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This paper examines the nexus between input credit access, farm performance and food nutrition in Ghana.

Using a random sample of 239 smallholder rice farmers, we utilized the endogenous switching regression model to address the self-selection issue and estimate the impact of input credit access on farm performance and food nutrition and further analyze the heterogenous impacts.

The results show that socioeconomic (age, education, sex, off-farm activity and farm size), institutional (extension contact and farmer-based organizations) characteristics and location variable significantly influence the decision to access input credit. After adjusting for both observed and unobserved factors, our findings reveal that access to input credit significantly improves rice yield, net profit and food nutrition of smallholder rice farmers in Ghana. Furthermore, results reveal that the effects of input credit access on rice yield, net profit and food nutrition are heterogeneous and subject to farmers’ propensity to access input credit. Specifically, we find that those with a higher inclination to access input credit experience larger positive impacts, indicating a positive selection process.

Access to agricultural input credit is essential for the adoption of modern and climate-smart technologies in agricultural production. However, the persistent lack of access to input credit hampers agricultural productivity and constrains investment in farm input resources in Sub-Saharan Africa. Our study calls for proper targeting of input credit interventions to incentivize the uptake of farm input credit such as improved seeds and fertilizers to improve overall crop production and achieve food security.

The study utilized rigorous econometric methods to analyze the impact of input credit access on smallholder rice farmers' farm performance and food nutrition in Ghana. The findings provide valuable guidance for policymakers and future research on agricultural development in Ghana.

This paper aimed to examine the impacts of agricultural services on welfare of rural farmers in Ghana.

Using data from 1431 rural maize farmers, we employ multinomial endogenous switching regression and multivalued inverse probability weighted regression adjustment to assess the impacts.

Results show that 19.8%, 9.7% and 3.42% of farmers adopted solely irrigation, extension and mechanization, respectively. Furthermore, utilizing a range of agricultural services significantly improves maize yields, gross income and per capita food consumption.

This study recommends strategies that target the adoption of combinations of agricultural services to enhance rural farmers’ welfare in Ghana and other developing countries.

While agricultural services are claimed to improve agricultural production and peasants’ welfare, their impacts are not studied exhaustively. This paper contributes by providing empirical evidence of the impacts of agricultural services on farmers’ welfare.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0745.

This study examined the impact of the Input Credit Scheme (ICS) by the Integrated Water Management and Agriculture Development (IWAD) on the productivity and food security of smallholder rice farmers in Ghana.

Cross-sectional data from 250 rice farming households in the Mamprugu Moagduri district of the North East Region obtained from a multi-stage sampling technique were used for the study. Inverse Probability Weighted Regression Adjustment (IPWRA), Propensity Score Matching (PSM) and Kendall's coefficient of concordance were the methods of analysis employed.

Empirical results show that education, rice farming experience, dependency ratio, FBO membership, farm size and farm age were the significant factors influencing participation in the input credit scheme (ICS). Also, participants had an average rice productivity of 1,476.83 kg/ha, whereas non-participants had 1,131.81 kg/ha implying that participants increased their productivity by about 30%. In addition, the study revealed that participant households increased their household dietary diversity (HDDS) by 0.45 points amounting to about 8% diversity in their diets. High-interest rates associated with credit received, the short periods of credit repayment and the high cost of inputs provided under the scheme were the most challenging constraints associated with partaking in the ICS.

The available literature on agricultural interventions have predominantly emphasized input credit as a key factor for improving cropt productivity and food security of smallholders. This study provides compelling evidence that participation in ICSs can result in substantial benefits for agricultural development, as evidenced by increased productivity leading to improved food security. The significance of these findings is highlighted by the fact that, through participation in input credit schemes, smallholder rice farmers in many developing countries see substantial improvement in their capacity to access productive resources, thereby improving their productivity, while simultaneously reducing food insecurity.

Leveraging on the improved productivity of participants in the ICS, this study advocates that such input credit schemes should scale up to more food-insecure farming communities in Ghana.

The study uses a doubly robust econometric approach to evaluate the impact of ICS on smallholder rice farmers' productivity and food security in Ghana, making it the first of its kind. The findings offer a solid basis for future research and provide guidance for policymakers looking to boost agricultural development in Ghana.

In view of the increasing trend in food policies targeting the promotion of consumer interest in locally produced foods and growing developments in willingness-to-pay (WTP) methodologies, the authors investigate consumer preference for packaged traditional drink asaana.

The study used a simple random sample of 336 consumers to draw on perception index and contingent valuation methods to evaluate consumers' perceptions of the attributes of packaged asaana – a traditional maize-based beverage produced in Ghana (also known as Ghana Coca-Cola). A tobit regression model was employed to analyze consumers’ WTP for the product.

Analyzing the factors that influence consumers' WTP for packaged asaana using the tobit regression model, the study established the existence of positive health and nutrition, economic benefits and purchasing decision-making perceptions for asaana. While the results further showed that consumers are willing to pay a premium for well-packaged asaana, demographics such as age, income level, labeling, price of the product and savings were found to exert significant influence on consumers’ WTP for packaged asaana. Salient recommendations for food processors and relevant government agencies and food policy implications are identified.

Comprehending WTP provides valuable understanding regarding consumer qualms, actions and WTP for more secure traditional drinks and an examination of how the different factors that influence WTP for local beverages help boost local beverage production and guarantee employment.

Analyzing WTP data for traditional drinks reveals important implications for production, marketing and public health policies. Certification systems for traditional beverages may be beneficial, and the findings can be used to create public awareness campaigns about the safety of local drinks.

Assessing the WTP among Ghanaian consumers for traditional drinks, specifically asaana, is a ground-breaking study. The contingent evaluation (CE) and tobit regression approaches utilized in this research are strong, and the results obtained can guide decisions related to traditional drink production, marketing and the development of public health policies.

Awareness of developments taking place in Africa is essential for non‐African economies, commercial interests, and investors; and also for governmental, diplomatic, and political interests. Reference librarians may find themselves faced with more and varied questions concerning African affairs and current events, and may be asked to supply more than just general answers about Africa. This article presents resources for developing an understanding of African affairs, and keeping up‐to‐date with African economics, governance, and development issues on a day‐to‐day basis.

This paper investigates the relationship between foreign direct investment (FDI) and poverty in Uganda.

Using annual time series data from 1983 to 2021, we use the autoregressive distributed lag bounds testing method to cointegration for test the above relationship. Considering the multidimensionality of poverty, we proxy poverty by three proxies: household consumption expenditure, infant mortality rate and life expectancy.

The findings reveal that FDI is important for poverty reduction in both the long- and short-run when using household consumption and infant mortality rate, holding other factors constant. This relationship is robust to alternative specifications and estimation methods. This paper establishes that FDI does matter for poverty reduction in both the short and long run. However, when life expectancy is used to proxy poverty, results show a positive relationship between FDI and poverty.

The long-run relationship between FDI and poverty largely suggests that tackling poverty may require reforming the economic environment by addressing bottlenecks that hinder economic growth, which is a key component in poverty reduction. Thus, it is important to ensure that government expenditure is directed to the productive sectors of the economy, such as education and infrastructure, among others that are paramount in expanding the productive capacity of the economy, which in turn is crucial for poverty reduction.

There is an emerging digital turn in urban management in Africa, undergirded by efforts to address the challenges of rapid urbanisation. To ensure that this digitalisation agenda contributes to smart and sustainable communities, there is a need to trace residents' use of emerging digital technologies and address any impediments to broader utilisation. To this end, this paper aims to examine the determinants of residents' use of Ghana's digital property address system (DPAS) in suburban communities in Accra.

Drawing on a detailed literature review of digital technologies and the factors that affect their use, this paper uses data from a cross-sectional survey of three suburban communities in Accra. A binary logistic regression model was then utilised to identify the significant factors that affect residents' use of the DPAS.

The findings showed that socioeconomic, housing, and psychosocial factors were the main determinants of residents' use of the DPAS. Specifically, house ownership, education and expected benefits had a positive relationship with residents' use of the DPAS. Findings highlight the need for urban policymakers to pay attention to systemic issues in Ghana's digital culture to ensure that digitalisation initiatives do not widen the digital divide and thus impede progress towards smart and sustainable urban development goals.

The growing scholarship on digitalisation in Africa has emphasised conditions, potentials and challenges in deploying digital technologies with little attention to the determinants of residents' use of these technologies. This paper contributes to filling this knowledge gap by bringing foundational issues critical to engendering equitable digitalisation agenda in Ghanaian cities and beyond.

This study aims to examine the mediating role of trainer preparation in the effect employee trainer self-efficacy has on trainer performance.

Using a census, data was collected from internal employee trainers in two universities in Ghana. In testing the hypotheses, a structural equation modelling based on 10,000 bootstrap samples was used, and the BCa confidence intervals were used to establish the significance of the hypotheses.

This study revealed trainer preparation as a complementary partial mediator in the effect trainee engagement self-efficacy and instruction self-efficacy had on trainer performance. In addition, the importance–performance map analyses demonstrated that the factor with the most importance in the model was instruction self-efficacy, yet it was not the highest-performing factor.

This study highlights the mediating role played by preparation in the effect of trainer self-efficacy on trainer performance. In addition, it adds to the dearth of studies that focus on employee trainers while at the same time using data from the trainers themselves.