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个体对工业机器人采用的脆弱性增加了对极右翼的支持。

Individual vulnerability to industrial robot adoption increases support for the radical right.

机构信息

Department of Social and Political Sciences, Bocconi University, Milan 20136, Italy.

Dondena Research Center, Bocconi University, Milan 20136, Italy.

出版信息

Proc Natl Acad Sci U S A. 2021 Nov 23;118(47). doi: 10.1073/pnas.2111611118.

Abstract

The increasing success of populist and radical-right parties is one of the most remarkable developments in the politics of advanced democracies. We investigate the impact of industrial robot adoption on individual voting behavior in 13 western European countries between 1999 and 2015. We argue for the importance of the distributional consequences triggered by automation, which generates winners and losers also within a given geographic area. Analysis that exploits only cross-regional variation in the incidence of robot adoption might miss important facets of this process. In fact, patterns in individual indicators of economic distress and political dissatisfaction are masked in regional-level analysis, but can be clearly detected by exploiting individual-level variation. We argue that traditional measures of individual exposure to automation based on the current occupation of respondents are potentially contaminated by the consequences of automation itself, due to direct and indirect occupational displacement. We introduce a measure of individual exposure to automation that combines three elements: 1) estimates of occupational probabilities based on employment patterns prevailing in the preautomation historical labor market, 2) occupation-specific automatability scores, and 3) the pace of robot adoption in a given country and year. We find that individuals more exposed to automation tend to display higher support for the radical right. This result is robust to controlling for several other drivers of radical-right support identified by earlier literature: nativism, status threat, cultural traditionalism, and globalization. We also find evidence of significant interplay between automation and these other drivers.

摘要

民粹主义和激进右翼政党的日益成功是发达民主国家政治中最显著的发展之一。我们研究了 1999 年至 2015 年间 13 个西欧国家工业机器人采用对个人投票行为的影响。我们认为自动化引发的分配后果很重要,这种后果在一个特定的地理区域内也会产生赢家和输家。仅利用机器人采用的跨区域变化进行的分析可能会错过这一过程的重要方面。事实上,在区域层面的分析中,经济困境和政治不满的个人指标模式被掩盖了,但通过利用个人层面的变化可以清楚地检测到这些模式。我们认为,基于受访者当前职业的传统自动化对个人暴露程度的衡量标准可能会受到自动化本身的后果的污染,这是因为存在直接和间接的职业转移。我们引入了一种衡量个人受自动化影响程度的方法,该方法结合了三个要素:1)基于自动化前历史劳动力市场中普遍存在的就业模式的职业概率估计;2)特定职业的自动化程度评分;3)特定国家和年份的机器人采用速度。我们发现,受自动化影响较大的个人往往更倾向于支持激进右翼。这一结果在控制了早期文献中确定的激进右翼支持的其他几个驱动因素(本土主义、地位威胁、文化传统主义和全球化)后仍然成立。我们还发现了自动化与这些其他驱动因素之间存在显著相互作用的证据。

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