To meet the growing demand for food in the Global South in a sustainable manner, current funding in agricultural innovation will need to be increased exponentially. Some estimates suggest up to USD 320 billion annually is required to help meet the UN SDG Goals for food and agriculture by 2030. Current levels of funding for agriculture and agricultural innovation fall far short of this and hence efforts to induce more funding for these goals, including through the use of new financing instruments1, is critical going forward.
The only specialized multilateral development institution focused exclusively on rural development, IFAD has successfully used agriculture as a means of poverty reduction – contributing ~USD 22 billion in funding to date1. About 90% of IFAD's portfolio is focused on Low to Middle Income (LMI) countries. IFAD stands out with its nutrition and gender-sensitive lenses coupled with investments in climate-resilient agriculture – mainstreaming nutrition, gender, and climate change work in agriculture.
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.
Innovation for sustainable agricultural intensification (SAI) is challenging. Changing agricultural systems at scale normally means working with partners at different levels to make changes in policies and social institutions, along with technical practices. This study extracts lessons for practitioners and investors in innovation in SAI, based on concrete examples, to guide future investment.
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.
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.