Title :
Chinese Industrial Energy Efficiency Evaluation Considering Carbon Emissions
Author :
Ming, Cao ; Xiaoping, Wei
Author_Institution :
Sch. of Manage., China Univ. of Min. & Technol., Xuzhou, China
Abstract :
Data envelopment analysis (DEA) is effective to evaluate energy efficiency, but few studies use this technique considering carbon emissions. This paper measures Chinese industrial sector´s energy efficiency considering carbon emissions based on the slack-based measure (SBM) model in 1997-2008. The results show that Chinese industrial energy efficiency is relatively low, the average scores (SBM-based) fluctuated between 0.26 and 0.35, and the trend is decreasing gradually. By Comparative analysis, prove that SBM model considering undesirable outputs can better assess energy efficiency and the level of industrial low-carbon development, the last six sectors´ energy efficiency are extremely low and have great potentiality for improvement.
Keywords :
combustion; data envelopment analysis; emission; energy conservation; fossil fuels; Chinese industrial energy efficiency; carbon emissions; data envelopment analysis; slack-based measure; Biological system modeling; Carbon dioxide; Economics; Energy consumption; Energy efficiency; Energy measurement; Industries; DEA-SBM model; carbon emissions; energy efficiency;
Conference_Titel :
Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-61284-278-3
Electronic_ISBN :
978-0-7695-4350-5
DOI :
10.1109/CDCIEM.2011.453
