1996Management ScienceRequires access

DEA on Relaxed Convexity Assumptions

Peter Bogetoft

Open publisher page 141 citations

Abstract

In a recent paper, Petersen (Petersen, N. C. 1990. Data envelopment analysis on a relaxed set of assumptions. Management Sci. 36 305–314.) proposed to relax the convexity assumptions invoked in traditional Data Envelopment Analysis (DEA). Unfortunately, the new approach is not consistent with the relaxed assumptions. Also, the efficiency evaluations in input and output spaces are based on different technologies assumptions. The aim of this paper is to clarify which assumptions are actually involved and to develop modifications such that the input and output based measures are consistent. In effect, a family of DEA methods based on relaxed convexity assumptions is identified.

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What this paper is about

In a recent paper, Petersen (Petersen, N. C. 1990. Data envelopment analysis on a relaxed set of assumptions. Management Sci. 36 305–314.) proposed to relax the convexity assumptions invoked in traditional Data Envelopment Analysis (DEA). Unfortunately, the new approach is not consistent with the relaxed assumptions. Also, the efficiency evaluations in input and output spaces are based on different technologies assumptions. The aim of this paper is to clarify which assumptions are actually involved and to develop modifications such that the input and output based measures are consistent. In effect, a family of DEA methods based on relaxed convexity assumptions is identified.

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Available abstract

In a recent paper, Petersen (Petersen, N. C. 1990. Data envelopment analysis on a relaxed set of assumptions. Management Sci. 36 305–314.) proposed to relax the convexity assumptions invoked in traditional Data Envelopment Analysis (DEA). Unfortunately, the new approach is not consistent with the relaxed assumptions. Also, the efficiency evaluations in input and output spaces are based on different technologies assumptions. The aim of this paper is to clarify which assumptions are actually involved and to develop modifications such that the input and output based measures are consistent. In effect, a family of DEA methods based on relaxed convexity assumptions is identified.

Key concepts: Data envelopment analysis, Convexity, Set (abstract data type), Mathematical economics, Computer science, Econometrics, Economics, Mathematical optimization

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