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A Spatial Analysis of Property Crime Rates in South Africa

机译:南非财产犯罪率的空间分析

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The main objective of this paper is to examine the relationship between two types of property-related crime and some socio-economic, demographic and deterrence factors. It employs the conditional autoregressive specification to account for spatial autocorrelation that characterises property-related crime data, which are aggregated up to the level of municipality. First, the analysis confirms the presence of spatial autocorrelation in the data, which means that neighbouring municipalities exhibit similar levels of property crime rates. In addition, and most importantly, empirical findings show that internal migration, youth and education are important predictors of property-related crime across municipalities in South Africa for the period under consideration.
机译:本文的主要目标是审查两种与财产相关犯罪和一些社会经济,人口和威慑因素之间的关系。 它采用条件自回归规范来解释空间自相关,该数据具有与财产相关的犯罪数据有关,这些数据汇总到市级。 首先,分析证实数据中存在空间自相关,这意味着邻近的市政当局表现出类似的财产犯罪率水平。 此外,最重要的是,实证调查结果表明,内部移民,青年和教育是南非市内的财产相关犯罪的重要预测因素,遍及所审议的时期。

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