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Characterizing an equitable allocation of shared costs: A DEA approach
Institution:1. Decision Science Institute, School of Economics & Management, Fuzhou University, Fuzhou 350116, PR China;2. Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350116, PR China;1. School of Management, University of Science and Technology of China, Hefei 230026, PR China;2. School of Management, Guizhou University, Guiyang 550025, PR China;1. School of Business, Central South University, Changsha 410083, PR China;2. School of Economics, Hefei University of Technology, Hefei 230009, PR China;3. School of Business Administration, Northeastern University, Shenyang 110169, PR China;1. The School of Management, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China;2. School of Economics, Hefei University of Technology, Hefei, Anhui 230009, P.R. China;3. IESEG School of Management, Socle de la Grande Arche, 1 Parvis de La Défense, 92044 Paris La Défense cedex, France;4. LEM-CNRS 9221, Université de Lille, 59655 Villeneuve D''Ascq, France
Abstract:In many applications to which DEA could be applied, there is often a fixed or common cost which is imposed on all decision making units. This would be the case, for example, for branches of a bank which can be accessed via the numerous automatic teller machines scattered throughout the country. A problem arises as to how this cost can be assigned in an equitable way to the various DMUs. In this paper we propose a DEA approach to obtain this cost allocation which is based on two principles: invariance and pareto-minimality. It is shown that the proposed method is a natural extension of the simple one-dimensional problem to the general multiple-input multiple-output case.
Keywords:
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