巢湖学院学报2024,Vol.26Issue(4) :24-31.DOI:10.12152/j.issn.1672-2868.2024.04.004

云原生架构赋能破产重整企业信用修复的逻辑理路

Logic Path and Institutional Design of Cloud-Native Architecture Empowering Credit Repair for Bankrupt Enterprises

曾照茹 管涛
巢湖学院学报2024,Vol.26Issue(4) :24-31.DOI:10.12152/j.issn.1672-2868.2024.04.004

云原生架构赋能破产重整企业信用修复的逻辑理路

Logic Path and Institutional Design of Cloud-Native Architecture Empowering Credit Repair for Bankrupt Enterprises

曾照茹 1管涛2
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作者信息

  • 1. 合肥工业大学 文法学院,安徽 合肥 230009
  • 2. 武汉大学 法学院,湖北 武汉 430000
  • 折叠

摘要

现行破产重整信用修复制度存在立法体系化不足、监管部门权责模糊、信息治理能力较弱、差异化动态监管模式阙如,以及监督机制不完善等问题,掣肘破产重整企业信用修复的高质量、高效率运行.云原生架构与金融、物流等领域的融合已经取得良好成效,其分布式架构、DevOps、去信任化等技术特性与破产重整企业信用修复的系统化构建契合度较高.在现有的信用法治框架下,应进一步完善破产重整信用监管体系,厘清监管部门职责,提升监管部门的信息治理能力,加速构建差异化动态监管模式,助力统一大市场建设.

Abstract

The current credit repair system for bankrupt enterprises faces several issues,including insufficient leg-islative systematization,ambiguous responsibilities of regulatory authorities,weak information governance capabili-ties,lack of differentiated dynamic regulatory models,and imperfect supervision mechanisms.These issues hinder the high-quality and efficient operation of credit repair for bankrupt enterprises.The integration of cloud-native ar-chitecture with fields such as finance and logistics has already achieved significant success.Its features,such as distributed architecture,DevOps,and trustless technologies,align well with the systematic construction requirements of credit repair systems for bankrupt enterprises.Within the existing legal framework for credit,it is essential to fur-ther improve the credit supervision system for bankruptcy reorganization,clarify the responsibilities of regulatory authorities,enhance their information governance capabilities,accelerate the construction of differentiated dynamic regulatory models,and contribute to the establishment of a unified large market.

关键词

云原生架构/去中心化/破产重整/信用修复

Key words

cloud-native architecture/decentralization/bankruptcy reorganization/credit repair

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出版年

2024
巢湖学院学报
巢湖学院

巢湖学院学报

影响因子:0.207
ISSN:1672-2868
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