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.
La consommation de produits certifiés n’est plus l’apanage des pays développés. Au Kenya, les premiers marchés biologiques sont apparus à Nairobi en 2006. Ils sont approvisionnés par des maraîchers, confrontés à une diversité de défis : construire une certification biologique crédible, garantir la fraîcheur des produits et composer avec l’hétérogénéité des attentes des consommateurs. À partir de données d’enquête et du cadre analytique des coûts de transaction, nous analysons l’organisation des marchés de 2006 à 2013.
The main purpose of this paper is to examine the relationship between trainers’ qualification and learning success and satisfaction of small-scale farmers during training activities in Bihar, India. Moderated mediation analysis is utilized to measure the direct and indirect effects of trainers’ qualification on learning success and satisfaction. Therefore, the psychological constructs of attitude and perceived control from the Theory of Planned Behaviour (TPB) operate as mediators, subjective norms act as moderator, and gender and age serve as covariates
De nombreux agriculteurs africains pratiquent des formes d'agriculture potentiellement qualifiables de "?biologiques?". Pourtant, la capacité de l'agriculture biologique à répondre aux enjeux de la sécurité alimentaire en Afrique est encore mal connue, car il existe peu de références expérimentales disponibles dans cette région. L'élicitation probabiliste est une méthode permettant de rendre compte de manière précise des connaissances d'experts sur une ou plusieurs quantités d'intérêt, et de décrire les niveaux d'incertitude associés.
This paper analyses a monitoring, evaluation and learning (MEL) system developed within an agricultural research for development institution. The system applies aspects of the Outcome Harvesting tool and focuses on learning for adaptation and improvement of innovation processes. Developmental evaluation principles are applied to discuss its application. The MEL system provides insight into the processes and interactions with next users that generate outcomes.