National governments, especially in sub-Saharan Africa, have limited budgets and are forced to make difficult funding decisions regarding the provision of social services and the support of agricultural programs. These provisions can play a critical role in rural incomes and agricultural production but due to data constraints, the effects of different types of social services on agricultural productivity in this region have not been analyzed in detail.
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.
Le Programme 2012-2013 de l’Initiative 3N vise à :
- Accroître et diversifier les productions agro-sylvo-pastorales et halieutiques pour assurer la sécurité alimentaire et nutritionnelle des populations nigériennes;
- Augmenter les revenus des producteurs et des acteurs des filières agricoles par l’amélioration de la conservation, la transformation et la commercialisation des produits agro-alimentaires ;
- Améliorer les capacités nationales de prévention et de gestion des crises et catastrophes et la résilience des populations vulnérables.
Cette étude a été menée dans le cadre du projet PAEPARD ou Plateforme pour un partenariat Afrique-Europe dans le domaine de la recherche agricole pour le développement, projet financé à 80% par la Commission européenne avec pour objectif de consolider la collaboration entre l’Afrique et l’Europe dans le domaine de la Recherche Agricole pour le Développement.
Innovation platforms are groups of individuals or stakeholder representatives with different backgrounds and interests. They come together to diagnose problems, identify opportunities, and find ways to achieve their goals. When innovation platforms are set up by development projects, their processes are usually facilitated by the support organization.
Since the early 1990s, Uganda has implemented a number of reforms in the agricultural sector. However, in the past 10 years, the performance of the sector has lagged behind other sectors particularly services and industry. There are concerns among researchers and policy analysts that institutional constraints in agriculture play a central role in the lacklustre agricultural performance registered during the 2000s. This study examines the institutional constraints affecting agricultural production in Uganda.
In line with the government of Mozambique’s strategies, this document proposes an innovative model with high promise to develop value-adding market led post-harvest processing enterprises and to transform the post harvest-processing sector in Mozambique, while creating sustainable jobs and increasing incomes. The challenge is to ensure coordination across value chains to guarantee that the right conditions are in place for making the Agribusiness Innovation Center (AIC) a success.
The agricultural innovation systems approach emphasizes the collective nature of innovation and stresses that innovation is a co-evolutionary process, resulting from alignment of technical, social, institutional and organizational dimensions. These insights are increasingly informing interventions that focus on setting up multi-stakeholder initiatives, such as innovation platforms and networks, as mechanisms for enhancing agricultural innovation, particularly in sub-Saharan Africa.
This brief discusses the benefits of innovation platforms in dealing with natural resource management issues.
This brief is part of the series of ‘practice briefs’ intended to help guide agricultural research practitioners who seek to support and implement innovation platforms. A contribution to the CGIAR Humidtropics research program, the development of the briefs was led by the International Livestock Research Institute; they draw on experiences of the CGIAR Challenge Program on Water and Food, several CGIAR centres and partner organizations.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.