沈阳工业大学学报（社会科学版）2017，Vol.10Issue(1)：64-70,7.DOI:10.7688/j.issn.1674-0823.2017.01.10
基于VAR模型的中国石油消费影响因素分析
Analysis of influencing factors of oil consumption in China based on VAR model
摘要
Abstract
Starting from the establishment of a vector auto-regression (VAR) model, impulse response function and variance decomposition method are used to study in detail the influence factors of domestic oil consumption.According to the calculation of the data, the effects of producer price index of domestic petroleum industry products, the output ratio between the second and the third industries, and population are significant on oil consumption, and the effects of GDP and crude oil prices are the least on oil consumption.The corresponding countermeasures are proposed according to the effects of various factors on oil consumption, so as to provide protection for national petroleum security.关键词
石油消费/VAR模型/脉冲响应/方差分解Key words
oil consumption/VAR model/pulse response/variance decomposition分类
管理科学引用本文复制引用
王艳秋,张青,王甲山..基于VAR模型的中国石油消费影响因素分析[J].沈阳工业大学学报（社会科学版）,2017,10(1):64-70,7.基金项目
国家社会科学基金资助项目(14BJY072,14BJY028) （14BJY072,14BJY028）
中国石油天然气集团公司软科学研究课题(20140208). （20140208）
