Research on Relationship of Regional Logistics and Economical Growth Based on Cointergration Theory
Yin Dai
Abstract
Yin Dai
Abstract
The paper makes a unit root contrast test on time series,based on data of logistics and economical development from 1985 to 2011 in Chongqing,using ADF,DF- GLS and PP methods. It uses EG two- step method to make cointegration analysis and granger causality test on time series. Studies show that when analyzing the relationship between logistics development and economic growth,the logistics network mileage and freight volume as explanatory variables can cause the collinearity problems. Logistics output value and economic growth don't have cointegration relationship. Freight turnover and economic growth have not only cointegration relationship,but unidirectional granger cause. In other words,economic growth can induce an increase in freight turnover.
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The paper makes a unit root contrast test on time series,based on data of logistics and economical development from 1985 to 2011 in Chongqing,using ADF,DF- GLS and PP methods. It uses EG two- step method to make cointegration analysis and granger causality test on time series. Studies show that when analyzing the relationship between logistics development and economic growth,the logistics network mileage and freight volume as explanatory variables can cause the collinearity problems. Logistics output value and economic growth don't have cointegration relationship. Freight turnover and economic growth have not only cointegration relationship,but unidirectional granger cause. In other words,economic growth can induce an increase in freight turnover.
Key concepts: Cointegration, Granger causality, Econometrics, Collinearity, Unit root test, Economics, Unit root, Time series