A Mathematical Statistics Analysis on Structural Deleveraging and Corporate Risk-Taking—Based on Data of China’s Non-financial Enterprises
- DOI
- 10.2991/978-94-6463-056-5_4How to use a DOI?
- Keywords
- Deleveraging; Structural Deleveraging; Risk-taking
- Abstract
Affected by deleveraging policies, bank loans and business credit vary widely among enterprises with distinctive characteristics. The fluctuating deleverage ratio affects enterprises’ investment behaviors, which in turn influences their risktaking. This paper takes 2012-2019 listed companies as research samples, establishes multiple linear regression model to analyze the impact of structural deleveraging of non-financial enterprises on corporate risk taking. The research results suggest that structural deleveraging of non-financial enterprises will significantly affect corporate risk-taking. Therefore, the government should continue to implement the "structural deleveraging" policy; Enterprises should strengthen debt transformation in order to reduce the level of corporate debt risk.
- 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 - Juan Wang PY - 2022 DA - 2022/12/29 TI - A Mathematical Statistics Analysis on Structural Deleveraging and Corporate Risk-Taking—Based on Data of China’s Non-financial Enterprises BT - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) PB - Atlantis Press SP - 16 EP - 21 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_4 DO - 10.2991/978-94-6463-056-5_4 ID - Wang2022 ER -