Use of Data Envelopment Analysis (DEA) to assess management alternatives in the presence of multiple objectives

被引:13
|
作者
Pascoe, Sean [1 ]
Cannard, Toni [1 ]
Dowling, Natalie A. [2 ]
Dichmont, Catherine M. [3 ]
Asche, Frank [4 ]
Little, L. Richard [2 ]
机构
[1] Queensland Biosci Precinct, CSIRO Oceans & Atmosphere, 306 Carmody Rd, Brisbane, Qld 4067, Australia
[2] CSIRO Oceans & Atmosphere, Hobart, Tas 7000, Australia
[3] Cathy Dichmont Consulting, Bongaree, Qld 4507, Australia
[4] Univ Florida, Sch Forest Fisheries & Geomat Sci, POB 110410, Gainesville, FL 32611 USA
关键词
Data envelopment analysis; DEA; Multi-criteria decision analysis; MCDA; Fisheries management; Multiple objectives; MULTICRITERIA DECISION-ANALYSIS; CAPACITY UTILIZATION; EFFICIENCY ANALYSIS; COST-EFFECTIVENESS; FISHING CAPACITY; FISHERIES; MODEL; SIMULATION; CRITERIA; OPTIONS;
D O I
10.1016/j.marpol.2022.105444
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Marine ecosystem-based management often aims to satisfy a wide range of economic, social and environmental objectives. These are often measured in non-commensurable units, making identification of a preferred option difficult when outcomes and measures vary considerably. In this paper, we examine the potential for data envelopment analysis (DEA) as an alternative approach to traditional multi-criteria decision analysis (MCDA). We derive multi-output composite indicator scores for three case study examples. The management alternatives are assessed both with and without exogenously determined objective preference weights. The frontier-based analysis does not require weights to be assigned to each objective, instead generating flexible "benefit of the doubt" weights that allow for different objectives to be influencing each management option. Applying stake-holder objective importance weights allows the assessment of the objective alignment of the different stakeholder groups, providing additional information on management option performance. The DEA results were found to be consistent with those from an earlier study that used a more traditional MCDA approach. DEA has the additional advantage of not requiring measures to be commensurable and can also directly incorporate undesirable out-comes into the analysis.
引用
收藏
页数:11
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