The project Empowering Women Fish Retailers (EWFIRE) Project. Funded by the European Commission (EuropeAid), the project supports vulnerable women retailers and processors to develop their businesses in five urban areas across the Sharkia governorate, lower Egypt (Zagazig, Faous, Belbeis, Al-Hussainyaand Abu-Kebeer).
The COVID-19 pandemic and accompanying responses to mitigate this global health crisis have resulted in substantial disruptions to demand, production, distribution and labor in fisheries, aquaculture and food systems. These disruptions have severely impacted women processors and traders, who play a critical role in the fisheries and aquaculture sectors and associated food systems in sub-Saharan Africa. And yet, COVID related data and responses have tended to be gender-blind or overly representative of men’s experiences and needs in the sector.
An evidence policy brief on the contribution of small-scale fisheries to a healthy and sustainable food system in Malawi.
Policy brief No. 3. Adequate nutrition is a crucial welfare dimension. Malnutrition at a young age can have severe con- sequences for a person’s development of human, social, and economic capital. Also in later phases of one’s life, malnutrition can severely affect health and restrict productivity as well as overall quality of life. Efforts to improve nutrition among rural populations, for example through more diversified diets, are therefore key components of many rural development agendas, especially in Africa where undernutrition is still a large public health prob- lem.
Farm workers in developing countries often belong to the poorest of the poor. They typically face low wages, informal working arrangements, and inadequate social protection. Written employment contracts with clearly defined rights and obligations could possibly help, but it is not clear how such contracts could be introduced and promoted in traditional peasant environments. To address this question, we develop and implement a randomized controlled trial with farmers in Côte d’Ivoire.
Mobile phone based money services have spread rapidly in many developing countries. We analyze micro level impacts using panel data from smallholder farmers in Kenya. Mobile money use has a large positive net impact on household income. One important pathway is through remittances, which contribute to income directly but also help to reduce risk and liquidity constraints, thus promoting agricultural commercialization. Mobile money users apply more purchased inputs, market a larger proportion of their output, and have higher farm profits.
Since the early 1990s, liberalization of the seed market in Tanzania has attracted several foreign companies that now market maize hybrids in the country. In this article, we analyze the impacts of proprietary hybrids on maize yields, production, and household living standards. We build on a recent survey of smallholder maize farmers in two zones of Tanzania. Hybrid adoption rates are 48% and 13% in the North and East, respectively. Average net yield gains of hybrids are 50-60%, and there are also significant profit effects.
Supermarkets and high-value exports are currently gaining ground in the agri-food systems of many developing countries. While recent research has analyzed income effects in the small farm sector, impacts on farming efficiency have hardly been studied. Using a survey of Kenyan vegetable growers and a stochastic frontier approach, we show that participation in supermarket channels increases mean technical efficiency by 19%. This gain is bigger at lower levels of efficiency, suggesting the potential for positive income distribution effects.
Classical innovation adoption models implicitly assume homogenous information flow across farmers, which is often not realistic. As a result, selection bias in adoption parameters may occur. We focus on tissue culture (TC) banana technology that was introduced in Kenya more than 10 years ago. Up till now, adoption rates have remained relatively low.
Most micro-level studies on the impact of agricultural technologies build on cross-section data, which can lead to unreliable impact estimates. Here, we use panel data covering two time periods to estimate the impact of tissue culture (TC) banana technology in the Kenyan small farm sector. TC banana is an interesting case, because previous impact studies showed mixed results. We combine propensity score matching with a difference-in-difference estimator to control for selection bias and account for temporal impact variability.