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This Mine is Mine! How minerals fuel conflicts in Africa

Author

Listed:
  • Nicolas Berman
  • Mathieu Couttenier
  • Dominic Rohner
  • Mathias Thoenig
Abstract
This paper studies empirically the impact of mining on conicts in Africa. Using novel data, we combine geo-referenced information over the 1997-2010 period on the location and characteristics of violent events and mining extraction of 27 minerals. Working with a grid covering all African countries at a spatial resolution of 0.5 0.5 degree, we find a sizeable impact of mining activity on the probability/intensity of conict at the local level. This is both true for low-level violence (riots, protests), as well as for organized violence (battles). Our main identification strategy exploits exogenous variations in the minerals' world prices; however the results are robust to various alternative strategies, both in the cross-section and panel dimensions. Our estimates suggest that the historical rise in mineral prices observed over the period has contributed to up to 21 percent of the average country-level violence in Africa. The second part of the paper investigates whether minerals, by increasing the nancial capacities of ghting groups, contribute to diffuse violence over time and space, therefore affecting the intensity and duration of wars. We find direct evidence that the appropriation of a mining area by a group increases the probability that this group perpetrates future violence elsewhere. This is consistent with \feasibility" theories of conflict. We also nd that secessionist insurgencies are more likely in mining areas, which is in line with recent theories of secessionist conflict.

Suggested Citation

  • Nicolas Berman & Mathieu Couttenier & Dominic Rohner & Mathias Thoenig, 2014. "This Mine is Mine! How minerals fuel conflicts in Africa," OxCarre Working Papers 141, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
  • Handle: RePEc:oxf:oxcrwp:141
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    References listed on IDEAS

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    More about this item

    Keywords

    Minerals; Mines; Conflict; Natural Resources; Rebellion;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • Q34 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Natural Resources and Domestic and International Conflicts

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