The identification and management of risk plays a significant role in reducing variability in farm income.The choice of risk management tools and strategies may depend on several factors, including the perceivedimportance of the risk and the perceived level of control that producers have in managing the risk. Thisstudy uses data from a 2017 survey of grain and oilseed farmers in Saskatchewan and employs a countbased approach of best-worst scaling and latent class cluster analysis to examine their perception of the mostimportant sources of risk and the factors that influence these perceptions. The results suggest production andmarketing risks, such as variation in output prices, rainfall variability, and changes in input prices, are themost important risks to farmers. However, results also reveal heterogeneity in responses to these identifiedrisks, suggesting that a multifaceted approach is needed by farmers to address risk.
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