An analysis of the determinants of money laundering in the United Arab Emirates (UAE)

Awadh Ahmed Mohammed Gamal

Abstract

Purpose: 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 MLs issue in the UAE, this study aims to examine the determinants of ML in the country between 1975 and 2020. Design/methodology/approach: 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. Findings: 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. Originality/value: 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. 2023, Emerald Publishing Limited.

References

Abu, N., Gamal, A.A.M., Sakanko, M.A., Mateen, A., David, J. and Amaechi, B.O.O. (2021), “How have COVID-19 confirmed cases and deaths affected stock markets? Evidence from Nigeria”, Contemporary Economics, Vol. 15 No. 1, pp. 76-100.

Achim, M.V. and Borlea, S.N. (2020), Economic and Financial Crime: Corruption, Shadow Economy, and Money Laundering, Springer Nature Publisher, Cham, Switzerland, pp. 1-71, doi: 10.1007/978-3-030-51780-9_1.

Aljassmi, M., Gamal, A.A.M., Abdul Jalil, N., David, J. and Kuperan Viswanathan, K. (2023), “Estimating the magnitude of money laundering in the United Arab Emirates (UAE): evidence from the currency demand approach (CDA)”, Journal ofMoney Laundering Control, doi: 10.1108/JMLC-02-2023-0043.

Alldridge, P. (2008), “Money laundering and globalization”, Journal of Law and Society, Vol. 35 No. 4, pp. 437-463.

Amjad, M.M., Arshed, N. and Anwar, M.A. (2021), “Money laundering and institutional quality: the case of developing countries”, Money Laundering and Terrorism Financing in Global Financial Systems, IGI Global, Publisher of Timely Knowledge, pp. 91-107, doi: 10.4018/978-1-7998-8758-4. ch004.

Ardizzi, G., Petraglia, C., Piacenza, M. and Turati, G. (2014), “Measuring the underground economy with the currency demand approach: a reinterpretation of the methodology, with an application to Italy”, Review of Income and Wealth, Vol. 60 No. 4, pp. 747-772, doi: 10.1111/roiw.12019.

Argentiero, A., Bagella, M. and Busato, F. (2008), “Money laundering in a two-sector model: using theory for measurement”, European Journal of Law and Economics, Vol. 26 No. 3, pp. 341-359. Determinants of money laundering

Bhattacharjee, M., Chowdhury, J.R. and Ghosh, D. (2020), “Financial integration, its implication for money laundering – an introspection”, in Bhattachayya, R. (Ed.), The Gains and Pains of Financial Integration and Trade Liberalization, Emerald Publishing Limited, Bingley, pp. 207-217, doi: 10.1108/978-1-78973-999-220191025.

Bin Belaisha, B. and Brooks, G. (2014), “Money laundering in Dubai: strategies and future directions”, Journal ofMoney Laundering Control, Vol. 17 No. 3, pp. 343-354, doi: 10.1108/JMLC-10-2013-0038.

Blore, S. and Hunter, M. (2020), “Dubai’s problematic gold trade”, in Page, M.T. and Vittori, J. (Eds), Dubai’s Role in Facilitating Corruption and Global Illicit Financial Flows, Carnegie Endowment for International Peace, Washington, DC, pp. 35-47.

Chong, A. and Lopez-de-Silanes, F. (2007), “Money laundering and its regulations”, Working Paper No. 590, Washington, DC: Inter-American Development Bank Research Department, available at: www.econstor.eu/bitstream/10419/51469/1/585535043.pdf

Chong, A. and Lopez-De-Silanes, F. (2015), “Money laundering and its regulation”, Economics and Politics, Vol. 27 No. 1, pp. 78-123.

Ferwerda, J., van Saase, A., Unger, B. and Getzner, M. (2020), “Estimating money laundering flows with a gravity model-based simulation”, Scientific Reports, Vol. 10 No. 1, pp. 1-11, doi: 10.1038/s41598-020-75653-x.

Ferwerda, J., Kattenberg, M., Chang, H.-H., Unger, B., Groot, L. and Bikker, J.A. (2013), “Gravity models of trade-based money laundering”, Applied Economics, Vol. 45 No. 22, pp. 3170-3182. doi:10.1080/00036846.2012.699190.

Financial Action Task Force (FATF) (2020), “‘Anti-money laundering and counter-terrorist financing measures – United Arab Emirates, Fourth Round Mutual Evaluation Report’, financial action task force”, Paris, available at: www.fatf-gafi.org/publications/mutualevaluations/documents/mer-uae-2020.html

Gamal, A.A.M. and Dahalan, J. (2015), “Estimating the size of the underground economy in the UAE: evidence from gregory-hansen cointegration based currency demand approach”, Review of Integrative Business and Economic Research, Vol. 4 No. 3, pp. 183-206.

Gregory, A.W. and Hansen, B.E. (1996), “Residual-based tests for cointegration in models with regime shifts”, Journal of Econometrics, Vol. 70 No. 1, pp. 99-126.

Hendriyetty, N. and Grewal, B.S. (2017), “Macroeconomics of money laundering: effects and measurements”, Journal of Financial Crime, Vol. 24 No. 1, pp. 65-81, doi: 10.1108/JFC-01-2016-0004.

Javaid, A. and Arshed, N. (2021), “Demand for money laundering in developing countries and its deterrence: a quantitative analysis”, Journal of Money Laundering Control, Vol. 25 No. 3, pp. 625-636, doi: 10.1108/JMLC-06-2021-0063.

Kirechu, P. and Vittori, J. (2020), “The illicit allure of Dubai’s luxury property market”, in Page, M.T. and Vittori, J. (Eds), Dubai’s Role in Facilitating Corruption and Global Illicit Financial Flows, Carnegie Endowment for International Peace, Washington, DC, pp. 59-66.

Medina, L. and Schneider, F. (2019), “Shedding light on the shadow economy: a global database and the interaction with the official one”, Working Paper No. 7981, Germany: CESifo, doi: 10.2139/ssrn.3502028.

Page, M.T. (2020), Dubai Properties: An Oasis for Nigerian Corrupt Elite, Carnegie Endowment for International Peace, Washington, DC.

Pesaran, M.H., Shin, Y. and Smith, R.J. (2001), “Bounds testing approaches to the analysis of level relationships”, Journal of Applied Econometrics, Vol. 16 No. 3, pp. 289-326.

Pietschmann, T. andWalker, J. (2011), “Estimating illicit financial flows resulting from drug trafficking and other transnational organized crimes”, Vienna: United Nations Office of Drugs and Crime (UNODC), available at:www.unodc.org/documents/data-and-analysis/Studies/Illicit-financial_flows_2011_web. pdf