With a state-of-the art policy optimization modelling tool, MAFAP is advising governments on how to optimize their food and agriculture budget.

We are able to show countries what an optimal allocation of their financial resources would look like while factoring in their inclusive agricultural transformation (IAT) objectives, such as increasing agrifood GDP, lifting more people out of rural poverty, creating more off-farm rural jobs, and allowing more people able to afford a healthy diet.

By doing this, we help countries to optimize their budget, maximizing synergies and minimalizing the trade-offs that come into play as governments pursue their IAT objectives though better agrifood public policies.

With a similar state-of-the-art economic modelling tool, MAFAP is supporting governments to rank their key agricultural commodities according to their socioeconomic returns from public investments in productive infrastructure such as rural roads, electricity, bridges, and irrigation systems etc. 

In some cases, the analysis for commodities at the top of the ranking can be taken one step further to leverage expertise from farmers and local experts on the ground to further prioritize concrete policy interventions in the regions or districts with the most untapped production potential for a specific commodity.

This kind of analysis is currently being used to inform future agrifood investments in national development plans and sector-wide strategies in a number of MAFAP countries.