Types of Research
- (-) Remove Food Security & Nutrition filter Food Security & Nutrition
- (-) Remove Education & Training filter Education & Training
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- (-) Remove Risk, Preferences, & Decision-Making filter Risk, Preferences, & Decision-Making
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This paper is the third in EPAR’s series on Higher Education in Africa. Our research tasks in this phase build on Phase I, in which we sought to identify measurable rates of return on tertiary agricultural education in Africa and describe the current state of African higher agricultural education (HAE), and Phase II, in which we identified countries’ experiences with national higher education capacity building through partnership building, cross-border opportunities such as ‘twinning,’ and various retention and diaspora engagement strategies. In this phase we discuss successful regional education models, particularly in Sub-Saharan Africa. We have organized our findings and analysis into three sections.The first section organizes the literature under categories of regional higher education models or ‘hubs’ and discusses measurement of the regional impact of higher education. The second section provides bibliometric data identifying academically productive countries and universities in Sub-Saharan Africa.The final section provides a list of regional higher education models identified in the literature and through a web-based review of existing higher education networks and hubs. We also include a list of challenges and responses to regional coordination.
Consumer attitudes are a key component in private sector market segmentation. Knowledge about consumers’ tastes can lead to better product design and more effective communication with target markets. Similarly, evidence suggests that farmers’ attitudes influence whether they adopt productivity-increasing technologies. Using consumer insights from the private sector, agricultural intervention programs can use market research, product development, and communication strategies to better understand farmers as consumers and best target interventions. This brief provides an overview of how farmers' attitudes affect their willingness to adopt new technology, and how knowledge of farmer attitudes can improve program design and implementation.