This study aims at exploring scaling up factors that determine the successful up scaling or otherwise of agriculture innovations in Ghana. This is done through a case study approach by analysing selected agricultural innovations to determine the strategies used to scale up as well as factors that account for successes or failures of the scaling up.
This study will answer the following questions: (i) What is the socio-economic impact of the Banfora Milk Platform on actors in the milk value chain? (ii) What investments are needed to maximize the impact of the Banfora Milk Platform? The answers to these questions will help Innovation Platform actors to measure the socio-economic impact of their innovation and also to take steps to correct shortcomings in order to substantially improve the income of beneficiaries. This report is built around four main points.
This report aims to amalyse the situational analysis of Agricultural Innovation in Nigeria. Specifically, the situation analysis entailed: (i) an inventory of existing functional and promising agricultural innovations;(ii) a scoping study of existing agricultural innovation platforms in the country;(iii) an assessment of the state of national investment in agricultural innovation system in the country
This report is divided in 3 studies that acess the status of the agricultural innovation in Ethiopia.
This report aims at narrating on the FIC activity organised in Cameroon during 2017, as per planned in the 2017 annual work plans and budgets (AWPB) of both the Forum for Agricultural Research in Africa (FARA) and the Cameroon Institute of Agricultural Research for Development (IRAD), within the framework of the Programme of Accompanying Research for Agricultural Innovation (PARI).
This paper comparatively analyzes the structure of agricultural policy development networks that connect organizations working on agricultural development, climate change and food security in fourteen smallholder farming communities across East Africa, West Africa and South Asia.
This paper examines the determinants of participation in an outsourced extension programs and its impact of smallholder farmers' net farm income in Msinga, KwaZulu-Natal, South Africa. A multi-stage sampling technique was used to obtain cross-sectional farm-level data from a sample of 300 farm households, using a structured questionnaire for the interview. The determinants and impacts of participation were estimated using the propensity score matching (PSM) to account for sample selection bias.
The objective of the study was to identify a viable trade-off between low data requirements and useful household-specific prioritizations of advisory messages. At three sites in Ethiopia, Kenya, and Tanzania independently, we collected experimental preference rankings from smallholder farmers for receiving information about different agricultural and livelihood practices. At each site, was identified socio-economic household variables that improved model-based predictions of individual farmers’ information preferences.
This report seeks to support the larger jobs study by examining how investment in South Sudan’s food sector can not only address food security needs, it can generate income and lay the foundation for livelihood and job creation in the country. It argues that applying a value chain lens to investments in the sector can contribute to creating direct, indirect, and induced labor in the food system. The goal is to move the country from a dependency on humanitarian aid to building recovery and resilience in the short term in a way that can produce stable jobs over the medium to long term.
Despite the positive attributions ascribed to Digital Platforms (DPs), empirical studies that explore the role of DPs in smallholder credit access are lacking, particularly that which takes into account the dynamics of trust in complex actor interactions in the value chain. Consequently, it remains unclear whether, and how DPs influence trust and actor cooperation in value chain financing of maize production in Ghana.