Coordinated production target setting for production–pollutant control systems: A DEA two-stage bargaining game approach

References

• An, Q., Chen, H., Xiong, B., Wu, J., & Liang, L. (2017). Target intermediate products setting in a two-stage system with fairness concern. Omega, 73, 49–59. doi:10.1016/j.omega.2016.12.005
   Web of Science ®Google Scholar
• An, Q., Wen, Y., Ding, T., & Li, Y. (2019). Resource sharing and payoff allocation in a three-stage system: Integrating network DEA with the Shapley value method. Omega, 85, 16–25. doi:10.1016/j.omega.2018.05.008
   Web of Science ®Google Scholar
• Charnes, A., & Cooper, W. W. (1962). Programming with linear fractional functionals. Naval Research logistics quarterly, 9(3–4), 181–186.
   Google Scholar
• Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. doi:10.1016/0377-2217(78)90138-8
   Web of Science ®Google Scholar
• Chen, C. M. (2009). A network-DEA model with new efficiency measures to incorporate the dynamic effect in production networks. European Journal of Operational Research, 194(3), 687–699. doi:10.1016/j.ejor.2007.12.025
   Web of Science ®Google Scholar
• Chen, Y., Liang, L., & Zhu, J. (2009). Equivalence in two-stage DEA approaches. European Journal of Operational Research, 193(2), 600–604. doi:10.1016/j.ejor.2007.11.040
   Web of Science ®Google Scholar
• Chen, Y., Cook, W. D., & Zhu, J. (2010). Deriving the DEA frontier for two-stage processes. European Journal of Operational Research, 202(1), 138–142. doi:10.1016/j.ejor.2009.05.012
   Web of Science ®Google Scholar
• Chen, Y., Cook, W. D., Kao, C., & Zhu, J. (2013). Network DEA pitfalls: Divisional efficiency and frontier projection under general network structures. European Journal of Operational Research, 226(3), 507–515. doi:10.1016/j.ejor.2012.11.021
   Web of Science ®Google Scholar
• Chen, Y., & Zhu, J. (2004). Measuring information technology's indirect impact on firm performance. Information Technology and Management, 5(1–2), 9–22. doi:10.1023/B:ITEM.0000008075.43543.97
   Google Scholar
• Chu, J., Wu, J., Chu, C., , & Zhang, T. (2019). DEA-based fixed cost allocation in two-stage systems: leader-follower and satisfaction degree bargaining game approaches. Omega. doi:10.1016/j.omega.2019.03.012
   Web of Science ®Google Scholar
• Chu, J., Wu, J., Zhu, Q., An, Q., & Xiong, B. (2016). Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition. Computational Economics. doi:10.1007/s10614-015-9558-8.
   Google Scholar
• Chu, J. F., Wu, J., & Song, M. L. (2018). An SBM-DEA model with parallel computing design for environmental efficiency evaluation in the big data context: A transportation system application. Annals of Operations Research. 270(1–2), 105–124. doi:10.1007/s10479-016-2264-7
   Web of Science ®Google Scholar
• Cook, W. D., Liang, L., Zha, Y., & Zhu, J. (2009). A modified super-efficiency DEA model for infeasibility. Journal of the Operational Research Society, 60(2), 276–281. doi:10.1057/palgrave.jors.2602544
   Web of Science ®Google Scholar
• Cook, W. D., Liang, L., & Zhu, J. (2010). Measuring performance of two-stage network structures by DEA: A review and future perspective. Omega, 38(6), 423–430. doi:10.1016/j.omega.2009.12.001
   Web of Science ®Google Scholar
• Cook, W. D., Harrison, J., Imanirad, R., Rouse, P., & Zhu, J. (2013). Data envelopment analysis with nonhomogeneous DMUs. Operations Research, 61(3), 666–676. doi:10.1287/opre.2013.1173
   Web of Science ®Google Scholar
• Despotis, D. K., Koronakos, G., & Sotiros, D. (2016). Composition versus decomposition in two-stage network DEA: A reverse approach. Journal of Productivity Analysis, 45(1), 71–87. doi:10.1007/s11123-014-0415-x
   Web of Science ®Google Scholar
• Du, J., Liang, L., Chen, Y., Cook, W. D., & Zhu, J. (2011). A bargaining game model for measuring performance of two-stage network structures. European Journal of Operational Research, 210(2), 390–397. doi:10.1016/j.ejor.2010.08.025
   Web of Science ®Google Scholar
• Färe, R., & Grosskopf, S. (1996). Productivity and intermediate products: A frontier approach. Economics Letters, 50 (1), 65–70. doi:10.1016/0165-1765(95)00729-6
   Web of Science ®Google Scholar
• Ghasemi, M. R., Ignatius, J., & Emrouznejad, A. (2014). A bi-objective weighted model for improving the discrimination power in MCDEA. European Journal of Operational Research, 233(3), 640–650. doi:10.1016/j.ejor.2013.08.041
   Web of Science ®Google Scholar
• Hatami-Marbini, A., Tavana, M., Agrell, P. J., Lotfi, F. H., & Beigi, Z. G. (2015). A common-weights DEA model for centralized resource reduction and target setting. Computers & Industrial Engineering, 79, 195–203. doi:10.1016/j.cie.2014.10.024
   Web of Science ®Google Scholar
• Kao, C., & Hwang, S. N. (2008). Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European Journal of Operational Research, 185(1), 418–429. doi:10.1016/j.ejor.2006.11.041
   Web of Science ®Google Scholar
• Kao, C., & Hwang, S. N. (2011). Decomposition of technical and scale efficiencies in two-stage production systems. European Journal of Operational Research, 211(3), 515–519. doi:10.1016/j.ejor.2011.01.010
   Web of Science ®Google Scholar
• Kao, C., & Hwang, S. N. (2014). Multi-period efficiency and Malmquist productivity index in two-stage production systems. European Journal of Operational Research, 232(3), 512–521. doi:10.1016/j.ejor.2013.07.030
   Google Scholar
• Lewis, H. F., & Sexton, T. R. (2004). Network DEA: Efficiency analysis of organizations with complex internal structure. Computers & Operations Research, 31(9), 1365–1410. doi:10.1016/S0305-0548(03)00095-9
   Web of Science ®Google Scholar
• Liang, L., Yang, F., Cook, W. D., & Zhu, J. (2006). DEA models for supply chain efficiency evaluation. Annals of Operations Research, 145(1), 35–49. doi:10.1007/s10479-006-0026-7
   Web of Science ®Google Scholar
• Liang, L., Cook, W. D., & Zhu, J. (2008). DEA models for two‐stage processes: Game approach and efficiency decomposition. Naval Research Logistics (NRL), 55(7), 643–653. doi:10.1002/nav.20308
   Web of Science ®Google Scholar
• Liu, W., Zhou, Z., Ma, C., Liu, D., & Shen, W. (2015). Two-stage DEA models with undesirable input-intermediate-outputs. Omega, 56, 74–87. doi:10.1016/j.omega.2015.03.009
   Web of Science ®Google Scholar
• Li, Y., Chen, Y., Liang, L., & Xie, J. (2012). DEA models for extended two-stage network structures. Omega, 40(5), 611–618. doi:10.1016/j.omega.2011.11.007
   Web of Science ®Google Scholar
• Li, Y., Lei, X., Dai, Q., & Liang, L. (2015). Performance evaluation of participating nations at the 2012 London Summer Olympics by a two-stage data envelopment analysis. European Journal of Operational Research, 243 (3), 964–973. doi:10.1016/j.ejor.2014.12.032
   Web of Science ®Google Scholar
• Liu, X., Chu, J., Yin, P., & Sun, J. (2017). DEA cross-efficiency evaluation considering undesirable output and ranking priority: a case study of eco-efficiency analysis of coal-fired power plants. Journal of Cleaner Production, 142, 877–885. doi:10.1016/j.jclepro.2016.04.069
   Web of Science ®Google Scholar
• Lim, S., & Zhu, J. (2016). A note on two-stage network DEA model: Frontier projection and duality. European Journal of Operational Research, 248(1), 342–346. doi:10.1016/j.ejor.2015.06.050
   Web of Science ®Google Scholar
• Matthews, K. (2013). Risk management and managerial efficiency in Chinese banks: A network DEA framework. Omega, 41(2), 207–215. doi:10.1016/j.omega.2012.06.003
   Web of Science ®Google Scholar
• Nash, J. F. (1950). The bargaining problem. Econometrica: Journal of the Econometric Society, 18(2), 155–162. doi:10.2307/1907266
   Web of Science ®Google Scholar
• Nash, J. (1953). Two-person cooperative games. Econometrica: Journal of the Econometric Society, 21(1), 128–140. doi:10.2307/1906951
   Web of Science ®Google Scholar
• Seiford, L. M., & Zhu, J. (1999). Profitability and marketability of the top 55 US commercial banks. Management Science, 45(9), 1270–1288. doi:10.1287/mnsc.45.9.1270
   Web of Science ®Google Scholar
• Sexton, T. R., & Lewis, H. F. (2003). Two-stage DEA: An application to major league baseball. Journal of Productivity Analysis, 19(2–3), 227–249. doi:10.1023/A:1022861618317
   Google Scholar
• Tone, K., & Tsutsui, M. (2009). Network DEA: A slacks-based measure approach. European Journal of Operational Research, 197(1), 243–252. doi:10.1016/j.ejor.2008.05.027
   Web of Science ®Google Scholar
• Tone, K., & Tsutsui, M. (2010). Dynamic DEA: A slacks-based measure approach. Omega, 38(3–4), 145–156. doi:10.1016/j.omega.2009.07.003
   Web of Science ®Google Scholar
• Wang, Y. M., & Chin, K. S. (2010). Some alternative models for DEA cross-efficiency evaluation. International Journal of Production Economics, 128(1), 332–338. doi:10.1016/j.ijpe.2010.07.032
   Web of Science ®Google Scholar
• Wang, K., Yu, S., & Zhang, W. (2013). China's regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation. Mathematical and Computer Modelling, 58(5–6), 1117–1127. doi:10.1016/j.mcm.2011.11.067
   Google Scholar
• Wu, J., Zhu, Q., Chu, J., & Liang, L. (2015). Two-stage network structures with undesirable intermediate outputs reused: A DEA based approach. Computational Economics, 46(3), 455–477. doi:10.1007/s10614-015-9498-3
   Web of Science ®Google Scholar
• Wu, J., Chu, J., Sun, J., & Zhu, Q. (2016). DEA cross-efficiency evaluation based on Pareto improvement. European Journal of Operational Research, 248(2), 571–579. doi:10.1016/j.ejor.2015.07.042
   Web of Science ®Google Scholar
• Wu, J., Chu, J., Sun, J., Zhu, Q., & Liang, L. (2016). Extended secondary goal models for weights selection in DEA cross-efficiency evaluation. Computers & Industrial Engineering, 93, 143–151. doi:10.1016/j.cie.2015.12.019
   Web of Science ®Google Scholar
• Wu, J., Yin, P., Sun, J., Chu, J., & Liang, L. (2016). Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspective. European Journal of Operational Research, 254(3), 1047–1062. doi:10.1016/j.ejor.2016.04.034
   Web of Science ®Google Scholar
• Wu, J., Zhu, Q., Ji, X., Chu, J., & Liang, L. (2016). Two-stage network processes with shared resources and resources recovered from undesirable outputs. European Journal of Operational Research, 251(1), 182–197. doi:10.1016/j.ejor.2015.10.049
   Web of Science ®Google Scholar
• Yin, P., Chu, J., Wu, J., Ding, J., Yang, M., & Wang, Y. (2019). A DEA-based two-stage network approach for hotel performance analysis: An internal cooperation perspective. Omega. doi: 10.1016/j.omega.2019.02.004.
   Google Scholar
• Zhu, J. (2000). Multi-factor performance measure model with an application to Fortune 500 companies. European Journal of Operational Research, 123(1), 105–124. doi:10.1016/S0377-2217(99)00096-X
   Google Scholar