种族仇恨犯罪与COVID-19:美国的多项选择研究

Yiyang Li, Xingzuo Zhou, Tianning Zhu, Xiaoyu Guo
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引用次数: 0

摘要

在2019冠状病毒病大流行期间,对经济和卫生系统的双重冲击,不确定性和不安全感加剧了美国的种族不平等,助长了对立的种族紧张局势。本研究利用美国联邦调查局(FBI)公布的仇恨犯罪数据,运用多项Logistic回归分析不同种族仇恨犯罪的边际概率。研究发现,除非洲裔美国人外,所有种族都倾向于将非洲裔美国人作为种族仇恨犯罪的受害者。本研究揭示了美国存在的种族不平等和歧视,为政策制定者和公众活动家提供了努力的证据和方向。
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Racial Hate Crime and COVID-19: A Multinomial Choice Study in the US
During the COVID-19 pandemic, a dual shock to the economy and health system, the sentiments of uncertainty and insecurity have exacerbated the racial inequalities in the United States - contributing to the rise of antagonistic racial tension. Using hate crime data published by the Federal Bureau of Investigation (FBI), this study implemented a Multinomial Logistic Regression to analyse the marginal probability of different races committing hate crimes. It is found that all races except for African Americans tend to target African Americans as victims of a racial hate crime. This study reveals the racial inequality and discrimination that existed in the United States, providing policymakers and public activists with evidence and direction to make efforts.
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