在人口乐观主义和悲观主义之间?

IF 1.6 3区 社会学 Q2 ETHNIC STUDIES Du Bois Review-Social Science Research on Race Pub Date : 2022-03-18 DOI:10.1017/S1742058X2200008X
E. McConnell, Michael Rodríguez-Muñiz
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引用次数: 0

摘要

摘要美国人口普查局预计,到2060年,拉丁裔、非裔、亚裔和其他“少数族裔”群体将共同构成美国人口的大多数。过去的研究发现,非西班牙裔白人(以下简称白人)认为这种预测令人不安或具有威胁性。然而,最近的调查显示,当给出的选择不止是二元的好/坏时,大多数白人会选择中间点回应,即这一发展“对国家既不好也不坏”。我们如何解释对预计的种族-种族人口未来的这种看似模糊的评估?本文使用2015年至2018年间收集的八波具有全国代表性的美国调查数据,开始揭示白人中“两者都不是”的反应,探讨这可能意味着什么,以及与之相关的因素,相对于看似乐观和悲观的立场。多元逻辑回归分析和其他描述性分析表明,在这种情况下,“既不好也不坏”是一种实质性的反应:白人“邻居”在社会人口学和态度上与他们的同龄人不同。我们的研究证明了超越对人口威胁和悲观情绪表达的独家关注的价值。此外,它还邀请对影响和塑造美国白人和其他种族人口如何理解和评估预计人口变化的因素进行进一步调查。
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Between Demographic Optimism and Pessimism?
Abstract The U.S. Census Bureau projects that by 2060, Latinx, African Americans, Asians, and other “minority” groups will together comprise the majority of the country’s population. Past research has found that non-Hispanic Whites, hereafter Whites, find such projections disquieting or threatening. Yet, recent surveys reveal that when given more than binary good/bad choices, most Whites opt for the middle-point response that this development will be “neither good nor bad for the country.” How can we account for this seemingly ambiguous evaluation of projected ethnoracial demographic futures? Using eight waves of nationally representative U.S. survey data collected between 2015 and 2018, this article begins to unpack the “neither” response among Whites, exploring what it might mean and what factors are associated with it, relative to seemingly optimistic and pessimistic stances. Multinomial Logistic Regression analyses and additional descriptive analyses indicate that “neither good nor bad” in this context is a substantive response: White “Neithers” are socio-demographically and attitudinally distinct from their counterparts. Our study demonstrates the value of moving beyond an exclusive focus on expressions of demographic threat and pessimism. Moreover, it invites further investigation into factors that inform and shape how Whites and other ethnoracial populations in the U.S. understand and assess projected population shifts.
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来源期刊
CiteScore
1.90
自引率
7.70%
发文量
16
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