Social Frontiers: Estimating the Spatial Boundaries Between Residential Groups and Their Impacts on Crime

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F21%3A10437925" target="_blank" >RIV/00216208:11310/21:10437925 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/978-3-030-74544-8_13" target="_blank" >https://doi.org/10.1007/978-3-030-74544-8_13</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-74544-8_13" target="_blank" >10.1007/978-3-030-74544-8_13</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Social Frontiers: Estimating the Spatial Boundaries Between Residential Groups and Their Impacts on Crime

Popis výsledku v původním jazyce

In this chapter, we highlight the importance of social frontiers-sharp spatial divisions in the residential make-up of adjacent communities-as a potentially important form of segregation. The handful of studies estimating the impacts of social frontiers have been based in the USA and the UK, both of which are free-market democracies with a long history of immigration, ethnic mix and segregation. There are currently no studies of social frontiers in former socialist countries, for example, or in countries where immigration and ethnic mix are only a recent phenomenon or non-existent. This chapter aims to address this research gap by estimating the impacts of social frontiers on crime rates in a post-socialist country, Czechia. We demonstrate how a Bayesian spatial conditional autoregressive estimation can be used to detect social frontiers in this setting, and we use a fixed effect quasi-Poisson model to investigate the impact on crime. Our results suggest that in new immigration destinations, social frontiers may not be associated with higher rates of crime, at least in the short run. Moreover, our use of cultural distance measures helps to promote a more nuanced approach to studying the impact of segregation and highlights the role of cultural diversity in understanding the link between immigrant segregation and crime. We reflect on how this approach could contribute to the study of segregation and inequality in the Chinese context.

Název v anglickém jazyce

Social Frontiers: Estimating the Spatial Boundaries Between Residential Groups and Their Impacts on Crime

Popis výsledku anglicky

In this chapter, we highlight the importance of social frontiers-sharp spatial divisions in the residential make-up of adjacent communities-as a potentially important form of segregation. The handful of studies estimating the impacts of social frontiers have been based in the USA and the UK, both of which are free-market democracies with a long history of immigration, ethnic mix and segregation. There are currently no studies of social frontiers in former socialist countries, for example, or in countries where immigration and ethnic mix are only a recent phenomenon or non-existent. This chapter aims to address this research gap by estimating the impacts of social frontiers on crime rates in a post-socialist country, Czechia. We demonstrate how a Bayesian spatial conditional autoregressive estimation can be used to detect social frontiers in this setting, and we use a fixed effect quasi-Poisson model to investigate the impact on crime. Our results suggest that in new immigration destinations, social frontiers may not be associated with higher rates of crime, at least in the short run. Moreover, our use of cultural distance measures helps to promote a more nuanced approach to studying the impact of segregation and highlights the role of cultural diversity in understanding the link between immigrant segregation and crime. We reflect on how this approach could contribute to the study of segregation and inequality in the Chinese context.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

50701 - Cultural and economic geography

Projekt

<a href="/cs/project/GA16-02242S" target="_blank" >GA16-02242S: Prostorové vzorce kriminality a percepce bezpečí v Česku</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Urban Inequality and Segregation in Europe and China

ISBN

978-3-030-74543-1

Počet stran výsledku

20

Strana od-do

285-304

Počet stran knihy

373

Název nakladatele

Springer

Místo vydání

Cham

Kód UT WoS kapitoly

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