Seaports play a huge role in Vietnam's economy, being a border gate for economic and cultural exchanges with outsiders, especially the role of goods circulation. Container cargoes are one of the types of goods with large and increasing volume through Vietnam seaports. However, the heterogeneity between the seaport and the connected infrastructure greatly affects the capacity and efficiency of port investment. This is also one of the main causes leading to a shortage of goods, excess ports in some port areas. The root cause is that the planning has not kept up with the growth of the amount of goods arriving at the port, because the issue of forecasting the volume of goods through the port is not accurate. Therefore, it is necessary to develop models of forecasting container cargo through the ports with general, scientific, and high accuracy to serve the strategy, planning and development of seaport system; the work of planning and investment in the development of seaports, shipping fleets and other auxiliary transport infrastructure works. The purpose of this study is to build suitable forecasting models with high accuracy and reliability on the total volume of container cargo throughput of the Vietnamese seaport system. Based on the methods of a statistical survey, synthesis, regression analysis, and correlation to evaluate the influence of factors on container cargo volume through Vietnam's seaports in the period of 2004-2019. By incorporating more economic factors into the regression model, the paper focuses on forecasting container cargo through the Vietnamese seaport systems, going into cargo-based forecasting in tons and TEUs. The results of this study contribute to complete the rationale for forecasting, especially forecasts related to the shipping industry and the forecast for container cargo throughput of the seaport. Finally, selecting models for forecasting container cargo volume throughput of seaports by Vietnamese conditions.

Abstract
1. Introduction
2. Theoretical foundations and methodology
    2.1. Correlation between important indicators in socio-economic development and cargo throughput of seaports
    2.2. The basis for conducting forecasting
    2.3. Forecasting method
3. Building and selecting a forecasting model of containerized cargo through Vietnamese seaports
    3.1. Data
    3.2. Using extrapolation through a linear function
    3.3. Using extrapolation method by the regression model
    3.4. Select a model of forecasting containerized cargo throughput of Vietnam ports by year
5. Conclusions
References

• Tan Vinh Nguyen(Academy of Politics Region II, Ho Chi Minh City)
• Hoang Phuong Nguyen(Academy of Politics Region II, Ho Chi Minh City)