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基于主成分回归模型的我国能源消费影响因素分析
引用本文:赵建辉. 基于主成分回归模型的我国能源消费影响因素分析[J]. 中国矿业, 2014, 23(1)
作者姓名:赵建辉
作者单位:中国地质大学(北京)地球科学与资源学院
摘    要:影响我国能源消费的因素有很多,这些因素之间存在较强的相关性。本文通过主成分分析法消除影响因素之间的多重共线性,提取影响能源消费的主要因素,然后与能源消费进行回归分析。研究表明经济发展、能源价格和产业结构是影响能源消费的主要因素,并且由此建立的回归模型具有较好的预测结果。

关 键 词:能源消费  主成分分析  回归分析
收稿时间:2013-05-08
修稿时间:2013-06-17

Analysis of Influential Factors of energy consumption in China Based on Principal Component Regression Model
ZHAO Jian-hui. Analysis of Influential Factors of energy consumption in China Based on Principal Component Regression Model[J]. CHINA MINING MAGAZINE, 2014, 23(1)
Authors:ZHAO Jian-hui
Abstract:there are many factors affecting energy consumption in China. There is a strong correlation between these factors. In this paper, we use principal component analysis to eliminate multicollinearity of the influence factors and extract the main factors affecting energy consumption, then we use regression model study the relationship between energy consumption and the main factors. Studies show that economic development, energy prices and industrial structure are the main influence factors of energy consumption in China, and the regression model has precise predicted results.
Keywords:energy consumption   principal component analysis   regression analysis
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