Research Article
Open access
Published on 20 May 2025
Download pdf
Zhang,J. (2025). Case analysis of financial fraud in Zhangzi Island based on the fraud triangle theory. Journal of Applied Economics and Policy Studies,18(4),1-7.
Export citation

Case analysis of financial fraud in Zhangzi Island based on the fraud triangle theory

Jintao Zhang *,1,
  • 1 Dongbei University of Finance and Economics, Dalian, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2977-5701/2025.22904

Abstract

This paper conducts an in-depth analysis of the financial fraud case of Zhangzi Island based on the Fraud Triangle Theory. The study identifies three key factors that drove Zhangzi Island's financial fraud: pressure, opportunity, and self-justification. Pressure stemmed from the risk of delisting due to consecutive losses for two years; the opportunity was due to internal control deficiencies and the difficulty of verifying biological assets; and self-justification was the management's rationalization of unconventional methods to ensure the company’s survival and development. The study suggests that enterprises should strengthen internal controls and cultivate a culture of integrity. Regulatory agencies should leverage modern information technology to enhance supervisory efficiency in order to effectively prevent and combat financial fraud.

Keywords

fraud triangle theory, Zhangzi Island, financial fraud, case analysis, preventive measures

[1]. Huang, S. Y., Lin, C. C., Chiu, A. A., & Yen, D. C. (2017). Fraud detection using fraud triangle risk factors. Information Systems Frontiers, 19, 1343-1356.

[2]. Rahman, M. J., & Jie, X. (2024). Fraud detection using fraud triangle theory: evidence from China. Journal of Financial Crime, 31(1), 101-118.

[3]. Li, Z. F., & Song, X. Y. (2020). Case analysis of financial fraud at Zhangzidao. Auditing and Finance, (07), 37–40. https://doi.org/10.19419/j.cnki.36-1264/f.2020.07.016

[4]. Zhou, Y. R. (2022). Case analysis of financial fraud at Zhangzidao Company. Pivot, (06), 84–86.

[5]. Zhu, X., Ao, X., Qin, Z., Chang, Y., Liu, Y., He, Q., & Li, J. (2021). Intelligent financial fraud detection practices in post-pandemic era. The Innovation, 2(4).

[6]. Sabatian, Z., & Hutabarat, F. M. (2020). The Effect of Fraud Triangle in Detecting Financial Statement Fraud. Jurnal Akuntansi, 10(3), 231-244.

[7]. Tan, L. Y. (2021). A review and reflection on the financial fraud case of Zhangzidao Company. International Business and Accounting, (01), 51–55.

Cite this article

Zhang,J. (2025). Case analysis of financial fraud in Zhangzi Island based on the fraud triangle theory. Journal of Applied Economics and Policy Studies,18(4),1-7.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Journal:Journal of Applied Economics and Policy Studies

Volume number: Vol.18
ISSN:2977-5701(Print) / 2977-571X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).