An Empirical Analysis of Rape Sentence Based on SPSS

Yue Liu, Zhou Xu
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Abstract

As an ancient natural crime, rape is a serious violation of the sexual autonomy of the women victims and has always been a key target of the judicial authorities in China. A standardised and reasonable sentence for the crime of rape can help safeguard the legal rights of women as well as maintain social harmony and stability. This paper investigates the sentence decisions of 341 cases of rape defendants heard by the basic people's courts in Zhejiang Province from 2017 to 2021, selecting 24 types of sentence influencing factors such as type of behaviour, defendant's mental condition ,defendant's age and so on, considering the effect of factors influencing the term of a fixed-term imprisonment and the application of probation and establishing a linear prediction model for a fixed-term imprisonment and a logistic prediction model for the application of probation. After examining the various factors influencing sentencing, it was found that the current degree of standardization of sentencing for rape is high, but there are problems such as insufficient protection for special groups such as young girls and mentally ill people, and low correlation between aggravated outcomes and sentencing, so the Supreme People's Court should further refine the sentencing guidance applicable to the whole country and make reasonable improvements
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基于SPSS的强奸刑实证分析
强奸作为一种古老的自然犯罪,严重侵犯了受害妇女的性自主权,一直是中国司法机关的重点打击对象。规范合理的强奸罪量刑有利于维护妇女的合法权益,也有利于维护社会和谐稳定。本文对浙江省基层人民法院2017 - 2021年审理的341起强奸罪被告人的量刑决定进行了调查,选取了行为类型、被告人精神状况、被告人年龄等24种影响量刑的因素,考虑影响有期徒刑刑期和缓刑适用的因素的影响,建立有期徒刑的线性预测模型和缓刑适用的逻辑预测模型。在考察影响量刑的各种因素后发现,目前我国强奸罪量刑规范化程度较高,但存在对未成年少女、精神病患者等特殊群体保护力度不够、加重结果与量刑相关性较低等问题,最高人民法院应进一步细化适用于全国的量刑指南,并进行合理改进
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