Environmental assessment and dealing with undesirable outputs: DEA-based approach

M. Zoriehhabib, M. Rostamy-Malkhalifeh, F. Lotfi
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Abstract

This paper discusses an indirect portion oriented approach based on a traditional data envelopment analysis (DEA), requiring a proportional reduction of undesirable outputs. The proposed technique prepares an accommodation of undesirable factors in their primary form. In particular, this study is interested in the concept of weak disposability axioms. Given a decreased output vector, each decision making unit attempts to decrease a vector of desirable outputs proportionally with respect to the least wastage. These issues lead to the development of a model based on the weak disposable technology which can analyse the changeable production with reduction of both the desirable and undesirable outputs. Real-life data of 22 organisation for economic cooperation and development (OECD) countries is used in the empirical analysis. This analysis demonstrates that the proposed model is suitable for any assessment involving the proportional reduction of output indicators when undesirable outputs are presented. To achieve this aim the proposed epsilon-based model is applied to evaluate the efficiency of data for 27 Japanese electric power companies.
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环境评估和处理不良产出:基于dea的方法
本文讨论了一种基于传统数据包络分析(DEA)的间接面向部分的方法,该方法要求按比例减少不良输出。所提出的技术准备以其原始形式容纳不良因素。本研究特别关注弱可处置性公理的概念。给定一个减少的输出向量,每个决策单元尝试相对于最小浪费按比例减少理想输出向量。这些问题导致了一个基于弱一次性技术的模型的发展,该模型可以分析随期望和不期望产出的减少而变化的生产。实证分析使用了22个经济合作与发展组织(OECD)国家的真实数据。这一分析表明,所提出的模型适用于任何涉及产出指标比例减少的评估,当出现不希望的产出时。为了实现这一目标,我们将提出的基于epsiln的模型应用于27家日本电力公司的数据效率评估。
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