首页|绿色信贷政策是否有效降低了重污染企业信贷风险

绿色信贷政策是否有效降低了重污染企业信贷风险

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绿色信贷政策承担着引导金融资源流入绿色发展领域、推进企业转型升级的双重任务,信贷风险管理是其实现任务的重要环节.文章根据2012年1月原银监会出台的《绿色信贷指引》,运用KMV模型测度重污染企业信贷风险即违约距离(DD),并构建双重差分模型(DID)实证分析绿色信贷政策是否有效降低重污染企业信贷风险以及验证其影响机制.实证结果显示,重污染行业间违约距离差异不显著,行业内违约距离总体上呈增加趋势,即信贷风险降低;《绿色信贷指引》的实施通过调整债务期限结构、提升环境信息披露质量显著降低重污染企业信贷风险,且国有企业、金融发展程度较高的地区企业对其更敏感.推动绿色信贷政策规范化、制度化及长效化实施,对增强银行信贷风险管控能力、推动企业高质量发展具有一定参考意义.
Does the Green Credit Policy Effectively Reduce the Credit Risk of Heavy Polluting Enterprises
The green credit policy bears the dual task of guiding financial resources to flow into the field of green development and promoting enterprise transformation and upgrading.Credit risk management is an important part of its implementation.This article is based on the"Green Credit Guidelines"issued by the former China Banking Regulatory Commission in January 2012,using the KMV model to quantitatively measure the credit risk of heavily polluting enterprises,i.e.default distance DD,and constructing a double difference model(DID)to empirically analyze whether the green credit policy is effective in reducing the credit risk of heavily polluting enterprises and its impact mechanism.The empirical results show that there is no significant difference in default distance between heavily polluting industries,and the default distance within the industry generally shows an increasing trend,indi-cating a decrease in credit risk;The implementation of the Green Credit Guidelines significantly reduces the credit risk of heavily polluting enterprises by adjusting the debt maturity structure and improving the quality of environmental information disclosure,and state-owned enterprises and enterprises in regions with higher levels of financial development are more sensitive to it.Promot-ing the standardization,institutionalization,and long-term implementation of green credit policies has certain reference signifi-cance for enhancing bank credit risk control capabilities and promoting high-quality development of enterprises.

green credit policyheavy polluting enterprisescredit riskdouble difference model

孙志红、罗桂香

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石河子大学经济与管理学院,新疆 石河子 832003

兵团金融发展研究中心,新疆 石河子 832003

绿色信贷政策 重污染企业 信贷风险 双重差分模型

国家自然科学基金兵团科普发展专项

722630292023CD004-02-14

2024

新疆农垦经济
新疆生产建设兵团农垦经济研究会 新疆生产建设兵团发展和改革委员会

新疆农垦经济

CHSSCD
影响因子:0.313
ISSN:1000-7652
年,卷(期):2024.(6)
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