DEA/Assurance Region SBDC Efficiency and Unique Projections

R. G. Thompson, P. S. Dharmapala, E. J. Gatewood, S. Macy and R. M. Thrall
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R. G. Thompson: University of Houston, Houston, Texas
P. S. Dharmapala: OPCON Corporation, Houston, Texas
E. J. Gatewood: University of Houston Small Business Development Center, Houston, Texas
S. Macy: University of Houston Small Business Development Center, Houston, Texas
R. M. Thrall: Rice University, Houston, Texas

Operations Research, 1996, vol. 44, issue 4, 533-542

Abstract: The University of Houston (UH) Small Business Development Centers (SBDCs) were analyzed by Data Envelopment Analysis (DEA) and Assurance Region (AR) methods. The DEA/AR analyses were made for 11 DMUs in 1990 and 1991 and for 13 DMUs in 1992. The DEA ratio (CCR) method was applied to Model I in all three years; unique optimal solutions to the DEA-inefficient DMUs were verified. Also, ARs were applied to eliminate some DEA-efficient DMUs requiring unreasonable multipliers to maximize efficiency. In addition, measures of returns-to-scale (RTS) intervals from application of the DEA convex (BCC) method in 1992 showed several additional DEA-efficient DMUs needed some additional funds to work toward the most productive scale size.

Keywords: organizational studies; productivity; leadership; planning; government; finance; management (search for similar items in EconPapers)
Date: 1996
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