In this report, food distribution is analysed within the context of food systems in Tanzania. This study looks at entry points for further studies of food system issues within the country that will affect progress towards the achievement of Sustainable Development Goal (SDG) 2. Both qualitative and quantitative methods are used, first to map and conceptualize the complexity of the food system in Tanzania, and then to quantify the likely impacts of scenarios of action and inaction.

To respond to the vast needs in Tanganyika, DRC, the United Nations Food and Agriculture Organization (FAO) and the World Food Programme (WFP) are implementing an integrated programme to build community resilience and strengthen agricultural value chains. Despite its vast natural resources, the DRC faces the largest hunger crisis in the world. The country continues to experience prolonged conflict – particularly in the east – contributing to large-scale population displacements, disrupting agricultural activities and impeding access to markets, schools and healthcare.

The study utilized WFP’s Consolidated Livelihood Exercise for Analyzing Resilience (CLEAR) approach which contains a baseline of major livelihood zones all over the country. CLEAR has provided the backbone to build the Philippines’ first livelihood zone maps which aim to provide information for the diversification of economic activities, aimed to ensure that its food systems are secure, peace and hunger are addressed, and the country is on a continuous path to sustainable development.

The COVID-19 pandemic has elevated the importance of agriculture in the Pacific Islands for food security and economic development. The crisis has underscored the crucial role of domestic food systems to provide resilience to shocks, livelihood options, self-sufficiency, and insurance against food and nutrition insecurity. However, remoteness from international markets, populations dispersed across many small islands, heightened vulnerability to climate change, and natural resource constraints pose significant challenges for adapting food systems to cope with the impacts of COVID-19.

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.