MODELING INPUT ALLOCATIVE EFFICIENCY VIA DISTANCE AND QUASI-DISTANCE FUNCTIONS

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概要

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• Data envelopment analysis (DEA) is an important analytical tool for estimating the technical efficiency of decision-making units However, input allocative efficiency is less frequently investigated in the DEA framework because the measure of input allocative efficiency-derived as the ratio of cost efficiency to Farrell input technical efficiency-may be biased because of slack in the constraints that define the technology or because of differences in input prices paid by firms. We extend the DEA methodology by proposing a new measure of input allocative efficiency based on the direct and indirect output quasi-distance functions An empirical illustration of the new and existing methods for measuring input allocative efficiency is offered for a sample of U.S. banks operating in 1994-95

• 社団法人日本オペレーションズ・リサーチ学会の論文

著者

• Weber William

  Southeast Missouri State University

• Fukuyama Hirofumi

  Fukuoka University

関連論文

• MODELING INPUT ALLOCATIVE EFFICIENCY VIA DISTANCE AND QUASI-DISTANCE FUNCTIONS
• OUTPUT SLACKS-ADJUSTED COST EFFICIENCY AND VALUE-BASED TECHNICAL EFFICIENCY IN DEA MODELS(Operations Research for Performance Evaluation)

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