Profit maximization: The ethical mandate of business

The authors propose a model for business ethics which arises directly from business practice. This model is based on a behavioral definition of the economic theory of profit maximization and situates business ethics within opportunity costs. Within that context, they argue that good business and good ethics are synonymous, that ethics is at the heart and center of business, that profits and ethics are intrinsically related.Marist Father Pat Primeaux is a Professor of Theology at Saint John's University, (New York). John Stieber is a Professor of Finance and Economics at Southern Methodist University's Edwin L. Cox School of Business (Dallas). They have collaborated on several articles on the behavioral dimension of economic efficiency. They have also designed and taught courses in business ethics at both the graduate and undergraduate level.     

The local economic impact of construction projects in a small and relatively self-contained economy: The case of Lancaster University

Whilst the local multiplier impacts of the annual operation of universities has been the subject of intensive research, the economic impacts of capital construction projects have been almost completely ignored. This paper presents the results of detailed analysis of capital projects at Lancaster University in 1993-The reasons for the radically different annual operation and construction multipliers estimated in the Lancaster study are examined. Despite the smaller size of construction multipliers it is argued that it is a serious mistake to estimate local construction multipliers by making simplifying assumptions on the size of the key parameters in the multiplier equations.     

THE LOCATION OF NONMETROPOLITAN HIGH-TECH INDUSTRIES: A Comparison of Regional Determinants

A study of the location of three classifications of high-tech industries in rural areas was undertaken using ordinary least squares, Tobit, and a two-step estimation procedure suggested by Heckman (1976). The results indicate that the location decision for high tech firms is influenced primarily by the county population, adjacency to an SMSA, and the expenditures on public infrastructure (exclusive of education expenditures). However, location near interstate highways was generally not a significant factor. Results were similar between branch and unit (single ownership) plants. Some differences in signs of orders of magnitude occurred among the estimation procedures. Making a choice between Tobit and Heckman approaches depends upon the goal of the research.