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Regional differences and pattern classifications in the efficiency of coal consumption in China

机译:中国煤炭消费效率的区域差异和模式分类

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This research, which was based on the data envelopment analysis (DEA) model and the Malmquist index, studies the difference for the period 2000-2012 in the efficiency of coal consumption and pattern classification in China's 30 provinces as well as the major eastern, central, western, and northeastern areas. Firstly, the static analysis results showed that the technical efficiency (TE) of China's coal consumption was 0.710, the pure technical efficiency (PTE) was 0.803, and the scale efficiency (SE) was 0.889. The PM, which needs to be further improved, was the main factor affecting the TE. The ranking for the TE of the four regions was the eastern region, northeast region, central region, and in last place the western region. The dynamic analysis results showed that the change index of China's total-factor of coal consumption efficiency was 0.899 and the average annual growth rate was -10.1%. Efficiency change (EC) and technical change (TC) of the average annual growth rate were -4.7% and -5.7%, respectively. The interaction of EC and TC resulted in a negative growth of the total-factor of coal consumption efficiency. The difference in the total-factor of the coal consumption efficiency among the four regions expanded each year. Secondly, by measuring the TE of China's coal consumption excluding environmental factors and then including environmental factors we were able to classify the coal consumption efficiency model of 30 provinces in China. Finally, we provided some policy suggestions aimed at improving the efficiency of China's coal consumption. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本研究基于数据包络分析(DEA)模型和Malmquist指数,研究了2000-2012年间中国30个省以及东部,中部主要省份的煤炭消费效率和模式分类的差异。 ,西部和东北地区。首先,静态分析结果表明,中国煤炭消费的技术效率(TE)为0.710,纯技术效率(PTE)为0.803,规模效率(SE)为0.889。需要进一步改进的PM是影响TE的主要因素。四个地区的TE排名为东部地区,东北地区,中部地区,最后是西部地区。动态分析结果表明,中国煤炭消费效率总因子变化指数为0.899,年均增长率为-10.1%。年均增长率的效率变化(EC)和技术变化(TC)分别为-4.7%和-5.7%。 EC和TC的相互作用导致煤炭消费效率总因素的负增长。四个地区之间煤炭消费效率总因素的差异逐年扩大。其次,通过测量不包括环境因素然后包括环境因素的中国煤炭消费的TE,我们可以对中国30个省的煤炭消费效率模型进行分类。最后,我们提供了一些旨在提高中国煤炭消费效率的政策建议。 (C)2015 Elsevier Ltd.保留所有权利。

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