies within and outside this study area.

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“…For instance, local fertility in some districts, such as Western and Southern Athens, was less coherent with the general trend observed in other Greater Athens districts. This pattern is poorly explained with the different socioeconomic composition of neighborhoods (more affluent in Southern Athens and relatively more disadvantaged in Western Athens) and requires a deeper analysis of the intimate sources of local heterogeneity in fertility behaviors at both local and metropolitan levels [127]. At the same time, a refined investigation of social forces and economic mechanisms that underlie the differential fertility of peri-urban industrial areas and residential non-industrial suburban districts is needed in a changing metropolitan context, such as Athens.…”

Section: Discussionmentioning

confidence: 99%

“…Second, the time interval under investigation in this study , and especially the 1990s and the 2000s, coincided with a significant influx of foreign, non-European immigrants to Greece. It was rather well-documented how fertility among non-European immigrants tends to be higher than that in the local native populations in the host countries [126][127][128]. The differential role of non-Western immigrants in fertility recovery before 2008 and the consequent reduction in the following years should be more clearly addressed using micro-data from administrative registers and population censuses [129].…”

Section: Discussionmentioning

confidence: 99%

Recession, Local Fertility, and Urban Sustainability: Results of a Quasi-Experiment in Greece, 1991–2018

Hälbac-Cotoară-Zamfir

Egidi

Salvia

et al. 2021

Sustainability

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Fertility is a spatially non-stationary property of regional demographic systems. Despite the wealth of quantitative (micro–macro) information delineating short-term population dynamics in advanced economies, the contribution of economic downturns to local fertility has still been under-investigated along urban–rural gradients, especially in low-fertility contexts. Recent studies have assumed suburban fertility rates as systematically higher than urban and rural fertility rates. This assumption (hereafter known as the “suburban fertility hypothesis”) has been grounded on stylized facts and spatial regularities in advanced economies that reflect a significant role of both macro (contextual) and micro (behavioral) factors that positively influence fertility in suburban locations. To test the suburban fertility hypothesis at the macro-scale, the present study compares gross fertility rates from seven regional units of the Athens metropolitan area between 1991 and 2018. A refined spatial analysis of gross fertility rates during an economic expansion (1999–2008) and recession (2009–2018) was carried out in 115 urban, suburban, and rural municipalities of the same area. Experiencing sequential waves of economic expansion and recession, Athens’ socio-demographic dynamics were considered a sort of “quasi-experiment” for Southern Europe, linking late suburbanization with the multiple impacts of (rapid) economic downturns. Compared with both urban and rural locations, a higher fertility rate in suburban municipalities (15–20 km away from downtown Athens) was observed during the study period. However, a subtle distinction was observed during the economic expansion versus the recession. In the first period, the highest birth rates were recorded in industrial locations west of Athens, hosting economically disadvantaged communities with a relatively young population structure. With the recession, the highest fertility was associated with residential and service-specialized (wealthier) locations east of Athens, attracting resident population from neighboring areas, and better responding to crisis. The results of our study document how recent urban expansion and economic downturns have intrinsically shaped fertility dynamics, with implications for urban sustainability and social cohesion of metropolitan regions.

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Comparing Residential Segregation of Migrant Populations in Selected European Urban and Metropolitan Areas

Cited by 29 publications

References 43 publications

The impact of the COVID-19 pandemic on risk perceptions: differences between ethnic groups in Germany

The impact of the COVID-19 pandemic on risk perceptions: differences between ethnic groups in Germany

Population Grids for Analysing Long-Term Change in Ethnic Diversity and Segregation

Recession, Local Fertility, and Urban Sustainability: Results of a Quasi-Experiment in Greece, 1991–2018

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