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.
Enhancing the diversity of agricultural production systems is increasingly recognized as a potential
means to sustainably provide diversified food for rural communities in developing countries, hence
ensuring their nutritional security. However, empirical evidences connecting farm production
diversity and farm-households’ dietary diversity are scarce. Using comprehensive datasets of
market-oriented smallholder farm households from Indonesia and Kenya, and subsistence farmers
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.
Food systems in developing countries are transforming, involving a rapid expansion of supermarkets. This supermarket revolution may affect dietary patterns and nutrition, but empirical evidence is scarce. The few existing studies have analyzed implications for food consumers and producers separately. We discuss a more integrated framework that helps to gain a broader understanding. Reviewing recent evidence from Kenya, we show that buying food in supermarkets instead of traditional outlets contributes to overnutrition among adults, while reducing undernutrition among children.
This paper presents an overview of current opportunities and challenges facing efforts to increase the impact of rural and agricultural extension. The starting point for this analysis is in recognition that the days when agricultural extension was synonymous with the work of public sector agencies are over.
Ce document présente la position de l’Organisation des Nations Unies pour l’alimentation et l’agriculture (FAO) et du Forum mondial pour le conseil rural (GFRAS) sur la place actuelle des services de vulgarisation et de conseil agricole et sur les chemins qu’elle devra suivre à l’avenir. Les résultats présentés dans le document sont destinés à mieux situer la vulgarisation compte tenu de l’avenir de la recherche agricole en faveur du développement.
Policy brief No. 1. In recent years, food consumers have become in- creasingly aware of and concerned about the sa- fety of food products. As a response, public and private actors have introduced different standards to ensure that food safety reaches the degree de- manded by consumers. Developing countries often lack the institutional capacities and financial and non-financial resources to comply with standards.
This methodological guide was initially developed and used in Latin America and the Caribbean-LAC (Honduras, Nicaragua, Colombia, Peru, Venezuela, Dominican Republic), and was later improved during adaptation and use in eastern African (Uganda, Tanzania, Kenya, Ethiopia) through a South-South exchange of expertise and experiences. The aim of the methodological guide is to constitute an initial step in the empowerment of local communities to develop a local soil quality monitoring and decision-making system for better management of soil resources.