追踪可持续发展目标:关于衡量集体暴力造成的死亡的方法说明

IF 1.1 Q3 ECONOMICS
Anke Hoeffler, Frederike Kaiser, Birke Pfeifle, Flora Risse
{"title":"追踪可持续发展目标:关于衡量集体暴力造成的死亡的方法说明","authors":"Anke Hoeffler, Frederike Kaiser, Birke Pfeifle, Flora Risse","doi":"10.15355/epsj.17.2.32","DOIUrl":null,"url":null,"abstract":"As part of recording the progress toward promoting peaceful societies as envisioned in the Sustainable Development Goal (SDG) 16, it is important to provide accurate estimates of violence-related deaths (SDG 16.1). These estimations face a number of methodological challenges, resulting in rather conservative estimates in the social sciences. In this article, we discuss SDG indicator 16.1.2 on conflict-related deaths, proposing its enlargement to cover different forms of collective violence. Various types of collective violence, their definition, measurement, and methods to combine them without double counting are reviewed. Comparing the Georeferenced Events Dataset (GED) to the Global Terrorism Database (GTD) shows that events of armed conflict and terrorism overlap to a certain degree. Our argument is that merging data from different event databases can provide a more accurate account of collective violence. We augment the GED data on organized armed conflict with data on terrorism—as a result, our estimates of the numbers of collective violence-related deaths are indeed significantly higher than suggested by GED (one of the most widely used databases in the social sciences).","PeriodicalId":43334,"journal":{"name":"Economics of Peace and Security Journal","volume":"1 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tracking the SDGs: A methodological note on measuring deaths caused by collective violence\",\"authors\":\"Anke Hoeffler, Frederike Kaiser, Birke Pfeifle, Flora Risse\",\"doi\":\"10.15355/epsj.17.2.32\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As part of recording the progress toward promoting peaceful societies as envisioned in the Sustainable Development Goal (SDG) 16, it is important to provide accurate estimates of violence-related deaths (SDG 16.1). These estimations face a number of methodological challenges, resulting in rather conservative estimates in the social sciences. In this article, we discuss SDG indicator 16.1.2 on conflict-related deaths, proposing its enlargement to cover different forms of collective violence. Various types of collective violence, their definition, measurement, and methods to combine them without double counting are reviewed. Comparing the Georeferenced Events Dataset (GED) to the Global Terrorism Database (GTD) shows that events of armed conflict and terrorism overlap to a certain degree. Our argument is that merging data from different event databases can provide a more accurate account of collective violence. We augment the GED data on organized armed conflict with data on terrorism—as a result, our estimates of the numbers of collective violence-related deaths are indeed significantly higher than suggested by GED (one of the most widely used databases in the social sciences).\",\"PeriodicalId\":43334,\"journal\":{\"name\":\"Economics of Peace and Security Journal\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2022-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economics of Peace and Security Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15355/epsj.17.2.32\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economics of Peace and Security Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15355/epsj.17.2.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

作为记录可持续发展目标16所设想的促进和平社会进展的一部分,必须准确估计与暴力有关的死亡人数(可持续发展目标16.1)。这些估计面临着一些方法上的挑战,导致社会科学中相当保守的估计。在本文中,我们讨论关于冲突相关死亡的可持续发展目标指标16.1.2,建议扩大其范围,以涵盖不同形式的集体暴力。各种类型的集体暴力,他们的定义,测量和方法结合起来,不重复计算进行了审查。地理参考事件数据集(GED)与全球恐怖主义数据库(GTD)的对比表明,武装冲突事件与恐怖主义事件存在一定程度的重叠。我们的观点是,合并来自不同事件数据库的数据可以更准确地描述集体暴力。我们用关于恐怖主义的数据增加了关于有组织武装冲突的统计数据——因此,我们对集体暴力相关死亡人数的估计确实大大高于统计数据(社会科学领域使用最广泛的数据库之一)所显示的数字。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracking the SDGs: A methodological note on measuring deaths caused by collective violence
As part of recording the progress toward promoting peaceful societies as envisioned in the Sustainable Development Goal (SDG) 16, it is important to provide accurate estimates of violence-related deaths (SDG 16.1). These estimations face a number of methodological challenges, resulting in rather conservative estimates in the social sciences. In this article, we discuss SDG indicator 16.1.2 on conflict-related deaths, proposing its enlargement to cover different forms of collective violence. Various types of collective violence, their definition, measurement, and methods to combine them without double counting are reviewed. Comparing the Georeferenced Events Dataset (GED) to the Global Terrorism Database (GTD) shows that events of armed conflict and terrorism overlap to a certain degree. Our argument is that merging data from different event databases can provide a more accurate account of collective violence. We augment the GED data on organized armed conflict with data on terrorism—as a result, our estimates of the numbers of collective violence-related deaths are indeed significantly higher than suggested by GED (one of the most widely used databases in the social sciences).
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.00
自引率
0.00%
发文量
7
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信