Optimising Eswatini’s Value-Added Tax (VAT) Threshold: Balancing Revenue Efficiency and Compliance Costs

Optimising Eswatini’s Value-Added Tax (VAT) Threshold: Balancing Revenue Efficiency and Compliance Costs

Authors: Masuku Phindile T; Mamba Lwemvelo

ISSN: 2709-8575
Affiliations: Manager Research – Research, Strategy and Statistics Division at the Eswatini Revenue Service; Senior Analyst – Research, Strategy and Statistics Division at the Eswatini Revenue Service
Source: African Multidisciplinary Tax Journal, Volume 5, Issue 1 (2025), p. 276–295
https://doi.org/10.47348/AMTJ/V5/i1a13

Abstract

Value-added tax (VAT), a consumption tax levied on value added at every stage of production in the value chain, was introduced in Eswatini in April 2012 to replace general sales tax (GST). At its introduction, it was set at a rate of 14%, and since 2012, the VAT registration threshold has been set at E500 000. However, due to inflation and the time value of money, E500 000 in 2012 is no longer the equivalent of E500 000 in 2024, hence the need to review and determine the optimal VAT threshold. This study uses a method based on the idea of collecting the most amount of VAT revenue from the least number of taxpayers to approximate the optimal level of a VAT threshold for Eswatini. This optimal level creates administration and compliance cost-efficiencies for both the tax administration and the taxpayer, respectively. The findings from the study show that the marginal changes to the number of registered taxpayers and the VAT to be collected from them converge at a VAT threshold in the range of E800 000 to E900 000 for Eswatini; at this level, 99% of VAT revenue collected comes from only 54% of VAT-registered taxpayers. Therefore, based on the methodology, the study recommends that the VAT threshold should be revised from E500 000 to E900 000 to allow for the cost-efficient collection of VAT in the country.

The Role of Electronic Tax Stamps System on Revenue Collection in Tanzania

The Role of Electronic Tax Stamps System on Revenue Collection in Tanzania

Authors: Innocent Nyamfulula; Cornel Joseph; August O. Kessy; Elly H. Mloso

ISSN: 2709-8575
Affiliations: Institute of Tax Administration, Tanzania Revenue Authority; Mkwawa University College of Education, University of Dar es Salaam; Institute of Tax Administration, Tanzania Revenue Authority; Institute of Tax Administration, Tanzania Revenue Authority
Source: African Multidisciplinary Tax Journal, Volume 5, Issue 1 (2025), p. 296–310
https://doi.org/10.47348/AMTJ/V5/i1a14

Abstract

This study examined the Electronic Tax Stamps (ETS) System’s role in revenue collection in Tanzania with a focus on cigarettes, beer and spirits. The results from a trend analysis show an increase in respective revenue in the immediate period after the introduction of the ETS system. Moreover, the estimated results from the regression with Newey-West standard errors show that the coefficient associated with the ETS is positive and statistically significant. Thus, the study concludes that ETS plays a critical role in improving excise revenue performance and fostering a more transparent and efficient fiscal system in Tanzania. The government and policymakers should continuous improvement of the ETS system so that it can contribute significantly to revenue collection. Also, the ETS System should be backed by a well-designed system of enforcement so as to realize a more positive contribution to revenue collection.

Digitalising Tax Compliance and Elevating Revenue Forecasting in Rwanda: Evidence from Statistical Modelling and Machine Learning

Digitalising Tax Compliance and Elevating Revenue Forecasting in Rwanda: Evidence from Statistical Modelling and Machine Learning

Author: Clement Uwizeye

ISSN: 2709-8575
Affiliations: Wageningen University & Research (WUR)
Source: African Multidisciplinary Tax Journal, Volume 5, Issue 1 (2025), p. 311–330
https://doi.org/10.47348/AMTJ/V5/i1a15

Abstract

This paper explores the dual role of digitalisation and advanced forecasting models in enhancing tax compliance and revenue prediction in Rwanda. It investigates the impact of electronic billing machine (EBM) adoption on tax performance, the comparative accuracy of traditional econometric models (Bayesian VAR) versus machine learning models (NNAR and Ensemble), and the policy implications of these findings. Using data from 2010 to 2023, the analysis reveals that while EBM usage has expanded significantly, its impact on tax revenue is limited due to enforcement and implementation challenges. Regression results indicate that trade openness, financial development and effective governance positively influence tax revenue, whereas corruption and remittance inf lows pose challenges. Forecasting models indicate a moderately optimistic outlook for tax-to-GDP and trade integration, with NNAR outperforming other models in predictive accuracy. The study concludes with key policy recommendations focused on strengthening digital compliance infrastructure, addressing corruption, supporting financial sector development and leveraging machine learning for more accurate fiscal forecasting. These insights are vital for designing evidence-based tax reforms and achieving sustainable domestic resource mobilisation in Rwanda.

Forecasting Tax Revenue Using Arima and Vector Autoregressiive (VAR) Modelling in Tanzania

Forecasting Tax Revenue Using Arima and Vector Autoregressiive (VAR) Modelling in Tanzania

Author: Masoud Mohammed Al-biman

ISSN: 2709-8575
Affiliations: Lecturer, Institute of Tax Administration (ITA), Dar-es-Salaam, Tanzania
Source: African Multidisciplinary Tax Journal, Volume 5, Issue 1 (2025), p. 331–352
https://doi.org/10.47348/AMTJ/V5/i1a16

Abstract

This article intends to examine whether times series approaches of ARIMA and VAR are effective in forecasting tax revenue. It also compares the two approaches to evaluate which is the more effective forecasting method. Quarterly data from 1996Q1 to 2016Q4 (21 years or 84 observations) are used to forecast the tax revenue for the period 2017Q1 to 2017Q4. Five common types of taxes are selected due to their significant contributions to Tanzania’s total tax revenue collected by the Tanzania Revenue Authority (TRA). Generally, the results reveal that both time series approaches are effective and demonstrate strong predicting power in short-horizon tax revenue forecasting. However, in most cases that the VAR model outperforms ARIMA modelling, especially based on forecasting criteria. However, we suggest that both methods to be applied by the TRA in forecasting tax revenue as their forecasting errors differ only slightly.

Going Concern(ed): Potential Challenges in Sale-of-Business Transactions

Going Concern(ed): Potential Challenges in Sale-of-Business Transactions

Author: Siyabonga Nyezi

ISSN: 2219-1585
Affiliations: Attorney of the High Court of South Africa
Source: Business Tax & Company Law Quarterly, Volume 16 Issue 2, 2025, p. 1 – 8

Abstract

One of the fundamental tenets of any sale-of-business transaction is that the business to be transferred must be a going concern, and be transferred as such. Not only is the concept of a going concern given life in the provisions of a sale-of-business agreement, it is also found in various pieces of legislation that apply to the transfer of a business. Examples include the Value-Added Tax Act 89 of 1991, the Labour Relations Act 66 of 1995 and, to some extent, the Companies Act 71 of 2008. Each of these statutes contains provisions where the status of a business as a going concern is a key consideration. As such, one might expect that the term ‘going concern’ ought to be defined in each of these Acts. That assumption would be incorrect, as none of these statutes provide a direct and objective definition of the term ‘going concern’.
This article examines the absence of a definition for ‘going concern’ in South African legislation applicable to the transfer of a business, and the risks arising from the lack of legislative clarity. The article considers the relevant provisions of the aforenamed statues. Absent a legislative definition, the article examines the attempts made by the courts to defi ne the term ‘going concern’ in two cases, namely, Kopeledi (Pty) Ltd v Madontsela and Others (2009) 30 ILJ 158 (LC) and NEHAWU v University of Cape Town (2003) 24 ILJ 95 (CC), and the challenges resulting from those definitions.
Thirdly, the article also explores the approach taken in the International Accounting Standards (IAS), and discusses the challenges also present therein. The article submits that, despite being an internationally accepted set of standards, IAS is not particularly instructive to the present cause.
The article then delves into the potential impact of all these lacunae on sale-of-business transactions, and concludes with an attempt at legislative drafting, proffering a proposal for what a definition of ‘going concern’ might look like.