Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

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Analysis of Industrial Characteristics of China's Transportation Industry Based on Input-output Model

Authors
Yi Liu1, Di Wu1, Menghan Liu2, *, Jun Ma2
1Transport Planning and Research Institute, Laboratory for Traffic & Transport Planning digitalization, Ministry of Transport, 100028, Beijing, China
2Transport Planning and Research Institute, Ministry of Transport, 100028, Beijing, China
*Corresponding author. Email: liumh@tpri.org.cn
Corresponding Author
Menghan Liu
Available Online 29 December 2022.
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.

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Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-042-8_38
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_38How to use a DOI?
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

risenwbib
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  -