Analysis of Industrial Characteristics of China's Transportation Industry Based on Input-output Model
- DOI
- 10.2991/978-94-6463-042-8_38How to use a DOI?
- Keywords
- Input-output Analysis; Communications, and Transportation Industry; Influence Coefficient; Induction Coefficient
- Abstract
Transportation is a traditional and fundamental industry of the national economy. Using the input-output analysis method, this paper calculates the direct consumption coefficient, complete consumption coefficient, influence coefficient and sensitivity coefficient of China's transportation industry from 1992 to 2017. It analyzes the industrial development characteristics and evolution law of the transportation industry. China’s transportation industry has gradually entered the quality improvement stage from the quantity expansion stage. The economic relationship between the transportation industry and the secondary and tertiary industries is strong. The impact of transportation on the national economy is lower than the average level of the tertiary sector, and it is still an indispensable primary and productive service industry in the national economy.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yi Liu AU - Di Wu AU - Menghan Liu AU - Jun Ma PY - 2022 DA - 2022/12/29 TI - Analysis of Industrial Characteristics of China's Transportation Industry Based on Input-output Model BT - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) PB - Atlantis Press SP - 255 EP - 261 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-042-8_38 DO - 10.2991/978-94-6463-042-8_38 ID - Liu2022 ER -