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.

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Keywords

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