Good Fences: The Importance of Setting Boundaries for Peaceful Coexistence
14 Pages Posted: 13 Oct 2011
Date Written: October 6, 2011
We consider the conditions of peace and violence among ethnic groups, testing a theory designed to predict the locations of violence and interventions that can promote peace. Characterizing the model’s success in predicting peace requires examples where peace prevails despite diversity. Switzerland is recognized as a country of peace, stability and prosperity. This is surprising because of its linguistic and religious diversity that in other parts of the world lead to conﬂict and violence. Here we analyze how peaceful stability is maintained. Our analysis shows that peace does not depend on integrated coexistence, but rather on well deﬁned topographical and political boundaries separating groups. Mountains and lakes are an important part of the boundaries between sharply deﬁned linguistic areas. Political canton and circle (sub-canton) boundaries often separate religious groups. Where such boundaries do not appear to be sufficient, we ﬁnd that speciﬁc aspects of the population distribution either guarantee sufficient separation or sufficient mixing to inhibit intergroup violence according to the quantitative theory of conﬂict. In exactly one region, a porous mountain range does not adequately separate linguistic groups and violent conﬂict has led to the recent creation of the canton of Jura. Our analysis supports the hypothesis that violence between groups can be inhibited by physical and political boundaries. A similar analysis of the area of the former Yugoslavia shows that during widespread ethnic violence existing political boundaries did not coincide with the boundaries of distinct groups, but peace prevailed in speciﬁc areas where they did coincide. The success of peace in Switzerland may serve as a model to resolve conﬂict in other ethnically diverse countries and regions of the world.
Keywords: Ethnic Conflict, Ethnic Violence, Ethnicity, Boundaries, Peace, Coexistence, Complexity, Complex Systems, Wavelet Filter
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