Cheng Yan
11 Papers
Cheng Yan is an academic researcher. The author has contributed to research in topics: Computer science & Chemistry. The author has an hindex of 2, co-authored 7 publications.
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Papers
Influence of green innovation on disclosure quality: Mediating role of media attention
TL;DR: Wang et al. as discussed by the authors examined the data from Chinese listed companies for the years from 2003 to 2019 to investigate the effect of corporate green innovation behavior on information disclosure decisions, thereby clarifying how the outcomes of green innovation influence internal corporate decision-making.
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Corporate sustainability policies and corporate investment efficiency: Evidence from the quasi-natural experiment in China
Kung-Cheng Ho,Cheng Yan,Zhicheng Mao +2 more
TL;DR: This study examines the impact of green disclosure on firm investment efficiency in China, leveraging a quasi-natural experiment. Tightening green disclosure requirements significantly increases investment efficiency, primarily driven by reduced underinvestment among non-state-owned firms and firms with low institutional ownership.
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Energy related public environmental concerns and intra-firm pay gap in polluting enterprises: Evidence from China
Kung-Cheng Ho,Cheng Yan,Giray Gozgor,Yan Gu +3 more
TL;DR: This study examines the impact of energy-related public environmental concerns on pay gaps within polluting Chinese companies, finding a significant increase in executive-employee pay gaps due to rising executive compensation and stagnant employee income.
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Does ambiguity matter for corporate debt financing? Theory and evidence
TL;DR: In this paper , an ambiguity-averse manager holds the worst-case belief about EBIT growth, resulting in upward (downward) distortion of bankruptcy (restructuring) probability.
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Peer effects in the online peer-to-peer lending market: Ex-ante selection and ex-post learning
Kung-Cheng Ho,Yan Gu,Cheng Yan,Giray Gozgor +3 more
TL;DR: This study examines peer effects in China's online P2P lending market, Renrendai, finding that borrowers' success rates and default rates are influenced by peers, with implications for market efficiency and information asymmetry reduction.
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