首页> 外文期刊>Agrarwirtschaft >Risikoberucksichtigung in der nicht parametrischen Effizienzanalyse: Auswirkungen auf die Effizienzbewertung von deutschen Schweinemastbetrieben. (Non-parametric Risk-Adjusted Efficiency Measurement: An Application to Pig Fattening in Germany. With English summary.)
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Risikoberucksichtigung in der nicht parametrischen Effizienzanalyse: Auswirkungen auf die Effizienzbewertung von deutschen Schweinemastbetrieben. (Non-parametric Risk-Adjusted Efficiency Measurement: An Application to Pig Fattening in Germany. With English summary.)

机译:非参数效率分析中的风险考虑:对德国养猪场效率评估的影响。 (非参数风险调整后的效率测量:在德国的猪育肥中的应用。英文摘要。)

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摘要

This paper presents two approaches to integrating risk into data envelopment analysis (DEA). The risk-adjusted DEA models are applied to a balanced panel of 278 farms with alternative degrees of specialisation in pig fattening. Both models explicitly take account of output risk in determining efficient benchmarks. Output risk is measured and included in both models as standard deviation of total farm gross margin but different assumptions are formulated with respect to the correlation of the output among observations. Contrasting the results of the two risk-adjusted models to those of the standard DEA model reveals significant differences in efficiency scores. The empirical results support the hypothesis that farms with a low degree of specialisation in particular achieve higher efficiency scores when output risk is explicitly accounted for.
机译:本文提出了两种将风险整合到数据包络分析(DEA)中的方法。经风险调整的DEA模型应用于278个农场的均衡面板,在猪的育肥方面具有不同的专业化程度。两种模型在确定有效基准时都明确考虑了输出风险。对产出风险进行了测量,并将其作为总农场毛利率的标准偏差包括在两个模型中,但是针对观测值之间的产出相关性,制定了不同的假设。将这两种风险调整后的模型的结果与标准DEA模型的结果进行比较,可以发现效率得分存在显着差异。实证结果支持以下假设:当明确考虑产出风险时,专业化程度低的农场尤其会获得更高的效率得分。

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