About 65% of the cropped area in India is dependent on rains. Because most of the rains in India are received during the monsoon months, the crop growing seasons are quite short. Any aberrations in the amount of rainfall or in its distribution can adversely impact the crop yields. Yield and price uncertainties often reduce the incomes of the farm households and, consequently, their consumption levels and investments. Many of the farmers in the semi-arid tropics (SAT) of India live close to subsistence level, and shielding them from the weather-induced shocks in agricultural income is vital for their survival. The SAT accounts for 37% of the country’s geographical area as well as population, 46% of the net cultivated area, 59% of the coarse cereals area, 53% of the pulses area and 60% of the oilseeds area. Even 60% of the commercial crops are grown in the SAT. If rainfed agriculture in the SAT is to remain as a means of livelihood, ex-ante risk management is a critical first step to ex-post risk coping.

The broad structure of National Agricultural Insurance Scheme (NAIS), the main crop insurance program in India, is technically sound and appropriate in the context of India. The NAIS is based on an indexed approach, where average crop yield of an insurance unit, IU, (i.e., block) is the index used. The insurance is mandatory for all farmers that borrow from financial institutions, though insurance cover is also available to non-borrowers. The actual yield of the insured crop (as measured by crop cutting experiments) in the IU is compared to the threshold yield. If the former is lower than the latter, all insured farmers in the IU are eligible for the same rate of indemnity payout. Individual crop insurance would have been prohibitively expensive, or even impossible, in a country such as India with so many small and marginal farms. Further, the method of using an ‘area based approach’ has several other merits and, most importantly, it mitigates moral hazard and adverse selection.