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人口结构变化与2016年总统选举。

Demographic change and the 2016 presidential election.

作者信息

Maggio Christopher

机构信息

The Graduate Center, City University of New York 365, 5th Avenue, NY, NY, 10018, United States.

出版信息

Soc Sci Res. 2021 Mar;95:102459. doi: 10.1016/j.ssresearch.2020.102459. Epub 2020 Aug 14.

Abstract

The election of Donald Trump raised many questions about the impact of immigration on American politics. This article asks whether backlash to demographic change in counties undergoing rapid growth in foreign-born, Hispanic, and/or Asian populations may have played a role in his election. I use techniques accounting for selection into treatment to examine the relationship between demographic changes at the county level and voting patterns in the 2016 presidential election. Analyzing individual-level survey data and controlling for voting patterns in 2012, I find that people living in counties with a rapid percentage point increase in the Hispanic population since 2000 were more likely to vote for Trump in the general and primary elections. For non-Hispanic Whites in the general election, Hispanic growth is predictive of Trump voting among those with lower levels of education and higher family incomes, as well as those living in counties with smaller Hispanic populations in 2000 ("new destinations"). There is also evidence of backlash to Hispanic growth among Asian voters. When analyzing county-level election results, I again find an uptick in Trump voting in high Hispanic growth counties for the general election, but these results do not replicate for the swing states, or for the primaries. This provides reason to be cautious about claims that backlash against local demographic trends "won" Trump the election, though data limitations prevent me from analyzing all key locations individually. Regardless, this study provides clear evidence of an impact of local demographic change on contemporary U.S. politics.

摘要

唐纳德·特朗普的当选引发了许多关于移民对美国政治影响的问题。本文探讨了在外国出生人口、西班牙裔和/或亚裔人口迅速增长的县,对人口结构变化的强烈反应是否在他的当选过程中起到了作用。我运用考虑选择进入处理因素的技术,来研究县级人口结构变化与2016年总统选举投票模式之间的关系。通过分析个人层面的调查数据并控制2012年的投票模式,我发现自2000年以来西班牙裔人口百分比快速上升的县的居民,在大选和初选中更有可能投票给特朗普。在大选中,对于非西班牙裔白人来说,西班牙裔人口增长预示着受教育程度较低、家庭收入较高的人群以及2000年西班牙裔人口较少的县(“新目的地”)的居民会投票给特朗普。在亚裔选民中也有对西班牙裔人口增长产生强烈反应的证据。在分析县级选举结果时,我再次发现西班牙裔人口增长迅速的县在大选中特朗普的得票率有所上升,但这些结果在摇摆州或初选中并未重现。尽管数据限制使我无法逐个分析所有关键地区,但这让我们在声称对当地人口趋势的强烈反应“赢得”了特朗普的选举这一说法上保持谨慎。无论如何,这项研究提供了明确证据,证明当地人口结构变化对当代美国政治产生了影响。

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