2015年中国家庭能源消费:基于BVAR模型的预测

Qing Zhu, Yujing Guo, Genfu Feng
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引用次数: 13

摘要

本文通过对1980 - 2009年中国家庭能源消费现状的分析,建立VAR模型对中国家庭能源消费问题进行研究。首先,根据国内外文献,推导出影响HEC的主要因素。此外,测试结果表明,消费能力、人口和结构是决定HEC的主导因素。此外,本文还在分析框架中引入了BVAR模型,克服了VAR存在的样本量过大和过拟合的问题,并对“十二五”期间的能源消费变化进行了预测,同时利用历史数据信息本身通过ARIMA进行了同样的工作。在分析的最后,将BVAR模型和ARIMA模型的结果进行了比较,以证明本文BVAR模型的合理性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Household Energy Consumption in China: Forecasting with BVAR Model Up to 2015
In this paper, we establish VAR model to study the issue of household energy consumption (HEC) in China with status quo analysis of that from 1980 to 2009. Firstly, based on the previous literature of domestic and foreign, the main factors affecting HEC are derived. Besides, result from testing suggests that consuming capacity, population and structure are the leading power to determine HEC. Further, BVAR model is also introduced into the analytical framework to overcome the exceeding sample-size and over fitting existing in VAR. What's more, changes in energy consumption in the period of "the 12th five year plan" are forecasted that way, meanwhile, we do the same work via ARIMA with the historical data information itself. At the end of this analysis, comparison is made between the results from both the BVAR and ARIMA models to justify the reasonableness of BVAR in this paper.
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