Interest in authoritarian politics and democratic breakdown has fueled a revival in scholarship on coups d'état. However, this research is held back by the fact that no global coup dataset captures theoretically salient information on the identity of coup-makers, their goals, and the relationship between the coup leaders and the ruling regime. We introduce the Colpus dataset, new global data on coup types and characteristics in the post–World War II era. These data introduce a typology of coups, measurement strategy, and coding procedures to differentiate between whether coups seek to preserve existing ruling coalitions (leader reshuffling coups) or significantly alter ruling coalitions (regime change coups). We show trends in coup types across time and space. Finally, we demonstrate that poverty—an established determinant of coups—only predicts regime change coups. Colpus data will be of use to scholars of political instability and conflict, regime change, leadership accountability, the political economy of democracy and dictatorship, and related topics.

中文翻译：

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政变的多样性：介绍 Colpus 数据集

对威权政治和民主崩溃的兴趣推动了政变研究的复兴。然而，这项研究受到以下事实的阻碍：没有全球政变数据集从理论上捕获有关政变制造者身份、他们的目标以及政变领导人与统治政权之间关系的重要信息。我们介绍了 Colpus 数据集，这是关于二战后政变类型和特征的全球新数据。这些数据介绍了政变类型、测量策略和编码程序，以区分政变是寻求保留现有的执政联盟（领导人改组政变）还是显着改变执政联盟（政权更迭政变）。我们展示了跨越时间和空间的政变类型的趋势。最后，我们证明了贫困——政变的一个既定决定因素——只能预测政权更迭政变。Colpus 数据将对政治不稳定和冲突、政权更迭、领导责任、民主和独裁的政治经济学以及相关主题的学者有用。