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Identifying risk in production agriculture: an application of best-worst scaling

机译:确定生产农业风险:最佳缩放的应用

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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.
机译:风险的识别和管理在降低农场收入的可变性方面发挥着重要作用。风险管理工具和策略的选择可能取决于几个因素,包括导致风险的感知和生产者在管理风险方面的感知水平。鉴于萨斯喀彻温省粮食和油籽农民的2017年调查中的数据采用了最佳最差级别和潜在的群体聚类分析的近额方法,以检查他们对大量风险来源的看法和影响这些看法的因素。结果表明生产和营销的风险,如产出价格的变化,降雨变异性和投入价格的变化,对农民的重要风险是对比。然而,结果还揭示了对这些确定的响应的异质性,这表明农民需要多方面的方法来解决风险。

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