[1] 安庆贤,陈晓红,余亚飞,等. 基于DEA的两阶段系统中间产品公平设定研究[J]. 管理科学学报, 2017, 20(1): 32-40.An Qingxian, Chen Xiaohong, Yu Yafei, et al. Fair setting for intermediate products in two-stage system based on DEA[J]. Journal of Management Sciences in China, 2017, 20(1): 32-40. [2] 冯晨鹏,王慧玲,毕功兵.存在多种非期望产出的非径向零和收益DEA模型我国区域环境[J].中国管理科学, 2017, 25(10): 42-51.Feng Chenpeng, Wang Huiling, Bi Gongbing. Non-radial ZSG-DEA model with multiple undesirable outputs: An empirical study for regional environmental efficiencies in China[J]. Chinese Journal of Management Science, 2017, 25(10): 42-51. [3] 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 factors[J]. Chinese Journal of Management Science, 2016, 24(12): 91-97. [4] 谢建辉,李勇军,梁樑,等.随机环境下的多投入多产出生产前沿面估计[J]. 管理科学学报, 2018, 21(11): 50-60.Xie Jianhui, Li Yongjun, Liang Liang, et al. Estimation of multiple inputs and multiple outputs frontiers in stochastic environment[J]. Journal of Management Sciences in China, 2018, 21(11): 50-60. [5] An Qingxian, Pang Zhiqiang, Chen Haoxun, et al. Closest targets in environmental efficiency evaluation based on enhanced Russell measure[J]. Ecological Indicators, 2015, 51: 59-66. [6] Li Feng, Zhu Qingyuan, Chen Zhi. Allocating a fixed cost across the decision making units with two-stage network structures[J]. Omega, 2019, 83: 139-154. [7] Ruiz J, Sirvent I. Benchmarking within a DEA framework: Setting the closest targets and identifying peer groups with the most similar performances[J]. International Transactions in Operational Research, 2022, 29(1): 554-573. [8] Portela M, Borges P, Thanassoulis E. Finding closest targets in non-oriented DEA models: The case of convex and non-convex technologies[J]. Journal of Productivity Analysis, 2003, 19(2-3): 251-269. [9] Aparicio J, Ruiz J, Sirvent I. Closest targets and minimum distance to the Pareto-efficient frontier in DEA[J]. Journal of Productivity Analysis, 2007, 28(3): 209-218. [10] Aparicio J, Pastor J. A well-defined efficiency measure for dealing with closest targets in DEA[J]. Applied Mathematics and Computation, 2013, 219(17): 9142-9154. [11] Aparicio J, Pastor T. Closest targets and strong monotonicity on the strongly efficient frontier in DEA[J]. Omega, 2014, 44: 51-57. [12] Wu Jie, Yu Yafei, Zhu Qingyuan, et al. Closest target for the orientation-free context-dependent DEA under variable returns to scale[J]. Journal of the Operational Research Society, 2018, 69(11): 1819-1833. [13] Zhu Qingyuan, Wu Jie, Ji Xiang, et al. A simple MILP to determine closest targets in non-oriented DEA model satisfying strong monotonicity[J]. Omega, 2018, 79: 1-8. [14] Li Xingchen, Li Feng, Zhao Nenggui, et al. Measuring environmental sustainability performance of freight transportation seaports in China: A data envelopment analysis approach based on the closest targets[J]. Expert Systems, 2020, 37(4): e12334. [15] Razipour-GhalehJough S, Lotfi F, Jahanshahloo G, et al. Finding closest target for bank branches in the presence of weight restrictions using data envelopment analysis[J]. Annals of Operations Research, 2020, 288(2): 755-787. [16] Wu Jie, Chu Junfei, Liang Liang. Target setting and allocation of carbon emissions abatement based on DEA and closest target: An application to 20 APEC economies[J]. Natural Hazards, 2016, 84(1): 279-296. [17] Lozano S, Khezri S. Network DEA smallest improvement approach[J]. Omega, 2019,98: 102140. [18] Kao C,Hwang S. 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. [19] Chen Y, Cook W, Li Ning,et al. Additive efficiency decomposition in two-stage DEA[J]. European Journal of Operational Research, 2009, 196(3): 1170-1176. [20] Liang Liang, Cook W,Zhu J. DEA models for two-stage processes: Game approach and efficiency decomposition[J]. Naval Research Logistics (NRL), 2008, 55(7): 643-653. [21] Du Juan, Liang Liang, Chen Y, et al. A bargaining game model for measuring performance of two-stage network structures[J]. European Journal of Operational Research, 2011, 210(2): 390-397. [22] 查勇,梁樑,苟清龙,等.部分中间产出作为最终产品的两阶段合作效率[J]. 管理科学学报, 2011, 14(7):21-30.Zha Yong, Liang Liang, Gou Qinglong, et al. Two-stage cooperative efficiency evaluation with part of intermediate outputs as final products[J]. Journal of Management Sciences in China, 2011, 14(7): 21-30. [23] 陈磊,王应明,王亮.两阶段DEA分析框架下的环境效率测度与分解[J]. 系统工程理论与实践, 2016, 36(3): 642-649.Chen Lei, Wang Yingming, Wang Liang. Eco-efficiency measurement and decomposition in the two-stage DEA analysis framework[J]. Systems Engineering-Theory & Practice, 2016, 36(3): 642-649. [24] Cooper W, Park K, Pastor J. RAM: A range adjusted measure of inefficiency for use with additive models, and relations to other models and measures in DEA[J]. Journal of Productivity Analysis, 1999, 11(1): 5-42. [25] Banker R, Charnes A,Cooper W. Some models for estimating technical and scale inefficiencies in data envelopment analysis[J]. Management Science, 1984, 30(9): 1078-1092. [26] Charnes A, Cooper W,Rhodes E. Measuring the efficiency of decision making units[J]. European Journal of Operational Research, 1978, 2(6): 429-444. [27] 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. [28] Fukuyama H,Matousek R. Modelling bank performance: A network DEA approach[J]. European Journal of Operational Research, 2017, 259(2): 721-732. [29] 石晓,谢建辉,李勇军,等.非合作博弈两阶段生产系统DEA并购效率评价[J]. 中国管理科学, 2015, 23(7): 60-67.Shi Xiao, Xie Jianhui, Li Yong, et al. Merger efficiency evaluation of two-stage production system based on non-cooperative game theory[J]. Chinese Journal of Management Science, 2015, 23(7): 60-67.
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