糖心原创

Home⇛Asia Pacific Journal of Management and Sustainable Development⇛vol. 13 no. 1 Part 5 (2025)

Causes, Preventive Practices, and Control Measures on Money Laundering Cases in China

Xu Dongsong

Discipline: Law

 

Abstract:

This study investigated the causes, preventive practices, and control measures of money laundering cases in China. Using a descriptive design, data were collected from 425 financial experts, legal professionals, and government officials through validated survey instruments. Majority of the respondents were between 26-35 years old, females, completed bachelor’s degrees and with an income of below 3,000 yuan. Money laundering cases were mostly attributed by organizational factors. International cooperation was regarded as the primary or leading preventive measure for money- laundering while judicial system was regarded the lowest among the measures. Internal measures are still perceived to be the best control measures on money-laundering. Highly significant difference in responses on causes of money laundering was noted on educational attainment and monthly income; there was a significant variation on responses on preventive measures of money laundering in terms of internal aspect; educational income and monthly income showed highly significant difference of responses. Causes and preventive measures on money laundering are highly significantly related; causes and control measures have highly significant relationship. Findings revealed that inadequate regulation, technological loopholes, and the increasing use of virtual assets are major drivers of money laundering. Effective AML practices, such as customer due diligence, regulatory advancements, and enhanced international cooperation, significantly mitigate these risks. However, challenges persist due to insufficient enforcement and limited public awareness. A proposed comprehensive anti-money laundering program was developed based on the results.



References:

  1. McCarthy, K. (2018). Money laundering processes: Placement, layering, and integration. Journal of Financial Crime, 25(4), 987–1002.
  2. Sun, L. (2022). Suspicious transaction reporting in China: Trends and challenges. Journal of Financial Crime, 29(1), 234–250.
  3. Zhou, Y. (2022). China’s collaboration with FATF: Progress and challenges. Journal of International Financial Management & Accounting, 33(3), 234–250.
  4. Liu, Q. (2021). Evolving financial crime tactics in China. Journal of Financial Crime, 28(2), 345–360.
  5. Cao, Y. (2023). China’s crackdown on underground banking: A case study approach. Asian Journal of Criminology, 18(1), 23–39.
  6. Zhao, Y. (2022). Money laundering risks in China’s real estate market. Journal of Property Research, 39(2), 123–139.
  7. Yang, J., & Tang, L. (2021). Vulnerabilities in China’s digital financial services. Journal of Financial Technology, 3(2), 89–104.
  8. Wu, Y., & Chen, X. (2022). Money laundering risks in China’s real estate sector. Journal of Property Investment & Finance, 40(3), 234–250.
  9. North, D. (1990). Institutions, institutional change and economic performance. Cambridge University Press.
  10. Williamson, O. (2000). The new institutional economics: Taking stock, looking ahead. Journal of Economic Literature, 38(3), 595–613.
  11. Li, J., & Chen, X. (2024). Institutional theory and AML effectiveness in China. Criminology & Public Policy, 23(1), 45–62.
  12. Jiang, H. (2022). Regulatory advancements in China’s AML framework. Journal of Financial Regulation, 8(2), 112–130.
  13. Xu, J. (2022). China’s AML landscape: A comprehensive review. Journal of Financial Crime, 29(2), 456–472.
  14. Zhang, Q. (2023). Descriptive-correlational methods in AML research. Journal of Financial Crime, 30(2), 301–317.
  15. Wang, L., & Li, Y. (2021). China’s AML policies: Challenges and opportunities. Journal of Money Laundering Control, 24(2), 301–318.
  16. Chen, H., & Li, X. (2022). Sampling techniques for AML research in China. China Finance Review International, 12(3), 345–360.
  17. Dai, M., & Xu, J. (2021). Customer due diligence in China’s banking sector. Journal of Money Laundering Control, 24(3), 456–470.
  18. Ali, A., & Patel, R. (2020). Financial intelligence units and global AML cooperation. Journal of Money Laundering Control, 23(4), 567–580.
  19. Chaikin, D. (2023). Public awareness and AML: A global perspective. Journal of Money Laundering Control, 26(2), 301–315.
  20. Cheng, L. (2022). Demographic profiling in AML research. Journal of Financial Crime, 29(4), 1234–1248.
  21. Deng, X. (2021). Technological risks in China’s fintech sector. China Economic Review, 68, Article 101623.
  22. Fang, Z. (2021). Public awareness campaigns for AML in China. Journal of Public Policy, 41(3), 567–582.
  23. Li, J., & Dou, Y. (2022). Transparency mechanisms in AML controls. Journal of Banking & Finance, 139, Article 106567.
  24. Ma, Y., & Xue, H. (2021). Legal sanctions and AML enforcement in China. The Journal of Criminal Law, 85(4), 301–317.
  25. Lin, Y. (2024). Regulating digital currencies in China: Challenges and prospects. Journal of Financial Technology, 6(1), 23–39.
  26. Zhang, Q., & Li, Y. (2021). Nationwide surveys on AML awareness in China. Journal of Public Policy, 41(4), 678–693.
  27. Chen, H., & Li, X. (2023). Internal compliance programs in Chinese banks. Journal of Financial Regulation, 9(1), 78–92.

Tools


Copyright © 2026  糖心原创 Exclusively distributed by