Please wait a minute...
金融研究  2025, Vol. 539 Issue (5): 133-151    
  本期目录 | 过刊浏览 | 高级检索 |
媒体ESG报道情绪与公司债券风险溢价——基于信息传导视角的证据
邓国营, 李欣媛, 颜镜洲, 邓启运
四川大学经济学院,四川成都 610065
Media ESG Reporting Sentiment and Corporate Bond Risk Premium: Evidence from an Information Transmission Perspective
DENG Guoying, LI Xinyuan, YAN Jingzhou, DENG Qiyun
School of Economics, Sichuan University
下载:  PDF (830KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 本文以媒体对公司环境、社会和治理(ESG)实践的报道为切入点,系统考察报道情绪如何影响公司债券风险溢价。研究基于2009—2022年中国上市公司债券样本,采用远期密度模型对信用利差进行分解,识别其信息传导路径。研究发现,积极的媒体ESG报道情绪主要通过缓解投资者风险感知,进而降低超额风险溢价的方式发挥作用,而非直接改变公司基本面违约风险。该影响具有显著的条件依赖性:当公司信息披露质量较差、分析师覆盖不足、机构持股比例较低或审计质量欠佳时,媒体ESG报道情绪发挥更强的信息协同作用;当经济政策不确定性上升、信用风险集中暴露、重大安全生产事故频发以及市场信心低迷时,其预期修正效应更为显著。进一步分析表明,积极的媒体情绪能够显著增强ESG偏好投资者的资产配置意愿,而负面报道的持续积累则会推高风险溢价。本文为理解媒体在债券市场ESG信息传导中的作用提供了新视角,对完善我国绿色金融体系建设具有一定启示。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
邓国营
李欣媛
颜镜洲
邓启运
关键词:  媒体ESG报道情绪  债券信用溢价  信息不对称    
Summary:  While Environmental, Social, and Governance (ESG) considerations have gained prominence in global financial markets, persistent information asymmetries continue to impede efficient ESG pricing, particularly in emerging bond markets where institutional infrastructure remains underdeveloped. Traditional ESG information channels—corporate disclosures, regulatory filings, and third-party ratings—often suffer from limited timeliness, reliability concerns, and strategic reporting biases. These limitations create substantial information gaps that may distort investment decisions, elevate financing costs, and hinder optimal capital allocation toward sustainable projects. Understanding the information transmission mechanisms of ESG, becomes crucial for enhancing market efficiency and advancing sustainable finance development.
We investigate how media ESG reporting sentiment affects corporate bond risk premium through its information transmission role. Using 1,970 corporate bonds issued by 512 Chinese listed companies from 2009 to 2022, we analyze how media coverage shapes investor risk perception and bond pricing, distinguishing between fundamental risk changes and sentiment adjustments. We employ an innovative forward intensity approach developed by the Credit Research Initiative (CRI) to decompose credit spreads into default risk and excess risk premium components, providing more precise measurements than traditional approaches. Our empirical strategy addresses endogeneity concerns through an instrumental variable approach based on geographic proximity between firms and county-level integrated media centers.
We find that positive media ESG sentiment significantly reduces bond credit spreads—a one standard deviation improvement corresponds to a 3.44% decrease in spreads relative to the sample mean. Importantly, spread decomposition reveals this effect operates primarily through the excess risk premium channel rather than fundamental default probability, indicating that media sentiment influences investor expectations and risk perceptions rather than directly altering firm fundamentals.
Media ESG sentiment exerts stronger influence when traditional information intermediaries' function inadequately—specifically, when firms exhibit weak disclosure practices, limited analyst coverage, low institutional ownership, or poor audit quality. The effect intensifies during periods of heightened market uncertainty, including episodes of elevated economic policy uncertainty, concentrated credit market stress, frequent safety incidents, or deteriorating market confidence, when investors actively seek additional signals about firm stability. Further analysis reveals that positive media ESG sentiment enhances ESG-focused investors' asset allocation decisions, while consecutive negative media coverage significantly increases corporate credit spreads.
This research contributes by introducing precise credit spread decomposition methods, developing a comprehensive information coordination framework, and demonstrating that media ESG sentiment influences bond pricing through investor expectations rather than fundamental risk changes. Our findings provide crucial policy implications for China's green finance development, suggesting that regulators should strengthen media's role in ESG information dissemination while encouraging companies to diversify disclosure channels beyond traditional periodic reporting. These findings underscore the need to integrate green finance policies with ESG frameworks, enabling effective alignment between ESG evaluation systems and green financial instruments to enhance sustainable capital allocation.
Keywords:  Media ESG Reporting Sentiment    Bond Credit Premium    Information Asymmetry
JEL分类号:  G14   M14   D82  
基金资助: *本文感谢国家社会科学基金重大项目(23ZDA024)资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  颜镜洲,统计学博士,副教授,四川大学大学经济学院,E-mail: yanjingzhou036@163.com.   
作者简介:  邓国营,经济学博士,教授,四川大学大学经济学院,E-mail: dengguoying@scu.edu.cn.
李欣媛,博士研究生,四川大学大学经济学院,E-mail: lixinyuan22@stu.scu.edu.cn.
邓启运,博士研究生,四川大学经济学院,E-mail: dengqy@stu.scu.edu.cn.
引用本文:    
邓国营, 李欣媛, 颜镜洲, 邓启运. 媒体ESG报道情绪与公司债券风险溢价——基于信息传导视角的证据[J]. 金融研究, 2025, 539(5): 133-151.
DENG Guoying, LI Xinyuan, YAN Jingzhou, DENG Qiyun. Media ESG Reporting Sentiment and Corporate Bond Risk Premium: Evidence from an Information Transmission Perspective. Journal of Financial Research, 2025, 539(5): 133-151.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2025/V539/I5/133
[1] 方先明和胡丁,2023,《公司ESG表现与创新——来自A股上市公司的证据》,《经济研究》第2期,第91~106页。
[2] 黄俊和郭照蕊,2014,《新闻媒体报道与资本市场定价效率——基于股价同步性的分析》,《管理世界》第5 期,第121 ~ 130页。
[3] 姜富伟、孟令超和唐国豪,2021,《媒体文本情绪与股票回报预测》,《经济学(季刊)》第4期,第1323~1344页。
[4] 陆艺升、罗荣华和朱菲菲,2024,《机构投资者相机抉择与控股股东股权质押及其公司治理效应》,《经济研究》第7期,第111~129页。
[5] 罗伯特·席勒,2005,《媒体的非理性繁荣》,载世界银行编写组主编,《讲述的权利——大众媒体在经济发展中的作用》,中国财政经济出版社,第73~82页。
[6] 罗炜、何顶、洪莉莎和常国珍,2017,《媒体报道可以预测创业公司的发展前景吗?》《金融研究》第8期,第177~191页。
[7] 宋科、徐蕾、李振和王芳,2022,《ESG投资能够促进银行创造流动性吗?——兼论经济政策不确定性的调节效应》,《金融研究》第2期,第61~79页。
[8] 谭莹、王盼和张勋,2024,《数字金融发展的劳动力迁移效应——来自中国家庭追踪调查的微观证据》,《金融研究》第10期,第39~57页。
[9] 汪昌云和武佳薇,2015,《媒体语气、投资者情绪与IPO定价》,《金融研究》第9期,第174~189页。
[10] 王永钦和刘红劭,2024,《政策保障与中国债券市场高质量发展:一个统一的分析框架》,《管理世界》第5期,第1~27页。
[11] 肖红军,2024,《关于ESG争议的研究进展》,《经济学动态》第3期,第145~160页。
[12] 颜镜洲、罗德庆、李仲飞和邓国营,2025,《ESG不确定性和噪音对可持续投资的影响研究》,《系统工程理论与实践》,第1~27页.
[13] 游家兴和吴静,2012,《沉默的螺旋:媒体情绪与资产误定价》,《经济研究》第7期,第141~152页。
[14] 张金清、顾嘉乐和张乐平,2024,《企业ESG评级对债券信用利差的影响——基于发债企业和债券投资者双方的视角》,《金融论坛》第3期,第24~34页。
[15] 周泽将、汪顺和张悦,2023,《税制绿色化的微观政策效应——基于公司环保新闻文本情绪数据的检验》,《中国工业经济》第7期,第103~121页。
[16] 朱菲菲、吴偎立和杨云红,2023,《ETF、股票流动性与股价崩盘风险》,《金融研究》第6期,第169~186页。
[17] Agca, S., V. Babich, J. R. Birge and J. Wu, 2022, “Credit Shock Propagation Along Supply Chains: Evidence From the CDS Market”, Management Science, 68(9), pp.6506~6538.
[18] Baker, M. and J. Wurgler, 2006. “Investor Sentiment and the Cross-Section of Stock Returns ”, Journal of Finance, 61(4),pp.1645~1680.
[19] Davis, S., D. Liu and X. Sheng, 2019, “Economic Policy Uncertainty Since China: The View from Mainland Newspapers”, in: SITE Conference on the “Macroeconomics of Uncertainty and Volatility”, Working Paper.
[20] Deng, G., S. Ma, J. Yan, C. Shuai and H. Liu, 2024, “Dissecting the Impact of the Three E, S, G Pillars on Credit Risk”, Economic Analysis and Policy, 83, pp.301~313.
[21] Diamond, D. W. and R. E. Verrecchia, 1991, “Disclosure, Liquidity, and the Cost of Capital”, The Journal of Finance, 46(4), pp.1325~1359.
[22] Duan, J.C., J. Sun and T. Wang, 2012. “Multiperiod Corporate Default Prediction – A Forward Intensity Approach”. Journal of Econometrics, 170(1), pp. 191~209.
[23] Garcia, D., 2013. “Sentiment During Recessions”. Journal of Finance, 68(3), pp. 1267~1300.
[24] Gilchrist, S. and E. Zakrajšek, 2012. “Credit Spreads and Business Cycle Fluctuations”. The American Economic Review, 102(4), pp. 1691~1720
[25] Gurun, U. and J. S. Butler, 2012. “Don't Believe the Hype: Local Media Slant, Local Advertising, and Firm Value”. The Journal of Finance, 67(2), pp. 1645~1680
[26] Jia, Z., D. Li, Y. Shi and L. Xing, 2023. “Firm-Level Media News, Bank Loans, and the Role of Institutional Environments”, Journal of Corporate Finance 83, p.102491
[27] Krüger, P., 2015, “Corporate Goodness and Shareholder Wealth”, Journal of Financial Economics, 115(2), pp. 304~329.
[28] Kaviani, M.S., L. Kryzanowski, H. Maleki and P. Savor,2020. “Policy Uncertainty and Corporate Credit Spreads”. Journal of Financial Economics,138(3), pp. 838 ~ 865.
[29] Lins, K.V., H. Servaes and A. Tamayo, 2017. “Social Capital, Trust, and Firm Performance: The Value of Corporate Social Responsibility During the Financial Crisis”, Journal of Finance, 72(4), pp. 1785~1824.
[30] Merton, R.C., 1974. “On The Pricing of Corporate Debt: The Risk Structure of Interest Rates”, Journal of Finance ,29(2), pp. 449~470.
[31] Pástor, L. and P. Veronesi, 2013. “Political Uncertainty and Risk Premia”, Journal of Financial Economics, 110(3), pp. 520~545.
[32] Serafeim, G. and A. Yoon, 2023. “Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement”. Review of Accounting Studies, 28(3), pp. 1500~1530.
[33] Zou, J., J. Yan and G. Deng, 2023, “ESG Rating Confusion and Bond Spreads”, Economic Modelling, 129, p. 106555.
[1] 钱爱民, 肖亦忱, 吴春天. 国有股东委派董事能否改善民营企业信息不对称?[J]. 金融研究, 2024, 530(8): 132-149.
[2] 徐枫, 吕纤, 郑耀东. 银行竞争、卖空机制与企业融资约束[J]. 金融研究, 2024, 528(6): 132-150.
[3] 林志帆, 张浩然. 科创板注册制如何提升IPO定价效率?——来自双重差分模型的因果识别证据[J]. 金融研究, 2024, 527(5): 188-206.
[4] 蔡庆丰, 刘昊, 舒少文. 政府产业引导基金与域内企业创新:引导效应还是挤出效应?[J]. 金融研究, 2024, 525(3): 75-93.
[5] 叶永卫, 张静堃, 何凡. 常态化财会监督与企业资本市场定价[J]. 金融研究, 2024, 532(10): 169-187.
[6] 王勇, 窦斌, 宋培睿, 何昕晟. 管理层语调偏离会影响投资者决策吗?——基于我国上市公司文本与财务数据的经验研究[J]. 金融研究, 2023, 513(3): 169-187.
[7] 钱先航, 刘芸, 王营. 高管媒体从业经历与股价大跌风险——基于上市公司的实证研究[J]. 金融研究, 2023, 513(3): 150-168.
[8] 许晓芳, 陆正飞. 股权质押融资存在“柠檬现象”吗?——来自股价崩盘风险的证据[J]. 金融研究, 2023, 522(12): 56-73.
[9] 李倩, 程昱, 程新生. 产业链企业上市是否影响企业创新投资?[J]. 金融研究, 2023, 521(11): 153-169.
[10] 申丹琳, 江轩宇. 社会信任与企业劳动投资效率[J]. 金融研究, 2022, 507(9): 152-168.
[11] 郭照蕊, 黄俊. 高铁时空压缩效应与公司权益资本成本——来自A股上市公司的经验证据[J]. 金融研究, 2021, 493(7): 190-206.
[12] 宫汝凯. 信息不对称、过度自信与股价变动[J]. 金融研究, 2021, 492(6): 152-169.
[13] 陈关亭, 连立帅, 朱松. 多重信用评级与债券融资成本——来自中国债券市场的经验证据[J]. 金融研究, 2021, 488(2): 94-113.
[14] 杜立, 屈伸, 钱雪松, 金芳吉. 地理距离、契约设计与企业内部资本市场借贷风险防控——来自中国企业集团内部借贷交易的证据[J]. 金融研究, 2020, 482(8): 130-148.
[15] 苏冬蔚, 彭松林. 卖空者与内幕交易——来自中国证券市场的证据[J]. 金融研究, 2019, 471(9): 188-207.
[1] 贾君怡, 潘慧峰, 宋敏杰. 资管产品估值规范如何影响债券市场效率?——来自资管新规的证据[J]. 金融研究, 2025, 538(4): 39 -56 .
[2] 张龙耀, 李渊, 郜栋玺. 提低扩中:普惠金融能否实现益贫式增长?[J]. 金融研究, 2025, 539(5): 21 -38 .
[3] 张少辉, 余泳泽, 陶云清. 新型“政银担”模式与小微企业投资——基于风险共担的视角[J]. 金融研究, 2025, 539(5): 57 -75 .
[4] 王雄元, 王慧娴, 王子平. 竞争对手主持或参与标准制定与企业创新质量[J]. 金融研究, 2025, 539(5): 95 -113 .
[5] 孙传旺, 何一若. 低碳转型中差异化绿色金融政策的驱动机制与协同影响——基于引入多元绿色金融工具的DSGE模型[J]. 金融研究, 2025, 539(5): 114 -132 .
[6] 宗计川, 吴庆帮. 流动性冲击与系统重要性银行的稳定作用[J]. 金融研究, 2025, 538(4): 21 -38 .
[7] 江轩宇, 张明媚, 林雯. 银企数字化协同与企业信贷获取——基于银行贷款的经验证据[J]. 金融研究, 2025, 539(5): 39 -56 .
[8] 丁璇, 杨道广, 张新民. 中介机构固定搭配:“合作”抑或“合谋”——基于债券信用评级的经验证据[J]. 金融研究, 2025, 539(5): 171 -187 .
[9] 李贺, 李婧, 姜雪晴. 估值效应对国际收支延迟调整能力的影响研究[J]. 金融研究, 2025, 539(5): 1 -20 .
[10] 王筱澍, 胡涛, 宋芳秀. 信用衍生品发行对民营企业融资成本的影响——基于信用风险缓释凭证微观数据的研究[J]. 金融研究, 2025, 539(5): 76 -94 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《金融研究》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn
京ICP备11029882号-1