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Social disorganization theory and the contextual nature of crime in nonmetropolitan counties

机译:非都市县的社会混乱理论与犯罪的背景性质

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This research explores violent and property crime rates in nonmetropolitan counties in the USA. It is argued that crime rates are lower in these counties because of higher levels of social integration. We test the hypothesis that predictors of crimefrom social disorganization theory exert different effects on violent and property crimes at different levels of population change in nonmetropolitan counties. We use a spatial lag regression model to predict the 1989-91 average violent and property crime rates for these counties, taken from the Uniform Crime Reports. The results show that a factor-analysed index of resource disadvantage (poverty rate, income inequality, unemployment, percent female-headed households) has different effects on both violent and property crime at different levels of population change in nonmetropolitan counties. Contrary to expectations, we find that resource disadvantage exerts a greater positive effect on both violent and property crimes in nonmetropolitan counties that lost population between 1980 and 1990. Implications for theory and research are discussed.
机译:这项研究探讨了美国非都市县的暴力和财产犯罪率。有人认为,由于社会融合程度较高,这些县的犯罪率较低。我们检验了以下假设这一假设:从社会组织理论出发,犯罪预测因素在非都市县人口变化的不同水平上对暴力犯罪和财产犯罪产生了不同的影响。我们使用空间滞后回归模型来预测这些县的1989-91年平均暴力和财产犯罪率,该数据来自《统一犯罪报告》。结果表明,在非都市县不同人口变化水平下,资源劣势(贫困率,收入不平等,失业,女户主家庭百分比)的因素分析指标对暴力犯罪和财产犯罪的影响不同。与预期相反,我们发现,资源劣势对1980年至1990年间失去人口的非大都市县的暴力犯罪和财产犯罪产生了更大的积极影响。讨论了理论和研究的意义。

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