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Identifying Efficient Dairy Producers Using Data Envelopment Analysis

机译:使用数据包络分析确定高效的乳制品生产商

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The objective of this research was to calculate the efficiency of a group of Pennsylvania dairy farms to determine factors that contributed to efficiency in production and business management. Data envelopment analysis (DEA) was used to estimate the efficiency. Two models were developed to measure the efficient use of physical (land, cows, and labor) inputs to produce physical (milk and butterfat) outputs, and the use of physical and economic (debt capital) inputs to produce physical and economic (income) outputs. The results showed that about 29% of the producers in our sample were DEA-efficient and demonstrated that there was no combination of inputs used by efficient producers that was best. In addition, the method of analysis illustrated the benefits of DEA in that it is possible to identify the set of efficient producers that inefficient producers can benchmark to in an effort to achieve similar levels of efficiency. Finally, the analysis demonstrated that producers should not benchmark to the highest level of production, but rather should combine resources in land, labor, cows, and debt capital to achieve an efficient level of production, which indeed may be less than the maximum production level of the group.
机译:这项研究的目的是计算一组宾夕法尼亚州奶牛场的效率,以确定有助于生产和业务管理效率的因素。数据包络分析(DEA)用于估计效率。开发了两个模型来衡量有效使用有形(土地,奶牛和劳动力)投入以产生有形(牛奶和黄油)产出,以及使用有形和经济(债务资本)投入以产生有形和经济(收入)的模型。输出。结果表明,在我们的样本中大约29%的生产者是DEA有效的,并且表明没有有效生产者使用的最佳投入组合。此外,分析方法还说明了DEA的优势,因为它可以确定效率低下的生产者集合,低效率的生产者可以以此为基准,以实现相似的效率水平。最后,分析表明,生产者不应以最高生产水平为基准,而应结合土地,劳动力,奶牛和债务资本的资源来实现有效的生产水平,这实际上可能低于最高生产水平组中的。

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