Journal of Management Research

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A Study of Environmental Management Efficiency Using the DEA Method


Affiliations
1 School of Business Administration Eastern Liaoning University Dandong 118001, China
2 Director of Center for Korean Studies Liaoning National University ShenYang 110136, India
     

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After 30 years of rapid economic growth (averaging nearly 10% annual growth), China is also facing energy and pollution problems. This study evaluates the environmental efficiency of Chinese manufacturing. It is different from theoretical study with direct reference to Chinese National Bureau of Statistics data, and from the correlation and causal relationship between the study variables of the first study. The results of this study will make up for the first study of the lack of objectivity. The results will help researchers assess the Chinese manufacturing industry’s sustainable development programs and the central government’s efforts to protect the environment.

Keywords

Data Envelopment Analysis, Environmental Investment Efficiency, Environmental Efficiency Of Manufacturing, Environmental Management
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  • Banker, Rajiv D., Charnes, A. and Cooper, William W. (1984), Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, 30(9): 1078–1092.

  • Banker, Rajiv D. and Morey, Richard C. (1986), The Use of Categorical Variables in DEA, Management Science, 32(12): 1613–1627.

  • Boussofiane Aziz, Dyson, Robert G. and Thanassoulis, Emmanuel (1991), Applied Data Envelopment Analysis, European Journal of Operational Research, 52(1): 1–15.

  • Charnes, A., Cooper, William W., Lewin, Arie Y. and Seiford, Lawrence M. (1994), Data Envelopment Analysis: Theory, Methodology and Application, Kluwe Academic Publishers, Boston, MA, USA.

  • Coelli, Timothy J., Rao, Dodla Sai Prasada, O’Donnell, Christopher J. and Battese, George Edward (1998), An Introduction to Efficiency and Productivity Analysis (2nd Ed), Kluwer Academic Publishers, Boston, MA, USA.

  • Cooper, William W., Seiford, Lawrence M. and Tone, Kaoru (2006), Data Envelopment Analysis: A Comprehensive Text with Models, Application, References and DEA-Solver Software (2nd Ed), Springer, New York, USA.

  • Debreu, Gerard (1951), The Coefficient of Resource Utilization, Econometrica: Journal of the Econometric Society, 19(3): 273–292.

  • Farrell, Michael J. (1957), The Measurement of Productive Efficiency, Journal of the Royal Statistical Society, Series A(General), 120(3): 253–290.

  • Koopmans, Tjalling C. (1951), Analysis of Production as an Efficient Combination of Activities, in Koopmans, Tjalling C. (Ed), Activity Analysis of Production and Allocation, pp. 33–97, Wiley, New York, USA.

  • Lovell, C. A. Knox (1993), Production Frontiers and Productive Efficiency, in Fried, H. O., Lovell, C. A. Knox and Schmidt, S. S. (Eds), The Measurement of Productive Efficiency: Techniques and Application, pp. 3–67 Oxford University Press, New York, USA.

  • Thanassoulis, Emmanuel (2001), Introduction to the Theory and Application of Data Envelopment Analysis, Kluwer Academic Publishers, Massachusetts.


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  • A Study of Environmental Management Efficiency Using the DEA Method

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Authors

Dong-Zhe Zhang
School of Business Administration Eastern Liaoning University Dandong 118001, China
Dong-Ming Zhang
Director of Center for Korean Studies Liaoning National University ShenYang 110136, India

Abstract


After 30 years of rapid economic growth (averaging nearly 10% annual growth), China is also facing energy and pollution problems. This study evaluates the environmental efficiency of Chinese manufacturing. It is different from theoretical study with direct reference to Chinese National Bureau of Statistics data, and from the correlation and causal relationship between the study variables of the first study. The results of this study will make up for the first study of the lack of objectivity. The results will help researchers assess the Chinese manufacturing industry’s sustainable development programs and the central government’s efforts to protect the environment.

Keywords


Data Envelopment Analysis, Environmental Investment Efficiency, Environmental Efficiency Of Manufacturing, Environmental Management

References