Crop insurance and the risk nobody wanted to price

A farm carries a set of risks it cannot influence: drought, frost, hail, excessive rain at harvest. Insurance exists precisely for risks of that shape, and yet the insured share of Ukrainian planted area has remained small.

Why it is hard to price

An insurer needs long series of reliable yield and weather data at a local level to set a premium that is neither ruinous nor loss-making. Where that data is thin, the insurer either declines or prices defensively, and a defensively priced product looks like poor value to the farmer.

Adverse selection makes it worse: farms in genuinely risky districts buy cover and farms in reliable ones do not, which pushes the average claim up and the premium with it.

The index approach

Index products pay out on a measured trigger — rainfall below a threshold at a specified weather station — rather than on an assessed loss on the specific field.

That removes the cost of individual loss adjustment and removes most of the fraud risk. It introduces basis risk instead: a farm can suffer a real loss and receive nothing because the station reading did not cross the trigger.

The state's role

Premium subsidy programmes have operated and raise take-up while they run. The more durable contribution is unglamorous: a dense, reliable, publicly available network of weather stations and yield statistics, which is the raw material every insurer needs.

The honest summary

Insurance will spread when it is priced on good data. Building that data is a public task, and it is cheaper than the subsidy it would replace.

A risk that cannot be priced cannot be insured; I meet the same in equipment warranties — you cannot offer a long warranty on a machine with no fault history. What agriculture lacks is not weather data but yield records at field level. The index approach closes that gap without matching it exactly, and the state's role sits precisely there: producing the data.