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Immigration, integration and risks of social exclusion: the social policy case for disaggregated data in the Republic of Ireland

机译:移民,融合和社会排斥的风险:爱尔兰共和国分类数据的社会政策案例

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摘要

This article makes the case for improved small area data on socio-spatial segregation and social exclusion in Ireland that is comprehensively disaggregated by nationality and ethnicity. We argue that disaggregated data are crucial if the complex effects of immigration are to be understood and effective policy developed. This article examines two case studies of relatively deprived areas in Dublin that have disproportionately large immigrant populations. Our analysis of immigration and deprivation in the Dublin Inner City Partnership (DICP) and Blanchardstown Partnership areas highlights the shortcomings of currently available disaggregated data. In particular, our analysis identifies cohorts of immigrants at high risk of social exclusion that are largely invisible in segregation and deprivation scores. This article therefore makes the case for an improved evidence base, informed by reliable (and cross-tabulated) statistical data and argues that disaggregated data are crucial to targeted policy interventions.
机译:本文为改善爱尔兰的社会空间隔离和社会排斥小区域数据提供了依据,这些数据按国籍和种族进行了全面分类。我们认为,如果要了解移民的复杂影响并制定有效的政策,则分类数据至关重要。本文研究了都柏林相对贫困地区的两个案例研究,这些地区的移民人口比例过高。我们对都柏林市内城市合作组织(DICP)和布兰查德斯敦合作组织地区的移民和贫困状况的分析突显了当前可用分类数据的不足。尤其是,我们的分析确定了在社会隔离中处于高风险状态的移民人群,这些人在种族隔离和剥夺分数上基本不可见。因此,本文提供了可靠的(和交叉列表)统计数据为基础的改进的证据基础,并认为分类数据对于有针对性的政策干预至关重要。

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