Using a non-experimental cross-sectional dataset of 471 households, we evaluate the impacts of satellite collection points (SCPs) under the Purchase for Progress (P4P) initiative implemented by the World Food Programme (WFP) on storage decisions and crop income from maize sales among smallholder farmers in Uganda.

This study investigates the effect of temperature and precipitation on the economic value of agricultural output from farm households in six Sub-Saharan African countries: Ethiopia, Malawi, Niger, Nigeria, Tanzania and Uganda.

Zimbabwe has set poverty reduction targets in a changing climate, yet the implications of climate variability for poverty remain under-explored.

This article investigated the role of cattle attributes in buyers’ choices and hedonic pricing in Benin. Cross-sectional data were collected on 347 market cattle transactions using the revealed preference method.

Climate variability threatens farmers’ livelihoods. Efforts to address climate stress recognise climate-smart agriculture (CSA) as a promising approach to minimising the damage caused by increasing weather variability.

The objective of this research was to assess the effects of non-timber forest products (NTFPs) on food consumption expenditure by agricultural households in the southwestern region of Burkina Faso.

Farmer–herder conflicts deepen the incidence of poverty and worsen the wellbeing of both farming and herding households in Sub-Saharan Africa. In order to cope with the effects of conflict on their livelihoods, households adopt various adaptation strategies.

Willingness-to-pay (WTP) studies for traditional food products are plausibly affected by unobserved decisions and strategic collusion between the experimenter and respondents. Similarly, WTP estimates in developing countries using a one-time survey might be inconsistent, as the acceptance of new products likely varies with exposure to product attributes.

To arrest the ongoing ecological disaster in the country, the government of Zimbabwe implemented the Communal Areas Management Programme for Indigenous Resources (CAMPFIRE). Through the CAMPFIRE programme, each ward could benefit from two land uses – agriculture and wildlife.

This study investigates the driving factors that influence farmers’ decisions to adopt modern agricultural inputs (MAI) and how this affects farm household welfare in rural Rwanda. To account for heterogeneity in the MAI adoption decision and unobservable farm and household attributes, we estimate an endogenous switching regression (ESR) model.

This paper examines the optimal land resource allocation for tree crop enterprises in the Eastern region of Ghana based on data collected from sampled cocoa, oil palm, and rubber farmers.

Goat keeping is a common practice among rural farmers due to the adaptability of goats to harsh environments, their efficient forage conversion and rapid growth, and their multiple benefits, including the production of manure and high-quality milk.

Using the potential outcomes framework, we estimate the influence of the adoption gap, adoption drivers and impact of adopting improved groundnut varieties (IGVs) on groundnut yield among smallholder farmers in Nigeria.

Poverty in its various forms is widespread among smallholder farmers, including income poverty, rendering interventions that improve household income relevant. We employ a linear model on cross-sectional data collected from October to December 2015, with the preceding 12 months as the reference period.

Uganda’s climate is changing in terms of rising temperatures and altered precipitation patterns, leading to extreme meteorological conditions such as prolonged drought, floods and landslides. Yet the majority (68%) of Ugandans rely largely on rain-fed agriculture, which is affected by climate variability.

African animal trypanosomiasis (AAT) and its vectors, mainly tsetse, are a major constraint to livestock production in sub-Saharan Africa (SSA). Control efforts have been ongoing for decades, but finding a sustainable solution remains a major concern.

This study applied stochastic frontier analysis (SFA) and data envelopment analysis (DEA) to examine the technical efficiency of maize production in northern Ghana using cross-sectional data from 360 maize farmers for the 2011/2012 cropping season.

This study attempted to identify determinants of farmers’ maximum willingness to pay (WTP) for improved use of irrigation water.

Cet article analyse les effets des produits forestiers non ligneux (PFNL) sur la pauvreté multidimensionnelle au Burkina Faso. Il s'appuie sur des données primaires collectées auprès de 384 ménages sélectionnés aléatoirement.