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	Territorial Conflict Analysis	Militarized Interstate Dispute Analysis
分野	International Relations	International Relations
系統	Process / pipeline	Process / pipeline
提唱年	2001	1996
提唱者	Territorial-explanation-of-war program (John Vasquez; Paul Huth)	Daniel Jones, Stuart Bremer & J. David Singer (Correlates of War project)
種類	Observational analysis of disputed-issue type and war	Coding and statistical analysis of interstate militarized confrontations
原典	Vasquez, J., & Henehan, M. T. (2001). Territorial disputes and the probability of war, 1816–1992. Journal of Peace Research, 38(2), 123–138.	Jones, D. M., Bremer, S. A., & Singer, J. D. (1996). Militarized interstate disputes, 1816–1992: Rationale, coding rules, and empirical patterns. Conflict Management and Peace Science, 15(2), 163–213.
別名	Territorial Dispute Analysis, Territorial Explanation of War, Territory and Conflict Analysis, Border Dispute Analysis	MID Analysis, Militarized Dispute Coding, Correlates of War Dispute Analysis, Dyadic Conflict Onset Analysis
関連	3	3
概要	Territorial conflict analysis tests the proposition — central to the 'territorial explanation of war' — that what states fight over matters, and that disputes over territory are especially war-prone. Vasquez and Henehan (2001) operationalize this by coding disputes for the issue at stake (territory, policy, regime) and comparing how often each type escalates to war. The consistent finding that territorial disputes are more likely to lead to war than other kinds reframes the study of conflict around the contested issue rather than only the attributes of the disputants.	Militarized interstate dispute (MID) analysis is the coding and quantitative study of confrontations in which one state threatens, displays, or uses military force against another. Built on the Correlates of War project's MID dataset and the coding rules codified by Jones, Bremer, and Singer (1996), it provides the standard observational measure of interstate conflict short of and including war, structured as dyad-years so that the onset, escalation, and outcomes of disputes can be modeled statistically across two centuries of the international system.