Open Access
ARTICLE
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:
Intelligent Automation & Soft Computing 2020, 26(5), 1063-1072. https://doi.org/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 proposed to improve the low-carbon economic
efficiency of China’s steel industry.
Keywords
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.