Economic Development, Rebel Mobilization, and Civil War Onset

Report an error

Summary

AI-generated

This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.

Learn more about AI enrichment

The research argues that the association between poverty and civil war is primarily driven by low state reach and geographic accessibility rather than the depth of poverty itself. Through cross-national quantitative analysis and a detailed case study of the Maoist insurgency in Nepal, the author finds that while inaccessibility and pre-existing social networks are critical for the survival and growth of initially weak rebel groups, their importance declines as rebels gain relative military capacity. The study concludes that the 'economic opportunity cost' account—which posits that poverty makes rebellion financially feasible—is less supported by the evidence than the 'politico-military opportunity' account.

Key insights

AI-generated

These insights are written by a language model reading the source document. They are not the publisher's words and are not a substitute for the original.

Learn more about AI enrichment
  • State reach is a more significant determinant of civil war onset than GDP per capita; when controlling for state reach, GDP per capita no longer shows a significant association with the risk of civil war.
  • The 'economic opportunity cost' theory, which suggests the poorest individuals are most likely to rebel, is not robustly supported; the income of the poorest 10% of the population (bottom decile income) is not significantly associated with civil war onset.
  • The role of geographic inaccessibility in insurgency is contingent on the relative military power of the belligerents: it is crucial for weak rebels who need to hide, but becomes less important as they gain strength.
  • In the early stages of the Maoist insurgency in Nepal, pre-existing local organizational and social networks were more critical for mobilization than territorial control or poverty.
  • Ineffective counterinsurgency practices, such as arresting supporters on false charges and relying on unpopular local informants, can actively facilitate rebel mobilization by creating grievances.
  • A global analysis of conflict onset locations indicates that areas with forested and mountainous terrain have a higher risk of conflict onset, supporting politico-military opportunity theories.
  • In the least developed countries, the data suggests a counter-intuitive pattern where wealthier areas may see a higher likelihood of conflict onset, possibly because the state's capacity is so low that rebels do not need to hide in inaccessible areas.

Cite the original document

APA
Holtermann, H. (2013). Economic Development, Rebel Mobilization, and Civil War Onset. Peace Research Institute Oslo. https://cdn.cloud.prio.org/files/56777819-d3f7-4aa5-88d8-e19d9662ade2/Economic Development Rebel Mobilization and Civil War Onset.pdf?inline=true
Chicago
Holtermann, Helge. Economic Development, Rebel Mobilization, and Civil War Onset. Peace Research Institute Oslo, 2013. https://cdn.cloud.prio.org/files/56777819-d3f7-4aa5-88d8-e19d9662ade2/Economic Development Rebel Mobilization and Civil War Onset.pdf?inline=true.
Wikipedia
{{cite report |last1=Holtermann |first1=Helge |title=Economic Development, Rebel Mobilization, and Civil War Onset |publisher=Peace Research Institute Oslo |date=January 2013 |url=https://cdn.cloud.prio.org/files/56777819-d3f7-4aa5-88d8-e19d9662ade2/Economic Development Rebel Mobilization and Civil War Onset.pdf?inline=true |access-date=23 October 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{holtermann2013economic, author = {Holtermann, Helge}, title = {{Economic Development, Rebel Mobilization, and Civil War Onset}}, institution = {Peace Research Institute Oslo}, year = {2013}, month = jan, url = {https://cdn.cloud.prio.org/files/56777819-d3f7-4aa5-88d8-e19d9662ade2/Economic Development Rebel Mobilization and Civil War Onset.pdf?inline=true}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }

Full text

Collected · Record updated