The ‘resource curse’ hypothesis claims that abundance in natural resources, particularly oil, encourages especially civil war. Natural resources provide both motive and opportunity for conflict and create indirect institutional and economic causes of instability. Contrarily, the theory of the rentier state — largely neglected in the study of peace and war in this respect — suggests that regimes use revenue from abundant resources to buy off peace through patronage, large-scale distributive policies and effective repression. Consequently, such rentier states would tend to be more stable politically and less prone to conflict. These two theories thus imply ambivalent effects of resource abundance on conflict proneness. This article presents part of a solution to this apparent puzzle for the case of oil-producing countries. The key argument is that both resource wealth per capita and resource dependence need to be taken into account, since only the availability of very high per capita revenues from oil allows governments to achieve internal stability. The empirical analysis supports this hypothesis. The findings of multivariate cross-country regressions indicate a U-shaped relationship between oil dependence and civil war onset, while high resource wealth per capita tends to be associated with less violence. The results of a macro-qualitative comparison for a reduced sample of highly dependent oil exporters are even more clearcut. Using the same reduced sample, we find that oil-wealthy countries apparently manage to maintain political stability by a combination of large-scale distribution, high spending on the security apparatus and protection by outsiders. Compared to oil-poor countries and in contradiction to the rentier state theory, the institutions of oil-wealthy countries do not seem to be particularly characterized by patronage and clientelism.

Anecdotal evidence from many armed conflicts suggests that religion incites violence. Theoretically speaking, several facets of religion can create motives and opportunities to overcome the collective action problems associated with organized violence. However, empirical research has hitherto found no conclusive answer on the extent to which religion is connected to armed conflict onset. Contributing to the filling of this gap, we use a new database that incorporates important religious factors that previous studies left largely untested. The data set covers 130 developing countries for the period 1990 to 2010. Results from logistic regressions confirm our expectation that certain religious factors fuel armed conflict—in particular, the overlap of religious and other identities, religious groups’ grievances, and religious leaders’ calls for violence. We also find that religious determinants vary in their impact according to whether conflicts are religious or not in origin.

This article presents ViEWS – a political violence early-warning system that seeks to be maximally transparent, publicly available, and have uniform coverage, and sketches the methodological innovations required to achieve these objectives. ViEWS produces monthly forecasts at the country and subnational level for 36 months into the future and all three UCDP types of organized violence: state-based conflict, non-state conflict, and one-sided violence in Africa. The article presents the methodology and data behind these forecasts, evaluates their predictive performance, provides selected forecasts for October 2018 through October 2021, and indicates future extensions. ViEWS is built as an ensemble of constituent models designed to optimize its predictions. Each of these represents a theme that the conflict research literature suggests is relevant, or implements a specific statistical/machine-learning approach. Current forecasts indicate a persistence of conflict in regions in Africa with a recent history of political violence but also alert to new conflicts such as in Southern Cameroon and Northern Mozambique. The subsequent evaluation additionally shows that ViEWS is able to accurately capture the long-term behavior of established political violence, as well as diffusion processes such as the spread of violence in Cameroon. The performance demonstrated here indicates that ViEWS can be a useful complement to non-public conflict-warning systems, and also serves as a reference against which future improvements can be evaluated.