Integrated data envelopment analysis methods for measuring technical, environmental, and eco-efficiencies
Integrated data envelopment analysis methods for measuring technical, environmental, and eco-efficiencies
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用于测量技术、环境和生态效率的综合数据包络分析方法
DOI：
10.1016/j.jclepro.2019.117939
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发表时间：
2019
影响因子：
11.1
通讯作者：
Chen Ya
中科院分区：
文献类型：
--
作者：
Xie Jianhui;Zhou Shengchao;Chen Ya
为了遏制环境恶化，中国政府越来越重视绿色经济，并通过增加环境保护指标来加强其绩效评估体系。数据包络分析(DEA)是一种非参数方法，已越来越多地被用于评估具有多个输入和期望和非期望输出的实体的相对效率。在这项研究中，我们提出了两种新的基于DEA的方法来估计技术、环境和生态效率。一种是集中式方法，另一种是基于理想点的方法。集中式方法首先估计总的生态效率，然后将其分解为技术效率和环境效率。理想点法首先为每个决策单元(DMU)构造一个帕累托前沿，然后从理想点处按比例收缩，求出技术效率和环境效率的最优解。最后，利用求解模型得到的最优乘子计算生态效率。我们证明，当且仅当一个DMU在技术上和环境上是有效的时，它才是生态有效的。将该模型应用于中国所在的区域道路运输系统，验证了所提方法的有效性和实用性。
To curb environmental deterioration, the Chinese government has placed a growing emphasis on the green economy and has enhanced their performance evaluation system by adding indices of environmental protection. Data envelopment analysis (DEA), which is a nonparametric method, has been increasingly used to evaluate relative efficiencies for entities with multiple inputs and desirable and undesirable outputs. In this study, we propose two new DEA-based approaches to estimate technical, environmental, and eco-efficiencies. One is a centralized method and the other is an idea point-based method. The centralized method estimates the aggregate eco-efficiencies first and then decomposes them into technical and environmental efficiencies. The idea point method first constructs a Pareto front for each decision-making unit (DMU) and then finds the optimal solution for technical and environmental efficiency by proportionally shrinking from the idea point. Finally, eco-efficiency is computed using the optimal multipliers from solving the models. We demonstrate that a DMU is eco-efficient if and only if it is technically and environmentally efficient. The application of the model to China's regional road transport system verifies the effectiveness and practicability of the proposed methods.