Africa’s agricultural sector accounts for roughly a fifth of the continent’s GDP yet receives less than 5.0 per cent of commercial bank lending. For two decades, guarantee funds, blended finance facilities, and donor-backed risk-sharing mechanisms have worked to close that gap, with real but uneven progress. Now the risk landscape they were built for is shifting, and the tools need to shift too.
Three lessons stand out from years of engagement with banks and value chain financing. Guarantees alone don’t move money; capacity does: a $6.9 million guarantee facility in Kenya unlocked a $32 million loan portfolio only because it was paired with technical assistance for banks and borrowers.
Partner selection matters as much as guarantee size: risk-sharing with well-capacitated banks achieved roughly 10 times leverage, more than double the Kenya ratio. And some of the most valuable work isn’t the money at all: absorbing the risk of untested approaches early, then sharing what worked, is a public good in itself.
This experience was mostly built handling idiosyncratic risk, meaning one farmer’s bad season or one client’s default, which banks can increasingly manage with better data.
But a different risk is growing faster: systemic, covariate risk (variable not of primary interest) that hits an entire region at once, as seen this year in fertiliser price shocks from the Iran conflict’s disruption of trade routes, and a super El Niño building for late 2026 into 2027.
No bank can diversify away a risk that hits its whole loan book at once. That isn’t a confidence problem private capital will eventually solve; it’s structural, and public capital is specifically suited to absorb it.
African governments have already committed to this. The Kampala CAADP Declaration calls for at least 10 percent of public expenditure to go toward agrifood systems, with $100 billion mobilised by 2035, and names resilience to climate, health, and economic shocks as a core pillar.
The complication: this is the third time the target has been set, after Maputo in 2003 and Malabo in 2014, and tracking already shows some regions falling short again. What needs to change is what the money is spent on.
Much of today’s agricultural support, in Africa and among OECD countries alike, isn’t idle; it’s actively working against resilience.
Globally, governments spend more than $840 billion a year supporting agriculture, and roughly two-thirds of producer-level support comes in the most market-distorting forms: payments tied to specific commodities or inputs rather than outcomes.
Coupled support like this discourages the diversification that builds climate resilience and locks farmers into patterns that make sense only as long as the subsidy lasts.
In Africa, input subsidy programs remain politically popular and fiscally significant, but they’re structured around maintaining current yields rather than building the buffers, such as soil health, water management, and diversified income, that let farmers absorb a bad season without a full-blown crisis.
This is why the case isn’t simply “find money to redirect toward guarantees.” It’s “recognize that some of what we’re already spending is making the problem worse.”
The lessons from guarantee work don’t need to be discarded; they need redirecting. Three shifts would move guarantee mechanisms from covering generic default risk to managing climate risk specifically.
Trigger design tied to climate events, not just loan performance. Guarantees can use parametric or index-based triggers, such as rainfall thresholds, satellite-observed drought indices, and temperature anomalies, that release coverage automatically when a covariate climate event hits a region, rather than waiting for it to show up loan by loan.
Regional parametric insurance schemes have already shown payouts reaching governments within weeks of a confirmed drought or cyclone.
Layered capital stacks that separate ordinary risk from tail risk.
A guarantee facility can carry a first-loss tranche for ordinary credit risk, and a second, climate-specific tranche, potentially reinsured regionally or globally, that activates only for systemic, weather-driven losses. Donors absorbing the first-loss layer can catalyse several times that amount in commercial lending banks would otherwise consider too risky, so scarce public capital concentrates on the risk private markets can’t diversify away.
Conditioning guarantee eligibility on resilience-building practices. Coverage, or preferential pricing on it, can be tied to farmers adopting practices that measurably reduce climate exposure: drought-tolerant varieties, soil and water conservation, diversified cropping. This turns the guarantee from a purely financial tool into one that actively drives the resilience it’s meant to protect.
Each of these mechanisms depends on observing, at scale and low cost, what farmers are actually doing, something that used to require expensive field verification.
AI tools combining satellite imagery, weather models, and yield analysis can now verify farming conditions for millions of smallholders far more cheaply and extend to guarantee design: confirming whether a farmer planted a drought-resilient variety, setting more accurate localized triggers, and scoring producers without formal credit histories.
None of this requires new money nobody can find. It requires applying what guarantee work has already taught us, about leverage, partner selection, and paired capacity-building, to the risk that’s actually growing, using tools only now becoming affordable. Ordinary risk is a job for banks and better data. Climate shocks are a job for public capital, structured to unlock private capital. The Kampala Declaration already gives us the vehicle. The question is whether we finally use it.