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Climate-smart agriculture matters in Malawi because farming, food security and the wider economy are highly exposed to droughts, floods and erratic rainfall. The useful question is not whether one practice is ‘climate-smart’, but which combination improves productivity and resilience in a specific place without shifting costs or risks to farmers.
Why climate-smart agriculture matters now
Agriculture remains central to livelihoods and national economic performance in Malawi. A 2025 World Bank account describes the sector as contributing almost a quarter of gross domestic product and employing about three-quarters of the population, mostly through small-scale farming. That dependence makes a poor season more than a farm-level problem: it affects food prices, household income, public finances and the supply of foreign exchange.
The climate risk is already material. The World Bank’s Malawi Country Climate and Development Report estimates that, without stronger resilience and development measures, climate change could reduce gross domestic product by 3–9% by 2030 and 8–16% by 2050. These are scenario ranges, not precise forecasts, but they show the scale of exposure and the cost of waiting.
For smallholder households, the risk is immediate: a late start to the rains can change planting decisions; a dry spell can reduce maize performance; heavy rain can remove topsoil and nutrients. Climate-smart agriculture is useful when it helps people make better choices under those conditions rather than promising to remove uncertainty.
What climate-smart agriculture means
The Food and Agriculture Organization defines climate-smart agriculture around three connected aims: sustainably increasing productivity and incomes, adapting and building resilience, and reducing or removing greenhouse-gas emissions where possible. The balance between those aims varies by place. A practice that works in a high-rainfall area, for example, may not fit a drier district or a household with limited labour.
In Malawi, the approach can include minimum soil disturbance, retaining crop residues where competing uses allow, rotating or intercropping maize with legumes, adding trees to farming systems, using manure and mineral fertiliser more precisely, choosing earlier-maturing or drought-tolerant varieties, harvesting water and using weather information. None of these is automatically climate-smart. The result depends on the crop, soil, rainfall zone, farm resources and how the practice is managed over time.
What the evidence shows in Malawi
Long-running conservation-agriculture trials offer one important body of evidence. CIMMYT and partners began with small on-farm trials in central Malawi, comparing conventional ridging with no-till maize and maize–legume systems. The network later expanded into “mother” and farmer-managed “baby” trials, allowing practices to be tested under different conditions and adapted through experience.
The strongest lesson is not that every farmer should use one prescribed system. It is that soil cover, crop diversity and reduced disturbance can improve soil-water relations and stabilise production in some settings, while benefits often take several seasons to become clear. Farmers may reasonably test a practice on part of their land before changing the whole farm.
Public policy is also shifting. Malawi’s 2024 National Agriculture Policy calls for integrated soil-fertility management, soil testing, agroecology-specific technologies and stronger access to inputs and advisory services. A World Bank-supported soil-health pilot reported training more than 23,000 farmers and over 100 extension workers, while collecting soil samples to support more tailored recommendations. Those figures show reach; longer-term independent evaluation is still needed to establish durable outcomes.
Why adoption remains uneven
A technically sound practice can still be a poor fit. Residues may be needed for livestock feed or fuel. Intercropping can require seed that is unavailable at planting time. Establishing trees can add labour before benefits arrive. Advice may be too general for a farmer’s soil or may reach a household after the relevant decision has already been made.
Land tenure, access to finance, gendered control of labour and income, extension capacity and market incentives all shape adoption. Counting how many people received training or inputs is therefore not the same as knowing whether a practice remains useful after a project ends. Useful monitoring asks what farmers retained, adapted or stopped—and why.
What responsible scaling requires
Responsible scaling starts with a real decision: when to plant, how to protect moisture, which crop combination to try or how to spend a limited input budget. It then brings together field observation, farmer knowledge, research and a small number of feasible options. The first version should be testable and reversible.
Programmes should report both benefits and burdens, distinguish project reach from measured impact and make uncertainty visible. They should also return useful information to the people who provide data, support local extension and farmer-to-farmer learning, and budget for adaptation after the pilot phase.
This is the practical meaning of climate-smart agriculture for ulimi.labs: not a label attached to a product, but a disciplined way to connect evidence with everyday choices in Malawi’s fields.
Sources and further reading
- Malawi Country Climate and Development Report (opens in a new tab) — World Bank, 2022
- Climate-informed economic development key to Malawi’s resilience (opens in a new tab) — World Bank, 2022
- Climate-smart agriculture: an overview (opens in a new tab) — FAO, current overview
- How farmers in Malawi are shaping conservation agriculture (opens in a new tab) — CIMMYT, 2025
- How Malawi’s reform is changing support for smallholder farmers (opens in a new tab) — World Bank, 2025
- National Agriculture Policy 2024 (opens in a new tab) — Government of Malawi, 2024