Port container throughput reflects a national index to the trade growth and competitive position. As global firms pursuing the low cost factors, Mainland China has provided the resources with lower cost for the markets. And then, it is attracting outside investment into the market so that Mainland China's GDP is significantly high and reflects on its port throughput. From the regional economy view, the paper proposes Time Series ARIMA (p, d, q) model to predict the port container throughput. A real-world case of Mainland China ports is used for model test and the MAPE and Theil's U to evaluate the forecasting performance of model.