Population Size, Concentration, and Civil War [electronic resource] : A Geographically Disaggregated Analysis / Raleigh, Clionadh

By: Raleigh, ClionadhContributor(s): Hegre, Havard | Raleigh, ClionadhMaterial type: TextTextPublication details: Washington, D.C., The World Bank, 2007Description: 1 online resource (36 p.)Subject(s): Armed Conflict | Civil War | Conflict and Development | Health, Nutrition and Population | Internal conflicts | National level | Policy Research | Policy Research Working Paper | Population groups | Population Policies | Population Size | Post Conflict Reconstruction | Progress | Small countries | Social Conflict and Violence | Social DevelopmentAdditional physical formats: Raleigh, Clionadh.: Population Size, Concentration, and Civil War.Online resources: Click here to access online Abstract: Why do larger countries have more armed conflict? This paper surveys three sets of hypotheses forwarded in the conflict literature regarding the relationship between the size and location of population groups: Hypotheses based on pure population mass, on distances, on population concentrations, and some residual state-level characteristics. The hypotheses are tested on a new dataset-ACLED (Armed Conflict Location and Events Dataset)-which disaggregates internal conflicts into individual events. The analysis covers 14 countries in Central Africa. The conflict event data are juxtaposed with geographically disaggregated data on populations, distance to capitals, borders, and road networks. The paper develops a statistical method to analyze this type of data. The analysis confirms several of the hypotheses.
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Why do larger countries have more armed conflict? This paper surveys three sets of hypotheses forwarded in the conflict literature regarding the relationship between the size and location of population groups: Hypotheses based on pure population mass, on distances, on population concentrations, and some residual state-level characteristics. The hypotheses are tested on a new dataset-ACLED (Armed Conflict Location and Events Dataset)-which disaggregates internal conflicts into individual events. The analysis covers 14 countries in Central Africa. The conflict event data are juxtaposed with geographically disaggregated data on populations, distance to capitals, borders, and road networks. The paper develops a statistical method to analyze this type of data. The analysis confirms several of the hypotheses.

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