零售牛肉需求和供给方程的替代群体识别

IF 0.3 Q4 AGRICULTURAL ECONOMICS & POLICY
T. Farrell
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引用次数: 0

摘要

在模拟零售肉类需求和供应方程时,很难确定接近的替代品或竞争产品。然而,通过肉类属性的比较,特别是烹饪方法和感官属性,可以识别出接近的替代品。澳大利亚肉类标准(MSA)分级系统可用于识别具有相似属性的动物(整块肌肉)。MSA系统是基于尸体属性、烹饪方法和感官特性,并将3、4或5颗星分配给牛肉动物。不同星级的价格受分配到每个等级的肉的数量的影响,这是由烹饪方法决定的,这取决于季节。通过MSA等级和烹饪方法估计需求和供应需要较少的变量,因此减少了多重共线性并提高了模型效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of substitute groups for retail beef demand and supply equations
In modelling retail meat demand and supply equations it is difficult to identify close substitutes or competing products. However, close substitutes can be identified through a comparison of meat attributes, especially cooking method and sensory attributes. The Meat Standards Australia (MSA) grading system can be used to identify primals (whole muscles) with similar attributes. The MSA system is based on carcase attributes, cooking methods and sensory properties and it allocates 3, 4 or 5 stars to beef primals. Prices for different star grades are affected by the quantity of meat allocated into each grade and this is determined by cooking method, which is dependent upon season. Estimating demand and supply by MSA grades and cooking methods requires fewer variables and therefore reduces multicollinearity and increases model efficiency.
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来源期刊
Australasian Agribusiness Review
Australasian Agribusiness Review AGRICULTURAL ECONOMICS & POLICY-
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33.30%
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