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作者

Tian Lan;Jens Kandt;Paul Longley

来源

URBAN GEOGRAPHY,Vol.41,Issue1,P.103-123

语言

英文

关键字

Ethnic segreg ation,Consumer Registers (CR),social integration,spatial analysis

作者单位

Department of Geography, University College London, London, UK

摘要

The barriers to social integration posed by ethnic residential segregation are currently receiving renewed attention in Great Britain. A common characteristic of past studies of ethnic segregation in Britain is reliance upon aggregated Census data, raising potential issues of ecological fallacy. In this study, we address this challenge by using novel individual-level Consumer Register data for the UK to calculate an entropy-based spatial segregation index. We measure changes in segregation over twenty years and examine the impact of geographic scales upon observed levels of segregation in five policy relevant case study areas. Our results and findings can be used to improve the evidence base on segregation dynamics in the United Kingdom and have methodological implications for the future study of the phenomenon.KEYWORDS: Ethnic segreg ationConsumer Registers (CR)social integrationspatial analysisAcknowledgmentsThis research was funded by the Engineering and Physical Sciences Research Council UK Regions Digital Research Facility grant (EP/M023583/1), the Economic and Social Research Council Consumer Data Research Centre grant (ES/L011840/1), and the Economic and Social Research Council grant ‘The Analysis of Names from the 2011 Census of Population’ (ES/L013800/1). The authors would like to thank CACI Ltd and DataTalk Research Ltd for providing the Consumer Register and Electoral Roll data under a special research licence to enable us to carry out this research.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported by the Economic and Social Research Council [ES/L011840/1];Economic and Social Research Council [ES/L013800/1];Engineering and Physical Sciences Research Council [EP/M023583/1].