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复杂系统与复杂性科学  2025, Vol. 22 Issue (4): 8-14    DOI: 10.13306/j.1672-3813.2025.04.002
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无标度网络下ESG评分对信用风险传染的影响
刘学娟a, 张静怡a, 曹辉b
北京科技大学 a.经济管理学院;b.资源与安全工程学院,北京 100083
Influence of ESG on Contagion of Credit Risk Based on Scale-free Networks
LIU Xuejuana, ZHANG Jingyia, CAO Huib
a. School of Economics and Management; b. School of Resources and Safety Engineering, Beijing University of Science and Technology, Beijing 100083, China
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摘要 为研究ESG评分对企业间关联信用风险演化的影响,根据异质网络的平均场理论构建了考虑ESG评分的企业间关联信用风险传染模型,并基于BA无标度网络进行仿真模拟。研究发现:提升企业ESG评分可以有效控制信用风险传染,企业影响力较弱时提升企业ESG评分有利于抑制信用风险传染的企业数量,企业影响力较强时提升企业ESG评分有利于降低信用风险的传播速度;增大ESG评分在企业信用评价指标中的占比有利于控制企业关联信用风险传染。
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刘学娟
张静怡
曹辉
关键词 关联信用风险ESG评分传染病模型BA无标度网络平均场理论    
Abstract:In order to discover the influence of ESG score on the evolution of enterprise-associated credit risk, this paper proposed a contagion model of enterprise-associated credit risk considering ESG score based on the mean field theory of heterogeneous network, and the simulation is carried out based on the BA scale-free network. The study found that improving the ESG score is important for controlling the contagion of associated credit risk. Increasing the ESG score of such enterprises when their influence is weak is beneficial for suppressing the number of enterprises affected by associated credit risk. Increasing the ESG score of such enterprises when their influence is large is favorable for reducing the speed of associated credit risk contagion. Additionally, increasing the proportion of the ESG score in corporate credit evaluation indicators is also beneficial for controlling the credit risk contagion.
Key wordsassociated credit risk    ESG score    epidemic model    BA scale-free network    mean field theory
收稿日期: 2023-12-13      出版日期: 2025-12-10
ZTFLH:  N94  
  F830  
基金资助:教育部人文社会科学研究规划基金(23YJA790052);国家自然科学基金(72271049)
作者简介: 刘学娟(1982),女,河北沧州人,博士,副教授,主要研究方向为风险管理与可靠性管理。
引用本文:   
刘学娟, 张静怡, 曹辉. 无标度网络下ESG评分对信用风险传染的影响[J]. 复杂系统与复杂性科学, 2025, 22(4): 8-14.
LIU Xuejuan, ZHANG Jingyi, CAO Hui. Influence of ESG on Contagion of Credit Risk Based on Scale-free Networks[J]. Complex Systems and Complexity Science, 2025, 22(4): 8-14.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2025.04.002      或      https://fzkx.qdu.edu.cn/CN/Y2025/V22/I4/8
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