2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications 2014
DOI: 10.1109/isdea.2014.191
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Research on the Energy Efficiency Optimization in Guizhou Industrial Sector of China Based on the Combination of DEA and MPI

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“…Liu et al (2015) analyzed the energy efficiency of China's industrial sector using the network DEA model and proposed energy efficiency improvement methods [12]. Jiang (2014), Xie (2016), and Wang (2017) used the Malmquist index decomposition method based on the SBM-DEA model considering relaxation variables, using labor, capital, and energy consumption as input indicators to measure energy efficiency of China or individual provinces and cities [13][14][15]. Zhang et al (2017) used super-efficiency DEA method to evaluate China's low-carbon energy efficiency [16].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Liu et al (2015) analyzed the energy efficiency of China's industrial sector using the network DEA model and proposed energy efficiency improvement methods [12]. Jiang (2014), Xie (2016), and Wang (2017) used the Malmquist index decomposition method based on the SBM-DEA model considering relaxation variables, using labor, capital, and energy consumption as input indicators to measure energy efficiency of China or individual provinces and cities [13][14][15]. Zhang et al (2017) used super-efficiency DEA method to evaluate China's low-carbon energy efficiency [16].…”
Section: Literature Reviewmentioning
confidence: 99%