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Replication Data for: Mining Competition and Violent Conflict in Africa

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Mining Competition and Violent Conflict in Africa
 
Identifier https://doi.org/10.7910/DVN/UI3NTB
 
Creator Rigterink, Anouk S.
Ghani, Tarek
Lozano, Juan S.
Shapiro, Jacob N.
 
Publisher Harvard Dataverse
 
Description Existing explanations for the well-established relationship between mining and conflict predominantly interpret violence near mines as conflict over territory or government. We provide evidence that competition between artisanal and industrial miners is also an important source of natural resources-related conflict, drawing on qualitative case studies at mining sites in the Democratic Republic of Congo and Zimbabwe, and a large-N analysis. For the latter, we use machine learning to estimate the feasibility of artisanal mining across the continent of Africa based on geological conditions. The impact of price shocks on violent conflict is over three times larger in locations with industrial mining where artisanal mining is feasible than in places with industrial mining unsuitable for artisanal mining. Our estimates suggest that 31 to 55% of the observed mining-conflict relationship is due to violent industrial-artisanal miner competition. This implies new avenues for conflict-mitigation as the clean energy transition increases demand for minerals.
 
Subject Social Sciences
Natural resources
Violent conflict
Artisanal mining
Extractives industry
 
Date 2023-12-20
 
Contributor Rigterink, Anouk