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失业与犯罪:基于社区层面面板数据的研究

Unemployment and crime: A neighborhood level panel data approach.

机构信息

School of Criminology, Institute for Canadian Urban Research Studies, Simon Fraser University, 8888 University Drive, Burnaby, BC, Canada V5A 1S6.

出版信息

Soc Sci Res. 2012 Nov;41(6):1615-28. doi: 10.1016/j.ssresearch.2012.07.003. Epub 2012 Jul 20.

Abstract

Twenty-five years ago, David Cantor and Kenneth Land presented a model of the relationship between unemployment and crime. This model showed the complexity of this seemingly simple relationship. Namely, there are two independent and counteracting effects from unemployment that affect crime: motivation and guardianship. In their analysis, Cantor and Land found that the guardianship effect dominates the motivation effect, but subsequent research has questioned this result. In this paper, the unemployment and crime relationship is tested using a neighborhood level hybrid modeling approach. Such a method allows for the nuances of Cantor and Land's model to be tested at a fine ecological resolution for the first time. It is found that both motivation and guardianship matter for crime, but at different time frames: motivation matters in the long-run whereas guardianship matters in the short-run, similar to what Cantor and Land hypothesized.

摘要

25 年前,David Cantor 和 Kenneth Land 提出了一个失业与犯罪之间关系的模型。这个模型展示了这种看似简单的关系的复杂性。也就是说,失业对犯罪有两个独立且相互抵消的影响:动机和监管。在他们的分析中,Cantor 和 Land 发现监管效应主导着动机效应,但随后的研究对这一结果提出了质疑。在本文中,采用邻里层面的混合建模方法检验了失业与犯罪之间的关系。这种方法首次允许以精细的生态分辨率检验 Cantor 和 Land 模型的细微差别。结果发现,动机和监管对犯罪都很重要,但在不同的时间框架内:动机在长期内起作用,而监管在短期内起作用,这与 Cantor 和 Land 的假设相似。

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