Social Frontiers: Estimating the Spatial Boundaries Between Residential Groups and Their Impacts on Crime
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Social Frontiers: Estimating the Spatial Boundaries Between Residential Groups and Their Impacts on Crime
Original language description
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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
50701 - Cultural and economic geography
Result continuities
Project
<a href="/en/project/GA16-02242S" target="_blank" >GA16-02242S: Spatial patterns of crime and perception of safety in Czechia</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Urban Inequality and Segregation in Europe and China
ISBN
978-3-030-74543-1
Number of pages of the result
20
Pages from-to
285-304
Number of pages of the book
373
Publisher name
Springer
Place of publication
Cham
UT code for WoS chapter
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