Research on Optimization and Innovation Drive of State-Owned Enterprise Debt Structure Under the Background of Supply-Side Reform
- DOI
- 10.2991/assehr.k.200207.062How to use a DOI?
- Keywords
- deleverage, state-owned enterprise, debt structure optimization, asset liability rate
- Abstract
This paper studies the current situation of the imperfect debt structure of China’s state-owned enterprises under the new normal, leading to high leverage, high debts that are difficult to reduce, and the innovation-driven role of supply-side reforms of “three eliminations, one reduction, and one supplementation” on the optimization of state-owned enterprise debt structures. From 2012 to 2018, the comparison and trend analysis of asset-liability ratios of Chinese state-owned enterprises and industries as a whole revealed that the problem of high leverage is still difficult to reduce after three years of supply-side reform. Then, the principal component analysis method was used to explore the supply-side reform measures and The relationship between the debt structure of state-owned enterprises and an optimization and innovation path. The above research not only enriches the theoretical framework of mutual promotion between supply-side reform and state-owned enterprise reform, but also provides some reference for the optimization of state-owned enterprise debt structure.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yao Xie PY - 2020 DA - 2020/02/17 TI - Research on Optimization and Innovation Drive of State-Owned Enterprise Debt Structure Under the Background of Supply-Side Reform BT - Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019) PB - Atlantis Press SP - 401 EP - 406 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200207.062 DO - 10.2991/assehr.k.200207.062 ID - Xie2020 ER -