Measuring environmental performance under different environmental DEA technologies
Measuring environmental performance under different environmental DEA technologies
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DOI：
10.1016/j.eneco.2006.05.001
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发表时间：
2008
期刊：
影响因子：
12.8
通讯作者：
P. Zhou;B. Ang;K. Poh
中科院分区：
文献类型：
--
作者：
P. Zhou;B. Ang;K. Poh
数据包络分析（DEA）效率测度与环境包络分析技术相结合，在环境绩效测度中得到了广泛的应用。大多数研究假设环境DEA技术具有恒定的规模回报（CRS）。本文进一步讨论了具有非递增规模收益（NIRS）和变规模收益（VRS）的环境DEA技术。提出了基于VRS环境DEA技术的环境绩效测度的纯测度和混合测度。对于处理非线性规划模型的措施，我们也给出了它们的线性规划等价。最后，对世界8个地区的碳排放绩效进行了研究。
Data envelopment analysis (DEA) efficiency measures integrated with the environmental DEA technology have gained popularity in environmental performance measurement. Most studies assume that the environmental DEA technology exhibits constant returns to scale (CRS). In this paper we further discuss the environmental DEA technologies that exhibit non-increasing returns to scale (NIRS) and variant returns to scale (VRS). The pure measures under different situations and a mixed measure under the VRS environmental DEA technology for measuring environmental performance are proposed. For the measures that deal with nonlinear programming models, we also give their linear programming equivalents. Finally a study on measuring the carbon emission performance of eight world regions is presented.