Rebels with a cause: Introducing the Post-Rebel Electoral Parties dataset

Author:

Manning Carrie1ORCID,Smith Ian O2,Tuncel Ozlem1ORCID

Affiliation:

1. Department of Political Science, Georgia State University

2. Department of Political Science, St Mary’s University

Abstract

The Post-Rebel Electoral Parties (PREP) dataset offers an important new tool to study the transformation of rebel groups into political parties. It provides longitudinal data on the electoral participation and performance in national elections of political parties formed by armed opposition groups after civil war. Post-rebel electoral parties sit at the center of overlapping research agendas that address how best to build durable peace, and how to build resilient political systems and capable states after devastating conflict. A better understanding of how and why these parties participate and perform in elections over time is critical to any assessment of liberal peacebuilding. These parties – their strategic choices, organizational development, and impact on the political systems in which they participate – are also relevant to the broader study of comparative democratization, political parties, and party systems. Our dataset follows these parties forward through up to three decades of participation in postwar electoral politics. The current version of the data consists of 78 distinct parties derived from 56 conflict actors. The data cover 322 legislative election years and 216 executive elections in 39 countries over 30 years (1990–2021). This article describes the data and articulates the need for and motivation behind the dataset. We then illustrate the relevance of the data by testing the impact of rebel participation on the long-term peace.

Publisher

SAGE Publications

Subject

Political Science and International Relations,Safety Research,Sociology and Political Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Rebel group legitimacy, ideology and durable peace;International Journal of Conflict Management;2023-10-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3