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Voting out of the European Union:Exploring the geography of Leave

机译:退出欧盟:探索休假的地理

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摘要

On Thursday June 23rd, 2016, a majority of the UK electorate voted in favour of leaving the EU by a margin of 51.9% to 48.1%. Throughout the night, as the results were reported, the media spoke about London, Scotland and Northern Ireland versus the rest of country in regard to their support for the EU. In this commentary, I look at the geographical distribution of the share of the Leave votes and model it against the share of the electorate, by local authority and by region, using a multilevel framework. The model identifies both differences between countries and differences between regions but also more localised variations that depart from those trends. Areas with an older population were more likely to attract a higher share of the Leave vote, as were those with higher proportions of residents in lower supervisory and technical occupations and with residents born outside of the UK but in the EU. The referendum has revealed a less than United Kingdom, with notable differences between Scotland, Northern Ireland and much of London, and parts of the East Midlands, West Midlands and the East. However, London is not as pro-EU as might be anticipated given its social, ethnic and demographic composition, which may help explain why the Leave campaign won with a small margin.
机译:2016年6月23日(星期四),大多数英国选民以51.9%至48.1%的差距投票赞成离开欧盟。根据报道的结果,整夜中,媒体对伦敦,苏格兰和北爱尔兰相对于其他国家在欧盟方面的支持发表了讲话。在这篇评论中,我研究了休假票份额的地理分布,并使用一个多层次的框架,按照地方当局和地区对选民的份额进行建模。该模型既可以识别国家之间的差异,也可以识别区域之间的差异,但也可以识别偏离这些趋势的更多本地化差异。人口较高的地区更有可能获得较高的请假投票份额,居民中具有较低监管和技术职业比例的居民以及在英国境外但在欧盟以外出生的居民所占比例更高。公民投票显示,英国的情况不及英国,苏格兰,北爱尔兰和伦敦大部分地区以及东米德兰兹,西米德兰兹和东部之间存在显着差异。但是,鉴于伦敦的社会,族裔和人口组成,它并不像预期的那样亲欧盟,这可能有助于解释为什么“休假”活动获胜的可能性很小。

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