Research on Relationship between Port Logistics and Economic Growth Based on VAR: A Case of Shanghai

Abstract

This paper considers the relationship between Shanghai port logistics and regional economic growth. Vector autoregression (VAR) model, Granger causality test, impulse response functions(IRF) are used based on the statistical data of Shanghai for the years from 1990 to 2017. The results indicate a long-term equilibrium relationship among variables. Besides, cargo throughput and container throughput, the chosen indexes to study port logistics exist a bidirectional causality. Cargo throughput is unidirectionally causal to economic growth.