A game theoretic approach to modeling undesirable outputs and efficiency decomposition in data envelopment analysis

Applied Mathematics and Computation

Volumn 244, Issue , 2014, Pages 479-492

  Mahdiloo, Mahdi ^a   Tavana, Madjid ^b,c   Farzipoor Saen, Reza ^d   Noorizadeh, Abdollah ^e  

^a GRIFFITH UNIVERSITY   (Australia)

^b LA SALLE UNIVERSITY   (United States)

^c UNIVERSITY OF PADERBORN   (Germany)

^d ISLAMIC AZAD UNIVERSITY   (Iran)

^e LAPPEENRANTA UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Data envelopment analysis; Ecological efficiency; Process environmental quality efficiency; Technical efficiency; Undesirable outputs

Indexed keywords

DATA ENVELOPMENT ANALYSIS; DECISION MAKING; ECOLOGY; GAME THEORY; MATHEMATICAL PROGRAMMING;

COOPERATIVE AND NON-COOPERATIVE GAME THEORY; ECOLOGICAL EFFICIENCY; EFFECTIVE PERFORMANCE; EFFICIENCY DECOMPOSITION; ENVIRONMENTAL QUALITY; PERFORMANCE MEASUREMENTS; TECHNICAL EFFICIENCY; UNDESIRABLE OUTPUTS;

EFFICIENCY;

EID: 84905171019     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2014.07.035     Document Type: Article

References (25)

1. R.D. Banker, A. Charnes, and W.W. Cooper Some models for estimating technical and scale inefficiencies in data envelopment analysis Manage. Sci. 30 9 1984 1078 1092 (Pubitemid 14651320)
2. Y. Bian, and F. Yang Resource and environment efficiency analysis of provinces in China: a DEA approach based on Shannon's entropy Energy Policy 38 4 2010 1909 1917
3. A. Charnes, W.W. Cooper, and E. Rhodes Measuring the efficiency of decision making units Eur. J. Oper. Res. 2 6 1978 429 444 (Pubitemid 9402758)
4. A. Charnes, W.W. Cooper, B. Golany, I. Seiford, and J. Stutz Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions J. Econometrics 30 1 1985 91 107
5. T.H. Chen Performance measurement of an enterprise and business units with an application to a Taiwanese hotel chain Int. J. Hospitality Manage. 28 3 2009 415 422
6. China Energy Statistical Yearbook, Department of Industry and Transport Statistics, Energy Bureau National Development Reform Commission, National Bureau of Statistics of China (NBS), China, Beijing, 2011.
7. China Statistical Yearbook, National Bureau of Statistics of China (NBS), China, Beijing, 2011.
8. Y.C. Chiou, L.W. Lan, and B.T.H. Yen A joint measurement of efficiency and effectiveness for non-storable commodities: integrated data envelopment analysis approaches Eur. J. Oper. Res. 201 2 2010 477 489
9. W.W. Cooper, K.S. Park, and J.T. Pastor RAM: a range adjusted measure of inefficiency for use with additive models, and relations to other models and measures in DEA J. Productivity Anal. 11 1 1999 5 42
10. R. Färe, and S. Grosskopf Modeling undesirable factors in efficiency evaluation: comment Eur. J. Oper. Res. 157 1 2004 242 245
11. R. Färe, S. Grosskopf, C.A.K. Lovell, and C. Pasuka Multilateral productivity comparisons when some outputs are undesirable: a nonparametric approach Rev. Econ. Stat. 71 1 1989 90 98
12. A. Hailu, and T.S. Veeman Non-parametric productivity analysis with undesirable outputs: an application to the Canadian pulp and paper industry Am. J. Agric. Econ. 83 3 2001 605 616 (Pubitemid 32882319)
13. C. Kao, and S.N. Hwang Efficiency decomposition in two-stage data envelopment analysis: an application to non-life insurance companies in Taiwan Eur. J. Oper. Res. 185 1 2008 418 429 (Pubitemid 47418455)
14. P.J. Korhonen, and M. Luptacik Eco-efficiency analysis of power plants: an extension of data envelopment analysis Eur. J. Oper. Res. 154 2 2004 437 446
15. H.F. Lewis, and T.R. Sexton Data envelopment analysis with reverse inputs and outputs J. Productivity Anal. 21 2 2004 113 132 (Pubitemid 39046267)
16. L. Liang, W.D. Cook, and J. Zhu DEA models for two-stage processes: game approach and efficiency decomposition Naval Res. Logistics (NRL) 55 7 2008 643 653
17. L. Liang, F. Yang, W.D. Cook, and J. Zhu DEA models for supply chain efficiency evaluation Ann. Oper. Res. 145 1 2006 35 49 (Pubitemid 44286417)
18. S. Lim, and J. Zhu Integrated data envelopment analysis: global vs. local optimum Eur. J. Oper. Res. 229 1 2013 276 278
19. L.M. Seiford, and J. Zhu Modeling undesirable factors in efficiency evaluation Eur. J. Oper. Res. 142 1 2002 16 20 (Pubitemid 35171675)
20. T. Sueyoshi, and M. Goto Methodological comparison between two unified (operational and environmental) efficiency measurements for environmental assessment Eur. J. Oper. Res. 210 3 2011 684 693
21. 2 emission control?: Examination by data envelopment analysis Energy Policy 38 10 2010 5902 5911
22. K. Tone A slacks-based measure of efficiency in data envelopment analysis Eur. J. Oper. Res. 130 3 2001 498 509 (Pubitemid 32875307)
23. K. Wang, Y.M. Wei, and X. Zhang A comparative analysis of China's regional energy and emission performance: Which is the better way to deal with undesirable outputs? Energy Policy 46 1 2012 574 584
24. H. Yang, and M.G. Pollitt Incorporating both undesirable outputs and uncontrollable variables into DEA: the performance of Chinese coal-fired power plants Eur. J. Oper. Res. 197 3 2009 1095 1105
25. B. Zhang, J. Bi, Z. Fan, Z. Yuan, and J. Ge Eco-efficiency analysis of industrial system in China: a data envelopment analysis approach Ecol. Econ. 68 1-2 2008 306 316