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DEA congestion and returns to scale under an occurrence of multiple optimal projections
Authors:Toshiyuki Sueyoshi  Kazuyuki Sekitani
Affiliation:1. New Mexico Institute of Mining and Technology, Department of Management, 801 Leroy Place, Socorro, NM 87801-4796, USA;2. National Cheng Kung University, College of Business, Department of Industrial and Information Management, Tainan, Taiwan;3. Shizuoka University, Department of Systems Engineering, Johoku 3-5-1, Hamamatsu, Shizuoka 432-8561, Japan
Abstract:Economic implications of congestion have been recently discussed in many DEA (data envelopment analysis) studies. In addition, several previous research efforts have explored a theoretical linkage between returns to scale (RTS) and the concept of congestion, because the two economic concepts are closely connected to each other. Tone and Sahoo [Tone, K., Sahoo, B.K., 2004. Degree of scale economies and congestion: A unified DEA approach. European Journal of Operational Research 158, 755–772] have published the theoretical linkage in this journal. All of the previous studies, including their research (2004), assume a unique optimal solution in the investigation on DEA-based congestion. When multiple solutions occur in DEA-based congestion measurement, the economic implications of congestion obtained from the previous research are all problematic from both theoretical and practical perspectives. To deal with the issue, this study explores how to deal with the occurrence of multiple solutions in the DEA-based congestion measurement. This study proposes a new approach for the congestion measurement and theoretically compares the proposed approach with Tone and Sahoo (2004).
Keywords:DEA   Congestion   Returns to scale
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