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Despite the vulnerability of rapidly developing and emerging market economies, researchers have paid less attention to the determination of the size of money laundering (ML) in these economies, including the United Arab Emirates (the UAE). Therefore, this paper aims to estimate the magnitude of ML in the UAE between 1975 and 2020 based on the currency demand approach (CDA).

The study uses the Gregory–Hansen cointegration technique alongside the autoregressive distributed lag bounds testing procedure to estimate the CDA model.

The results illustrate that an amount equivalent to about 19.034% of the GDP is laundered in the UAE between 1975 and 2020, on average, with the value lying between 15.129% and 23.121%. In addition, the results demonstrate the importance of the real estate market, gold trade, remittance channels and the size of the underground economy in facilitating the laundering of illicit funds in the country.

To the best of the authors’ knowledge, the study is the pioneering attempt at estimating the amount of illicit funds laundered in the UAE. Besides, the adoption of a novel, yet robust, approach based on the modification of the CDA technique also sets the study apart as it ensures a correct, clear, unambiguous and indisputable estimate of the magnitude of ML is obtained. In addition, it is expected that the outcome of the study will expand the frontiers of knowledge among policy makers and relevant agencies and ensure the adoption of the most efficient and effective measures to curb the ML menace in the country.

This study aims to examine the asymmetric effects of tax revenue policies on the economic activity of Oman.

This study applies the nonlinear autoregressive distributed lag model and uses data from 1980 to 2022.

The findings confirmed that economic activity has a cointegrating relation with the positive and negative shocks of the tax revenue policy and selected macroeconomic variables. In addition, the long-run results show that positive changes in tax revenues have a positive significant effect on the economy, while negative shocks in tax revenues have a negative effect on the economy at the 5% significance level. The study concludes that a significant long-term asymmetric relationship exists between taxation policy changes through the revenue channel for the economy of Oman.

No previous study has specifically investigated the asymmetric impact of tax revenue policies on the economy of Oman, which is an oil-dependent country. To the best of the authors’ knowledge, this study is the first attempt to explore this relationship with respect to the Omani economy, and it uses extensive time series data and employs various contemporary econometric techniques. Given Oman’s reliance on oil and gas revenues, which typically fund approximately 70% of the country’s annual budget through taxation on oil and gas sold, fluctuations in global oil prices directly influence country’s fiscal position. Thus, this study contributes to the literature by empirically confirming the asymmetries impact of fiscal (tax) policies on Oman’s economy. The implication of the results suggests that the government cut back on tax incentives and tax exemptions for local and foreign businesses. This move can foster economic growth and reduce the negative competition effect among investors and taxpayers, which may ultimately improve the country’s tax revenue.

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.

Despite the huge financial resources associated with oil, Nigeria has consistently recorded poor growth performance. Therefore, this study aims to examine how corruption and oil rent influence Nigeria’s economic performance during the 1996–2021 period.

Various estimation techniques were used. These include the bootstrap autoregressive distributed lag (ARDL) bounds-testing, dynamic ordinary least squares (DOLS), the fully modified OLS (FMOLS) and the canonical cointegration regression (CCR) estimators and the Toda–Yamamoto causality.

The bounds testing results provide evidence of a cointegrating relationship between the variables. In addition, the results of the ARDL, DOLS, CCR and FMOLS estimators demonstrate that oil rent and corruption have a significant positive impact on growth. Further, the results indicate that human capital and financial development enhance economic growth, whereas domestic investment and unemployment rates slow down long-term growth. Additionally, the causality test results illustrate the presence of a one-way causality from oil rent to economic growth and a bi-directional causal relationship between corruption and economic growth.

Existing studies focused on the effects of either oil rent or corruption on growth in Nigeria. Little attention has been paid to the exploration of how the rent from oil and the pervasiveness of corruption contribute to the performance of the Nigerian economy. Based on the outcome of this study, strategies and policies geared towards reducing oil dependence and the pervasiveness of corruption, enhancing human capital and financial development and reducing unemployment are recommended.

Up to now a country-specific study on Qatar with respect to underground economy, illegal money and tax evasion has not been undertaken. This paper aims to contribute by separately estimating the magnitude of the underground economy in Qatar from 1980 to 2010 using adjusted currency demand function.

The study uses the Zivot–Andrews unit root test for the stationarity analysis and applies the Gregory and Hansen long run cointegrating technique for estimating the underground economy based on the latest form of the currency demand function model. While the general to specific technique is used to estimate the short run error correction model.

The results show that the average size of the underground economy in Qatar is about 17.03 per cent of the official gross domestic products (GDPs). The average level of tax evasion as a per cent of the total non-oil tax revenues is estimated at around 16.50 per cent and is about 2.12 per cent of the official GDP. The average level of illegal money to the total money from banking sector is estimated at 26.70 per cent.

This study is the first to separately estimate the extent of the underground economy, illegal currency and tax evasion in Qatar. It overcomes the methodological errors and spurious estimation problems encountered in the previous studies that included Qatar with other countries based on cross-country data without taking into consideration the economic differences between countries. The authors believe that the findings may help the government of Qatar to re-formulate its economic policies, thus, enabling it to curb the growing underground economic activities.