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中缅边境地区多发性侵财犯罪问题研究

Research on Frequently Occurring Crimes against Property in Border Area of Myanmar and China
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摘要 中缅边境地区近年来多发性侵财案件频发,破案率持续走低,成为中缅边境地区最具代表性犯罪类型之一。其犯罪有着显著特征:盗窃案件基数大,盗窃机动车突出;犯罪主体以吸毒人员为主,男性化、低文化、年轻化、本地化特征明显;犯罪侵害对象以牲畜、电动车、摩托车、烟酒等物品为主。其原因主要在于经济水平欠发达、地域性犯罪亚文化引导、畅通的销赃渠道、特殊的地理环境以及毒品犯罪催生等因素;具有追赃难、人口流动性大、边民法制观念淡薄、中缅警务合作不畅等侦查难点。对此类犯罪可以从社会治安管控、群众工作、社会保障体系完善三方面预防,从赃物的阵地控制、吸毒人员有效管控以及侦查跨区域协作机制三方面侦控。 In recent years, crimes against property have occurred frequently in the border area of Myanmar and China, while the clear-up rate of these cases remains low, which has become one of the most representative crime types in the border area of Myanmar and China. Crimes against Property in this area show significant characteristics as follows: The larceny cases are taking a large proportions, and the larceny of motor vehicles is outstanding; Criminal suspects are mainly local young male drug users with low educational level; The main criminal targets cover livestock, electric motorcars, motor cycles, tobacco and wine etc. Reasons for these crimes are multiple, such as underdeveloped economy, regional subculture, smooth disposal channels of stolen goods, special geographical environment and factors gave birth to drug-related crime. There exist investigation difficulties such as intractable recovery of stolen goods, large population mobility, poor legal perception of people in the border area, unsatisfying police cooperation between Myanmar and China. This type of crimes could be prevented by three aspects of social control, mass work and improvement of social security system, and could be investigated by three aspects of position control of stolen goods, effective control of drug users, and construction of cross-regional coordination mechanism in investigation.
作者 张尧 ZHANG Yao
出处 《江苏警官学院学报》 2016年第5期51-56,共6页 Journal of Jiangsu Police Institute
基金 云南省刑事科学技术重点实验室创新研究基金项目“基于DNA分析技术的侵财犯罪侦控问题研究”(YJXK116015)的阶段性研究成果
关键词 中缅边境地区 多发性侵财犯罪 侦查 border area of Myanmar and China frequently occurring crimes against property investigation
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