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首页> 外文期刊>The Science of the Total Environment >Combined use of Data Envelopment Analysis and Life Cycle Assessment for operational and environmental benchmarking in the service sector: A case study of grocery stores
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Combined use of Data Envelopment Analysis and Life Cycle Assessment for operational and environmental benchmarking in the service sector: A case study of grocery stores

机译:组合使用数据包络分析和生命周期评估服务部门的运营和环境基准:杂货店的案例研究

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摘要

Ensuring sustainable production patterns doing more and better with less is a key sustainable development goal. In this sense, the joint use of Life Cycle Assessment and Data Envelopment Analysis (ie., the LCA + DEA methodology) arises as a quantitative tool for the eco-efficiency assessment of multiple similar entities. To date, the LCA+DEA methodology has been widely applied to case studies within the primary and secondary sectors. However, the applicability of this combined methodology to case studies within the tertiary (service) sector is still unexplored, which constitutes a current knowledge gap in this field. This work contributes to filling this gap by benchmarking the operational and environmental performance of a sample of 30 groceries located in Spain. All the evaluated groceries were found to involve relative efficiency scores above 0.60, with one third of the groceries deemed fully efficient. Average reductions of 3-26% in the consumption of operational inputs were calculated, leading to average reductions of 9% in the carbon footprint and 10% in the energy footprint. Furthermore, economic savings of up to 3% of the annual turnover were estimated. These results were further enriched through the application of a super-efficiency DEA model for a refined identification of the best-performers, as well as through the novel use of a specific model for the gradual operational and environmental benchmarking of the sample. Overall, a high applicability of the LCA + DEA methodology for eco-efficiency assessment within the service sector is concluded, facilitating the identification and quantification of sustainable operational patterns. (C) 2019 Elsevier B.V. All rights reserved.
机译:确保可持续生产模式越来越少,少于可持续发展目标。从这个意义上讲,共同使用生命周期评估和数据包络分析(即,LCA + DEA方法)作为多种类似实体的生态效率评估的定量工具。迄今为止,LCA + DEA方法已被广泛应用于初级和二级部门内的案例研究。但是,这一组合方法的适用性在第三大学(服务)部门内的案例研究仍未开发,这构成了该领域的目前知识差距。这项工作有助于通过基准测试位于西班牙的30个杂货样本的运营和环境绩效,有助于填补这一差距。发现所有评估的杂货都涉及相对效率得分在0.60以上,其中三分之一的杂货被认为是完全有效的。计算运营投入消耗量3-26%的平均降低,导致碳足迹的平均降低9%,能量足迹10%。此外,估计年营业额的经济储蓄高达3%。通过应用超级效率DEA模型进一步富集了这些结果,以便精制识别最佳表演者,以及通过对样品的逐渐运行和环境基准测试的特定模型的新颖使用。总体而言,缔结了LCA + DEA方法对服务部门的生态效率评估的高适用性,促进了可持续业务模式的识别和量化。 (c)2019 Elsevier B.v.保留所有权利。

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