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Does line loss broaden the deviation between the added value of industry and the industrial electricity consumption in China?

机译:线路损失是否扩大了工业附加值与中国工业用电量之间的偏差?

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摘要

Studies have shown that industrial structure (IS) adjustment, climate factors, energy intensity, etc. factors are the reasons causing the deviation between the growth rate of industrial value added (IVA) and electricity consumption of industry (Ele) in China. However, no one researches whether line loss (LL), calculated in industrial electricity consumption in China, is one of the reasons contributing to the deviation. In order to thoroughly figure out what is the cause of the deviation, theoretical method, correlation analysis, autoregressive distributed lag (ARDL) model and an error correction model (ECM) have been undertaken in the paper. Experimental results are as follows: (1) LL fluctuates violently in accordance with temperature, while IVA is not; (2) the correlation between IVA and Ele becomes stronger, if LL is eliminated from Ele; (3) both in the long-run and short-run equation of ARDL model, IS is the first driver of Ele, followed by LL and IVA; (4) compared with International Energy Agency and based on the experimental results, the practice statistics of LL in Ele is not reasonable in China; (6) policies for promoting the upgrading of the internal industrial structure and for improving the statistical method of electricity consumption in China are proposed, finally.
机译:研究表明,产业结构(是)调整,气候因素,能源强度等。因素是导致中国工业增值(IVA)和电力消费的偏差(IVA)和工业电力消费的原因。然而,没有人研究了在中国工业用电量计算的线路损失(LL)是有助于偏差的原因之一。为了彻底弄清楚纸张中偏离,理论方法,相关性分析,自回归分布滞后(ARDL)模型(ECM)的原因是什么。实验结果如下:(1)LL按照温度剧烈波动,而IVA则不是; (2)如果从ELE消除LL,IVA和ELE之间的相关性变得更强; (3)在ARDL模型的长期和短期方程中,是ELE的第一个驱动程序,其次是LL和IVA; (4)与国际能源机构相比,基于实验结果,ELE中LL的实践统计数据在中国不合理; (6)提出了促进内部产业结构升级和改善中国电力消费统计方法的政策。

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