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This chapter first offers examples of risky decisions in agriculture and discusses their implications. The need to take account of risk in agriculture is then highlighted, and the concepts of risk and uncertainty are explained. The chapter also considers the individuals who need to think about risk in agriculture and then presents a general approach to risk management in agriculture as well as an overview of formal decision analysis.

A method of stochastic dominance analysis with respect to a function (SDRF) is described and illustrated. The method, called stochastic efficiency with respect to a function (SERF), orders a set of risky alternatives in terms of certainty equivalents for a specified range of attitudes to risk. It can be applied for conforming utility functions with risk attitudes defined by corresponding ranges of absolute, relative or partial risk aversion coefficients. Unlike conventional SDRF, SERF involves comparing each alternative with all the other alternatives simultaneously, not pairwise, and hence can produce a smaller efficient set than that found by simple pairwise SDRF over the same range of risk attitudes. Moreover, the method can be implemented in a simple spreadsheet with no special software needed.

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-Environmental, social and economic attributes are important for the sustainability of a farming system. Comparing farming systems by considering only expected profitability ignores differences in both sustainability and in the riskiness of system returns. Further, in choosing between farming systems, the ability to survive various risks and shocks and continue in the future is important, i.e., system resilience and persistence are important aspects of sustainability. Yet resilience and persistence have seldom been directly considered in evaluations of economic sustainability. A whole-farm stochastic simulation model over a six-year planning horizon was used to compare organic and conventional cropping systems for a representative farm situation in Eastern Norway. The relative sustainability of alternative systems under changing assumptions about future technology and price regimes was examined in terms of terminal financial position. The risk efficiency of the same alternatives was also compared. The results illustrate possible conflicts between pursuit of risk efficiency versus sustainability. The model used could be useful in supporting farmers' choice between farming systems as well for policy makers to develop more sharply targeted policies.