Agricultural research programs that are driven by Agricultural Innovation System concepts usually target to change the way in which low income rural agrarian households in a nation like Nigeria communicate with the market and the decision making strategies pertaining to development of their agri-business and the scarce resources which are at their disposal.
This paper uses a Rural Investment and Policy Analysis (RIAPA) model for the mainland Tanzania economy to identify the agricultural activities and value-chains whose expansion will be most effective at fostering economic development along four dimensions: generating economic growth in the agricultural-food sector of Tanzania; reducing national and rural poverty; generating employment; and improving nutrition by diversifying dietsThe results of scenarios run through the model suggests that there is no single value-chain that can achieve all of the policy objectives.
This paper presents a case study of the Honey Bee Network’s decentralized model for collecting, verifying and disseminating grassroots innovations and provides a roadmap for its replication in Africa. The Honey Bee Network brings together governmental and non‐governmental institutions, members of academia, scholars and a large number of volunteers.
In the existing literature, the effects of contract farming on household welfare were examined with mixed results. Most studies looked at single contract types. This paper contributes to the literature by comparing two types of contracts – simple marketing contracts and resource- providing contracts – in the Ghanaian oil palm sector. We investigate the effects of both contracts on farm income, as well as spillovers on other household income sources. We use survey data collected with an innovative sampling design and a control function approach to address possible issues of endogeneity.
In this paper, was used a case study approach to investigate the patterns of employment and income generation in cotton and rice value chains in Senegal and Benin. The purpose of the paper is to provide a comprehensive description of both value chains in both countries, emphasizing export potential and innovation entry points with the goal of assessing capacity to generate income, create jobs, and bring about food security.
This report conducted a gender assessment exercise to evaluate if the current solutions/innovations are gender responsive or not. Three innovations were selected that are primarily focused towards Climate Smart Agriculture (CSA) and that had affordability and ease of use as key objectives. The gender assessment embraced a qualitative research approach. This choice was guided by the need to appreciate respondents’ understanding and experiences or perceptions of the different innovations that RAN has been nurturing and developing over the years
Smallholder farmers in developing countries often suffer from high risk and limited market access. Contract farming may improve the situation under certain conditions. Several studies analyzed effects of contracts on smallholder productivity and income with mixed results. Most existing studies focused on one particular contract scheme. Contract characteristics rarely differ within one scheme, so little is known about how different contract characteristics may influence the benefits for smallholders.
Depuis plusieurs décennies, les pays de l’Afrique de l’Ouest se sont investis dans le développement et la diffusion des innovations agricoles dans le but d’accroître la productivité agricole et la production vivrière en particulier. Plusieurs mécanismes et approches ont été développés à cet effet en vue d’une utilisation efficace de ces innovations agricoles par les producteurs.
To determine whether a farmer’s accessibility predicts the delivery of extension services, this study used banana Xanthomonas wilt (BXW) disease-management advisory as a typical case with which to collect extension-delivery information from 690 farmers, distinguished by their respective accessibility. Cost–distance analysis was applied to define each farmer’s accessibility. The results revealed that a farmer’s accessibility does not predict extension delivery to that farmer in all forms of the examined extension parameters.