The purpose of this report is to provide some of the groundwork in answering the question of how the CGIAR system and other public agricultural research organisations should adapt and respond to an era of transformation framed by the SDGs. It does this by exploring the way in which this transformation agenda reframes agricultural research and innovation.
Drawn from numerous sources, including papers in this journal, this concluding paper synthesizes evidence on the relationship between agricultural research for development and poverty reduction, with particular emphasis on agri-food systems perspectives in shaping programs aimed at rural prosperity. Following the introduction in section 1, we revisit the ex ante set of 18 pathways in section 2 (which were laid out in our introductory paper for this SI), posing some critical questions: Can a manageable set of impact pathways be identified? How are they inter-related?
What are the patterns of funding in agricultural innovation for the Global South1 ? Who are the key funders in this innovation and who are the key recipients? How doesthis funding split between various topics and value chains? What proportion of these funds support Sustainable Agricultural Intensification (SAI)? And how is SAI innovation funding split across different parts of the agriculture sector funding and innovation canvas?
Agriculture is crucial for the livelihood of millions of people worldwide and is one of the main drivers of deforestation, biodiversity loss and resource degradation. The contribution of agriculture to these environmental problems has been exacerbated by subsidies, which constitute the dominant public policy to support farmers. At the same time, other economic instruments introducing more sustainable land-use practices and incentivizing better environmental and social outcomes are already being applied worldwide.
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.