Measuring environmental performance in China's industrial sectors with non-radial DEA

Mathematical and Computer Modelling

Volumn 58, Issue 5-6, 2013, Pages 1047-1056

  Meng, F Y ^a   Fan, L W ^b   Zhou, P ^a   Zhou, D Q ^a  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b HOHAI UNIVERSITY   (China)

Author keywords

China; Data envelopment analysis (DEA); Environmental performance; Industrial sector; Undesirable outputs

Indexed keywords

CHINA; DISCRIMINATING POWER; EFFICIENCY MEASURE; ENVIRONMENTAL PERFORMANCE; ENVIRONMENTAL PERFORMANCE INDICES; INDUSTRIAL SECTOR; TECHNOLOGICAL CHANGE; UNDESIRABLE OUTPUTS;

DATA ENVELOPMENT ANALYSIS; INDUSTRY;

ENVIRONMENTAL MANAGEMENT;

EID: 84880622713     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2012.08.009     Document Type: Article

References (33)

1. Song M., Wang S., Yu H., Yang L., Wu J. To reduce energy consumption and to maintain rapid economic growth: analysis of the condition in China based on expended IPAT model. Renewable and Sustainable Energy Reviews 2011, 15:5129-5134.
2. Zhou P., Ang B.W., Poh K. Measuring environmental performance under different environmental DEA technologies. Energy Economics 2008, 30:1-14.
3. Zhou P., Ang B.W., Han J.Y. Total factor carbon emission performance: a Malmquist index analysis. Energy Economics 2010, 32:194-201.
4. Charnes A., Cooper W.W., Rhodes E. Measuring the efficiency of decision making units. European Journal of Operational Research 1978, 2:429-444.
5. Cook W.D., Seiford L.M. Data envelopment analysis (DEA)-thirty years on. European Journal of Operational Research 2009, 192:1-17.
6. Scheel H. Undesirable outputs in efficiency valuations. European Journal of Operational Research 2001, 132:400-410.
7. Seiford L.M., Zhu J. Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research 2002, 142:16-20.
8. Kuosmanen T. Weak disposability in nonparametric production analysis with undesirable outputs. American Journal of Agricultural Economics 2005, 87:1077-1082.
9. Podinovski V.V., Kuosmanen T. Modeling weak disposability in data envelopment analysis under relaxed convexity assumptions. European Journal of Operational Research 2011, 211:577-585.
10. Färe R., Grosskopf S., Lovell C.A.K., Pasurka C. Multilateral productivity comparisons when some outputs are undesirable: a nonparametric approach. The Review of Economics and Statistics 1989, 71:90-98.
11. Hua Z., Bian Y., Liang L. Eco-efficiency analysis of paper mills along the Huai River: an extended DEA approach. Omega 2007, 35:578-587.
12. 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.
13. Färe R., Grosskopf S., Hernandez-Sancho F Environmental performance: an index number approach. Resource and Energy Economics 2004, 26:343-352.
14. Färe R., Grosskopf S., Pasurka C.A. Pollution abatement activities and traditional productivity. Ecological Economics 2007, 62:673-682.
15. Färe R., Grosskopf S., Pasurka C.A. Toxic releases: an environmental performance index for coal-fired power plants. Energy Economics 2010, 32:158-165.
16. Zhou P., Ang B.W., Poh K.L. Slacks-based efficiency measures for modeling environmental performance. Ecological Economics 2006, 60:111-118.
17. Zhou P., Poh K.L., Ang B.W. A non-radial DEA approach to measuring environmental performance. European Journal of Operational Research 2007, 178:1-9.
18. Zhou P., Ang B.W., Zhou D.Q. Weighting and aggregation in composite indicator construction: a multiplicative optimization approach. Social Indicators Research 2010, 96:169-181.
19. Halkos G.E., Nickolaos G., Tzeremes Exploring the existence of Kuznets curve in countries' environmental efficiency using DEA window analysis. Ecological Economics 2009, 68:2168-2176.
20. Bian Y., Yang F. Resource and environmental efficiency analysis of provinces in China: a DEA approach based on Shannon's entropy. Energy Policy 2010, 38:1909-1917.
21. Mandal S.K., Madheswaran S. Environmental efficiency of the Indian cement industry: an interstate analysis. Energy Policy 2010, 38:1108-1118.
22. Sueyoshi T., Goto M. Methodological comparison between two unified (operational and environmental) efficiency measurements for environmental assessment. European Journal of Operational Research 2011, 210:684-693.
23. Sueyoshi T., Goto M. DEA approach for unified efficiency measurement: assessment of Japanese fossil fuel power generation. Energy Economics 2011, 33:202-303.
24. Wang K., Wei Y.M., Zhang X. A comparative analysis of China's regional energy and emission performance: Which is the better way to deal with undesirable outputs?. Energy Policy 2012, 46:574-584.
25. Wang K., Yu S., Zhang W. China's regional energy and environment efficiency: a DEA window analysis based dynamic evaluation. Mathematical and Computer Modelling 2013, 58:1117-1127.
26. Wu J., An Q., Ali S., Liang L. DEA based resource allocation considering environmental factors. Mathematical and Computer Modelling 2013, 58:1128-1137.
27. Zhu J. Data envelopment analysis with preference structure. Journal of the Operational Research Society 1996, 47:136-150.
28. Fukuyama H., Weber W.L. A directional slacks-based measure of technical efficiency. Socio-Economic Planning Sciences 2009, 43:274-287.
29. 2 emission performance in electricity generation: a non-radial directional distance function approach. European Journal of Operational Research 2012, 221:625-635.
30. Chen Y. A non-radial Malmquist productivity index with an illustrative application to Chinese major industries. International Journal of Production Economics 2003, 83:27-35.
31. Wang Y.M., Lan Y.X. Measuring Malmquist productivity index: a new approach based on double frontiers data envelopment analysis. Mathematical and Computer Modelling 2011, 54:2760-2771.
32. National Bureau of Statistics of China (NBSC), China Statistical Yearbook, China Statistical Press, 1998-2010.
33. Department of Energy Statistics, National Bureau of Statistics of China (DES-NBSC), China Energy Statistical Yearbook, China Statistical Press, 1998-2010.