Title :
The Entropy DEA Model and Empirical Analysis for Measuring Efficiency of Industrial Pollution Control
Author_Institution :
Northwestern Polytech. Univ., Xian
Abstract :
The industrial pollution control is a major concern in the socio-economic development. In this paper the author establishes an entropy DEA model evaluating the effectiveness of industrial pollution control from the angle of both inputs and outputs, namely, input-entropy DEA model and output-entropy DEA model. And it also discusses issues such as model solving, the identification of effective decision-making units and the improvement of non-effective decision-making units. Finally, by evaluating the examples about the effectiveness of industrial pollution control in every Chinese province and autonomous regions in 2004, the effectiveness and feasibility of this model is validated.
Keywords :
data envelopment analysis; decision making; environmental economics; industrial pollution; pollution control; data envelopment analysis model; decision-making units; empirical analysis; entropy DEA model; industrial pollution control; socio-economic development; Appraisal; Cities and towns; Data analysis; Data envelopment analysis; Decision making; Entropy; Environmental economics; Industrial pollution; Pollution measurement; Protection;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.2971
