[1] Zha Yong, Liang Nannan, Wu Maoguo, et al. Efficiency evaluation of banks in China: a dynamic two-stage slacks-based measure approach[J]. Omega, 2016, 60: 60-72. [2] Liu Xiaohong, Yang Feng, Wu Jie. DEA considering technological heterogeneity and intermediate output target setting: the performance analysis of Chinese commercial banks[J]. Annals of Operations Research, 2020, 291: 605-626. [3] 徐涛, 尤建新, 邵一磊. 风险视角下银行产品创新绩效评价模型[J]. 中国管理科学, 2021, 29(6): 36-47.Xu Tao, You Jianxin, Shao Yilei. Commercial bank product innovation performance evaluation model considering risk impact[J]. Chinese Journal of Management Science, 2021, 29(6): 36-47. [4] 夏琼,杨峰,吴华清.“三重底线”下中国商业银行经营效率及其影响因素分析[J]. 中国管理科学, 2019,27(8): 26-36.Xia Qiong, Yang Feng, Wu Huaqing. The operational efficiency and analysis of influencing factors of Chinese commercial bank: perspective of “triple bottom line”[J]. Chinese Journal of Management Science,2019,27(8):26-36. [5] Ariff M, Luc C. Cost and profit efficiency of Chinese banks: a non-parametric analysis[J]. China Economic Review, 2008, 19(2): 260-273. [6] Kao C, Hwang S N. Efficiency decomposition in two-stage data envelopment analysis: an application to non-life insurance companies in Taiwan[J]. European Journal of Operational Research, 2008, 185(1): 418-429. [7] Wang Ke, Huang Wei, Wu Jie, et al. Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA[J]. Omega, 2014, 44: 5-20. [8] An Qingxian, Chen Haoxun, Wu Jie, et al. Measuring slacks-based efficiency for commercial banks in China by using a two-stage DEA model with undesirable output[J]. Annals of Operations Research, 2015, 235(1): 13-35. [9] 薛凯丽,范建平,匡海波,等.基于两阶段交叉效率模型的中国商业银行效率评价[J]. 中国管理科学, 2021, 29(10): 23-34.Xue Kaili, Fan Jianping, Kuang Haibo, et al. Efficiency evaluation of china commercial banks based on two-stage cross efficiency model[J]. Chinese Journal of Management Science, 2021, 29(10): 23-34. [10] 李峰,朱平,梁樑,等.基于最近距离投影的DEA两阶段效率评价方法研究[J].中国管理科学,2022,30(10):198-209.Li Feng, Zhu Ping, Liang Liang, et al. A two-stage DEA efficiency evaluation approach based on closest targets[J]. Chinese Journal of Management Science, 2022, 30(10): 198-209. [11] Fukuyama H, Weber W L. A slacks-based inefficiency measure for a two-stage system with bad outputs[J]. Omega, 2010, 38(5): 398-409. [12] Ebrahimnejad A, Tavana M, Lotfi F H, et al. A three-stage data envelopment analysis model with application to banking industry[J]. Measurement, 2014, 49: 308-319. [13] Liu Xiaohong, Sun Jiasen, Yang Feng, et al. How ownership structure affects bank deposits and loan efficiencies: an empirical analysis of Chinese commercial banks[J]. Annals of Operations Research, 2020, 290(1): 983-1008. [14] 段永瑞, 景一方, 李贵萍. 基于两阶段DEA方法的中国商业银行效率评价[J]. 运筹与管理, 2019, 28(2): 118-125.Duan Yongrui, Jing Yifang, Li Guiping. Chinese commercial bank efficiency evaluation based on two-stage DEA[J]. Operations Research and Management Science, 2019, 28(2): 118-125. [15] Kao C. Dynamic data envelopment analysis: a relational analysis[J]. European Journal of Operational Research, 2013, 227(2): 325-330. [16] Chen Kaihua, Kou Mingting, Fu Xiaolan. Evaluation of multi-period regional R&D efficiency: an application of dynamic DEA to China's regional R&D systems[J]. Omega, 2018, 74(74): 103-114. [17] Zhou Xiaoyang, Wang Ying, Chai Jian, et al. Sustainable supply chain evaluation: a dynamic double frontier network DEA model with interval type-2 fuzzy data[J]. Information Sciences, 2019, 504: 394-421. [18] Fukuyama H, Weber W L. Measuring Japanese bank performance: a dynamic network DEA approach[J]. Journal of Productivity Analysis, 2015, 44(3): 249-264. [19] Tavana M, Izadikhah M, Di Caprio D, et al. A new dynamic range directional measure for two-stage data envelopment analysis models with negative data[J]. Computers & Industrial Engineering, 2018, 115: 427-448. [20] Zhou Xiaoyang, Xu Zhongwen, Chai Jian, et al. Efficiency evaluation for banking systems under uncertainty: a multi-period three-stage DEA model[J]. Omega, 2019, 85: 68-82. [21] 谭涛, 吴江, 王旻轲,等.“21世纪海上丝绸之路”沿线国家商业银行效率研究[J].数量经济技术经济研究,2020,37(5):60-77.Tan Tao, Wu Jiang, Wang Minke, et al. Research on the efficiency of commercial banks in countries along the “21st century maritime silk road”[J]. Journal of Quantitative & Technical Economics, 2020, 37(5): 60-77. [22] Shi Xiao, Li Yongjun, Emrouznejad A, et al. Estimation of potential gains from bank mergers: a novel two-stage cost efficiency DEA model[J]. Journal of the Operational Research Society, 2017, 68(9): 1045-1055. [23] 李双杰, 高岩. 银行效率实证研究的投入产出指标选择[J].数量经济技术经济研究, 2014, 31(4): 130-144.Li Shuangjie, Gao Yan. Input-output indicator selection in the empirical study of bank efficiency[J]. Journal of Quantitative & Technical Economics, 2014, 31(4): 130-144. [24] 王美强, 李勇军. 具有双重角色和非期望要素的供应商评价两阶段DEA模型[J]. 中国管理科学, 2016, 24(12): 91-97.Wang Meiqiang, Li Yongjun. A two-stage DEA model for evaluation of supplier with dual-role and undesirable output factor[J]. Chinese Journal of Management Science, 2016, 24(12): 91-97. [25] Kao C. Efficiency decomposition in network data envelopment analysis with slacks-based measures[J]. Omega, 2014, 45(3): 949-962. [26] Kao C. A classification of slacks-based efficiency measures in network data envelopment analysis with an analysis of the properties possessed[J]. European Journal of Operational Research, 2018, 270(3):1109-1121. [27] Liu Hongwei, Zhang Yang, Zhu Qingyuan, et al. Environmental efficiency of land transportation in China: a parallel slack-based measure for regional and temporal analysis[J]. Journal of Cleaner Production, 2017, 142: 867-876. [28] Tone K, Tsutsui M. Dynamic DEA: a slacks-based measure approach[J]. Omega, 2010, 38(3): 145-156. [29] Tone K, Tsutsui M. Network DEA: a slacks-based measure approach[J]. European Journal of Operational Research, 2009, 197(1): 243-252. [30] Tone K, Tsutsui M. Dynamic DEA with network structure: a slacks-based measure approach[J]. Omega, 2014, 42(1): 124-131.
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