Study on the Index System of Military Capital Construction Financial Risk Early Warning
Authors
An Liao1, *, Yan Peng1, Ni Ni2
1College of Electrical Engineering, Naval University of Engineering, Wuhan, 430033, China
2School of Accounting, Wuhan College, Wuhan, 430033, China
*Corresponding author.
Email: 542224496@qq.com
Corresponding Author
An Liao
Available Online 9 October 2023.
- DOI
- 10.2991/978-94-6463-256-9_63How to use a DOI?
- Keywords
- Military infrastructure; Index system; Analytic hierarchy process
- Abstract
To construct a scientific index system of military capital construction financial risk early warning is an important advance to implement financial risk early warning. This paper establishes corresponding indicators from four aspects of project management risk, capital risk, cost control risk and internal control risk, and quantifies indicators at all levels, and uses analytic hierarchy process to determine the weight of indicators at all levels, to ensure the scientific index system, and has strong practicability for the implementation of financial risk early warning.
- 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.
Cite this article
TY - CONF AU - An Liao AU - Yan Peng AU - Ni Ni PY - 2023 DA - 2023/10/09 TI - Study on the Index System of Military Capital Construction Financial Risk Early Warning BT - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) PB - Atlantis Press SP - 616 EP - 628 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-256-9_63 DO - 10.2991/978-94-6463-256-9_63 ID - Liao2023 ER -