Table of Content

Open Access iconOpen Access

ARTICLE

crossmark

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. 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

APA Style
Xu, X., Shao, H., Yang, S., Chen, R. (2020). Low-carbon efficiency model evaluation of china’s iron and steel enterprises based on data and empirical evidence. Intelligent Automation & Soft Computing, 26(5), 1063-1072. https://doi.org/10.32604/iasc.2020.010137
Vancouver Style
Xu X, Shao H, Yang S, Chen R. Low-carbon efficiency model evaluation of china’s iron and steel enterprises based on data and empirical evidence. Intell Automat Soft Comput . 2020;26(5):1063-1072 https://doi.org/10.32604/iasc.2020.010137
IEEE Style
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," Intell. Automat. Soft Comput. , vol. 26, no. 5, pp. 1063-1072. 2020. https://doi.org/10.32604/iasc.2020.010137



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.
  • 1642

    View

  • 1006

    Download

  • 0

    Like

Share Link