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我国交通货物运输量的时间序列分析
Time Series Analysis of China’s Transportation Freight Volume
【摘要】 研究我国交通货物运输量与国内生产总值之间的协整关系,建立了货运量、货物周转量、国内生产总值(GDP)的ARIMA模型,对三者之间的Granger因果关系进行了研究,并建立了向量自回归模型.结果显示,交通货物运输量与国民生产总值之间没有协整关系,货物周转量是货运量、国内生产总值的Granger原因,但货运量、国内生产总值不是货物周转量的Granger原因.
【Abstract】 In this paper we deal with the relationship of China’s transportation freight volume, freight ton-kilometers and gross domestic product(GDP) using cointegration analysis. We search for appropriate ARIMA model for freight volume, ton-kilometers and GDP respectively. Standard granger noncausality tests are used to further study the relationship of freight volume, ton-kilometers and GDP. Furthermore, a vector ARMA model is built to analyse the dynamic relationships among them. The results show that there is no cointegration between freight volume, ton-kilometers and GDP, and ton-kilometers is granger causation of freight volume and GDP, but freight volume and GDP are not granger causation of ton-kilometers.
【Key words】 cointegration; ARIMA; granger causality; transportation freight volume; gross domestic product;
- 【文献出处】 系统工程理论与实践 ,Systems Engineering-theory & Practice , 编辑部邮箱 ,2005年01期
- 【分类号】F224
- 【被引频次】47
- 【下载频次】932