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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.

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 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.

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.

The purpose of this paper is to review the existing literature on project success in academic journals, specifically within the context of construction engineering and management (CEM). It also aims to provide a holistic picture of existing research and to identify research implications in this specific area.

The paper is an extensive literature review of a total of 164 peer-reviewed journal papers between 2007 and 2017, using a mixed bibliographic and bibliometric method that considers annual circulation, institutional and regional contributions, author contributions, citations, categories of research methods and keywords networking.

There has been an increasing research interest in CEM project success. The largest number of published studies targets the developed regions, especially in Hong Kong, whereas the papers related to the developing economies remain weak. Questionnaire, interview and case study have comprised the main data collection methods, and descriptive data analysis was performed in most of the case/field studies. The subtopic related to the critical success factors (CSFs) is considered as the most popular in the keywords network in the targeted research area. Four implications, namely, megaproject success, project success in developing countries, relationships between CSFs and success outcomes, and the influence of human factors are highlighted in future research.

This paper departs from earlier research by using a mixed bibliographic and bibliometric method, especially facilitating to analyze and illustrate the interlinkages between keywords effectively. Additionally, it provides a clear picture of the existing literature on CEM project success, which contributes to insights for successful construction project management. Finally, the holistic analysis identifies gaps in the body of knowledge, revealing avenues for future research.