The Experts below are selected from a list of 67872 Experts worldwide ranked by ideXlab platform
Peng Zhou - One of the best experts on this subject based on the ideXlab platform.
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a survey of Data Envelopment Analysis in energy and environmental studies
European Journal of Operational Research, 2008Co-Authors: Peng ZhouAbstract:Data Envelopment Analysis has gained great popularity in energy and environmental (E&E) modeling in recent years. In this paper, we present a literature survey on the application of Data Envelopment Analysis (DEA) to E&E studies. We begin with an introduction to the most widely used DEA techniques, which is followed by a classification of 100 publications in this field. The main features observed are summarized. Issues related to the selection of DEA models in E&E studies are discussed.
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A survey of Data Envelopment Analysis in energy and environmental studies
European Journal of Operational Research, 2008Co-Authors: Peng Zhou, B.w. Ang, Kim-leng PohAbstract:Data Envelopment Analysis has gained great popularity in energy and environmental (E&E) modeling in recent years. In this paper, we present a literature survey on the application of Data Envelopment Analysis (DEA) to E&E studies. We begin with an introduction to the most widely used DEA techniques, which is followed by a classification of 100 publications in this field. The main features observed are summarized. Issues related to the selection of DEA models in E&E studies are discussed.
Zuzana Irsova - One of the best experts on this subject based on the ideXlab platform.
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Determinants of Bank Performance in Transition Countries: A Data Envelopment Analysis
Transition Studies Review, 2013Co-Authors: Tomas Havranek, Zuzana IrsovaAbstract:We analyze what drives bank efficiency in the transition countries of Central Europe and compare the results with those for the United States. This paper is one of the few that use Data Envelopment Analysis for the computation of efficiency scores in transition countries, and, to our knowledge, it is the first to explore systematically how different specifications of Data Envelopment Analysis affect the results. Our findings corroborate the common wisdom that foreign-owned banks operating in transition countries are more efficient than domestic banks. While in the United States large banks are in general more efficient, the result for transition countries depends on the design of Data Envelopment Analysis.
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Determinants of Bank Performance in Transition Countries: A Data Envelopment Analysis
Transition Studies Review, 2013Co-Authors: Tomas Havranek, Zuzana IrsovaAbstract:We analyze what drives bank efficiency in the transition countries of Central Europe and compare the results with those for the United States. This paper is one of the few that use Data Envelopment Analysis for the computation of efficiency scores in transition countries, and, to our knowledge, it is the first to explore systematically how different specifications of Data Envelopment Analysis affect the results. Our findings corroborate the common wisdom that foreign-owned banks operating in transition countries are more efficient than domestic banks. While in the United States large banks are in general more efficient, the result for transition countries depends on the design of Data Envelopment Analysis. Copyright CEEUN 2013
Tomas Havranek - One of the best experts on this subject based on the ideXlab platform.
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Determinants of Bank Performance in Transition Countries: A Data Envelopment Analysis
Transition Studies Review, 2013Co-Authors: Tomas Havranek, Zuzana IrsovaAbstract:We analyze what drives bank efficiency in the transition countries of Central Europe and compare the results with those for the United States. This paper is one of the few that use Data Envelopment Analysis for the computation of efficiency scores in transition countries, and, to our knowledge, it is the first to explore systematically how different specifications of Data Envelopment Analysis affect the results. Our findings corroborate the common wisdom that foreign-owned banks operating in transition countries are more efficient than domestic banks. While in the United States large banks are in general more efficient, the result for transition countries depends on the design of Data Envelopment Analysis.
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Determinants of Bank Performance in Transition Countries: A Data Envelopment Analysis
Transition Studies Review, 2013Co-Authors: Tomas Havranek, Zuzana IrsovaAbstract:We analyze what drives bank efficiency in the transition countries of Central Europe and compare the results with those for the United States. This paper is one of the few that use Data Envelopment Analysis for the computation of efficiency scores in transition countries, and, to our knowledge, it is the first to explore systematically how different specifications of Data Envelopment Analysis affect the results. Our findings corroborate the common wisdom that foreign-owned banks operating in transition countries are more efficient than domestic banks. While in the United States large banks are in general more efficient, the result for transition countries depends on the design of Data Envelopment Analysis. Copyright CEEUN 2013
Khodabakhshim. - One of the best experts on this subject based on the ideXlab platform.
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Super-efficiency in stochastic Data Envelopment Analysis
Journal of Computational and Applied Mathematics, 2011Co-Authors: Khodabakhshim.Abstract:This paper addresses super-efficiency issue based on input relaxation model in stochastic Data Envelopment Analysis. The proposed model is not limited to using the input amounts of evaluating DMU, ...
Niels Christian Petersen - One of the best experts on this subject based on the ideXlab platform.
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Stochastic Data Envelopment Analysis—A review
European Journal of Operational Research, 2016Co-Authors: Ole Bent Olesen, Niels Christian PetersenAbstract:This paper provides a review of stochastic Data Envelopment Analysis (DEA). We discuss extensions of deterministic DEA in three directions: (i) deviations from the deterministic frontier are modeled as stochastic variables, (ii) random noise in terms of measurement errors, sample noise, and specification errors is made an integral part of the model, and (iii) the frontier is stochastic as is the underlying Production Possibility Set (PPS).
