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Some African policymakers have turned their attention towards electronic transaction levy (e-levy) to maximise tax revenues in recent years due to the inability to meet revenue targets. However, some argue that the implementation of an e-levy will increase the tax burden (TB) and the currency outside banks (COB). Primarily, this paper examined the effects of the TB and COB on economic development as well as the impact of institutional quality on moderating the nexus.

This paper used structural equation modelling (SEM) and maximum likelihood (ML) estimation techniques on quarterised data from 1996 to 2020.

The results show that the TB negatively impacts gross domestic product (GDP) per capita and urbanisation but positively affects the Economic Freedom of the World Index (EFWI). The COB impacts EFWI, GDP per capita and urbanisation positively. Institutional quality moderates the TB and the COB, establishing positive relationships with the economic development indicators.

The findings strongly imply that the arguments that TB and COB are catalysts for tax evasion and corruption lack substantial empirical evidence.

The examination of the econometric impact of the COB on economic development is one of the first studies in the field. The paper recommends that to drive economic development and accelerate sustainable development goals (SDGs) achievement, tax revenues should be channelled into the productive sectors of the Ghanaian economy.

This study explored the tax evasion and corruption–economic development nexus in Ghana and the moderating role of institutional quality in this relationship.

To achieve this objective, this study employed the structural equation modelling (SEM) strategy and maximum likelihood (ML) estimation method on selected quarterised data from 1996 to 2020.

The study found that tax evasion has a positive impact on GDP per capita and urbanisation but a negative impact on the Economic Freedom of the World Index (EFWI). The study revealed that corruption has a positive relationship with GDP per capita but relates with EFWI inversely. Finally, the study found that institutional quality moderates the nexus between tax evasion and corruption and economic development.

The findings imply that the quality of state institutions has a significant impact on the government's ability to control tax evasion and corruption in order to drive economic development.

One novelty of the study is the examination of the combined effects of tax evasion and corruption as exogenous variables in a single econometric model. Again, to moderate the multivariate relationships of the study, the principal component analysis (PCA) was used to create an institutional quality index. The study recommends that policymakers implement comprehensive tax evasion and corruption reduction strategies simultaneously in order to increase tax revenues for economic development and SDGs achievement.

This study aims to examine the effect of corruption on the economic growth of Ghana and to establish the strength of relationships among corrupting activities.

The research used structural equation modelling on selected data from the World Economic Forum executive opinion survey on corrupting activities and data on economic growth measures from the world development indicators to achieve the research objectives.

The results show that all the observed corrupting activities (except diversion of public funds) adversely influence selected economic growth indicators. The study concludes that corrupting activities, independently and mutually impede Ghana’s economic growth.

The research is limited by the availability of data, hence, quarterised data on selected variables from 2008 to 2017 were examined.

The results suggest that corruption encapsulates all the seven activities of corruption to one degree or another, which are economic growth hampering.

The study extends the corruption-economic growth nexus literature by incorporating several corrupting activities from multiple sectors/areas as follows: the government and politicians, private businesses, judiciary and citizens into a single model to test how these independently and mutually impede economic growth. By identifying and using specific corrupting activities from distinct and diverse sectors/areas to capture both the supply side and demand side of corruption and the private and public sectors, a better comprehension of the corruption-economic growth nexus is attained. This may aid emerging economies and anti-corruption agencies in drafting specific and targeted corruption reduction policies/programmes to minimise poverty and raise living standards to aid the realisation of sustainable development goals.

In Ghana, even though scholars and experts in the field of economics and finance have expressed their opinions and perceptions on the effect of the pandemic on the Ghana Stock Exchange, there has been no study conducted to that effect. This study, therefore, aimed at examining the impact of COVID-19 on the stock returns on the Ghana stock exchange. This would help policy makers and investors in making efficient decisions.

The outbreak of the novel COVID-19 has been a thorn in the flesh of the world in its entirety, affecting many aspects of life including the stock market. This study, therefore, examined the impact of the outbreak on the stock returns of the Ghana Stock Exchange. The study utilized data from the All Share Prices of the Ghana stock exchange, commonly known as the Ghana stoke exchange composite index (GSECI) for analysis. The data covered the period before the outbreak of COVID-19 and during the outbreak. It was revealed that the Ghana stock exchange experienced better returns on the market before the outbreak of the virus. The outbreak of COVID-19 has led to wide variations in the market increasing the risk of investments. The exponential General Autoregressive Conditional Heteroscedasticity (EGARCH) (1, 1) model also reveals that the outbreak of COVID-19 has a significant negative effect on the returns in the market. The market in these periods of COVID-19 is highly volatile. It is recommended that investors should carefully consider risk mitigation strategies to enable them diversify their investments effectively and efficiently against the high risk associated with the market in this COVID-19 era.

It was revealed that the Ghana stock exchange experienced better returns on the market before the outbreak of the virus. The outbreak of COVID-19 has led to wide variations in the market increasing the risk of investments. The EGARCH (1, 1) model also revealed that the outbreak of COVID-19 had a significant negative effect on stock returns in the market. The market during these periods of COVID-19 was viewed as highly volatile.

The outbreak of COVID-19 is hence deduced to have a negative impact on the Ghana stock exchange. However, the knowledge of how the market has been affected by the disease, it is important that financial risk mitigation studies be undertaken. This goes beyond what this study has done. The study can further be expanded to include other important economic variables such as GDP, inflation, exchange rates and the likes in to the model.

Investors should carefully consider risk mitigation strategies to enable them diversify their investments effectively and efficiently against the high risk associated with the market in this COVID-19 era.

It is also important that investors consider diversification of their investments in order to reduce the risk in their investments. It will be more appropriate for most investors to invest with companies such as banks and the telecommunications companies listed on the on the market. This is because most of the telecommunication companies in these times have taken advantage and are making good profit on their businesses. Likewise, some of the financial institutions are considered essential institution in these times. Investing in industries such as manufacturing and the oil and gas sector may be more risky.

The decline in economic and financial market indicators could be credited to the failure of most business entities, organizations and firms which are struggling to sustain their operations in these times of COVID-19. These also include firms listed on the Ghana stock exchange with whom investors transact their daily businesses. However, about 70% of the Ghanaian economy heavily depends on these business and firms found in the private and informal sector. According to the Ghana Statistics Service COVID-19 Business Tracker Survey, about 131,000 businesses expressed their uncertainties with the business environment and also faced the challenge of financial accessibility. The study is appropriate to unearth the true effect and offer policy interventions.

This study aims to assess customers’ awareness and level of knowledge on electronic banking fraud.

A well-structured interviewer-assisted questionnaire was used to collect data from 400 clients of a case study bank. Data were analysed using descriptive statistics. Kendall’s coefficient of concordance (W) statistic was also estimated to track and rank the fraudulent activities identified by the respondents with respect to electronic banking.

This study found that respondents were aware of most of the specific forms of electronic banking fraud. Firstly, automated teller machinfraud is the most common scam for which customers are aware of. Secondly, institutional factors such as lack of monitoring and education of clients are major factors which expose the bank and clients to fraudulent electronic banking acts. Thirdly, the most effective action that can be taken to prevent fraud in the bank is increased security and personal identification number (PIN) protection education.

This study focusses on a universal bank and uses data from customers of only one branch of the bank to achieve the research objectives.

One uniqueness of this paper is in the adoption of Kendall’s coefficient of concordance (W) statistic to track and rank fraudulent banking activities. The findings will allow financial institutions to know the forms of current and innovative electronic banking fraudulent activities that customers are aware of. It will also enable the banks to find ways to inform their clients about emerging electronic banking fraudulent activities to prevent them from falling victims.

The study aimed at examining the current and future impact of climate change on cocoa production in West Africa.

A translog production function based on crop yield response framework was used. A panel model was estimated using data drawn from cocoa-producing countries in West Africa. An in-sample simulation was used to determine the predictive power of the model. In addition, an out-sample simulation revealed the effect of future trends of temperature and precipitation on cocoa output.

Temperature and precipitation play a considerable role in cocoa production in West Africa. It was established that extreme temperature adversely affected cocoa output in the sub-region. Furthermore, increasing temperature and declining precipitation trends will reduce cocoa output in the future.

An important implication of this study is the recognition that lagging effects are the determinants of cocoa output and not coincident effects. This finds support from the agronomic point of view considering the gestation period of the cocoa crop.

Although several studies have been carried out in this area, this study modeled and estimated the interacting effects of factors that influence cocoa production. This is closer to reality, as climatic factors and agricultural inputs combine to yield output.