Testing Novel Implications from the Selectorate Theory of War

Author:

de Mesquita Bruce Bueno,Morrow James D.,Siverson Randolph M.,Smith Alastair

Abstract

The authors tested five novel hypotheses derived from the selectorate theory of war with data for up to about 140 states and spanning the years 1816–1993. The hypotheses point to subtle differences in selection effects across regime types that should operate during crises that fall short of war and also during wars. Leaders who rely on a large coalition (such as democrats) to remain in office are shown to be more selective than their small-coalition counterparts in their willingness to fight wars when the odds of victory are not overwhelming. They are also more selective than their small-coalition counterparts in their willingness to take part in disputes that fall short of war when the odds are not exceptionally favorable. However, they are less selective about this form of participation than they are about war. Small-coalition leaders show no such selectivity in their preparedness to engage in disputes short of war or in war as a function of their odds of victory. These results hold whether the odds of victory are assessed continuously or whether they are based on a specific threshold. The authors also find, in keeping with the selectorate theory, that if a war fails to resolve quickly, democrats try harder than autocrats to win. And when the war is over, democrats demobilize much more slowly than autocrats.

Publisher

Cambridge University Press (CUP)

Subject

Political Science and International Relations,Sociology and Political Science

Cited by 104 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. Appendix;Positioning Women in Conflict Studies;2024-09-13

2. Women’s Inclusion and Political Violence;Positioning Women in Conflict Studies;2024-09-13

3. Solving the Concept Stretching Problem;Positioning Women in Conflict Studies;2024-09-13

4. Notes;Positioning Women in Conflict Studies;2024-09-13

5. Conclusion;Positioning Women in Conflict Studies;2024-09-13

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