Economic &
Cost-Benefit
Analysis
What does a climate investment actually return — to the farmer, to the community, to the funder? We build the evidence that answers that question with precision.
Read the evidence ›The question every donor should ask — but most don’t
Every year, billions flow into agricultural development programs whose returns are never truly measured. Donors make bets based on theory. Farmers live with the consequences. And the field moves on to the next intervention without ever knowing if the last one worked — or how much it actually cost.
Cost-Benefit Analysis changes that calculus. Done rigorously, it forces a program to answer the most uncomfortable question in development: is this the best use of this money? Not compared to nothing — compared to everything else you could have done instead.
Our CBA methodology, developed over 15 years and tested across 11 countries in Africa and Asia, goes beyond simple return calculations. We model uncertainty using Monte Carlo simulations. We separate private returns from social returns. We account for externalities — carbon sequestration, gender equity gains, ecosystem services — that standard financial models ignore. And we translate the numbers into decision-ready guidance that funders, governments, and program teams can actually act on.
Three investments. Three continents.
Real numbers.
When a farmer bets on the future: climate-smart returns in Ghana
In Ghana’s coastal savannah, we asked a deceptively simple question: if a smallholder farmer adopts a climate-smart practice today, what does she actually get back — in five years, in ten? Input costs are real and immediate. Benefits are diffuse, delayed, and uncertain.
Our CBA found that the economic case varied dramatically by practice — some yielded strong private returns within two seasons, while others only made sense at the societal level once carbon and ecosystem co-benefits were included. The insight reshaped how USAID-supported extension services prioritised their portfolio across the country.
Read the study →Six practices, one hard question: which ones are actually worth it?
A government program wants to scale six different soil management practices across Western Kenya. Funds are limited. Which practices do you back — and which do you quietly drop? This is the exact scenario we were brought in to resolve.
Our analysis compared the profitability and risk profile of each practice at the farm level, accounting for input costs, yield changes, market prices, and risk exposure. The results delivered a clear ranking robust enough to defend to any donor — and a practical guide for farmers and extension workers making adoption decisions under uncertainty.
Read the study →Is risk really the reason farmers don’t invest? We tested it.
The conventional wisdom says smallholder farmers don’t adopt climate-smart innovations because the risks are too high. But is that actually true — or a convenient explanation that lets programs off the hook for poor design?
Across 11 countries, we used financial CBA to put this assumption to the test. The findings were striking: in most contexts, climate-smart innovations showed strong positive returns even under uncertainty. The real barrier was access to information and capital — a conclusion that should fundamentally change how programs are designed and funded.
Read the study →When a country needs to decide:
adaptation CBA at the national scale
Most cost-benefit analysis operates at the project level — one intervention, one site, a defined comparison. But what happens when a government needs to choose between ten different adaptation pathways, allocate a national budget, and justify those decisions to international climate funds?
That’s the challenge addressed as CBA modelling consultant on Mongolia’s National Adaptation Plan (NAP) process — a UNEP-funded engagement delivered by OIKO. The work required developing and leading the implementation of a cost-benefit analysis system built for policy, not just projects — one that could handle cross-sectoral trade-offs, multi-decade time horizons, and deep uncertainty about future climate impacts.
“The question isn’t whether a country can afford to adapt. It’s whether it can afford not to — and which adaptations deliver the most protection per dollar spent.”
The engagement produced comprehensive Excel-based models the government could own and update, validation documentation for donor review, and policy briefs translating technical findings for national decision-makers. The methodology is sharable and can be customized to existing contexts and replicated by other countries navigating the same challenge.
The result:
evidence-backed adaptation investment priorities that could withstand scrutiny from both the finance ministry and international climate funders.
Countries with CBA work
Donors & Partners
UNEP · USAID · World Bank · Gates Foundation · DANIDA · NWO-WOTRO · IFAD · IKEA Foundation · Nordic Climate Fund · GTZ/BMZ
A methodology adopted globally
This ex-ante CBA methodology has been adopted and applied by institutions of higher learning such as the University of Cape Town, Wageningen University (WUR), the University of Nairobi, the Swedish University of Agricultural Sciences (SLU), and Egerton University; by NGOs and INGOs including the Alliance of Bioversity International & CIAT, ICIPE, and ILRI; and by government institutions such as the Ministry of Agriculture in Kenya, CSIR-STEPRI in Ghana, and the Ministry of Agriculture in Nigeria — applied on studies funded by USAID, NWO-WOTRO, the World Bank, GTZ/BMZ, the Nordic Climate Fund, the Swedish Government, DANIDA, and others.
A methodology built for
decisions under uncertainty
Your investment deserves
rigorous evidence
Whether you’re designing a new program, justifying an investment to a donor, or building national adaptation policy — we bring the analytical depth to make your case with confidence.