Abstract
Armed conflict actors frequently target civilian populations. Thus, an improved understanding of such behaviour could pave the way to reducing it. We use the Civilian Targeting Index (CTI) and a broad array of geo-referenced data to investigate the spatio-temporal and economic dynamics of civilian targeting by conflict actors in Africa. Two main insights are generated. First, the civilian targeting behaviour of African non-state conflict actors is strongly influenced by the behaviour of other proximate actors. In particular, non-state actors tend to increase their civilian targeting after nearby non-state actors have done so. Possible mechanisms to explain such spatial spillovers include emulation and retaliation. Second, a negative relationship between economic activity and civilian targeting exists and applies to both state and non-state actors. In addition, CTIs of non-state actors tend to increase with population density, the geographical spread of their conflict activity and conflict duration. State actors have higher average CTIs than non-state actors do, but the gap between the two actor types tends to close during long-duration conflicts.
Highlights
Violence against civilians has been a deplorable element of numerous conflicts over the years and across all world regions
We present our results followed by three descriptive examples illustrating how civilian targeting spreads across armed groups, space and country borders
We identify spatio-temporal spillovers whereby civilian targeting by non-state actors tends to spread to other nearby non-state actors
Summary
Violence against civilians has been a deplorable element of numerous conflicts over the years and across all world regions. The most recent examples include conflicts in Syria, Yemen, Afghanistan, Thailand, Mali, Sudan and the Democratic Republic of Congo, to name just a few. In 2018 alone, intentional attacks on civilians took place in 30 countries and killed 4,515 people (Pettersson, Hogbladh & Oberg, 2019). The mechanisms leading to attacks on civilians and their spread are still not fully understood. Improved data and developments in econometrics have given way to a wave of studies that investigate factors that drive actors to target civilians rather than battle with their armed counterparts Spatio-temporal diffusion of violence against civilians has yet to be explored
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