Scott Gates

The Geography of Civil War

Geographical factors play a critical role in determining how a civil war is fought and who will prevail. Drawing on the PRIO/Uppsala Armed Conflict dataset covering the period 1946-2000, the authors have determined the location of all battle-zones for all civil wars in this time period, thereby identifying the geographic extent and the center point of each conflict. Using ordinary least squares (OLS) and three-stage least squares (3SLS) estimation techniques, factors are analyzed that determine the scope of the conflict (area of the conflict zone) and the location of the conflict relative to the capital. It is found that in addition to geographical factors such as the total land area of the country, scope is strongly shaped by such factors as the adjacencies of a border of a neighboring country, the incidence of natural resources in the conflict zone, and the duration of the conflict. The distance of the conflict zone from the capital is influenced by the scope of the conflict, the size of the country, whether or not the objective of the rebels is to secede, and whether or not the rebel group has a religious or ethnic identity. Also, evidence is found of an endogenous relationship between scope and location.

Recruitment and Allegiance

Civil war is fought between two political organizations, the state and a rebel group. Myriad theories of civil war have examined the role of state institutions and state strength, but little attention has been devoted to theorizing about rebel organizations themselves. The organizational structure of rebel groups is examined to understand patterns of recruitment and allegiance. Drawing on principal-agent analysis of participation and incentive compatibility constraints and the analytical tradition of rent-seeking contests, a model is developed to demonstrate that three factors—geography, ethnicity, and ideology—play an important role in determining military success, deterring defection within the rebel group, and shaping recruitment.

Spatial-Horizontal Inequality and the Maoist Insurgency in Nepal

The Maoist insurgency in Nepal is one of the highest intensity internal conflicts in recent times. Investigation into the causes of the conflict would suggest that grievance rather than greed is the main motivating force. The concept of horizontal or intergroup inequality, with both an ethnic and caste dimension, is highly relevant in explaining the Nepalese civil war. There is also a spatial aspect to the conflict, which is most intense in the most disadvantaged areas in terms of human development indicators and land holdings. Using the intensity of conflict (fatalities) as the dependent variable and HDI indicators and landlessness as explanatory variables, the authors find that the intensity of conflict across the districts of Nepal is significantly explained by the degree of inequalities.

Geography, Rebel Capability, and the Duration of Civil Conflict

Why do some armed civil conflicts last longer than others? Drawing on a contest success function model, we show that geographic factors (such as location, terrain, and natural resources) interact with rebel fighting capacity and together play a crucial role in determining the duration of conflict. Using precisely dated duration data in event history models and geographic data for the conflict location, we find that conflicts located at considerable distance from the main government stronghold, along remote international borders and in regions with valuable minerals last substantially longer. In addition, we find that rebel military capacity in its own right increases the prospects of a civil conflict ending within a short time period. Our findings imply that the distances an army must travel to project power, rebel fighting capacity, and characteristics of conflict region affect how a civil war is fought and who will prevail.

Evolution in Democracy-War Dynamics

This article explores the evolutionary and endogenous relationship between democracy and war at the system level. Building on Kant, the authors argue that the rules and norms of behavior within and between democracies become more prevalent in international relations as the number of democracies in the system increases. The authors use Kalman filter analysis, which allows for the parameters in the models to vary over time. The results support the propositions that democratization tends to follow war, that democratization decreases the systemic amount of war, and that the substantive and pacific impact of democracy on war increases over time.

Donut Shops and Speed Traps: Evaluating Models of Supervision on Police Behavior

Several recent articles outline the formal logic of supervision and compliance (e.g., Bianco and Bates 1990; Holmstrom 1982; Kreps 1990; and Miller 1992). These models lead to widely varying conclusions about what makes for effective supervision, indeed, whether supervision can induce compliance among subordinates at all. Our paper evaluates these models by extending the formal logic into models of the systemic component of the stochastic processes of police behavior. In other words, when is it time to lay a speed trap, and when is it time to go to the donut shop?

Timing the Changes in Political Structures A new Polity Database

This article introduces the Polity IIId (“d” is for dates) data set. The Polity IIId project codes the precise dates of changes in political structure identified by Polity III for all independent countries in the international system from 1800 to 1994. By moving from annual measurements of authority and polity characteristics, the Polity IIId data are more appropriate for event-based analysis. The authors discuss the implications of the new data set for event count and event history models of democracy and war, democratization and war, regime type and civil war, and causes of change in political structure.

African range wars: Climate, conflict, and property rights

This article examines the effect of climate change on a type of armed conflict that pits pastoralists (cattle herders) against each other (range wars). Such conflicts are typically fought over water rights and/or grazing rights to unfenced/unowned land. The state is rarely involved directly. The rangeland of East Africa is a region particularly vulnerable to drought and livestock diseases associated with climate change. To analyze the possible effects of climate change on pastoral conflict, we focus our analysis on changes in resource availability, contrasting cases of abundance and scarcity. The role of resources is further contextualized by competing notions of property rights, and the role of the state in defining property and associated rights. We employ a contest success function (CSF) game-theoretic model to analyze the logic of range wars. This CSF approach emphasizes the low-level, non-binary nature of raiding behavior between pastoralist groups over limited natural resources. A central contribution of this approach is that the logic of raiding behavior implies a positive relationship between resources and conflict. This positive relationship is supported by several studies of the rangeland of East Africa, but is generally dismissed by the literature on the ‘resource curse’. This relationship is contingent on other factors examined in the model, producing the following results. First, the level of property rights protection provided by the state generally reduces conflict between pastoralist groups. Second, if property rights protection is provided in a biased manner, then conflict between pastoralist groups increases. Third, severe resource asymmetries between two pastoralist groups will induce the poorer group to become bandits (focusing their efforts on raiding and not producing), while the richer group raids in retaliation.

All Conflict is Local

Most quantitative assessments of civil conflict draw on annual country-level data to determine a baseline hazard of conflict onset. The first problem with such analyses is that they ignore factors associated with the precipitation of violence, such as elections and natural disasters and other trigger mechanisms. Given that baseline hazards are relatively static, most of the temporal variation in risk is associated with such precipitating factors. The second problem with most quantitative analyses of conflict is that they assume that civil conflicts are distributed uniformly throughout the country. This is rarely the case; most intrastate armed conflicts take place in the periphery of the country, well away from the capital and often along international borders. Analysts fail to disaggregate temporally as well as spatially. While other contributions to this issue focus on the temporal aspect of conflict, this article addresses the second issue: the spatial resolution of analysis. To adequately assess the baseline risk of armed conflict, this article develops a unified prediction model that combines a quantitative assessment of conflict risk at the country level with country-specific sub-national analyses at first-order administrative regions. Geo-referenced data on aspects of social, economic, and political exclusion, as well as endemic poverty and physical geography, are featured as the principal local indicators of latent conflict. Using Asia as a test case, this article demonstrates the unique contribution of applying a localized approach to conflict prediction that explicitly captures sub-national variation in civil conflict risk.

Armed conflict and post-conflict justice, 1946–2006 A dataset

This article introduces a new dataset on post-conflict justice (PCJ) that provides an overview of if, where, and how post-conflict countries address the wrongdoings committed in association with previous armed conflict. Motivated by the literature on post-conflict peacebuilding, we study justice processes during post-conflict transitions. We examine: which countries choose to implement PCJ; where PCJ is implemented; and which measures are taken in post-conflict societies to address past abuse. Featuring justice and accountability processes, our dataset focuses solely on possible options to address wrongdoings that are implemented following and relating to a given armed conflict. These data allow scholars to address hypotheses regarding justice following war and the effect that these institutions have on transitions to peace. This new dataset includes all extrasystemic, internationalized internal, and internal armed conflicts from 1946 to 2006, with at least 25 annual battle-related deaths as coded by the UCDP/PRIO Armed Conflict Dataset. The post-conflict justice (PCJ) efforts included are: trials, truth commissions, reparations, amnesties, purges, and exiles. By building upon the UCDP/PRIO Armed Conflict Dataset, scholars interested in PCJ can include variables regarding the nature of the conflict itself to test how PCJ arrangements work in different environments in order to better address the relationships between justice, truth, and peace in the post-conflict period.