2022
DOI: 10.1007/s10551-021-05020-x
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Institutions and Corporate Reputation: Evidence from Public Debt Markets

Abstract: Using data from China's public debt markets, we study the value of corporate reputation and how it interacts with legal and cultural forces to assure accountability. Exploring lawsuits that change corporate reputation, we find that firms involved in lawsuits experience a decrease in bond values and a tightening of borrowing terms. Using the heterogeneities in legal and social capital environments across Chinese provinces, we find the effects are more pronounced for private firms, firms headquartered in provinc… Show more

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Cited by 11 publications
(4 citation statements)
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“…The existence of both peer-concealing effect of community fraud and peer-hinting effect of community punishment extends the conclusion of Gu et al (2022), arguing a possible substitute between legal and cultural forces in disciplining misconduct in emerging markets: fraudulent cultural forces tend to conceal fraud, while legal forces rebuild the moral orientation through cultural force.…”
Section: Empirical Analysissupporting
confidence: 71%
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“…The existence of both peer-concealing effect of community fraud and peer-hinting effect of community punishment extends the conclusion of Gu et al (2022), arguing a possible substitute between legal and cultural forces in disciplining misconduct in emerging markets: fraudulent cultural forces tend to conceal fraud, while legal forces rebuild the moral orientation through cultural force.…”
Section: Empirical Analysissupporting
confidence: 71%
“…Second, we examine the vicarious-punishment theory under specific conditions (Yiu et al, 2014, 2018), and extend the defection against alliance partners’ misbehavior to a more specific reaction (Lee & Zhong, 2020a), namely the peer-hinting effect. Third, we not only verify the effectiveness of the fraud triangle theory and trust triangle theory in developing countries (Cao & Zhang, 2021; Gu, Hasan, & Lu, 2022), but also explain how their pillars possibly interact. Fourth, we contribute to the social network literature by investigating how closely connected social network subgroups, namely communities, react to fraud and punishment (Bao et al, 2019).…”
Section: Introductionmentioning
confidence: 67%
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