5 research outputs found
Introducing ACLED: an armed conflict location and event dataset
This article presents ACLED, an Armed Conflict Location and Event Dataset. ACLED codes the actions of rebels, governments,and militias within unstable states, specifying the exact location and date of battle events, transfers of military control, headquarter establishment, civilian violence, and rioting. In the current version, the dataset covers 50 unstable countries from 1997 through 2010. ACLED’s disaggregation of civil war and transnational violent events allow for research on local level factors and
the dynamics of civil and communal conflict. Findings from subnational conflict research challenges conclusions from larger national-level studies. In a brief descriptive analysis, the authors find that, on average, conflict covers 15% of a state’s territory, but almost half of a state can be directly affected by internal wars
How and when amnesty during conflict affects conflict termination
In the difficult process of ending civil wars, granting amnesty during conflict is seen as a useful option, with an underpinning assumption that trading justice for peace is effective. However, is the case? This article tries to bring some clarity to when and how amnesty given during conflict has an impact. Amnesty should have different effects on diverse conflict endings: negotiated settlement, rebel victory, government victory or conflict reduction. The article also disaggregates amnesties to test direct impacts as an incentive or through reducing the commitment problem, and indirect effects that give military advantage to the government. Using a cross-national dataset of amnesties in dyadic conflicts from 1975 to 2011, the research finds that amnesty’s strongest effect is, surprisingly, not as an incentive but rather to reduce commitment problems. It can lead to negotiated settlements but also government military advantage. The results have implications for negotiations and conflict resolution