Xie Xiaolan, Hao Mengmeng, Ding Fangyu, Ide Tobias, Helman David, Scheffran Jürgen, Wang Qian, Qian Yushu, Chen Shuai, Wu Jiajie, Ma Tian, Ge Quansheng, Jiang Dong
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Heliyon. 2023 Jun;9(6):e17182. doi: 10.1016/j.heliyon.2023.e17182. Epub 2023 Jun 10.
Understand whether and how the COVID-19 pandemic affects the risk of different types of conflict worldwide in the context of climate change.
Based on the database of armed conflict, COVID-19, detailed climate, and non-climate data covering the period 2020-2021, we applied Structural Equation Modeling specifically to reorganize the links between climate, COVID-19, and conflict risk. Moreover, we used the Boosted Regression Tree method to simulate conflict risk under the influence of multiple factors.
The transmission risk of COVID-19 seems to decrease as the temperature rises. Additionally, COVID-19 has a substantial worldwide impact on conflict risk, albeit regional and conflict risk variations exist. Moreover, when testing a one-month lagged effect, we find consistency across regions, indicating a positive influence of COVID-19 on demonstrations (protests and riots) and a negative relationship with non-state and violent conflict risk.
COVID-19 has a complex effect on conflict risk worldwide under climate change.
Laying the theoretical foundation of how COVID-19 affects conflict risk and providing some inspiration for the implementation of relevant policies.
了解在气候变化背景下,新冠疫情是否以及如何影响全球不同类型冲突的风险。
基于涵盖2020 - 2021年期间的武装冲突、新冠疫情、详细气候和非气候数据的数据库,我们应用结构方程模型专门重新梳理气候、新冠疫情和冲突风险之间的联系。此外,我们使用增强回归树方法来模拟多因素影响下的冲突风险。
新冠疫情的传播风险似乎随着气温上升而降低。此外,新冠疫情在全球范围内对冲突风险有重大影响,尽管存在地区和冲突风险差异。而且,在测试一个月的滞后效应时,我们发现各地区结果一致,表明新冠疫情对示威活动(抗议和骚乱)有积极影响,与非国家和暴力冲突风险呈负相关。
在气候变化背景下,新冠疫情对全球冲突风险有复杂影响。
为新冠疫情如何影响冲突风险奠定理论基础,并为相关政策的实施提供一些启示。