Two-stage DEA models with undesirable input-intermediate-outputs

Omega (United Kingdom)

Volumn 56, Issue , 2015, Pages 74-87

  Liu, Wenbin ^a,b   Zhou, Zhongbao ^a   Ma, Chaoqun ^a   Liu, Debin ^a   Shen, Wanfang ^c  

^a HUNAN UNIVERSITY   (China)

^b UNIVERSITY OF KENT   (United Kingdom)

^c SHANDONG UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

DEA; Free disposability; Network DEA models; Production possibility sets; Two stage systems; Undesirable input intermediate outputs

Indexed keywords

DECISION MAKING; DISPOSABILITY; EFFICIENCY;

DATA ENVELOPMENT ANALYSIS MODELS; DECISION MAKING UNIT; FREE DISPOSABILITY; NETWORK DATA; NETWORK DATA ENVELOPMENT ANALYSE MODEL; NONPARAMETRIC APPROACHES; PRODUCTION POSSIBILITY SET; RELATIVE EFFICIENCY; TWO STAGE SYSTEM; UNDESIRABLE INPUT-INTERMEDIATE-OUTPUT;

DATA ENVELOPMENT ANALYSIS;

EID: 84927934663     PISSN: 03050483     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.omega.2015.03.009     Document Type: Article

References (48)

1. Färe R. Measurin farrell efficiency for a firm with intermediate inputs. Academia Economic 1991, Papers 19:329-340.
2. Färe R., Whittaker G. An intermediate input model of dairy production using complex survey data. J Agric Econ 1995, 46(2):201-213.
3. Färe R., Grosskopf S. Productivity and intermediate products: A frontier approach. Econ Lett 1996, 50(1):65-70.
4. Liang L., Cook W.D., Zhu J. DEA models for two-stage processes: game approach and efficiency decomposition. Naval Res Logistics (NRL) 2008, 55(7):643-653.
5. Kao C., Hwang S.-N. Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in taiwan. Eur J Op Res 2008, 185(1):418-429.
6. Cook W.D., Liang L., Zhu J. Measuring performance of two-stage network structures by DEA: a review and future perspective. Omega 2010, 38(6):423-430.
7. Du J.A., Liang L.A., Chen Y., Cook W.D., Zhu J. A bargaining game model for measuring performance of two-stage network structures. Eur J Op Res 2011, 210(2):390-397.
8. Zhou Z., Sun L., Yang W., Liu W., Ma C. A bargaining game model for efficiency decomposition in the centralized model of two-stage systems. Comput Ind Eng 2013, 64(1):103-108.
9. Chen Y., Cook W.D., Li N., Zhu J. Additive efficiency decomposition in two-stage DEA. Eur J Op Res 2009, 196(3):1170-1176.
10. Kordrostami S., Amirteimoori A. Un-desirable factors in multi-component performance measurement. Appl Math Comput 2005, 171(2):721-729.
11. Hua Z., Bian Y. Performance measurement for network DEA with undesirable factors. Int J Manag Decis Mak 2008, 9(2):141-153.
12. Wang K., Huang W., Wu J., Liu Y.-N. Efficiency measures of the chinese commercial banking system using an additive two-stage DEA. Omega 2014, 44(0):5-20.
13. Seiford L.M., Zhu J. Modeling undesirable factors in efficiency evaluation. Eur J Op Res 2002, 142(1):16-20.
14. Färe R., Grosskopf S. Network DEA. Socio-Econ Plann Sci 2000, 34(1):35-49.
15. Chen Y., Zhu J. Measuring information technology[U+05F3]s indirect impact on firm performance. Inf Technol Manag 2004, 5(1):9-22.
16. Chen C., Yan H. Network DEA model for supply chain performance evaluation. Eur J Op Res 2011, 213(1):147-155.
17. Tone K., Tsutsui M. Network DEA: A slack-based measure approach. Eur J Op Res 2009, 197(1):243-252.
18. Cook W.D., Liang L., Zhu J. Measuring performance of two-stage network structures by DEA: a review and future perspective. Omega-Int J Manag Sci 2010, 38(6):423-430.
19. Halkos G.E., Tzeremes N.G., Kourtzidis S.A. A unified classification of two-stage DEA models. Surv Op Res Manag Sci 2014, 19(1):1-16.
20. Kao C. Network data envelopment analysis: a review. Eur J Op Res 2014, 239(1):1-16.
21. Fukuyama H., Weber W.L. A slacks-based inefficiency measure for a two-stage system with bad outputs. Omega 2010, 38(5):398-409.
22. Lozano S., Gutierrez E., Moreno P. Network DEA approach to airports performance assessment considering undesirable outputs. Appl Math Model 2013, 37(4):1665-1676.
23. Chen P.-C., Chang C.-C., Yu M.-M., Hsu S.-H. Performance measurement for incineration plants using multi-activity network data envelopment analysis: The case of taiwan. J Environ Manag 2012, 93(1):95-103.
24. Maghbouli M., Amirteimoori A., Kordrostami S. Two-stage network structures with undesirable outputs: a DEA based approach. Measurement 2014, 48(0):109-118.
25. Kuosmanen T., Kazemi Matin R. Duality of weakly disposable technology. Omega 2011, 39(5):504-512.
26. Podinovski V.V., Kuosmanen T. Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions. Eur J Op Res 2011, 211(3):577-585.
27. Kuosmanen T. Weak disposability in nonparametric production analysis with undesirable outputs. Am J Agric Econ 2005, 87(4):1077-1082.
28. Färe R., Grosskopf S., Lee W.F. Property rights and profitability, in New directions: efficiency and productivity 2004, 56-77. Kluwer Academic Publishers, Boston. R. Färe, S. Grosskopf (Eds.).
29. Matthews K. Risk management and managerial efficiency in chinese banks: a network DEA framework. Omega-Int J Manag Sci 2013, 41(2):207-215.
30. Liu W., Meng W., Li X., Zhang D. DEA models with undesirable inputs and outputs. Ann Op Res 2010, 173(1):177-194.
31. Chen Y., Cook W.D., Kao C., Zhu J. Network DEA pitfalls: Divisional efficiency and frontier projection under general network structures. Eur J Op Res 2013, 226(3):507-515.
32. Shephard R.W. Theory of cost and production functions 1970, Princeton University Press, Princeton.
33. Fukuyama H., Maeda Y., Sekitani K., Shi J. Input-output substitutability and strongly monotonic p-norm least distance DEA measures. Eur J Op Res 2014, 237(3):997-1007.
34. Färe R., Grosskopf S., Noh D.-W., Weber W. Characteristics of a polluting technology: Theory and practice. J Econ 2005, 126(2):469-492.
35. Bretholt A., Pan J.-N. Evolving the latent variable model as an environmental DEA technology. Omega 2013, 41(2):315-325.
36. Sueyoshi T., Goto M. Weak and strong disposability vs. Natural and managerial disposability in DEA environmental assessment: Comparison between japanese electric power industry and manufacturing industries. Energy Econ 2012, 34(3):686-699.
37. Yang H., Pollitt M. The necessity of distinguishing weak and strong disposability among undesirable outputs in DEA: Environmental performance of chinese coal-fired power plants. Energy Policy 2010, 38(8):4440-4444.
38. Sahoo B.K., Luptacik M., Mahlberg B. Alternative measures of environmental technology structure in DEA: an application. Eur J Op Res 2011, 215(3):750-762.
39. Färe R., Grosskopf S. Modeling undesirable factors in efficiency evaluation: comment. Eur J Op Res 2004, 157(1):242-245.
40. Chellappa R.K., Shivendu S. Mechanism design for 'free' but 'no free disposal' services: The economics of personalization under privacy concerns. Manag Sci 2010, 56(10):1766-1780.
41. Chang Y.-C., Yu M.-M., Chen P.-C. Evaluating the performance of chinese airports. J Air Transp Manag 2013, 31(0):19-21.
42. Fukuyama H., Mirdehghan S.M. Identifying the efficiency status in network DEA. Eur J Op Res 2012, 220(1):85-92.
43. Huang C.-W., Ho F.N., Chiu Y.-h. Measurement of tourist hotels[U+05F3] productive efficiency, occupancy, and catering service effectiveness using a modified two-stage DEA model in taiwan. Omega 2014, 48(0):49-59.
44. Fukuyama H., Weber W.L. A directional slacks-based measure of technical inefficiency. Socio-Econ Plan Sci 2009, 43(4):274-287.
45. Lewis H.F., Sexton T.R. Network DEA: Efficiency analysis of organizations with complex internal structure. Comput Op Res 2004, 31(9):1365-1410.
46. Azizi H., Ajirlu S.F. Measurement of overall performances of decision-making units using ideal and anti-ideal decision-making units. Comput Ind Eng 2010, 59(3):411-418.
47. Kao C. Efficiency decomposition in network data envelopment analysis with slacks-based measures. Omega 2014, 45(0):1-6.
48. Seiford L.M., Zhu J. Profitability and marketability of the top 55 U.S. Commercial banks. Manag Sci 1999, 45(9):1270-1288.