Paper Title:
Environmental Efficiency Measurement Based on Cross-Efficiency DEA Models in Power Industry
  Abstract

Air pollution becomes more serious with the development of industry. Taking the “sustainable development” into account, more and more corporations consider environment as an important feature in their products. Because coal is the main consumption of power industry and coal combustion can produce air pollution seriously, how to measure the environmental efficiency in power industry becomes more significant. Although there are many of synthetic evaluation methods were proposed for measuring the green degree of production, such as AHP (Analytic Hierarchy Process), PCA (Principal Components Analysis), DEA (Data Envelopment Analysis) etc., the shortcomings of each method for measure green performance are appeared in practical application. A peer appraisal methodology, denoted as cross-efficiency DEA, was applied in this paper to measure the environmental efficiency of power industry in US.

  Info
Periodical
Edited by
Helen Zhang and David Jin
Pages
659-663
DOI
10.4028/www.scientific.net/AMM.63-64.659
Citation
D. Niu, S. Y. Guo, "Environmental Efficiency Measurement Based on Cross-Efficiency DEA Models in Power Industry", Applied Mechanics and Materials, Vols. 63-64, pp. 659-663, 2011
Online since
June 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Ning Li, Fang Fu
Abstract:Petroleum industry is a pivotal component of a country’s industry, which can provide fuel oil and gasoline to guarantee the running of the...
285
Authors: Xiao Li Lu, Dian Chao Wang
Abstract:This paper built a road network evaluation system on the basis of the theory and methods of road network construction projects, and then...
1291
Authors: Ionela Tanase, Liviu Morar
Chapter 3: Manufacturing Systems
Abstract:Finding productive performance of a producer is a topical issue on the basis of which has been and are done a large number of research....
220