Title: Maximum resolution dichotomy for investment climate indicators

Authors: James K. Ho

Addresses: Information and Decision Sciences, College of Business Administration, University of Illinois at Chicago, Chicago, IL 60091, USA

Abstract: The Investment Climate Surveys conducted by the World Bank measure specific constraints facing firms in over 50 countries, and relate them to measures of firm performance, growth and investment. As an additional tool for exploratory data analysis of business environments, a new methodology in data mining is presented to extend the use of graphical visualisation of the Investment Climate Indicators (ICI). By casting ICI as a multi-attribute dichotomy, a maximum resolution topology is derived to classify countries as to whether the investment climate is constrained primarily by policies or by resources.

Keywords: data mining; data visualisation; exploratory data analysis; investment climate indicators; multi-attribute dichotomies; business environment; constraints; performance; growth.

DOI: 10.1504/IJBE.2006.010132

International Journal of Business Environment, 2006 Vol.1 No.1, pp.126 - 135

Published online: 22 Jun 2006 *

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