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中东地区恐怖主义指数时空演变及其影响因素的时空异质性
引用本文:丁梓越,刘海砚,陈晓慧,麻洪川.中东地区恐怖主义指数时空演变及其影响因素的时空异质性[J].世界地理研究,2021,30(2):245-256.
作者姓名:丁梓越  刘海砚  陈晓慧  麻洪川
作者单位:信息工程大学数据与目标工程学院,郑州 450001
31009部队,北京 100088
基金项目:国家自然科学基金项目(41801313);河南省自然科学基金项目(182300410005)
摘    要:恐怖主义指数是评判恐怖主义风险的重要指标,剖析中东地区恐怖主义指数时空演变及其影响因素的时空异质性,对推理与解析恐怖主义发展趋势及其成因的时空分异具有重要意义。基于GTD数据库,计算恐怖主义指数,对中东地区各国恐怖主义风险进行量化评估,并结合统计指标进一步分析该地区恐怖主义指数的时空演变特征,采用OLS、GWR和GTWR模型解析诸多因素对该地区恐怖主义指数的作用模式。研究表明:(1)1995年至2016年期间,中东地区大部分国家恐怖主义风险逐步提高,且恐怖主义风险表现出一定的空间扩散趋势。(2)相比于OLS模型及GWR模型,GTWR模型解释度及拟合效果均明显增高,说明时空效应对各类因素均存在一定的影响,即各影响因素对中东地区恐怖主义指数均表现为时空非平稳作用模式。(3)通过综合分析各模型回归结果,民族宗教因素为导致中东地区恐怖主义指数发生时空变化的主导因素。

关 键 词:恐怖主义指数  时空演变特征  时空地理加权回归  时空异质性  中东地区  
收稿时间:2019-09-04
修稿时间:2020-01-07

Spatial and temporal evolution of terrorism index in Middle East and the spatial-temporal heterogeneity of its influencing factors
Ziyue DING,Haiyan LIU,Xiaohui CHEN,Hongchuan MA.Spatial and temporal evolution of terrorism index in Middle East and the spatial-temporal heterogeneity of its influencing factors[J].World Regional Studies,2021,30(2):245-256.
Authors:Ziyue DING  Haiyan LIU  Xiaohui CHEN  Hongchuan MA
Institution:School of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, China
31009 Troops, Beijing 10088, China
Abstract:Middle East is suffering more and more side effects from terrorism. The high risk of terrorism in Middle East could not be ignored. Terrorism index, which is estimated through the comprehensive assessment of the direct negative impact from terrorist attacks, can be considered as the significant indicator to evaluate terrorism risk. In light of this, terrorism index is utilized in this paper for the direct reflection of terrorism risk in Middle East. Additionally, terrorism risk would experience variation in both time and space, and the reason for this variation may be diversified. Hence, it is of great importance to analyze the spatio-temporal evolution and influencing factors of terrorism index in Middle East to study on the terrorism development trend and external causes. This paper was thus organized as below. Firstly, the terrorism index was constructed and calculated to quantitatively assess the terrorism risk of countries in Middle East. Then the spatio-temporal evolution characteristics of terrorism index were analyzed combining multiple statistic indexes. Taken social-economic, political, and geographical factors into consideration, the effects of various factors on the terrorism index in Middle East were finally analyzed by comparing OLS, GWR, and GTWR. The main conclusions are as follows. (1) The relevant statistical results suggested that the terrorism risk of most Middle East countries increased gradually from 1995 to 2016, and present a spatial diffusion trend. (2) GTWR had a significant improvement on the model performance in contrast with OLS and GWR, which indicated that the spatio-temporal effect had certain influence on the related factors. (3) Through comprehensive analysis of regression results, the ethnic and religious factors were the most essential influencing factors.
Keywords:terrorism index  spatio-temporal characteristics  geographical and temporal weighted regression  spatial-temporal heterogeneity  Middle East  
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