A quantitative model designed to help the Government of Comoros and the UN Country Team see which mixture of development spending — across SDGs and across financing sources — is likely to deliver the strongest development outcomes.
Like many small economies, Comoros faces the question of how to allocate limited public resources across the Sustainable Development Goals — under tight fiscal constraints, with multiple sources of financing (domestic and external, public and private), and with cross-SDG dependencies that mean spending in one area shapes outcomes in others.
The UN Resident Coordinator’s Office in Comoros approached HumanitarianMatters to design an analytical tool that brings rigour and transparency to that allocation question — moving it from intuition and political-economy bargaining toward an evidence base that the Government, the UN Country Team, and partners can share.
The tool is built around a quantitative forecasting model. At a high level, it supports three things:
Crucially, the model accounts for interactions between SDGs: spending on health affects education outcomes; spending on infrastructure affects livelihoods; and so on. Treating each SDG in isolation would systematically misjudge what works.
The intended users sit on two sides of the same conversation: the Government of Comoros — particularly its planning and finance functions — and the UN Country Team, which coordinates partner support around the country’s development priorities. The tool is built to be used by both, and to give them a shared analytical language for the spending-allocation conversation.
Allocation decisions in development finance are often made without a clear view of which spending choices have actually moved the needle, or how spending in one area interacts with another. For a country with the fiscal profile of Comoros, those questions are not abstract: they shape what the country can credibly commit to, and what partners should be asked to support. The model is a piece of analytical infrastructure designed to make those conversations sharper.
I respond to substantive enquiries within two working days.
contact@hum