Suchergebnisse

Feminist scholars have long debated quantification trends in the social sciences. Of particular concern has been the extent to which the prestige assigned to quantitative methods may reinforce 'malestream' dynamics in academic knowledge production. 'Malestream' dynamics include the (implicit or explicit) privileging of a male-centric lens in the research process and the association of 'hard' numerical data with notions of 'scientifically superior' masculinity. We build on these discussions by asking how the rise in quantitative writings may affect gender disparities in the civil war literature. Using descriptive data from a newly coded dataset that contains 1,851 articles published in high-ranking journals between 1998 and 2018, we, firstly, illustrate how – in the generally male-dominated field of civil war research – the author gender gap is particularly pronounced among quantitative writings. Secondly, we present an in-depth discussion of three articles that use statistical analysis to test the effects of violence on prospects of post-traumatic growth. A distinct difference between the three articles is that they tend to be more sceptical of arguments on 'positive change' following violence the more account they take of gender differentiation in their theoretical framing and/or empirical identification strategy. All in all, our arguments call for greater awareness of gender bias in quantitative research, and for more rigour in currently hegemonic standards of what 'counts' as reliable evidence.

This article presents robust findings for the positive effect of corruption on the risk of ethnic civil war, using binary time-series-cross-section data that cover 87 to 121 countries (per year) between 1984 and 2007. Following a grievance-based explanation of violent intrastate conflict, we argue that corruption increases the risk of large-scale ethnic violence, as it creates distortions in the political decision-making process which lead to a deepening of political and economic inequalities between different ethnic groups. The positive effect of corruption on the risk of ethnic civil war is robust to various model specifications, including the interaction between corruption and natural resource wealth.

Both natural resource wealth and electoral system design are frequently investigated factors in the civil wars literature. So far, however, there is no well-known study which explicitly considers the interaction effect between these two factors on the risk of violent ethnic conflict. We argue that resource-rich countries with a proportional electoral system for the legislature are less prone to ethnic civil war than resource-rich countries with a majoritarian or mixed electoral system, as proportional electoral systems tend to increase the effective number of parliamentary parties and thus the number of groups who can share state control over resource wealth. We find empirical support for this argument using binary time-series-cross-section analysis covering 83 to 140 countries between 1984 and 2007. [Copyright Elsevier Ltd.]