@Article{iasc.2020.010137,
AUTHOR = {Xuesong Xu, Hongyan Shao, Shengjie Yang, Rongyuan Chen},
TITLE = {Low-Carbon Efficiency Model Evaluation of China’s Iron and Steel  Enterprises Based on Data and Empirical Evidence},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {5},
PAGES = {1063--1072},
URL = {http://www.techscience.com/iasc/v26n5/40825},
ISSN = {2326-005X},
ABSTRACT = { The aim of this study is to consider the economic, resource, energy and 
environmental factors in a low-carbon economic efficiency evaluation system and 
to analyze the factors affecting iron and steel enterprises. A combined data 
envelopment analysis and Malmquist index model have been used in this paper. 
We empirically investigate the low-carbon efficiency of the Chinese steel industry 
using observations of 17 listed enterprises from 2009 to 2013. The results show 
that the economic efficiency of China’s iron & steel enterprises is generally low. 
The Malmquist productivity index also shows a decreasing trend. Based on our 
findings, some policies are proposed to improve the low-carbon economic 
efficiency of China’s steel industry.},
DOI = {10.32604/iasc.2020.010137}
}