The necessity of distinguishing weak and strong disposability among undesirable outputs in DEA: Environmental performance of Chinese coal-fired power plants

Energy Policy

Volumn 38, Issue 8, 2010, Pages 4440-4444

  Yang, Hongliang ^a   Pollitt, Michael ^b  

^a Asia Development Bank   (Philippines)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Electricity; Environment; Nonparametric modeling

Indexed keywords

CHINESE COAL; EFFICIENCY EVALUATION; EFFICIENCY MODELS; ENVIRONMENT; ENVIRONMENTAL PERFORMANCE; NON-PARAMETRIC MODELING; PRODUCTION PROCESS; TECHNICAL FEATURES;

COAL; COAL FUELED FURNACES; ENVIRONMENTAL MANAGEMENT; FOSSIL FUEL POWER PLANTS; PRODUCTION ENGINEERING;

COAL RESEARCH;

COAL-FIRED POWER PLANT; ELECTRICITY GENERATION; ENERGY EFFICIENCY; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; TECHNICAL EFFICIENCY;

CHINA;

EID: 77953704452     PISSN: 03014215     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enpol.2010.03.075     Document Type: Article

References (25)

1. Brockett P., Golany B. Using rank statistics for determining programmatic efficiency differences in data envelopment analysis. Management Science 1996, 42(3):466-472.
2. Caves D., Christensen L., Diewert W. Multilateral comparisons of output, input, and productivity using superlative index numbers. Economic Journal 1982, 92:73-86.
3. Charnes A., Cooper W., Rhodes E. Measuring efficiency of decision making units. European Journal of Operational Research 1978, 2:429-444.
4. Cooper W., Seiford L., Tone K. Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solvers Software 2000, Kluwer, London.
5. Cropper M.L., Oates W.E. Environmental economics: a survey. Journal of Economic Literature. 1992, 30:675-740.
6. Fare R., Grosskopf S. New Directions: Efficiency and Productivity 2004, Kluwer Academic Publishers, Boston.
7. Fare R., Grosskopf S. Nonparametric productivity analysis with undesirable outputs: comment. American Journal of Agricultural Economics 2003, 85(4):1070-1074.
8. Fare R., Grosskopf S., Lovell K., Pasurka C. Multilateral productivity comparisons when some outputs are undesirable: a nonparametric approach. The Review of Economics and Statistics 1989, 71(1):90-98.
9. Fare R., Grosskopf S., Logan J. The relative performance of publicly owned and privately owned electric utilities. Journal of Public Economics 1985, 26:89-106.
10. Fare F., Grosskopf S., Tyteca D. An activity analysis model of the environmental performance of firms-application to fossil-fuel-fired electric utilities. Ecological Economics 1996, 18:161-175.
11. Farrell M. The measurement of productive efficiency. Journal of Royal Statistical Society Series 1957, (Series A):120.
12. Hailu A. Non-parametric productivity analysis with undesirable outputs: reply. American Journal of Agricultural Economics 2003, 85(4):1075-1077.
13. Hailu A., Veeman T.S. Non-parametric productivity analysis with undesirable outputs: an application to the Canadian pulp and paper industry. American Journal of Agricultural Economics 2001, 83(3):605-616.
14. Kopp R., Smith V., Vaughan W. Stochastic cost frontiers and perceived technical inefficiency. Advances in Applied Micro-Economics. 1982, 2. JAI Press.
15. Korhonen P., Luptacik M. Eco-efficiency analysis of power plants: an extension of data envelopment analysis. European Journal of Operational Research 2004, 154:437-446.
16. Kuosmanen T. Weak disposability in nonparametric production analysis with undesirable outputs. American Journal of Agricultural Economics 2005, 87(4):1077-1082.
17. Lehmann E. Nonparametrics: Statistical Methods based on Ranks 1975, Holden-Day, San Francisco, USA.
18. Pittman R. Multilateral productivity comparisons with undesirable outputs. The Economic Journal 1983, 93:883-891.
19. Pollitt M. Ownership and Performance in Electric Utilities 1995, Oxford University Press, Oxford, UK.
20. Seitz W.D. Productive efficiency in the steam-electric generating industry. Journal of Political Economy 1971, 79(4):878-886.
21. Tyteca D. On the measurement of the environmental performance of firms-a literature review and a productive efficiency perspective. Journal of Environmental Management 1996, 46:281-308.
22. Tyteca D. Linear programming models for the measurement of environmental performance of firms-concepts and empirical results. Journal of Productivity Analysis 1997, 8:183-197.
23. Yaisawarng S., Klein J. The effects of sulfur dioxide controls on productivity change in the US electric power industry. The Review of Economics and Statistics 1994, 76(3):447-460.
24. Yang H., Pollitt M. Incorporating both undesirable outputs and uncontrollable variables into DEA: the performance of Chinese coal-fired power plants. European Journal of Operational Research 2009, 197:1095-1105.
25. Zhou P., Ang B., Poh K. A survey of data envelopment analysis in energy and environmental studies. European Journal of Operational Research 2008, 189:1-18.