Research on the Market Positioning and Suitable Cargo Value Range of “Yiwu-Xinjiang-Europe” Train Based on Data Model

Abstract

Abstract A new globalization initiative for strengthening economic integration and policy coordination provides new opportunities for trade cooperation between China and countries along the route. In this paper, the normalization method is used to assign values, determine weights based on the coefficient of variation of indicators, and carry out dimensionless processing of each indicator. The degree of data dispersion is determined, the equivalent time distribution is assigned, and the time cost coefficient ratio is used as the corresponding time cost. The weighted average is used to calculate the value of goods, considering the annual holding cost coefficient. And combined with relying on indirect measures to measure the overall trade cost, randomly perturbed error proxy terms, and alternative utility function elasticity invariant. The residual variance is predicted by replacing the effect of multilateral resistance, and the data-based model of “Yiwu-Xinjiang-Europe” is constructed. To verify the practicality of the model, the cargo trade results show that the total export trade of the “Yiwu-Xinjiang-Europe” train has increased significantly, and the value of foreign trade exports has increased by 18.72%. The volume of China’s trade decreased by 56.1% year-on-year. The volume of “Yiwu-Xinjiang-Europe” trains increased by 15.467% year-on-year. From this, we can see the strategy to promote the high-quality development of the “Yiwu-Xinjiang-Europe” China-Europe train in terms of market positioning, expanding the value of import and export cargo sources and improving the service level of the train.