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An Examination of the Link Between Employment Volatility and the Spatial Distribution of Property Crime Rates

机译:就业动荡与财产犯罪率空间分布之间的联系

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Recent criminological research has produced inconsistent findings in its attempts to establish a statistical relationship between economic marginalization and the spatial distribution of crime rates. This paper contends that this inconsistency is partly attributable to the way in which economic marginalization has been conceptually defined and measured. By focusing strictly on unemployment and poverty as the processes that produce economic marginalization, researchers have ignored other important economic dynamics that can marginalize workers and provide an environment conducive to crime. Further, commonly used indicators of economic marginalization, such as the unemployment rate and poverty rate, fail to measure the full range of dynamics that produce marginalization. It is our contention that employment volatility represents an important source of economic marginalization that can help foster higher levels of criminal activity. This hypothesis is tested using regression procedures to analyze the effects of employment volatility measures and frequently identified structural correlates of crime on change in the rate of property crime offenses across 683 U.S. metropolitan counties during the 1980-1983 period. The findings suggest that high levels of employment volatility are conducive to the maintenance of higher levels of property crime in general, as well as less severe forms of property crime such as larceny, when such crimes are examined on an individual basis.
机译:最近的犯罪学研究在建立经济边缘化与犯罪率的空间分布之间的统计关系的尝试中产生了不一致的发现。本文认为,这种不一致性部分归因于经济边缘化的概念定义和衡量方式。通过严格关注失业和贫困是造成经济边缘化的过程,研究人员忽略了其他重要的经济动态,这些动态因素可能使工人边缘化并提供有利于犯罪的环境。此外,经济边缘化的常用指标(例如失业率和贫困率)无法衡量导致边缘化的全部动态。我们认为,就业波动是经济边缘化的重要来源,可以助长犯罪活动的发展。该假设使用回归程序进行了检验,以分析就业波动性措施的影响,并在1980-1983年期间频繁发现犯罪与犯罪的结构相关性对683个美国大都市县财产犯罪率的变化产生影响。研究结果表明,就业动荡的高水平有利于总体上维持较高水平的财产犯罪,以及对这种犯罪进行单独审查后,则可以维持较轻的财产犯罪形式,例如盗窃罪。

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