Economic statistical strategies for the transportation industry based on time-varying parametric state space models

Abstract

Under the new situation, the speed of economic development continues to accelerate, and under the influence of the modernization process, the transportation industry is more closely linked with the economy. To promote the sustainable development of the transportation industry, it is necessary to establish a scientific and effective economic statistics strategy to achieve steady economic growth. This paper designs a segmented time-varying parametric state space model based on the state space model to construct an economic statistical system for the transportation industry. By integrating and breaking the original design model, the structure, function, and statistical process of the system are optimized. The system is introduced into the transportation industry to analyze the application effect. According to the data, the economic revenue of the railroad transportation industry reached 464.293 billion yuan at the end of 2021, 45.48 times more than that of 10,208.81 billion yuan in 1986, and the market share increased from 23.23% in 2000 to 31.19% in 2021. The market share of waterway transportation industry, on the other hand, rose from 29.07% in 2000 to 32.87% in 2021. The share of capital investment in waterways and civil aviation continues to change in a downward trend from about 11% in the previous period. The economic statistics strategy can improve the economic efficiency of the transportation industry, so that the whole industry can gradually adapt to the current level of economic development and the needs of people’s life.

Keywords

• keyword state-space models
• transportation industry
• economic statistical systems
• market share
• transportation modes
• 62p20