Global Anti-Money Laundering Rules Cut Overall Crime but Backfire on Fraud and Corruption

For more than three decades, the Financial Action Task Force has acted as the world’s financial crime watchdog, pressing governments to criminalize money laundering, monitor suspicious transactions, and cooperate across borders. Its Forty Recommendations, first drafted in 1990 and rebranded in 2012 as the international standards on combating money laundering and the financing of terrorism and proliferation, have been endorsed by more than 205 countries and regions. Yet a persistent question has haunted policymakers and criminologists alike: does all of this regulatory machinery actually reduce crime? A new study by Guike Zhang of Peking University, Zengan Gao of Southwest Jiaotong University, and Daan Wang of the Southern University of Science and Technology, published in Global Public Policy and Governance, offers the most systematic cross-national answer to date, and the results are both encouraging and unsettling.

The research team assembled an original panel dataset covering 31 FATF member countries and regions, including Australia, China, Germany, India, Japan, the United Kingdom, and the United States, during the third round of FATF mutual evaluations from 2003 to 2015. Crime figures were drawn from the United Nations Office on Drugs and Crime database, Eurostat’s Crime and Justice Database, and official national statistical yearbooks, spanning seven core categories such as murder, assault, rape, robbery, theft, burglary, and motor vehicle theft, plus eight additional predicate crimes including drug offenses, corruption, fraud, forgery, extortion, kidnapping, trafficking in stolen goods, and environmental crimes. Compliance levels were quantified through a novel MER-AML index, built by converting the ratings that FATF assessors assigned to each recommendation, compliant, largely compliant, partially compliant, or non-compliant, into numerical scores and averaging them across all applicable recommendations for each jurisdiction and year.

Methodologically, the study is careful about causality. The authors employed a two-way fixed effects model that absorbs both country-specific characteristics, such as culture, geography, and legal tradition, and year-specific shocks, such as waves of economic globalization, while controlling for economic development, unemployment, urbanization, income inequality, education, gender ratios, population density, age structure, and population mobility. To address endogeneity, they turned to a two-stage least squares strategy built on three instrumental variables: the number of years since a country enacted its first anti-money laundering law, regime durability measured from the POLITY 5 database, and membership in the Egmont Group of financial intelligence units. Statistical tests rejected the possibility of weak instruments, and Hansen’s J test confirmed the validity of the over-identifying restrictions, lending credibility to the causal interpretation of the estimates.

The headline finding is striking: stronger compliance with international anti-money laundering standards significantly reduces the total crime rate. According to the fixed effects estimates, a 1 percent increase, equivalent to a 0.01 score improvement on the MER-AML index, corresponds to roughly a 0.2 percent decrease in the total crime rate, measured as offenses per 100,000 people. This result survived a battery of robustness checks, including rerunning the models with raw crime counts instead of rates and applying the instrumental variable estimation. The economics-of-crime logic behind this effect, rooted in Gary Becker’s classic deterrence framework, is straightforward: many crimes are financially motivated, and if the proceeds cannot be converted into clean assets, the expected payoff of offending falls.

However, when the researchers disaggregated crime into violent and property categories, the deterrent effect vanished. Neither murder, assault, and rape, nor robbery, theft, burglary, and motor vehicle theft showed any statistically significant response to AML compliance. The authors explain this pattern through the lens of the Walker Model, the pioneering framework developed by John Walker to estimate laundering volumes by multiplying offenses in each crime category by the average amount laundered per offense. In Walker’s original Australian estimates, an assault generated a mere 2.23 dollars in launderable proceeds and a homicide about 225 dollars, while a burglary yielded 600 dollars and a robbery 1,400 dollars. Violent and opportunistic property crimes simply do not produce the large financial flows that the AML system, which targets banks and designated non-financial businesses and professions, is designed to intercept.

The most provocative results emerged when the team examined the eight serious predicate crimes that feed money laundering. Kidnapping rates declined significantly where AML compliance was stronger, a pattern the authors attribute to the difficulty of laundering large, high-profile ransoms under intensified scrutiny. Drug crimes, forgery, trafficking in stolen goods, and environmental crimes showed no significant change. But corruption, fraud, and extortion moved in the opposite direction: higher AML compliance was positively and significantly associated with higher rates of these high-yield offenses, a result that directly contradicts the study’s initial hypotheses and echoes earlier skepticism about the regime’s effectiveness.

The authors liken this paradox to the so-called cobra effect, a term for policies that backfire by creating perverse incentives, and draw an analogy with American Prohibition, which inadvertently industrialized bootlegging. By restricting opportunities for criminals to launder their own proceeds, AML measures may stimulate demand for specialized, large-scale laundering services. Professional money launderers, whom the FATF itself has flagged as a growing threat, operate sophisticated schemes involving shell companies, false invoicing, and increasingly cryptocurrencies, spanning multiple jurisdictions. By lowering the operational risks and costs of laundering for their clients, these networks may inadvertently reduce the barriers to committing corruption, fraud, and extortion, the very crimes that generate the largest illicit proceeds.

The study also identifies institutional dynamics that may amplify these unintended consequences. Compliance fatigue can set in as regulatory burdens expand, pushing institutions toward box-ticking exercises that prioritize formal adherence over substantive enforcement. Enforcement fragmentation, meaning poor coordination between financial intelligence units, police, and courts, creates blind spots that professional laundering networks exploit. And symbolic compliance, the strategic performance of regulatory rituals without addressing structural risks, has been documented by scholars such as Riccardo Pol, Michael Levi, and Eleni Tsingou, who argue that a compliance industry has grown more focused on process than on impact. Scandals like the Panama Papers and Paradise Papers have reinforced concerns that financial secrecy persists despite the global regime.

Importantly, the authors do not conclude that the FATF framework has failed. The regime has built a shared normative foundation for financial integrity, raised the economic and reputational costs of illicit finance, and created an unprecedented platform for intergovernmental cooperation, with participation now approaching universal. Uneven implementation across jurisdictions, driven by differences in legal infrastructure, institutional capacity, and political will, remains a key constraint, but the absence of deterrent effects on some predicate crimes reflects the fact that crime is motivated by many factors beyond the need to launder money.

The policy implications are pointed. The authors argue that the FATF Recommendations should be recalibrated to target high-yield predicate crimes such as corruption, fraud, and organized crime more directly, that specialized operations against professional money laundering networks must be prioritized, and that future mutual evaluations should incorporate standardized, disaggregated indicators of crime trends and enforcement outcomes rather than relying on procedural metrics. They also call for integrating AML enforcement with anti-corruption initiatives, tax justice efforts, and organized crime suppression. The study’s limitations, including a sample restricted to FATF members and the absence of harmonized data on police density, judicial independence, and drug market size, point toward a natural next step: retesting these relationships once the fourth round of global mutual evaluations is complete. For now, the message is clear: the world’s financial defenses are working in aggregate, but the smartest criminals have found ways to turn those defenses into a business opportunity.

Subject of Research: The effect of FATF international anti-money laundering standards on national crime rates and predicate crimes

Article Title: Do the international anti-money laundering standards reduce crimes? Evidence from FATF members

Article References: Zhang, G., Gao, Z., & Wang, D. (2025). Do the international anti-money laundering standards reduce crimes? Evidence from FATF members. Global Public Policy and Governance, 5(3), 229-250. https://doi.org/10.1007/s43508-025-00120-0

Image Credits: AI Generated

DOI: 10.1007/s43508-025-00120-0

Keywords: anti-money laundering, FATF, financial crime, predicate crimes, corruption, fraud, money laundering, global governance, crime rates, policy effectiveness, professional money launderers, mutual evaluations