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Chinese Industrial Energy Efficiency Evaluation Considering Carbon Emissions

机译:考虑碳排放的中国工业能效评估

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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 in1997-2008. 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.
机译:数据包络分析(DEA)可以有效地评估能源效率,但是很少有研究使用这种技术来考虑碳排放。本文基于1997-2008年的基于松弛的测度模型,对考虑碳排放的中国工业部门的能源效率进行了测度。结果表明,中国工业能源效率较低,平均得分(基于SBM)在0.26和0.35之间波动,并且趋势呈逐渐下降的趋势。通过比较分析,证明考虑不良产出的SBM模型可以更好地评估能源效率和工业低碳发展水平,后六个部门的能源效率极低,有很大的改进潜力。

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