African Multidisciplinary Tax Journal

Publisher:
Juta Journals
Publication date:
2021-07-19
ISBN:
2709-8575

Description:

The African Multidisciplinary Tax Journal (AMTJ ) is an annual, applied scientific journal that is double-blind peer-reviewed. The journal publishes original high-quality research papers that use analytical, empirical and contemporary methods across the whole spectrum of taxation research. It is an initiative of the African Tax Administration Forum (ATAF), an international organisation that acts as a platform for promoting co-operation, knowledge sharing and capacity building among African revenue administrations (RAs) thereby reducing duplication of work. From its inception in 2009, when it was formally launched in Kampala, Uganda, ATAF has grown in stature and in influence. Today, ATAF is an important voice in taxation globally with its membership at 40 African tax administrations.

Issue Number

Latest documents

  • The Impact of Tax Lottery Design on Tax Compliance: A Lab Experiment in Tanzania

    Low tax compliance undermines tax revenue mobilisation in developing countries. Various countries have adopted tax lotteries and rewards as alternative strategies to promoting tax compliance. However, there is limited empirical evidence on how best to design tax lotteries. This study used a lab experiment to study the effect of tax lottery design on compliance. The study used two lottery designs – a lottery of high reward and low probability and a lottery of low reward and high probability. The study found that there was higher compliance (85.2%) for the high reward, low probability lottery compared to the 81.9% for the low reward, high probability lottery; compliance in the control group was 69.8%. Using logistic regression, the study estimated the treatment effect. A lottery of high reward and low probability has a higher treatment effect: 0.1554 compared to 0.1341 for the low reward, high probability lottery. This study concludes that the design of lottery rewards has a significant effect on compliance. It contributes to the literature on the effect of tax lottery design on tax compliance and highlights the need for strategically designing tax lottery rewards to encourage higher compliance.

  • Assessment of the Effectiveness of Tax Administration Reform on Tanzania's Tax Revenue Productivity

    This study assesses the effectiveness of tax administration reform on Tanzania’s tax revenue productivity by evaluating how the reforms have influenced the buoyancy of individual taxes using yearly time series data for 1996 to 2017. This period is associated with the introduction of massive reform in the Tanzanian tax administration. The study compares its results with those of Osoro, who evaluated the Tanzanian tax system productivity for 1960 to 1990. To ensure the comparability of results, this study used a similar methodological approach to that used by Osoro. The main objective of this study is to investigate if the reform that took place managed to generate enough tax. The results show that both the tax system and individual taxes are buoyant for the period under review. Our results suggest that the administrative tax reforms that took place have had a significant impact on revenue generation in Tanzania. Thus, we recommend that the government should continue conducting tax administrative reform to cope with the ever-changing business environment.

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

    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.

  • Implementation of Cooperative Compliance Programme in Africa: Which Way Forward for Kenya?

    This study aims to establish the way forward for designing and implementing a cooperative compliance programme (CCP) for Kenya. Specifically, the paper seeks to examine the current relationship management framework in Kenya through the lens of a cooperative compliance framework and explore the strategic options for Kenya in designing a CCP to meet its specific needs. The study adopts a mixed research approach: desk research, key informant surveys and focus group discussions. The study identifies gaps in the current relationship management framework that need to be addressed. These included the need to fully understand the unique characteristics of large taxpayers and the context in which tax planning occurs; proper planning and coordination of tax audits by various departments; better handling of tax disputes (which should be centralised and well-coordinated); prompt refund payment; and effective engagement of taxpayers in the formulation of new tax policies and amendment of tax laws. Further, the study proposes strategic initiatives for the design and implementation of a cooperative compliance programme in Kenya. The study concludes by providing a way forward for Kenya, which includes a multi-stakeholder approach to designing a cooperative compliance programme, piloting the programme before full adoption, and implementing the programme through a phased approach.

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

    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 inflows 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.

  • Leveraging Artificial Intelligence for Enhanced Tax Collection in Developing Nations: A Systematic Literature Review

    The integration of artificial intelligence (AI) into tax collection processes has emerged as a transformative approach in improving efficiency, accuracy and compliance for national governments. Despite its potential, literature on AI’s role in tax collection, especially in developing countries, remains scarce. This paper makes a contribution to this area by conducting a systematic literature review aimed at investigating the current state of AI implementation in tax collection in developing nations and identifying future research opportunities. The review synthesises findings from twenty selected studies published between 2014 and 2024.The findings indicate that AI facilitates tax compliance through its capacity to automate repetitive tasks, enhancing data processing capabilities and detecting anomalies for targeted enforcement efforts. Moreover, AI tools offer potential in reducing tax evasion by enabling real-time transaction analysis and value chain analysis, closing taxation loopholes and improving fraud detection mechanisms. However, responsible AI use remains paramount, necessitating the establishment of ethical frameworks, transparency measures and mechanisms for accountability to ensure user data protection and adherence to societal norms and legal standards. By compiling insights from diverse studies, this work presents a unique perspective and paves the way for additional research in this emerging field.

  • Understanding the Tax Payment Compliance of Companies: Evidence from Eswatini

    This article investigates corporate income tax (CIT) payment compliance among corporations in Eswatini, an underexplored area critical for revenue-constrained low- and middle-income countries. Using a unique administrative dataset (2017–2022), we analyse factors driving timely and full tax payments. We combine descriptive analysis with a more robust Heckman selection model to address sample selection bias. Results show that, while 82% of filed returns included payments, only 55% were fully compliant, and 42% were late. Compliance was higher among larger firms and those in urban tertiary sectors, while smaller and rural firms frequently overpaid, potentially due to penalties. Electronic payments exhibited the highest compliance, whereas mobile and cash payments lagged. Regression analysis highlights company size, provisional tax filings and electronic payments as key compliance predictors. This study contributes to the tax compliance literature with actionable insights for revenue authorities, from the simplification of tax processes for smaller firms to the larger implementation of electronic tax payments.

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

    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.

  • Economic Analysis of the Fairness of the Land Tax System in Benin

    This study provides an economic assessment of the fairness of property taxes, establishing a link between tax compliance and the performance of property tax collection in Benin. We first examine the distributional tools used to analyse the fairness of tax systems, namely the concentration curves and the Kakwani (K) and Reynolds-Smolensky (RS) synthetic indices. On the one hand, the results showed that in the municipalities covered by the study, namely Cotonou, Abomey-Calavi and Parakou, the tax concentration curves were higher than those of gross rental values. On the other hand, the calculated values of the indices that measure the extent of progressivity are too low, or even negative. These values range from -0.54 to 0.23 for the Kakwani (K) index, and from -0.17 to 0.0006 for the Reynolds-Smolensky (RS) index. Therefore, the property tax system in Benin is not progressive. Therefore, small landowners pay higher taxes than wealthy landowners. To improve the mobilisation of tax resources in Benin, the country’s authorities must adopt new land property valuation approaches to ensure the land taxation system is progressive.

  • Economic Assessment of the Impact of the Plastics Excise Tax on Plastic Waste Management in Ghana

    Ghana is one of a few African countries that have implemented a plastics excise tax for plastic litter control and prevention, and for revenue purposes. However, the impact of the Ghanaian plastics excise tax on plastic litter has not been assessed. The aim of this study, therefore, is to assess the impact of the plastics excise tax on plastics litter in Ghana using the goal attainment criterion. A qualitative research methodology was adopted: semi-structured interviews were conducted with relevant stakeholders using the purposive sampling technique. Excel was employed along with descriptive statistics. The study showed that the tax has, to some extent, helped to encourage recycling to create a market for plastic waste, which has reduced the plastic litter, but not to zero. The study also showed that the tax has helped to increase public awareness of the tax, but has failed to reduce the production and consumption of plastics as there is an increased demand for and consumption of plastics in Ghana. However, the tax has been successful in promoting international plastic waste technology transfers in Ghana: the number of recycling entities increased from two in 2008 to 30 in 2022, in a drastic reduction in plastic litter. Against this backdrop, the authors make the following recommendations to improve the plastics excise tax policy: (1) Introduction of direct and variable tax rates based on plastic types and weight at the household level to improve the incentive effect; (2) Government should enact legislation to make it mandatory for plastic manufacturers to recycle their plastic trash; (3) Government should provide subsidies for the production of plastic substitutes, such as paper bags, cloth carrying bags, jute bags, leather bags and shopping cane baskets, to make them attractive to consumers and reduce the demand for plastic bags; and (4) Tax rates should be adjusted to account for inflation.

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