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Low-Carbon Efficiency Model Evaluation of China’s Iron and Steel Enterprises Based on Data and Empirical Evidence

Xuesong Xu, Hongyan Shao, Shengjie Yang*, Rongyuan Chen

Key Laboratory for New Retail Virtual Reality Technology of Hunan Province, Hunan University of Technology and Business, Changsha, 410205, China

* Corresponding Author: Shengjie Yang. Email: email

Intelligent Automation & Soft Computing 2020, 26(5), 1063-1072.


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.


Cite This Article

X. Xu, H. Shao, S. Yang and R. Chen, "Low-carbon efficiency model evaluation of china’s iron and steel enterprises based on data and empirical evidence," Intelligent Automation & Soft Computing, vol. 26, no.5, pp. 1063–1072, 2020.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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