The Open Cybernetics & Systemics Journal

2014, 8 : 681-684
Published online 2014 December 31. DOI: 10.2174/1874110X01408010681
Publisher ID: TOCSJ-8-681

Research of the Improved Eco-Efficiency Evaluation Model of Iron and Steel Industry Based on PCA

Xinghuo Wan , Honglian Wang , Lihui Zhou and Huijiao Gao
College of Science, Hebei United University, Tangshan, Hebei, 063009, China.

ABSTRACT

In this paper, we will establish an Eco-efficiency evaluation index system which is based on the characteristics of the steel industry. Using the principal component analysis to eliminate the impact of the evaluation, reduce the workload of the selection of indicators, and establish the DEA model of the iron and steel industry Eco-efficiency. Finally, we test and verify the effectiveness of this method through simulating the date of the 10 iron and steel companies of Tangshan. by using the MATLAB software.

Keywords:

Data envelope analysis (DEA), eco-efficiency, evaluation model, principal component analysis.