首页> 外文会议>The proceedings of 2010 international conference on probability and statistics of the International Institute for General Systems Studies.;vol. 2.;Applications on probability and statistics >Major Sectors of Chinese Industry Adjustment Strategy Analysis for Reducing Energy Consumption-Based on 36 Major Industrial Sectors Energy Demands Panel Co-integration Analysis
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Major Sectors of Chinese Industry Adjustment Strategy Analysis for Reducing Energy Consumption-Based on 36 Major Industrial Sectors Energy Demands Panel Co-integration Analysis

机译:中国主要行业降低能耗的调整策略分析-基于36个主要行业的能源需求面板协整分析

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This paper constructs the panel energy consumption model and defines the panel data for energy consumption and growth as well as energy efficiency for 36 major sectors of Chinese industry duringl9932007. Applying the panel unit root W test by IPS, we have concluded that the panel data is generated by the panel unit root process. This paper tests panel co-integration among three panel variables by Pedroni residual co-integration test and estimates the model with FMOLS proposed by Philips and Hansen. The results show that there is a panel co-integration relationship among the three panel variables which characterizes the energy consumption of the 36 major sectors of Chinese industry, and PVECM indicates a significant short-run adjustment from the panel cointegration, which implies the existence of the panel co-integration again. The conclusions and their implications in this paper can be taken as reference evidence for formulating a long-run energy strategy and short-run energy policies for China.
机译:本文构建了面板能耗模型,并定义了9933年2007年中国36个主要行业的能耗,增长以及能效面板数据。通过IPS应用面板单元根W测试,我们得出结论,面板数据是由面板单元根过程生成的。本文通过Pedroni残差协整检验测试了三个面板变量之间的面板协整,并使用Philips和Hansen提出的FMOLS估计了模型。结果表明,三个面板变量之间存在面板协整关系,这代表了中国36个主要行业的能源消耗,PVECM表明面板协整存在重大的短期调整,这表明存在面板协整。面板再次整合。本文的结论及其意义可以作为制定中国长期能源战略和短期能源政策的参考依据。

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