Abstract
This paper aims to show how international trade influences and shapes international relations and world politics. Trade as one form of intercourse between nations are conditioned by the interaction of different bevioral variables commonly differentiating countries from one another, e.g., cultural, ideological orientation, common affiliation in international organizations, and geographical proximity. The degree to which these variables influence international trade in a certain time segment develops long-term markets, preferences, and relations between nations and this phenomenom is used in formulating a taxonomy of grouping between nations. Using the computer, Brown’s trade intensity index, multidimensional scaling, and cluster analysis are applied to the 1975 and 1978 data on international trade released by the United Nations to map out grouping of nations on an Euclidean space. Mapping in an Euclidean space is intended to simplify the visualization of the multidimensional results of analyses.
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