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This paper examines farmers’ preferences for an improved Bambara groundnut variety, the key attributes desired, factors influencing preference, and the number of attributes desired by smallholder farmers in Ghana.
En se basant sur les pratiques endogènes de restauration de la fertilité des sols les plus connues dans la région du nord du Burkina Faso, cet article analyse l’adoption de stratégies supplémentaires d’adaptation au changement climatique à l’aide de données primaires collectées auprès de 106 agricultrices.
This study examines the complementarity and substitutability effect of private investment and public expenditure on agricultural productivity in Nigeria for the period 1978 to 2018. The study employs the vector error correction modelling (VECM) technique, and the estimate shows that government expenditure on the agricultural sector had the most significant effect on agricultural productivity, followed by commercial bank credit for the agricultural sector.
This study analysed the long- and short-run effect of economic policy uncertainty on agricultural growth in Nigeria. Annual data was collected from secondary sources and analysed using the autoregressive distributed lag (ARDL) model and the associated bounds test.
The adoption of improved agricultural technologies is very low in Tanzania, which has led to both low crop productivity and low production. This paper therefore analyses the factors that influence the adoption of improved seeds, inorganic fertilisers and a package of technologies by smallholder maize farmers in Tanzania
Cet article analyse le rôle du crédit et de l’éducation dans les différences de productivité du maïs entre femmes et hommes au Burkina Faso.
A new high-yielding upland rice variety known as New Rice for Africa (NERICA) has been recognised widely as a promising technology for addressing the food shortage and poverty problems in sub-Saharan Africa.
While irrigation is key to boosting agricultural productivity in Burkina Faso, it may come with hidden health costs. Drawing on data from over 1 000 households in the Sourou Valley and using propensity score matching, this study uncovers the unintended consequences of irrigation for public health.
Agricultural digitisation is one of the key drivers of agricultural development, as well as of rapid economic growth, in many countries. This study aims to investigate the causal links between agricultural digitisation and high-quality agricultural development in the context of developed and developing countries.
Since 2002, a range of South African policies have attempted to address the disproportionate burden of food and nutrition insecurity on the population. Yet malnutrition among the poor has worsened.
Rural areas across the developing countries in every region of the world lag behind their urban counterparts in many important sectors and, most importantly, in improved water supply services.
The burden of low-quality diets and childhood undernutrition is widespread in rural areas in Sub-Saharan Africa, where households rely mostly on agriculture. Various empirical studies have shown the relative importance of the market, and hence food purchases, compared with farm diversification in raising dietary diversity.
This paper examines determinants of the adoption of rainwater-harvesting technologies in a rain shadow area of southern Malawi. The most common ex situ technologies in the area were dams, and the widely used in situ technologies were box ridges, contour markers and swales.
Low agricultural commercialisation due to low productivity and a lack of access to and use of improved seeds are common features of smallholders in the Ethiopian highlands. Seed-producer cooperatives (SPCs) were established and strengthened in these highlands to facilitate smallholders’ access to improved seed.
In sub-Saharan Africa, identifying estimates of consumers’ preferences and willingness to pay (WTP) for safe food continues to receive attention in the literature. Using experimental data from Nigeria, we examined the source of heterogeneities in preference and WTP for organically produced food.
Vitamin A deficiency is still a challenge in many African countries, including Tanzania. Survey data were gathered in Tanzania to determine consumers’ risk perceptions of vitamin A deficiency (VAD) and severe visual impairment.
This paper assesses the differences in technical efficiency of, and the cassava production systems employed by, male-managed (MMF) and female-managed (FMF) cassava farms in the Fanteakwa District of Ghana.
This study seeks to identify the internal and external factors determining Ethiopia’s bilateral exports and total trade flows. It uses panel data covering 21 major trading partners of Ethiopia from 2000 to 2017 and estimates an augmented fixed effects gravity model.
This study examines how climate variability affects agricultural productivity and economic growth in Nigeria using time-series data from 1960 to 2024.
The hazards and impacts of climate change are exacerbating. They threaten crop productivity, farmers’ resilience and the mitigation of greenhouse gas (GHG) emissions. Understanding climate-smart agriculture (CSA) and applying it is crucial.
This study investigates the relationships between financial inclusion, gender and household welfare. We used baseline data collected from a randomised control trial survey of maize farmers in Nigeria and computed multidimensional indices for financial inclusion and farmers’ household welfare.
Climate-smart agriculture (CSA) is viewed as a potentially effective intervention to address low agricultural productivity in Sub-Saharan Africa (SSA), while strengthening farmers’ capacity to adapt to the effects of climate change.
This study examines whether Liberian consumers are willing to pay for new, locally produced nutrient-dense rice, and if farmers are willing to grow such rice.
This paper evaluates output supply and input factor demands for livestock products in the Southern rangelands of Kenya. A flexible translog profit function that permits the application of the primal approach to the output supply and factor demand analysis was estimated using household-level data.