Xuesong Xu, Hongyan Shao, Shengjie Yang*, Rongyuan Chen
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1063-1072, 2020, DOI:10.32604/iasc.2020.010137
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… More >
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