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

机译:确定最相关的同行以对废物管理绩效进行基准测试:有条件的定向距离“双赢”方法

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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-a-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. (C) 2019 Published by Elsevier Ltd.
机译:本文表明,BoD模型的健壮和有条件的定向距离版本的结果不仅包含有关整体效率得分和等级的信息,而且还使一个区域能够识别其真正的同伴,从而消除背景条件对环境的总体影响。评估其城市固体废物管理时的绩效,并评估其相对最相关的同伴的相对优势和相对劣势。我们通过将方法论应用于布鲁塞尔首都地区的案例,说明了如何从基于DEA / BoD的效率和绩效基准研究的结果中检索到此信息。结果表明,弗莱堡汉堡和林堡省通常是布鲁塞尔首都大区最引人注目的同行。此外,分析表明,如果该地区有兴趣提高堆肥和回收率,弗莱堡将被认为是最具启发性的同行。 (C)2019由Elsevier Ltd.发布

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