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Identifying risk in production agriculture: an application of best-worst scaling
International Food and Agribusiness Management Review ( IF 1.5 ) Pub Date : 2020-02-07 , DOI: 10.22434/ifamr2019.0133
Cosmos Atta 1 , Eric T. Micheels 2
Affiliation  

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 perceived importance of the risk and the perceived level of control that producers have in managing the risk. This study uses data from a 2017 survey of grain and oilseed farmers in Saskatchewan and employs a count-based approach of best-worst scaling and latent class cluster analysis to examine their perception of the most important sources of risk and the factors that influence these perceptions. The results suggest production and marketing risks, such as variation in output prices, rainfall variability, and changes in input prices, are the most important risks to farmers. However, results also reveal heterogeneity in responses to these identified risks, suggesting that a multifaceted approach is needed by farmers to address risk.

中文翻译:

确定生产农业中的风险:最差规模的应用

风险的识别和管理在减少农场收入变化方面起着重要作用。风险管理工具和策略的选择可能取决于几个因素,包括对风险的感知重要性以及生产者在管理风险时所掌握的控制水平。这项研究使用的是2017年萨斯喀彻温省谷物和油料作物农民调查的数据,并采用了基于计数的最佳最差尺度和潜在类别聚类分析方法,以检查他们对最重要风险来源的看法以及影响这些看法的因素。结果表明,生产和销售风险,如产出价格变化,降雨多变性和投入价格变化,是对农民最重要的风险。然而,
更新日期:2020-02-07
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