Strategic groups based on marginal rates: An application to the Spanish banking industry |
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| Affiliation: | 1. Department of Business Economics, Universitat Autónoma de Barcelona, Bellaterra (Barcelona) 08193, Spain;2. Department of Business Administration, Universidad Carlos III de Madrid, Getafe (Madrid) 28903, Spain;1. Department of Engineering, Pharmacy Section, Miguel Hernandez University, Alicante, Spain;2. Department of Pharmacy and Pharmaceutical Technology, University of Valencia, Valencia, Spain;3. Department of Clinical Pharmacology, School of Pharmacy, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel;4. Molecular Recognition and Technological Development, Polytechnic University, University of Valencia, Valencia, Spain;1. University of Glasgow, UK;2. University of Strathclyde, Glasgow, UK;1. Universitat de les Illes Balears, Spain;2. Banco de España, Spain;3. Universidad de Zaragoza, Spain;1. Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL 68101, USA;2. Department of Food Science and Nutrition, Dankook University, Yongin-si 448-701, Republic of Korea;3. Natural Nutraceuticals Industrialization Research Center, Dankook University, Cheonan-si 330-714, Republic of Korea;1. Aalborg University, Fibigerstraede 11, 9220 Aalborg, Denmark and Høgskolen i Innlandet, Rena Campus, Norway;2. Jönköping International Business School, P.O. Box 1026, SE-551 11 Jönköping, Sweden;3. Gothenburg Research Institute, Sweden;4. Kobe University, Graduate School of Business Administration, Rokkodai 2-1, Nada, Kobe 657-8501, Japan |
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| Abstract: | ![]()
This paper uses Data Envelopment Analysis (DEA) to identify strategic groups (SGs) in the Spanish banking industry. The concept of SG relies on the fact that firms grouped together value inputs and outputs in the same way. As such, they take identical direction when, due to external influences, changes are required. Weights obtained from DEA are extremely useful in the valuation of inputs and outputs. Specifically, by comparing DEA weights pair-wise, i.e. quantifying the variables’ marginal rates (MR), we can obtain a very good representation of the existent trade-off and the relative importance of the two variables.The paper uses MRs obtained through DEA models and, simultaneously, proposes feasible ways to overcome two usual problems with DEA virtual weights, namely: (1) the multiplicity of weights for efficient DMUs; and (2) the inexistence of dual variables for inefficient DMUs.From the empirical point of view, once the MRs are determined, the second stage is to perform Cluster Analysis. We apply Cluster Analysis in two ways: (1) on the basis of the MRs; and (2) following the traditional application by running Cluster Analysis with the original variables. The results obtained show the advantages of using MRs instead of the standard application of Cluster Analysis.Summing up, the concept of SG is reinforced if we use refined methods to determine the existence of SGs. The results of the application of DEA models to observe the presence of SG in the Spanish banking industry offer interesting views on it. |
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