Evaluation of financial monitoring systems effectiveness in its relationship to the country's security indicators
DOI:
https://doi.org/10.12775/EiP.2024.026Keywords
financial monitoring, FATF, corruption perceptions, economic security, global terrorismAbstract
Motivation: The motivation for this research work is its potential to identify critical issues with far-reaching implications for economic security, governance and development, and to contribute to more informed decision-making in the area of countering the financing of terrorism.
Aim: The purpose of this research paper is to analyse the impact of the FATF (Financial Action Task Force) standards on crime and anti-corruption efforts and the effective implementation of the legal framework in countries.
Results: The article examines the relationship between crime, corruption, terrorism and FATF standards in 54 countries. Based on the regression analysis, the influence of crime, terrorism and perception of corruption on the effectiveness and compliance with FATF standards is investigated. The specific coefficients show that the perception of terrorism and corruption have a statistically significant negative and positive impact on the dependent variable, respectively, while the impact of the crime index is not statistically significant. By examining the impact of crime rates and anti-corruption efforts on FATF standards and the effective implementation of legal frameworks in countries, the study aims to provide information that can inform decision-making. Understanding how these factors interact can help to improve anti-money laundering and counter-terrorist financing strategies at both the national and international levels, including the improvement of financial monitoring systems. Understanding the relationship between crime, corruption and terrorism can have practical implications for various stakeholders, including law enforcement, government officials and international organisations. The findings are important for the implementation of effective measures to combat money laundering and terrorist financing, improve governance, security and overall socio-economic stability.
References
Anti-corruption (2020). International Chamber of Commerce. ICC - International Chamber of Commerce. Retrieved 20.01.2024 from: https://iccwbo.org/global-insights/integrity-and-good-governance/anti-corruption/.
Bastian Herre, Veronika Samborska, Hannah Ritchie, Joe Hasell, Edouard Mathieu and Max Roser (2023) - “Terrorism” Published online at OurWorldInData.org. Retrieved 20.12.2023 from: https://ourworldindata.org/terrorism.
Corruption Perceptions Index 2022. Explore the results. Transparency.org. Retrieved 20.01.2024 from: https://www.transparency.org/en/cpi/2022.
Crime Index by Country (2022). Cost of Living. NUMBEO. Retrieved 20.01.2024 from: https://www.numbeo.com/crime/rankings_by_country.jsp?title=2022.
Esoimeme, E. E. (2020). Balancing anti-money laundering measures and financial inclusion. Journal of Money Laundering Control, 23(1), 64–76. Retrieved 20.12.2023 from: https://doi.org/10.1108/jmlc-04-2018-0031.
FATF Consolidated assessment ratings. 2023. Home. Retrieved 20.01.2024 from: https://www.fatf-gafi.org/en/publications/Mutualevaluations/Assessment-ratings.html
Global Terrorism Index (2022). Countries most impacted by terrorism. Vision of Humanity. Retrieved 15.12.2023 from: https://www.visionofhumanity.org/maps/global-terrorism-index/#/.
Jayasekara, S. D. (2020). Deficient regimes of anti-money laundering and countering the financing of terrorism: agenda of digital banking and financial inclusion. Journal of Money Laundering Control, ahead-of-print(ahead-of-print). Retrieved 20.12.2023 from: https://doi.org/10.1108/jmlc-04-2020-0035.
Office on Drugs and Crime. (2020). Overview. United Nations. Retrieved 15.12.2023 from: https://www.unodc.org/unodc/en/money-laundering/overview.html.
Ramos, M. A., & Ashby, N. J. (2017). The halo effect: violent crime and foreign direct investment. Multinational Business Review, 25(4), 287–306. Retrieved 15.12.2023 from: https://doi.org/10.1108/mbr-04-2017-0020.
Seo, M. H., Kim, S., & Kim, Y.-J. (2019). Estimation of dynamic panel threshold model using Stata. The Stata Journal: Promoting communications on statistics and Stata, 19(3), 685–697. Retrieved 20.12.2023 from: https://doi.org/10.1177/1536867x19874243.
US SEC (2020). SEC enforcement actions; insider trading. US Securitiesand Exchange Commission. Retrieved 20.12.2023 from: https://www.sec.gov/reports.
Vision of Humanity. Destination for Peace. Vision of Humanity. Retrieved 20.12.2023 from: https://www.visionofhumanity.org/
World Bank Group. (2023). Combating Corruption. World Bank. Retrieved 12.01.2024 from: https://www.worldbank.org/en/topic/governance/brief/combating-corruption.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Valentyna Ksendzuk, DYMYTRII HRYTSYSHEN, LARYSA SERGIIENKO, IRYNA HRABCHUK, DMYTRO ZAKHAROV
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Stats
Number of views and downloads: 39
Number of citations: 0