Input-output benefit analysis of automobile industry based on grey correlation method

DOI

10.2991/978-94-6463-419-8_4How to use a DOI?

Keywords

whole vehicle enterprises; Grey correlation method; Input-output efficiency; financial data

Abstract

The automotive industry is an important pillar and strategic industry of the national economy, as well as an important area for stabilizing growth, promoting consumption, and ensuring employment. This article selects 11 listed vehicle companies as samples, and based on input-output theory, constructs a financial indicator system for input-output using the financial statement correlation data of the companies. The grey correlation method is used for systematic analysis, and based on the analysis results, countermeasures and suggestions for the sustainable development of China’s vehicle companies are proposed.

Copyright

© 2024 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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TY  - CONF
AU  - Hao Chen
AU  - Jiarong Li
AU  - Weiwei Bao
PY  - 2024
DA  - 2024/05/07
TI  - Input-output benefit analysis of automobile industry based on grey correlation method
BT  - Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)
PB  - Atlantis Press
SP  - 18
EP  - 24
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-419-8_4
DO  - 10.2991/978-94-6463-419-8_4
ID  - Chen2024
ER  -