Response to “Discussion of ‘Can Corporate Governance Information Facilitate Accounting Fraud Detection? Machine Learning Evidence for Chinese Listed Firms’”

We would like to thank Davide Rizzotti for his thorough and constructive discussion of our paper. His comments raised several important points regarding both the methodological design and the broader implications of our findings in the Chinese institutional context. We offer our detailed responses to Davide Rizzotti’s discussion of our study (this issue), following the sequence presented in his discussion.

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Publication Details

Journal
˜The œInternational journal of accounting/International journal of accounting
Published
2025-09-03
DOI
https://doi.org/10.1142/s1094406025800046
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
0.00

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Response to “Discussion of ‘Can Corporate Governance Information Facilitate Accounting Fraud Detection? Machine Learning Evidence for Chinese Listed Firms’”

Minjoo Kim, Steven Xianglong Chen, Dong Yan
˜The œInternational journal of accounting/International journal of accounting
Auditing, Earnings Management, Governance
article

Response to “Discussion of ‘Can Corporate Governance Information Facilitate Accounting Fraud Detection? Machine Learning Evidence for Chinese Listed Firms’”

Minjoo Kim, Steven Xianglong Chen, Dong Yan
article en

Abstract

We would like to thank Davide Rizzotti for his thorough and constructive discussion of our paper. His comments raised several important points regarding both the methodological design and the broader implications of our findings in the Chinese institutional context. We offer our detailed responses to Davide Rizzotti’s discussion of our study (this issue), following the sequence presented in his discussion.

˜The œInternational journal of accounting/International journal of accounting
University of Liverpool (GB)
Chinese Government Scholarship
Openalex Percentile: Top 65%
Auditing, Earnings Management, Governance
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