Fiandrino Stefania, Cattuto Ciro, Paolotti Daniela, Schifanella Rossano
Institute for Scientific Interchange, ISI Foundation, Turin, Italy.
Department of Computer Science, University of Turin, Turin, Italy.
Front Big Data. 2023 Feb 16;6:1107785. doi: 10.3389/fdata.2023.1107785. eCollection 2023.
Conflicts cause immense human suffering, violate human rights, and affect people's stability. Colombia is affected for decades by a high level of armed conflicts and violence. The political and socio-economic situation, drug trafficking in the Colombian economy, and natural disasters events affect the country and foster general violence. In this work, we aim to evaluate the role of the socioeconomic, political, financial, and environmental determinants of conflicts in the Colombian context. To achieve these aims, we apply a spatial analysis to explore patterns and identify areas that suffer from high levels of conflict. We investigate the role of determinants and their relationship with conflicts through spatial regression models. In this study, we do not consider only the entire Colombian territory, but we extend the analysis to a restricted area (Norte de Santander department) to explore the phenomena locally. Our findings indicate a possible diffusion process of conflicts and the presence of spillover effects among regions by comparing the two most known spatial regression models. As regards possible key drivers of conflicts, our results show that surprisingly socioeconomic variables present very little relationship with conflicts, while natural disasters and cocaine areas show a relevant impact on them. Despite some variables seeming to be the more informative to explain the process globally, they highlight a strong relationship for only a few specific areas while considering a local analysis. This result proves the importance of moving to a local investigation to strengthen our understanding and bring out additional interesting information. Our work emphasizes how the identification of key drivers of violence is crucial to have evidence to inform subnational governments and to support the decision-making policies that could assess targeted policy options.
冲突造成了巨大的人类苦难,侵犯了人权,并影响了人们的稳定。几十年来,哥伦比亚一直受到高度武装冲突和暴力的影响。政治和社会经济状况、哥伦比亚经济中的毒品贩运以及自然灾害事件都对该国产生影响,并助长了普遍的暴力。在这项工作中,我们旨在评估哥伦比亚背景下冲突的社会经济、政治、金融和环境决定因素的作用。为实现这些目标,我们应用空间分析来探索模式并识别冲突高发地区。我们通过空间回归模型研究决定因素的作用及其与冲突的关系。在本研究中,我们不仅考虑整个哥伦比亚领土,还将分析扩展到一个受限区域(北桑坦德省)以在当地探索这些现象。通过比较两种最知名的空间回归模型,我们的研究结果表明冲突可能存在扩散过程以及各地区之间存在溢出效应。关于冲突可能的关键驱动因素,我们的结果表明,令人惊讶的是,社会经济变量与冲突的关系非常小,而自然灾害和可卡因种植区对冲突有显著影响。尽管一些变量似乎在全球范围内对解释这一过程更具信息价值,但在进行局部分析时,它们仅对少数特定地区显示出强烈关系。这一结果证明了进行局部调查对于加强我们的理解并挖掘更多有趣信息的重要性。我们的工作强调了确定暴力关键驱动因素对于为地方政府提供证据以及支持能够评估有针对性政策选项的决策政策的重要性。