Review synthesizes anti-money laundering, tax evasion, and corruption insights, highlighting regulatory effectiveness.
This review synthesizes the contributions of Anas AlQudah and collaborators in the domain of financial crime, focusing on anti-money laundering (AML) mechanisms, tax evasion, corruption, and regulatory effectiveness. Drawing on five peer-reviewed articles, the paper identifies core themes and methodologies employed in analyzing financial crime across national and institutional contexts. Central to the analysis is the emphasis on empirical modeling techniques, such as panel ARDL, regression frameworks, and structural equation modeling, that link governance quality, institutional variables, and the suppression of financial crime. The studies collectively argue that robust institutional frameworks, government effectiveness, and macroeconomic stability are essential for mitigating financial crimes. The findings have clear policy implications for emerging economies navigating governance deficits and systemic corruption.
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Anas Al Qudah (2025) studied this question.
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