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This paper aims to assess the choice of supermarkets for purchasing fresh agricultural products among urban consumers in Ghana.

Likert scale was used to investigate reasons for purchasing agricultural products from supermarkets, while heteroskedastic probit was used to estimate the determinants. Beta regression was used to examine the determinants of the proportion of food expenditure on raw/unprocessed agricultural products.

The principal reasons for purchasing agricultural products from supermarkets are convenience, a guarantee of assorted products, high-quality products and food safety, constant supply of products, conducive shopping environment, excellent customer service and social influence. The probability of purchasing agricultural products from supermarkets is high for consumers who are either males, young, educated, high-income earners or salaried workers. Consumers residing closer to supermarkets have a greater probability of shopping for agricultural products from same. The proportion of food expenditure on unprocessed agricultural products increases with age but decreases with education and distance to local markets.

Few prior studies have investigated supermarket’s surge in developing countries and its connection with consumer food-outlet choice. Unfortunately, little is evident in the extant literature on consumers' choice of supermarkets as purchasing outlets for fresh agricultural products. Hence, this study closes the gap on consumers and fresh agricultural product purchases from supermarkets in Ghana. Results from the study will provide grounding evidence to supermarket owners to adjust their services to meet consumers’ needs and provide relevant information to evolving supermarkets or investors who may venture into the supermarket business on the attributes that influence consumers to use supermarkets as a purchasing outlet.

This study aims to focus on the nexus between off-grid systems and impacts on islands and remote villages in Ghana by investigating the sources and cost of energy, willingness to pay for electricity and impacts of off-grid energy on the local economy, education, health, social activities, the environment and migration.

Data were obtained from 110 households; heterogeneous impact analysis of off-grid technologies, average treatment effect by inverse probability weights (IPW) and inverse probability weighted regression adjustment (IPWRA) models were used to analyse the data.

The sources of energy are gas, kerosene, wood fuel and dry-cell battery. All households in communities with neither electricity nor off-grid system were willing to pay for electricity. Households without off-grid systems (US$8.1) were willing to pay higher amounts per month for electricity. The off-grid technologies improve the local economy, social activities, security, the environment, education and health as well as reduce out-migration.

Most of the literature on mini-grid/off-grid systems have been from the engineering and the technical perspective, with a few on the socioeconomic impacts of the systems and consumer engagements. Besides, methods including descriptive statistics, energy technology sustainability framework and qualitative analysis were used in these studies. Nevertheless, the authors used a more rigorous method of the doubly robust inverse probability weighted regression adjustment model and a heterogeneous method to model the impact analysis of off-grid systems.

Credit is essential in the farm business because it facilitates the adoption of productive technologies such as irrigation. However, access to credit remains a significant hurdle for sub-Saharan Africa, including Ghanaian farmers. Therefore, the authors assessed credit utilization and the intensity of borrowing by irrigated rice farmers in the Upper East region. In addition, how extension moderates the amount borrowed was analysed.

The multistage sampling approach was used in the study. The Tono and Vea irrigation schemes were purposively selected. Proportionally, 318 rice farmers were sampled from the Tono irrigation scheme and 159 from the Vea irrigation scheme. Cragg's double hurdle and moderation analysis were used.

It was uncovered that gender, age, years of farming, total farm size, rice farm size, contract farming and off-farm employment explain farmers' decision to borrow. On the other hand, the intensity of borrowing was influenced by gender, age, years of farming, rice farm size, contract farming and the number of extension contact. The moderation analysis revealed that extension contact improves the amount borrowed by farmers.

While there are irrigated rice farmers in other regions of Ghana, this study was limited to rice farmers under the Tono and Vea Irrigation schemes in the Upper East region.

This study investigated the moderating role of extension contact on amount borrowed in Ghana. This makes a modest addition to the limited literature on the moderating role of extension and credit access.

The paper aims to examine fall armyworm's (FAW) effect on Ghana's farming households' income and food security status.

A sample of 225 farmers, including FAW-infested households and non-FAW-infested households, were interviewed. Gross margin (GM) analysis was used to estimate farmers' farm revenues, and the Household Food Insecurity Access Scores (HFIAS) was employed to measure the food security status of the households. The seemingly unrelated regression (SUR) was adopted to investigate the effect of FAW infestation on gross income and food security.

From the study, FAW attack is predominant during the vegetative stage of the maize plant. The empirical results revealed that FAW-infested farms incur loss, whereas non-FAW-infested farmers gained profit. Also, FAW-infested households were mildly food insecure, while non-FAW-infested households were food secured. The results of SUR analysis reveal that FAW infestation decreased farmers' income from maize production and rendered them food insecure.

One limitation of this study is that it largely depended on a survey; however, future studies can combine both survey and experimental data from the farmers' fields during minor and major growing seasons of maize.

Given the negative consequences of FAW, studies have been conducted across Africa and globally. However, most of these studies concentrated on using geographic information system (GIS) and descriptive statistics without necessarily quantifying the effect of FAW on food security and the profit margins of farming households. Therefore, this study adds to the little literature on the effect of FAW on food security and GM from maize production, which has received less attention in Ghana to the authors' best knowledge.