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Purpose: This study aims to employ bibliometric analysis to condense multiple studies into a single publication that not only gives insights into the growth and advancement of the research area but also establishes a future research agenda. This study provides a summary of advances in academic research on money laundering. The research includes bibliometric analysis and visualisation of bibliographic data using the Scopus database. The results of the study show that there has been a significant increase in the number of publications in the field of money laundering research, with topics focussed on specific areas. This study will also benchmark existing and preliminary themes, designs, and methodological choices for future money laundering research.

Methodology: With the help of the ‘visualisation of similarities’ (VOS) viewer open-source software, bibliometric analysis was performed using Scopus data. Citation analysis, topic mapping, country collaboration, co-citation analysis, and keyword co-occurrence analysis are some of the approaches used in bibliometric analysis.

Findings: Based on a bibliometric analysis of 1,391 research papers retrieved from the Scopus database over the past three decades (1990–2021), the study identified the most prominent authors, studies, journals, affiliations, and countries in the field of money laundering, as well as the most co-cited authors and journals. The writers also highlight future study issues in the field of money laundering.

Practical implications: The study’s findings might provide academics and practitioners with information on the present state of money laundering research and trend subjects. It can also be used as a guideline for identifying possible research gaps in the existing literature.

The emerging market economies, in particular, have become victim to the laundering activities which have damaged investment potentials, undermined governance, fostered crime and corruption, and decreased tax revenues. In this chapter, we construct a macrotheoretic framework to analyze money laundering in the form of tax evasion by individuals in an economy in the events of financial autarky and free trade. In other words, our theoretical model allows us to examine if movement from autarky to a state of financial integration whets the degree of financial malpractice like money laundering.

Sustainable development and the enhancement of justice and security globally are predicated on the existence of sufficient and appropriately deployed assets. Mindful of this, and of the misuse of both public and private wealth, UN Sustainable Development Goal 16.4 (SDG 16.4) seeks to ‘…significantly reduce illicit financial … flows’. This chapter critiques how this aim of SDG 16.4 has been operationalised. We argue that the choice and placement of the term ‘illicit’ is crucial: it can relate to the finances, the flows, or both, as well as to the people involved, as facilitators or protagonists, and is expansive enough to encompass criminal, unlawful and ostensibly legal but illegitimate or harmful assets, acts and actors. Moreover, this chapter explores why the movement of assets is significant, within and between jurisdictions, and how these transfers and transactions impact on sustainable development and can worsen inequalities. Our attention is on the conceptualisation, measurement and operationalisation of illicit financial flows (IFFs) in particular and the corresponding implications for available policy responses in the form of situational interventions as a more plausible route to understanding and reducing IFFs in the context of promoting SDG 16.4.

Corruption can take many forms. One of the most alarming aspects of corruption has been the impact of money laundering on financial markets. The amount of money laundered in the Asian region is estimated at approximately $200 billion, or one-fifth the global total. Some of the Asia-Pacific countries still lack any consistent anti-money laundering legislation. The Asia-Pacific region is also home to five of the six remaining non-cooperative countries and territories on The Financial Action Task Force's 2004 list. In this paper, I present a clinical examination of the impact of money laundering and Off-shore financial centres on Asian Pacific financial markets. I describe the money laundering cycle, tools and techniques utilized in the Asia-Pacific region as well as anti-money laundering measures and regulation.

Purpose: The study’s objective is to look at the link between money laundering and economic and financial performance, emphasising the effectiveness of the literature and possible later research directions using science mapping, which allows for scientific knowledge analysis.

Need for the Study: This study is related to a better understanding of the field’s historical evolution in terms of publications.

Methodology: This study used bibliometric approaches to analyse a sample of 660 studies from the Web of Science between 1994 and 2022, concentrating on keywords, author, paper, journal, and subject analysis. This study focused on performance analysis and scientific mapping of articles using the R package.

Findings: The empirical results indicated that the research field’s primary issues include corporate governance, fraud, machine learning, fraud detection, financial fraud, financial statement, corruption, earnings management, ethics, governance, financial reporting, bankruptcy, internal control, or performance. M. S. Beasly, D. B. Farber, E. M. Fich, R. Romano, and A. Shivdasani are the most well-known authors on the issue of money laundering and financial and economic performance. At the same time, the most typical journals are the Journal of Business Ethics, Journal of Money Laundering Control, Accounting Review, Journal of Financial Economics, and Journal of Corporate Finance.

Practical Implications: This study will act as a guide for researchers of various fields to evaluate the development of scientific publications in a particular theme over time, especially for those who are in the field of money laundering and financial performance.