It is well established in the social sciences that the presence of natural resources like oil and diamonds often leads to pernicious outcomes including sluggish economic growth, non-democratic governments, and civil conflict. Though it is relatively well-understood how oil and diamonds cause bad economic and governance outcomes, it is much less clear how these factors are related to the emergence of civil wars. Nigeria, Indonesia, Sudan, and the Democratic Republic of Congo are often held up as examples of wars over the territory where resources come out of the ground. This project clarifies that in fact civil wars are less likely to take place in these resource-rich regions, and instead take place far away from oil wells and diamond mines in peripheral parts of resource-rich countries. The project aims to identify through a case study of Nigeria and two rebel groups within it, one in the resource-rich South and one in the resource-poor Northeast, why this might be. The explanation developed in the project centers on the threat of protest and sabotage by residents in the resource region, which leads the state to use revenues from natural resources to buy off those threatening groups and to send additional military forces to the region to forestall remaining threats. The project will, first, develop a new dataset of state military power in sub-national regions by digitizing and coding Michelin Tire Company maps of sub-Saharan Africa from 1960 to present to test the military forces argument. Second, interviews would make up case studies comparing two rebel groups, one in a resource-rich and one in a resource-poor region in Nigeria, to further test the theory of the mechanisms driving the resource-conflict relationship.

The project's intellectual merit is rooted in its novel theoretical and methodological contributions. Unlike many existing studies, the project's theory predicts not only in which countries civil war will take place, but where within the countries, and an explanation for why conflicts take place in these places. The research is also novel methodologically. It will combine qualitative evidence collected in West Africa with quantitative evidence from cross-regional data across states or provinces on the location of civil wars within resource-rich states. Few studies in political science leverage quantitative evidence at the sub-national level, and a very few use cross-regional evidence from multiple countries.

In addition to the intellectual contribution, the project has several broader impacts. The roads dataset - extending the coverage of existing data available only for the present back to 1960 - would substantially improve quantitative research on Africa. There are few reliable data covering the continent, and fewer still of substantive importance for social scientists. Roads are hypothesized, for example, to chart the projection of state power and economic activity over time. The entire dataset would be publicly disseminated. Donor funds, NGO time, and diplomatic action often aims to help states avoid the pernicious effects of new natural wealth. A study of the way governments respond to the new resources would inform new efforts to avoid them. The author aims to highlight flawed perceptions of the likely location of civil war threats, and three prescriptions to avoid them. First, social scientists' main advice is often revenue transparency. The theory developed suggests that is not nearly as important as disclosing how governments spend it and, critically, where. Second, regional economic equality may be critical, so the governments' hands could be tied to promote distributing revenue equally, and donor funds used to smooth the gaps. Finally, evidence on the effects of security force deployments could help prevent the power vacuums that are hypothesized to enable rebellion.

Agency
National Science Foundation (NSF)
Institute
Division of Social and Economic Sciences (SES)
Type
Standard Grant (Standard)
Application #
1226228
Program Officer
Lee Walker
Project Start
Project End
Budget Start
2012-08-15
Budget End
2015-07-31
Support Year
Fiscal Year
2012
Total Cost
$17,640
Indirect Cost
Name
Princeton University
Department
Type
DUNS #
City
Princeton
State
NJ
Country
United States
Zip Code
08544