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引用次数: 0
摘要
自2016年公投以来,公众对英国脱欧的支持率有所下降。我们认为,这种下降的部分原因是群体更替,即许多年长的选民(支持英国脱欧)已经去世,而年轻的选民(反对英国脱欧)已经加入选民行列。利用YouGov在2016年、2018年、2020年和2022年对英国选民进行的一系列原始调查,我们首先展示了年轻选民和年长选民在脱欧支持方面的巨大而稳定的差异。接下来,我们采用人口分解计算来估计,在短短6年内,英国脱欧总支持率下降的原因中,仅队列替换就占了大约三分之一(其中三分之二的下降可以用队列内部变化来解释)。此外,通过将英国脱欧支持度的数据与英国国家统计局(Office for National Statistics)到2030年的队列预测相结合,我们得出了可检验的假设,即在未来十年,在各种可能的情况下,队列更替将继续给英国脱欧支持度带来压力。总之,我们的研究表明,在英国脱欧后的世界里,世代更替在塑造英国(和欧洲)政治方面发挥了强大的作用。
Brextinction? How cohort replacement has transformed support for Brexit
Public support for Brexit has declined since the 2016 referendum. We argue that part of this decline is due to cohort replacement where many older voters (who support Brexit) have passed away, while younger voters (who oppose Brexit) have entered the electorate. Using a series of original YouGov surveys from 2016, 2018, 2020 and 2022, each representative of the UK electorate, we first demonstrate the large and stable differences in Brexit support between younger and older voters. Next, we employ demographic decomposition calculations to estimate that cohort replacement alone accounts for approximately one third of the decline in aggregate Brexit support in just 6 years (with two thirds of the decline being explained by within-cohort changes). Furthermore, by combining our data on Brexit support with Office for National Statistics cohort projections up to 2030, we derive testable hypotheses about the pressure that cohort replacement will continue to put on Brexit support over the next decade across a wide range of potential scenarios. Altogether, our study demonstrates the powerful role that cohort replacement plays in shaping British (and European) politics in the post-Brexit world.
期刊介绍:
European Journal of Political Research specialises in articles articulating theoretical and comparative perspectives in political science, and welcomes both quantitative and qualitative approaches. EJPR also publishes short research notes outlining ongoing research in more specific areas of research. The Journal includes the Political Data Yearbook, published as a double issue at the end of each volume.