Time Series Analysis for Viet Nam Container Cargo Movements - Implications for Port Policy Management

Abstract

Understanding about patterns container flows is very important for port planning, development and operation, in particular export-based economy like Viet Nam. Reliable and accurate estimated models of those data flows help decision makers produce efficient and effective long-term development plans. In this paper, we conduct the empirical research study by applying Autoregressive Integrated Moving Average (ARIMA), Box Jenkins Approach, to analyse structural relations and characteristics of container flows through ports in Viet Nam. By this, we propose suitable forecasting models and port management policies.