Rwanda has experienced exceptional economic growth since 2000 despite more than 60% of the predominately-agrarian population living on less than $1.25 a day. Approximately 76% of the country’s working population are engaged in agricultural production, which makes up about one-third of the national economy. Agriculture is also an important source of foreign exchange, making up about 63% of the value of Rwanda’s exports.

Agriculture continues to be the backbone of the economy of Rwanda contributing more than a third of the country’s GDP. The government of Rwanda with collaboration of researchers and its population has to stress on policies and projects to stimulate productivity as they are many corners in agriculture sector to be improved. Bolstering the livelihoods in developing countries is feasible through maintenance of food sovereignty and safety by increasing productivity.

This paper presents the impacts of a participatory agroecological development project on food security and wealth levels. The Malawi Farmer to Farmer Agroecology project (MAFFA) encourages farmer experimentation, community involvement and farmer-to-farmer teaching on agroecology, nutrition and gender equity. Recent international assessments of agriculture have highlighted the urgent need for changes in farming practices in Sub-Saharan Africa, due to land degradation, high levels of food insecurity and anticipated climate change impacts.

Since development agencies often implement interventions through collective-action groups such as farmer cooperatives and self-help groups, there is a need to understand how participation is affected by group-level and leader attributes. This study collected gender-disaggregated, quantitative and qualitative data on sixty-eight self-help groups in Zambia to understand the participation of men and women farmers in different crop-production activities. Results show that participation rates of men and women are the same across all maize production activities except harvesting.

The challenge of food security in Nigeria hinges on several factors of which poor technical efficiency is key. Using a stochastic frontier framework, we estimated the technical efficiency of agricultural households in Nigeria and tested for the significance of mean technical efficiency of food-secure and food-insecure agricultural households. We further assessed the determinants of agricultural households’ inefficiencies within the stochastic frontier model and adopted a standard probit model to assess the determinants of households’ food security status.

We analyse the impact of intensity of tillage on wheat productivity and risk exposure using panel household-plot level data from Ethiopia. In order to control for selection bias, we estimate a flexible moment-based production function using an endogenous switching regression treatment effects model. We find that tillage has a complementary impact on productivity and risk exposure. As the intensity of tillage increases, productivity increases and farmers’ exposure to risk declines. Our results suggest that smallholder farmers use tillage as an ex-ante risk management strategy.