The Commission on Sustainable Agriculture Intensification (CoSAI) and the Foreign, Commonwealth and Development Office (FCDO) jointly commissioned a gap study to determine how far away innovation investment is from helping agri-food systems achieve zero hunger goals and the Paris Agreement while reducing impacts on water resources in the Global South. The results show that the world can come much closer with some well-placed investments.
A complex systems approach to innovation provides rich insights into the drivers, barriers, and key elements for innovation in rural systems. Through a case study of dry direct seeding (DDS) in smallholder systems in Laos, this article reveals a “perfect storm” of challenges and opportunities resulting in rapid adoption. Labour shortage, climate variability, and machinery availability are key factors.
Finance is a key lever for turning agriculture from a potential source of environmental harm and social inequity to a driver of conservation and social inclusiveness. Private and public sector funding for farmers to combat climate change and protect and restore nature (‘Paying for Nature’) is rapidly increasing. Yet this new funding may not reach its aims without drastically improving farm-level reward mechanisms.
Climate variability and change threaten and impact negatively on biodiversity, agricultural sustainability, ecosystems, and economic and social structures – factors that are all vital for human resilience and wellbeing. To cope with these challenges, embracing sustainability in food production is therefore essential. Practising sustainable agriculture is one way of ensuring sustainability in pro-poor farming communities in low-income countries.
Connecting science with policy has always been challenging for both scientists and policy makers. In Ghana, Mali and Senegal, multi-stakeholder national science-policy dialogue platforms on climate-smart agriculture (CSA) were setup to use scientificevidence to create awareness of climate change impacts on agriculture andadvocate for the mainstreaming of climate change and CSA into agriculturaldevelopment plans.
Considering the new opportunities that ICT innovations bring to improve performance of financial and extension services, this study looks at the potential contribution of financial and extension services to the Sustainable Development Goals (SDGs). The approach used extends the standard Data Envelopment Analysis (DEA) model to include longer-term management goals and find a solution that balances the efficient use of innovation investments and the achievement of policy goals, making this approach well suited for the analysis of the SDGs.
The evidence base on agri-food systems is growing exponentially. The CoSAI-commissioned study, Mining the Gaps, applied artificial intelligence to mine more than 1.2 million publications for data, creating a clearer picture of what research has been conducted on small-scale farming and post-production systems from 2000 to the present, and where evidence gaps exist.
A range of approaches and financial instruments have been used to stimulate and support innovation in agriculture and resolve interlocking constraints for uptake at scale. These include innovation platforms, results-based payments, value chain approaches, grants and prizes, incubators, participatory work with farmer networks, and many more.
A huge increase in investment in innovation for agricultural systems is critical to meet the Sustainable Development Goals and Paris Climate Agreement. Most of this increase needs to come from reorienting existing funding for innovation. However, understanding whether an investment will fully promote environmentally sustainable and equitable agri-food systems can be difficult.
The study was designed to answer the following three key questions:
(1) What types of investment instruments have been tested to support innovation in agri-food systems in the Global South, and how can these be categorized into a working typology?
(2) What is the evidence on how well different instruments have supported SAI's multiple objectives (e.g. social equality and environmental) at scale and what contextual and design factors affect their success or failure in achieving these objectives (e.g. type of value chain, who participates)?