Efficiency evaluation for banking systems under uncertainty: A multi-period three-stage DEA model
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DOI: 10.1016/j.omega.2018.05.012
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- Wei-Hsin Kong & Tsu-Tan Fu & Ming-Miin Yu, 2017. "Evaluating Taiwanese Bank Efficiency Using the Two-Stage Range DEA Model," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1043-1068, July.
- Jie Wu & Yafei Yu & Qingyuan Zhu & Qingxian An & Liang Liang, 2018. "Closest target for the orientation-free context-dependent DEA under variable returns to scale," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(11), pages 1819-1833, November.
- Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015.
"How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium,"
Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
- Yan Alperovych & Georges Hübner & Fabrice Lobet, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Post-Print hal-02313248, HAL.
- Galagedera, Don U.A. & Roshdi, Israfil & Fukuyama, Hirofumi & Zhu, Joe, 2018. "A new network DEA model for mutual fund performance appraisal: An application to U.S. equity mutual funds," Omega, Elsevier, vol. 77(C), pages 168-179.
- Brian W. Jacobs & Richard Kraude & Sriram Narayanan, 2016. "Operational Productivity, Corporate Social Performance, Financial Performance, and Risk in Manufacturing Firms," Production and Operations Management, Production and Operations Management Society, vol. 25(12), pages 2065-2085, December.
- Chen, Kaihua & Kou, Mingting & Fu, Xiaolan, 2018. "Evaluation of multi-period regional R&D efficiency: An application of dynamic DEA to China's regional R&D systems," Omega, Elsevier, vol. 74(C), pages 103-114.
- Kaoru Tone & Miki Tsutsui, 2014. "Slacks-Based Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 231-259, Springer.
- Tsan-Ming Choi & T. C. E. Cheng & Xiande Zhao & Desheng Dash Wu & Cuicui Luo & Haofei Wang & John R. Birge, 2016. "Bi-level Programing Merger Evaluation and Application to Banking Operations," Production and Operations Management, Production and Operations Management Society, vol. 25(3), pages 498-515, March.
- Lorenzo Castelli & Raffaele Pesenti & Walter Ukovich, 2010. "A classification of DEA models when the internal structure of the Decision Making Units is considered," Annals of Operations Research, Springer, vol. 173(1), pages 207-235, January.
- Huang, Tai-Hsin & Lin, Chung-I & Chen, Kuan-Chen, 2017. "Evaluating efficiencies of Chinese commercial banks in the context of stochastic multistage technologies," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 93-110.
- Juo, Jia-Ching & Fu, Tsu-Tan & Yu, Ming-Miin & Lin, Yu-Hui, 2016. "Non-radial profit performance: An application to Taiwanese banks," Omega, Elsevier, vol. 65(C), pages 111-121.
- Azadi, Majid & Shabani, Amir & Khodakarami, Mohsen & Farzipoor Saen, Reza, 2015. "Reprint of “Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 74(C), pages 22-36.
- Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, vol. 157(1), pages 242-245, August.
- GHASEMI, M.R. & IGNATIUS, J. & LOZANO, S. & EMROUZNEJAD, A. & HATAMI-MARBINI, Adel, 2015. "A fuzzy expected value approach under generalized data envelopment analysis," LIDAM Reprints CORE 2716, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
- Chiou, Yu-Chiun & Lan, Lawrence W. & Yen, Barbara T.H., 2010. "A joint measurement of efficiency and effectiveness for non-storable commodities: Integrated data envelopment analysis approaches," European Journal of Operational Research, Elsevier, vol. 201(2), pages 477-489, March.
- Desheng Wu & Zhaoxin Zhou & John Birge, 2011. "Estimation of potential gains from mergers in multiple periods: a comparison of stochastic frontier analysis and Data Envelopment Analysis," Annals of Operations Research, Springer, vol. 186(1), pages 357-381, June.
- Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
- Akther, Syed & Fukuyama, Hirofumi & Weber, William L., 2013. "Estimating two-stage network Slacks-based inefficiency: An application to Bangladesh banking," Omega, Elsevier, vol. 41(1), pages 88-96.
- Chia-Hsuan Wu & Ching-Cheng Chang & Ken N. Kuo, 2008. "Evaluating the resource allocation efficiency of the healthcare system in Taiwan," International Journal of Public Policy, Inderscience Enterprises Ltd, vol. 3(5/6), pages 403-418.
- Ghahraman, Abaghan & Prior, Diego, 2016. "A learning ladder toward efficiency: Proposing network-based stepwise benchmark selection," Omega, Elsevier, vol. 63(C), pages 83-93.
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Keywords
Multi-period three-stage DEA; Banking system; Triangular type-2 fuzzy undesirable outputs; Shared inputs; Carryovers;All these keywords.
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