Open Access

ARTICLE

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

by 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.

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Keywords

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