四川省拐卖儿童犯罪的时空演变过程及影响因素分析

doi:10.18306/dlkxjz.2020.05.013

地理科学进展 ›› 2020, Vol. 39 ›› Issue (5): 853-865.doi: 10.18306/dlkxjz.2020.05.013

四川省拐卖儿童犯罪的时空演变过程及影响因素分析

刘玲^1,², 李钢^1,^2,^*(), 薛淑艳^1,², 马雪瑶^1,², 周俊俊^1,², 徐婷婷^1,², 王皎贝^1,²

^1. 西北大学城市与环境学院,西安 710127
^2. 陕西省地表系统与环境承载力重点实验室,西安 710127

收稿日期:2019-10-11 修回日期:2020-03-07 出版日期:2020-05-28 发布日期:2020-07-28
通讯作者: 李钢
作者简介:刘玲(1996— ),女,四川眉山人,硕士生,主要从事犯罪地理与城市地理研究。E-mail:1101210821@qq.com
基金资助:
国家自然科学基金面上项目(41871144);教育部人文社会科学研究规划基金项目(16YJAZH028)

Spatiotemporal change and influencing factors of child trafficking crime in Sichuan Province

LIU ling^1,², LI Gang^1,^2,^*(), XUE Shuyan^1,², MA Xueyao^1,², ZHOU Junjun^1,², XU Tingting^1,², WANG Jiaobei^1,²

^1. College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
^2. Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an 710127, China

Received:2019-10-11 Revised:2020-03-07 Online:2020-05-28 Published:2020-07-28
Contact: LI Gang
Supported by:
National Natural Science Foundation of China(41871144);Humanities and Social Science Foundation of Chinese Ministry of Education(16YJAZH028)

摘要/Abstract

摘要：

拐卖儿童犯罪给受害者带来身心创伤、给家庭带来巨大悲痛和长期困扰,已成为社会和学界关注的焦点问题。该领域犯罪地理学视角的研究兴起较晚,且主要侧重宏观整体分析,当前亟需聚焦高发源地和重点人群作精细解析。为此,论文针对中国拐卖犯罪重灾源区四川省,综合运用数理统计、空间分析、文本分析、案例分析等方法探究四川省拐卖儿童犯罪的时空演变过程与影响因素。研究发现：① 数量上,被拐男童明显多于女童,被拐儿童主要来自乡村,虽呈现1~6岁和14~17岁的“双峰”型特征,但整体趋向低龄化。② 时间上,犯罪年际分布大致呈倒“V”型波动态势,高发期为1981—2000年;犯罪年内分布集中于夏半年,周内分布周末高发,日期分布每月1日的被拐儿童数量最多。③ 空间上,存在一个被拐高发区和多个被拐次高发区;县域尺度上的犯罪格局呈现“高—高”和“低—低”聚集;随着时间的变化,拐出热点区不断向南部和东部蔓延;宏观贩运路径上,向中东部地区分散拐入,华北和华南是重点拐入的“南北两汇”。④ 对1981—2000年犯罪高发期的原因解析发现,受教育水平与城乡收入差距是影响拐卖儿童犯罪的主导因素。

关键词: 拐卖儿童犯罪, 四川省, 犯罪地理学

Abstract:

Child trafficking crime causes physical and psychological trauma to the victims and great grief and long-term trouble to the families of the victims. Therefore, it has attracted the attention of the society and the academic community. Research from the perspective of criminal geography in this field started relatively late and mainly focused on the macro analysis, so it is urgent to focus on high-incidence areas and key groups for detailed analysis. Based on the data of Sichuan Province—the most severely affected area for trafficking crime in China—this study analyzed the spatiotemporal pattern and influencing factors of child trafficking crime by means of text analysis, mathematical statistics, spatial analysis, and case analysis. The study found that: 1) The trafficked children were mainly from rural areas, and the trafficked males were significantly more than females. The trafficked children tended to be young, showing a double-peaks pattern. 2) Temporally, the annual change of crime showed a roughly inverted V-shaped pattern, which frequently occurred during 1981-2000. The trafficking crime was concentrated in the summer half year. 3) Spatially, the number of trafficked children was unevenly distributed. There was a high-incidence area (Chengdu) and a few smaller high-incidence areas. At the county scale, the crime pattern presented the characteristics of "high-high" and "low-low" distribution and trafficking-out hotspots continue to spread south and east. The trafficking routes presented a decentralized trafficking-in to the east feature, which showed that South China and North China were the main trafficking-in areas. 4) Through the analysis of the causes of the high incidence of crimes from 1981 to 2000, it was found that education level and the income gap between urban and rural areas were the main factors that affect the crime of child trafficking.

Key words: child trafficking crime, Sichuan Province, crime geography

刘玲, 李钢, 薛淑艳, 马雪瑶, 周俊俊, 徐婷婷, 王皎贝. 四川省拐卖儿童犯罪的时空演变过程及影响因素分析[J]. 地理科学进展, 2020, 39(5): 853-865.

LIU ling, LI Gang, XUE Shuyan, MA Xueyao, ZHOU Junjun, XU Tingting, WANG Jiaobei. Spatiotemporal change and influencing factors of child trafficking crime in Sichuan Province[J]. PROGRESS IN GEOGRAPHY, 2020, 39(5): 853-865.

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参考文献 66

[1]	祝燕涛, 孙劲峰 . 国际拐卖犯罪新动向 [J]. 人民公安, 2000(12):33-34.
	[ Zhu Yantao, Sun Jinfeng . New trends of international trafficking crime. People's Police, 2000(12):33-34. ]
[2]	莫传明 . 刑事视野下的拐卖儿童犯罪分析 [J]. 法制与经济(中旬刊), 2011(5):164.
	[ Mo Chuanming . Analysis of child trafficking crime in Criminal. Legal and Economic, 2011(5):164. ]
[3]	赵星, 吕珊 . 论拐卖人口犯罪的成因及其应对措施 [J]. 山东警察学院学报, 2010,22(2):101-105.
	[ Zhao Xing, Lv Shan . The causes and countermeasures of human trafficking crime. Journal of Shandong Police College, 2010,22(2):101-105. ]
[4]	孟德斯鸠. 论法的精神 [M]. 张雁深, 译. 北京: 商务印书馆, 1982.
	[ Montesquieu. The spirit of the law. Translated by Zhang Yanshen. Beijing, China: The Commercial Press, 1982. ]
[5]	Fox V B . Introduction to criminology [M]. Englewood Cliffs, USA: Prentice-Hall, 1985.
[6]	祝晓光 . 犯罪地理学初探 [J]. 河北师范大学学报(社会科学版), 1986(3):113-118.
	[ Zhu Xiaoguang . A preliminary study on criminal geography. Journal of Hebei Normal University (Philosophy and Social Sciences Edition), 1986(3):113-118. ]
[7]	祝晓光 . 芝加哥学派对犯罪空间分布理论的贡献 [J]. 人文地理, 1988,3(2):71-74.
	[ Zhu Xiaoguang . Chicago School's contribution to the theory of spatial distribution of crime. Human Geography, 1988,3(2):71-74. ]
[8]	祝晓光 . 论犯罪地理学 [J]. 人文地理, 1989,4(2):40-46.
	[ Zhu Xiaoguang . Study on criminal geography. Human Geography, 1989,4(2):40-46. ]
[9]	王发曾 . 城市空间环境对城市犯罪的影响 [J]. 人文地理, 2001,16(2):1-6, 11.
	[ Wang Fazeng . The urban spatial environment's influences on urban crime. Human Geography, 2001,16(2):1-6, 11. ]
[10]	孙峰华 . 中外犯罪地理规律实证研究 [J]. 人文地理, 2006,21(5):14-17.
	[ Sun Fenghua . Authentic proof study on criminal geographical laws in China. Human Geography, 2006,21(5):14-17. ]
[11]	毛媛媛, 戴慎志 . 国外城市空间环境与犯罪关系研究的剖析和借鉴 [J]. 国际城市规划, 2008(4):104-109.
	[ Mao Yuanyuan, Dai Shenzhi . Analysis and enlightenment of the relationship between urban environment and crime-based on the perspective of urban planning. Urban Planning International, 2008(4):104-109. ]
[12]	陆娟, 汤国安, 张宏 , 等. 犯罪热点时空分布研究方法综述 [J]. 地理科学进展, 2012,31(4):419-425.
	[ Lu Juan, Tang Guoan, Zhang Hong , et al. A review of research methods for spatiotemporal distribution of the crime hot spots. Progress in Geography, 2012,31(4):419-425. ]
[13]	刘大千, 宋伟, 修春亮 . 长春市“两抢两盗”犯罪的空间分析 [J]. 地理科学, 2014,34(11):1344-1352.
	[ Liu Daqian, Song Wei, Xiu Chunliang . Spatial analysis on robbery, forcible seizure, vehicle theft and burglary in Changchun. Scientia Geographica Sinica, 2014,34(11):1344-1352. ]
[14]	郑文升, 卓蓉蓉, 罗静 , 等. 基于空间句法的武汉城区“两抢一盗”犯罪分布环境 [J]. 地理学报, 2016,71(10):1710-1720.
	[ Zheng Wensheng, Zhuo Rongrong, Luo Jing , et al. The distribution environment of robbery, snatch and theft crime based on space syntax: A case study of the central area of Wuhan. Acta Geographica Sinica, 2016,71(10):1710-1720. ]
[15]	陈鹏, 瞿珂, 胡啸峰 , 等. 入室盗窃犯罪时段分布特征分析 [J]. 中国刑警学院学报, 2018(2):41-44.
	[ Chen Peng, Qu Ke, Hu Xiaofeng , et al. Study on timing distribution of residential burglary. Journal of Criminal Investigation Police University of China, 2018(2):41-44. ]
[16]	柳林, 刘文娟, 廖薇薇 , 等. 基于随机森林和时空核密度方法的不同周期犯罪热点预测对比 [J]. 地理科学进展, 2018,37(6):761-771.
	[ Liu Lin, Liu Wenjuan, Liao Weiwei , et al. Comparison of random forest algorithm and space-time kernel density mapping for crime hotspot prediction. Progress in Geography, 2018,37(6):761-771. ]
[17]	Dottridge M . Trafficking in children in West and Central Africa [J]. Gender & Development, 2002,10(1):38-42.
[18]	Barrows J, Finger R . Human trafficking and the healthcare professional [J]. Southern Medical Journal, 2008,101(5):521-524.
[19]	Fong R, Cardoso J B . Child human trafficking victims: Challenges for the child welfare system [J]. Evaluation and Program Planning, 2010,33(3):311-316.
[20]	Clause K J, Lawler K B . The hidden crime: Human trafficking [J]. The Pennsylvania Nurse, 2013,68(2):18-23.
[21]	Richards T A . Health implications of human trafficking [J]. Nursing for Women's Health, 2014,18(2):155-162.
[22]	Van Reisen M, Rijken C . Sinai trafficking: Origin and definition of a new form of human trafficking [J]. Social Inclusion, 2015,3(1):113-124.
[23]	Varma S, Gillespie S, McCracken C, et al. Characteristics of child commercial sexual exploitation and sex trafficking victims presenting for medical care in the United States [J]. Child Abuse and Neglect, 2015,44:98-105.
[24]	Bennett T . Preventing trafficking in women and children in Asia: Issues and options [J]. Impact on HIV, 1999,1(2):9-13.
[25]	Brayley H, Cockbain E . British children can be trafficked too: Towards an inclusive definition of internal child sex trafficking [J]. Child Abuse Review, 2014,23(3):171-184.
[26]	Buthelezi S . Human trafficking and the new legal framework in South Africa: Intervention needed for the law to reach vulnerable girls and women [J]. Agenda, 2015,29(3):155-164.
[27]	刘婷 . 论拐卖人口罪的有关问题 [J]. 法律适用, 1994(1):26-27.
	[ Liu Ting . A study on the related issues of human trafficking crime. Journal of Law Application, 1994(1):26-27. ]
[28]	刘宪权 . 论我国惩治拐卖人口犯罪的刑法完善 [J]. 法学, 2003(5):93-100.
	[ Liu Xianquan . On perfection of criminal law in punishment of trafficking human crime in China. Law Science, 2003(5):93-100. ]
[29]	高晓莹 . 拐卖儿童罪之犯罪学探析 [J]. 中国青年政治学院报, 2010,29(6):90-94.
	[ Gao Xiaoying . Analysis of the criminology of child trafficking crime. Journal of Chinese Youth Social Science, 2010,29(6):90-94. ]
[30]	王晓龄 . 浅析拐卖妇女儿童罪死刑问题 [J]. 法制博览, 2015(18):61-62.
	[ Wang Xiaoling . Analysis of the death penalty for child and women trafficking crime. Legality Vision, 2015(18):61-62. ]
[31]	蔡曦蕾 . 拐卖儿童罪: 设刑与动刑: 兼论“轻处”倾向的背后因素 [J]. 北京社会科学, 2016(7):13-26.
	[ Cai Xilei . Penalties configuration and penalties distribution of the crime of child trafficking: The hidden factors of tendency of relatively lenient sentencing. Social Sciences of Beijing, 2016(7):13-26. ]
[32]	赵军 . 法治建构与社会治理的“刑法依赖症”: 以拐卖儿童犯罪的法律演进为中心 [J]. 法学评论, 2016,34(6):75-86.
	[ Zhao Jun . Criminal law dependency in construction of rule of law and social governance. Law Review, 2016,34(6):75-86. ]
[33]	李钢, 王会娟, 谭然 , 等. 中国拐卖儿童犯罪的时空特征与形成机制: 基于“成功案例”的管窥 [J]. 地理研究, 2017,36(12):2505-2520.
	[ Li Gang, Wang Huijuan, Tan Ran , et al. Spatiotemporal characteristics and formation mechanism of child trafficking crime in China based on "successful cases". Geographical Research, 2017,36(12):2505-2520. ]
[34]	李钢, 谭然, 王会娟 , 等. 中国拐卖儿童犯罪的地理特征研究 [J]. 地理科学, 2017,37(7):1049-1058.
	[ Li Gang, Tan Ran, Wang Huijuan , et al. Geographic characteristics of child trafficking crime in China. Scientia Geographica Sinica, 2017,37(7):1049-1058. ]
[35]	王会娟 . 我国拐卖儿童犯罪的时空特征与影响因素研究[D]. 西安: 西北大学, 2017.
	[ Wang Hujuan . Research on spatio-temporal characteristics and influencing factors of child trafficking crime in China. Xi'an, China: Northwest University, 2017. ]
[36]	李钢, 谭然, 王会娟 , 等. 中国拐卖儿童犯罪时空格局演变及其影响因素 [J]. 人文地理, 2018,33(2):26-34.
	[ Li Gang, Tan Ran, Wang Huijuan , et al. Spatio-temporal change and influencing factors of child trafficking crime in China. Human Geography, 2018,33(2):26-34. ]
[37]	谭然 . 地理学视角下的中国拐卖儿童犯罪研究[D]. 西安: 西北大学, 2018.
	[ Tan Ran . Research on child trafficking crime in China from the perspective of geography. Xi'an, China: Northwest University, 2018. ]
[38]	李钢, 王莺莺, 杨兰 , 等. 拐入侧视域下我国拐卖儿童犯罪的时空格局 [J]. 陕西师范大学学报(自然科学版), 2019,47(3):95-102.
	[ Li Gang, Wang Yingying, Yang Lan , et al. Spatio-temporal pattern of child trafficking crime in China: A demand-front perspective. Journal of Shaanxi Normal University (Natural Science Edition), 2019,47(3):95-102. ]
[39]	武丹 . 儿童拐卖犯罪的时空分布分析及其影响因素研究[D]. 兰州: 兰州交通大学, 2017.
	[ Wu Dan . Research on spatial distribution and driving factors of child trafficking crime. Lanzhou, China: Lanzhou Jiaotong University, 2017. ]
[40]	Wang Z, Wei L Y, Peng S , et al. Child-trafficking networks of illegal adoption in China [J]. Nature Sustainability, 2018,1(5):254. doi: 10.1038/s41893-018-0065-5.
[41]	Xin Y Y, Cai T . Child trafficking in China: Evidence from sentencing documents [J]. International Journal of Population Studies, 2018,4(2):1-11. doi: 10.18063/ijps.v4i2.817.
[42]	Huang Z L, Weng W G . Analysis on geographical migration networks of child trafficking crime for illegal adoption from 2008 to 2017 in China [J]. Physica A: Statistical Mechanics and Its Applications, 2019,528:121404.doi: 10.1016/j.physa.2019.121404.
[43]	Goodchild M . Spatial autocorrelation concepts and techniques in modern geography [M]. London, UK: Norwich UK Geo Books, 1986.
[44]	Getis A, Ord J K . The analysis of spatial association by use of distance statistics [J]. Geographical Analysis, 1992,24(3):189-206.
[45]	Cliff A, Ord J K . Spatial processes models and application [M]. London, UK: Pion Limited, 1981.
[46]	张松林, 张昆 . 全局空间自相关Moran指数和G系数对比研究 [J]. 中山大学学报(自然科学版), 2007,46(4):93-97.
	[ Zhang Songlin, Zhang Kun . Comparison between general Moran's index and Getis-Ord general G of spatial autocorrelation. Journal of Sun Yat-senUniversity(Natural Science), 2007,46(4):93-97. ]
[47]	陈雅淑 . 局部空间自相关指标的适用性研究[D]. 上海: 华东师范大学, 2009.
	[ Chen Yashu . Investigation of local indexes of spatial autocorrelation application. Shanghai, China: East China Normal University, 2009. ]
[48]	赵捷 . 反对拐卖: 行动与研究的反思 [M]. 昆明: 云南人民出版社, 2012.
	[ Zhao Jie. Anti-trafficking: Reflections on action and research. Kunming, China: Yunnan People's Press, 2012. ]
[49]	任泽平, 熊柴, 周哲 . 中国生育报告2019 [J]. 发展研究, 2019(6):20-40.
	[ Ren Zeping, Xiong Chai, Zhou Zhe. China fertility report 2019. Development Research, 2019(6):20-40. ]
[50]	孙峰华, 毛爱华 . 犯罪地理学的理论研究 [J]. 人文地理, 2003,18(5):70-74.
	[ Sun Fenghua, Mao Aihua . Study on the theories of criminal geography. Human Geography, 2003,18(5):70-74. ]
[51]	张静晶 . 公路交通与经济社会发展适应性评价研究[D]. 成都: 西南交通大学, 2011.
	[ Zhang Jingjin . Research on adaptability evaluation for highway transportation and economic & social development. Chengdu, China: Southwest Jiaotong University, 2011. ]
[52]	梁艺桦, 杨新军, 马晓龙 . 旅游业发展影响因子灰色关联分析 [J]. 人文地理, 2006,21(2):37-40.
	[ Liang Yihua, Yang Xinjun, Ma Xiaolong . Gray correlative analysis on factors affecting tourism development. Human Geography, 2006,21(2):37-40. ]
[53]	王树涛, 李新旺, 门明新 , 等. 基于改进灰色关联度法的河北省粮食波动影响因素研究 [J]. 中国农业科学, 2011,44(1):176-184.
	[ Wang Shutao, Li Xinwang, Men Mingxin , et al. Study on the influencing factors of grain production in Hebei Province based on gray correlation degree method. Scientia Agricultura Sinica, 2011,44(1):176-184. ]
[54]	邓聚龙 . 灰色系统理论教程 [M]. 武汉: 华中科技大学出版社, 1990.
	[ Deng Julong. The course of grey system theory. Wuhan, China: Huazhong University of Science and Technology Press, 1990. ]
[55]	刘思峰, 党耀国, 方志耕 , 等. 灰色系统理论及其应用 [M]. 北京: 科学出版社, 2010.
	[ Liu Sifeng, Dang Yaoguo, Fang Zhigeng , et al. The theory and application of grey system. Beijing, China: Science Press, 2010. ]
[56]	金娟 . 论人口结构与纽约城市犯罪问题(1980—2000)[D]. 上海: 华东师范大学, 2011.
	[ Jin Juan . A study of demographic and crime issue in New York City (1980-2000). Shanghai, China: East China Normal University, 2011. ]
[57]	朱健序 . 基于犯罪热点的时空分析及防控对策研究[D]. 北京: 中国人民公安大学, 2019.
	[ Zhu Jianxu . Spatio-temporal analysis and research on prevention and control measures based on crime hotspots. Beijing, China: People's Public Security University of China, 2019. ]
[58]	田鹤城 . 经济发展与犯罪关系研究[D]. 杨凌: 西北农林科技大学, 2009.
	[ Tian Hecheng . Research on the relationship between economic development and crime. Yangling, China: Northwest A&F University, 2009. ]
[59]	吴兴杰 . 我国流动人口收入差距与犯罪率的实证研究[D]. 杭州: 浙江大学, 2010.
	[ Wu Xingjie . An empirical study on income inequality of China's floating population and criminal rate. Hangzhou, China: Zhejiang University, 2010.]
[60]	周路 . 当代实证犯罪学新编 [M]. 北京: 人民法院出版社, 2004.
	[ Zhou Lu. A new edition of contemporary positive criminology. Beijing, China: People's Court Press, 2004.]
[61]	严小兵 . 上海市就业市场状况与城市犯罪的空间计量分析 [J]. 人文地理, 2013,28(3):85-90, 69.
	[ Yan Xiaobing . A spatial econometric analysis on local labor market and crime in Shanghai. Human Geography, 2013,28(3):85-90, 69. ]
[62]	李锡海 . 文化与犯罪的本质研究 [J]. 中国人民公安大学学报(社会科学版), 2005,21(3):142-148.
	[ Li Xihai . A study on the nature of culture and crime. Journal of People' s Public Security University of China (Social Sciences Edition), 2005,21(3):142-148. ]
[63]	Shen A, Antonopoulos G A, Papanicolaou G . China's stolen children: Internal child trafficking in the People's Republic of China [J]. Trends in Organized Crime, 2013,16(1):31-48. doi: 10.1007/s12117-012-9167-z
[64]	Adesina O S . Modem day slavery: Poverty and child trafficking in Nigeria [J]. African Identities, 2014,12(2):165-179.
[65]	张森 . 个体受教育程度与犯罪类型及其处罚程度的相关性研究[D]. 湘潭: 湘潭大学, 2017.
	[ Zhang Sen . A study on the relationship between individual education level and crime type and punishment degree. Xiangtan, China: Xiangtan University, 2017. ]
[66]	刘伟 . 人之殇: 全景透视下的拐卖人口犯罪 [M]. 济南: 山东人民出版社, 2017.
	[ Liu Wei. Human grief: Human trafficking in a panoramic perspective. Jinan, China: Shandong People's Press, 2017. ]

时段	Moran's I	Z统计量	P值
1971—1980年	0.091	4.202^**	0.002
1981—1990年	0.194	8.818^***	0.001
1991—2000年	0.157	7.484^***	0.001
2000—2018年	0.156	6.981^***	0.001

影响因子	替代指标	样本量	样本均值	标准差
人口分布	人口密度(人/km²)	20	144.28	16.59
经济发展水平	城乡收入差距	20	2.70	0.54
就业状况	城镇登记失业率(%)	20	3.29	0.62
受教育水平	受教育人数占比	20	0.83	0.02

影响因子	1981—1990年	1991—2000年	1981—2000年
人口密度	0.6816	0.6350	0.6095
城乡收入差距	0.7108	0.6042	0.6715
城镇登记失业率	0.6285	0.6014	0.6338
受教育人数占比	0.7196	0.8840	0.7254

四川省拐卖儿童犯罪的时空演变过程及影响因素分析

Spatiotemporal change and influencing factors of child trafficking crime in Sichuan Province

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