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识别最相关的同行以进行基准化废物管理绩效评估:有条件定向距离法。

Identifying the most relevant peers for benchmarking waste management performance: A conditional directional distance Benefit-of-the-Doubt approach.

机构信息

KU Leuven, Faculty of Economics and Business, ECON-CEDON Research Centre, Warmoesberg 26, 1000 Brussels, Belgium.

KU Leuven, Faculty of Economics and Business, ECON-CEDON Research Centre, Warmoesberg 26, 1000 Brussels, Belgium.

出版信息

Waste Manag. 2019 Apr 15;89:418-429. doi: 10.1016/j.wasman.2019.04.006. Epub 2019 Apr 18.

Abstract

The paper demonstrates that the outcome of the robust and conditional directional distance version of the BoD model not only contains information on the overall efficiency score and rank, but also enables a region to identify its genuine peers, disentangle the overall effect of the background conditions on the performance and assess one's relative strengths and relative weakness vis-à-vis its most relevant peers when evaluating its municipal solid waste management. We illustrate how this information can be retrieved from the outcomes of DEA/BoD based efficiency and performance benchmarking studies by applying the methodology to the case of the Brussels Capital Region. The results show that Freiburg Hamburg and the province of Limburg are in general the most interesting peers for the Brussels Capital Region. In addition, the analysis reveals that Freiburg is identified as the most instructive peers if the region is interested in improving its composting and recycling rate.

摘要

本文证明,BoD 模型的稳健和条件定向距离版本的结果不仅包含有关整体效率得分和排名的信息,还使一个地区能够识别其真正的同行,将背景条件对绩效的整体影响分开,并在评估其城市固体废物管理时,评估其相对于最相关同行的相对优势和相对劣势。我们通过将该方法应用于布鲁塞尔首都大区的案例,说明了如何从基于 DEA/BoD 的效率和绩效基准测试研究的结果中检索这些信息。结果表明,弗赖堡、汉堡和林堡省通常是布鲁塞尔首都大区最有趣的同行。此外,分析还表明,如果该地区有兴趣提高堆肥和回收利用率,那么弗莱堡被确定为最具启发性的同行。

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