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多维贫困:美国的一种替代衡量方法?

Multidimensional poverty: an alternative measurement approach for the United States?

作者信息

Waglé Udaya R

机构信息

School of Public Affairs and Administration, Western Michigan University, 1903 West Michigan Avenue, Kalamazoo, MI 49008, USA.

出版信息

Soc Sci Res. 2008 Jun;37(2):559-80. doi: 10.1016/j.ssresearch.2007.06.013.

Abstract

International poverty research has increasingly underscored the need to use multidimensional approaches to measure poverty. Largely embraced in Europe and elsewhere, this has not had much impact on the way poverty is measured in the United States. In this paper, I use a comprehensive multidimensional framework including economic well-being, capability, and social inclusion to examine poverty in the US. Data from the 2004 General Social Survey support the interconnectedness among these poverty dimensions, indicating that the multidimensional framework utilizing a comprehensive set of information provides a compelling value added to poverty measurement. The suggested demographic characteristics of the various categories of the poor are somewhat similar between this approach and other traditional approaches. But the more comprehensive and accurate measurement outcomes from this approach help policymakers target resources at the specific groups.

摘要

国际贫困研究越来越强调需要采用多维方法来衡量贫困。这种方法在欧洲和其他地区得到了广泛接受,但对美国衡量贫困的方式影响不大。在本文中,我使用一个包括经济福祉、能力和社会包容的综合多维框架来研究美国的贫困问题。2004年综合社会调查的数据支持了这些贫困维度之间的相互联系,表明利用一套全面信息的多维框架为贫困衡量提供了显著的附加价值。这种方法与其他传统方法相比,各类贫困人口的建议人口特征有些相似。但这种方法得出的更全面、准确的衡量结果有助于政策制定者将资源投向特定群体。

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