Sustainable intensification of agriculture will have to build on various innovations, but synergies between different types of technologies are not yet sufficiently understood. We use representative data from small farms in Kenya and propensity score matching to compare effects of input-intensive technologies and natural resource management practices on household income. When adopted in combination, positive income effects tend to be larger than when individual technologies are adopted alone.
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.
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.
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.
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.
Controlled Environment Agriculture (CEA) is the production of plants, fish, insects, or animals inside structures such as greenhouses, vertical farms, and growth chambers, in which environmental parameters such as humidity, light, temperature and CO2 can be controlled to create optimal growing conditions.
Based on three regional needs assessments, a strategic Action Plan has been formulated and adopted by the Partner Assembly of the Tropical Agriculture Platform (TAP), held in China in September 2013. It defines the outcomes, outputs and activities of TAP, which are considered instrumental for facilitating effective and sustainable Capacity Development for Agricultural Innovation Systems in tropical areas.
Summary of the first week of the e-conference "Innovation systems for food security and nutrition: understanding the capacities needed". The e-conference, organized by the Secretariat of the Tropical Agriculture Platform (TAP), is aiming at bringing together the issues of capacity development, agricultural innovation, and food security and nutrition with the objective of developing recommendations for policy-making.
The e-conference started on 18 April and lasted until 13 May 2016.
This paper has been prepared under the guidelines provided by the TAP Secretariat at the FAO, as a contribution to the G20 initiative TAP, which includes near 40 partners and is facilitated by FAO. Its purpose is to provide a Regional synthesis report on capacity needs assessment for agricultural innovation, with capacity gaps identified and analyzed, including recommendations to strengthen agricultural innovation systems (AIS) and draft policy recommendations to address the capacity gaps.
The key concepts and definitions of this brief provide a common point of reference to inform the formulation of the TAP Common Framework on Capacity Development for Agricultural Innovation Systems.