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Although economists and academics have studied money laundering for several decades, there continues to be gaps in the research due to a lack of reliable data on money laundering activity, and a lack of detailed sources and methods of collection in government-based reporting. The purpose of this study is to apply the Walker-Unger gravity model and examine US-based money launderer preference for the 2000-2020 time frame. This paper then compares those results with previous applications of the model and identifies trends, which may serve as the foundations of a money launderer preference theory. The results of the investigation ranked countries by preference of US-based money launderers and determined that there was consistency in country destination preference even during recessionary periods.

The Walker–Unger gravity model as applied by Roman et al. (2021) is used to conduct the investigation, to maintain consistency in the application of the Walker–Unger model and further the objective of validating the attractiveness simulation. The model tests the predictive capability of the independent variables to establish the degree of attractiveness each country represents for the funds of US-based money launderers. A score is generated by the model, which is then used to analyze and interpret its significance in relation to all sampled countries.

Model results reveal the countries with the highest attractiveness for US-based money launderers during 2000–2020 were Australia, the Bahamas, Bermuda, Canada, Cayman Islands, Norway, Monaco, Puerto Rico, Switzerland and the USA. Model results show that over the two decades the proportion of money flow scores changed but not to a degree that would alter the country preference of US-based money launderers. US-based money launderers tended to use the same countries for their illicit financial activities, regardless of the state of the legitimate economy.

One of the limitations of the model is that it does not show the effect of money laundering on legitimate economic activity.

The model results will give insight into the preferred destination of US-based money launderers and therefore frame one component of money laundering activities in the USA for the examined time period.

A secondary objective of this study is to evaluate if any changes to US-based money launderer preferences occurred during the three most recent periods of economic downturn in the USA.

The model results will give insight into the preferred destination of US-based money launderers and therefore frame one component of money laundering activities in the USA for the examined time period. A secondary objective of this study is to evaluate if any changes to US-based money launderer preferences occurred during the three most recent periods of economic downturn in the USA. The periods chosen are the 2001 9/11 terrorist attacks, the 2007/08 global financial crisis and the COVID-19 pandemic.

This paper aims to determine the preferable destinations of money laundered from Pakistan by using the Walker’s Gravity Model and to estimate the amount of money laundered through 156 countries. The research aims to facilitate policymakers and regulators to provide more efficient guidelines to counter the problem of money laundering.

This study uses a descriptive and quantitative approach. This study uses the Walker’s Gravity Model updated by Unger et al. (2006) to measure money laundering in Pakistan; Walker’s Gravity Model was first developed by John Walker in 1994.

The results indicate that Pakistani money launderers preferred countries having large financial sectors and political stability to hide their illegal money. In addition, the study estimates the amount of money laundered and shows that Pakistan has lost bulk of funds.

The major limitation is the non-availability of reliable data as the activity is hidden. Reliable data is either not available officially or scattered. Available data only reflect aspects that are reported. Non-availability of statistics for all years and countries resulted in the omission of some countries.

The study helps legislators and policymakers, including the Ministry of Finance, State Bank of Pakistan, Securities and Exchange Commission Pakistan, and other regulators, including law enforcement agencies and financial institutions, in formulating effective policies, regulations and internal control.

The study helps to identify the need of estimating the amount of money laundered to fight the problem effectively. Very few efforts have made to determine the size and the amount of money laundered, and this is the first study to determine the amount of money flowing out of Pakistan with the purpose of laundering.

The purpose of this paper is to review studies focusing on the magnitude of money laundering and their effects on a country’s economy. The relevant concepts are identified on the basis of discussions in the literature by prominent scholars and policy makers. There are three main objectives in this review: first, to discuss the effects of money laundering on a country’s macro-economy; second, to seek measurements from other scholars; and finally, to seek previous findings about the magnitude and the flows of money laundering.

In the first part, this paper outlines the effects of money laundering on macroeconomic conditions of a country, and then the second part reviews the literature that measures the magnitude of money laundering from an economic perspective.

Money laundering affects a country’s economy by increasing shadow economy and criminal activities, illicit flows and impeding tax collection. To minimise these negative effects, it is necessary to quantify the magnitude of money laundering relative to economic conditions to identify the most vulnerable aspects of money laundering in a country. Two approaches are used in this study: the first is the capital flight approach, as money laundering will cause flows of money between countries; the second is the economic approach for measuring money laundering through economic variables (e.g. tax revenue, underground economy and income generated by criminals) separately from tax evasion.

The paper offers new insights for the measurement of money laundering, especially for developing countries. Most methods in quantifying money laundering have focused on developed countries, which are less applicable to developing countries.

This study examines the new venue of moving illegal wealth from Pakistan under the umbrella of China–Pakistan Economic Corridor (CPEC). The study first discussed the features of CPEC in short and how it may bring stability and a new phase of development in the region and also in Pakistan. The review of related literature has suggested that previous studies are more focused on the advantages of CPEC and are almost neglecting the cons of the said project. Later, the research puts light on the problem of money laundering from Pakistan through CPEC and related trade transactions; Walker’s Gravity model has been used to calculate the attractiveness of money laundering. It has highlighted that China’s attractiveness for moving illegal wealth from Pakistan is increased in recent years; the risk of an increase in the amount of money laundered is also analyzed through the Fan Chart technique. Attributes which are making China more attractive for Pakistani wrongdoers are also discussed. The study aims to conclude that if the problem of money laundering will be addressed properly, the CPEC will play a vital role in bringing stability in Pakistan.

This study uses a descriptive and quantitative approach. This study uses the Walker’s Gravity Model updated by Unger et al. (2006) to measure money laundering in Pakistan. A newly developed technique for forecasting that is Fan Chart has been used to predict the trend of China’s attractiveness for money laundering as a preferred destination from Pakistan.

The study finds out that China is already increasing its ranking as a favorite destination for money laundering from Pakistan. Fan Chart analysis suggests that the attractiveness score will be increased.

The study helps in highlighting the problem of increase in money laundering from Pakistan through China under the umbrella of CPEC.

To the best of the authors’ knowledge, there is no study found on the topic of the problem of money laundering linked with CPEC, and this is the first effort to point out the problem.

The purpose of this paper is to interrogate if the legal status of a cannabis affects money laundering activity. The legal status of cannabis continues to evolve globally; at the same time, its market remains enormous. Much of this market represents dirty money from criminal acts, which often requires laundering. In the context of changing cannabis regulations, legislation, and policies, the authors propose the possible implications such changes may have on the extent of money laundering.

This paper proposes the implications of the evolution of cannabis regulations on money laundering activities, using the theoretical underpinning of rational choice. Using Australia as a replicable critical case study, the paper, using the Walker gravity model and using United Nations Office on Drugs and Crime-reported prices of cannabis from 2003 to 2017 and Australian Criminal Intelligence Commission reports empirically validates the effects of cannabis regulations on the proceeds available for laundering.

This study finds support for the argument that prohibitive measures toward cannabis use contribute to increases in the need to launder generated proceeds.

The findings can be replicated in other countries and may contribute to novel propositions within the debate on the legalization of cannabis use, which has, thus, far primarily focused on the areas of health, crime, taxation and education.

To the best of the authors’ knowledge, no study has yet attempted to provide an economic analysis of the effects of cannabis policy changes on money laundering.

Money laundering (ML) has become a significant challenge all over the world today. Trade-based money laundering (TBML) is a type of ML that poses a hazard to any country. In recent years, developed and developing countries have pursued liberal policies for international financial markets. The Financial Action Task Force (FATF) defines TBML as the process of concealing criminal earnings and shifting value through trade transactions in an attempt to justify their illicit origins. As international financial markets have improved ML controls, criminals have turned to the trade sector as a new venue, raising trade risks. The purpose of this study is to highlight the danger posed by TBML and the initiatives that should be taken to prevent such.

A review of publicly available reports, case studies, secondary data and literature on TBML from a variety of Sri Lankan and international contexts comprised the methodology. However, due to the dearth of literature on TBML details/information in the Sri Lankan context, international case studies have been analyzed. More critically, there are no precise estimates of TBML or defined protocols for collecting and maintaining TBML data. As a result, the FATF potential TMBL typologies were analyzed, and typical TBML procedures were examined to identify viable treats for Sri Lanka.

The study found that TBML has a significant effect on the economy and, as a result, social conflicts. Sri Lanka has the potential for TBML, and ML through financial institutions was identified as a major risk. Literature, on the other hand, shows that a large quantity of money has been laundered using TBML in Sri Lanka. The geographical location entices criminals to wash their illicit gains, and so the country has potential danger from South Asian countries. However, because of the sociopolitical climate in Sri Lanka, criminals are constantly looking for ways to profit illegally. Relaxing rules to promote foreign investment may encourage launderers to use their illicit proceeds. The government needs to take great care when dealing with this particularly delicate issue.

Due to the complexity of financial crimes, this study had a number of limitations, as do many others. The data used for this study was sourced from publicly available information and the TBML has been clearly defined or understood due to the fact that the complexity of the methods used by criminals. As a result, the number of local instances reported on TMBL is quite small, hence this study relied on international case studies.

This research on TBML in Sri Lanka is original. It is anticipated that the findings and contribution of the study would help the stakeholders develop TBML prevention measures.

It is widely argued that money laundering (ML) is not a new phenomenon and the pervasiveness of ML is associated with some severe economic, social and political costs. Due to the lack of studies on the ML’s issue in the UAE, this study aims to examine the determinants of ML in the country between 1975 and 2020.

The autoregressive distributed lag bounds testing results demonstrate the presence of long-run relationship between ML and the selected macroeconomics variables. The analysis is validated by the dynamic ordinary least squares, the fully modified ordinary least squares and the canonical co-integration regression estimators.

The estimation result reveals that while the real estate market, outflow of money, arms procurement and size of the underground economy influences the size of ML positively, gold trade, the level of financial development and the size of economic activities are negatively associated with ML, both in the short- and long-run.

Up to date from a country-level analysis, no study has been devoted to the ML in UAE, except for Aljassmi et al. (2023). To the best of the authors’ knowledge, this study is the first to investigate the determinants of laundered money in the UAE economy. Based on these outcomes, strategies and measures which will deter the laundering of illicit funds through the real estate and gold market, remittance system, financial system and arms procurement contracts in the UAE are recommended.

The paper aims at developing a global ranking system determining a country's appeal as a destination for money laundering.

This paper uses principal component analysis (PCA), with a mix of standardised and unstandardised components relating to attractiveness, economic freedom and money laundering risk to come up with an index of money laundering appeal.

Four components relating to economic feasibility, financial liberty, government spending and tax regime are critical in influencing a country's money laundering appeal.

This paper attempts to use a standardised and replicable methodology to condense into a single measure the complex and multifaceted phenomenon of a country's appeal as a destination for money laundering, thus avoiding the difficulty associated with precisely calculating illicit financial flows.

The ranking system could be used to determine the destinations attractive for laundering money. Such information can be used to come up with more effective preventative strategies to combat phenomena responsible for the stagnation of economic growth through tax evasion, corruption and creation of non-competitive markets.

It is the first attempt to use a statistical technique to understand the underlying components of a country's money laundering appeal.

Purpose: In this study, an attempt has been made to examine the compliance unit’s role in mediating the electronic government’s role in money laundering. E-government is clarified as the application of Information technology to encourage access and transfer of all aspects of government amenities and operations that impact transparency and accountability for the benefit of the people, trades, workforces and other stakeholders. The current study aims to assess whether the e-government can lessen or counterbalance the risks related to money laundering in the country and the mediating role of the compliance unit in reducing money laundering.

Methodology: This study practices structural modelling to assess the direct linkage between e-government and anti-money laundering and the indirect path between e-government and anti-money laundering that passes through the compliance unit as a mediator.

Findings: The findings prove that the compliance unit fully mediates the relationship between E-government and anti-money laundering. The direct path shows an insignificant relationship between e-government and money laundering, but this association becomes significant when the compliance unit is brought as a mediator.

Originality: This study directs that e-government runs on a sustainable ICT platform to improve transparency and accountability of all aspects of government facilities and actions for sustainable economic goals and help to diminish money laundering by enhancing transparency and accountability of government administration.