2010
DOI: 10.2202/1446-9022.1209
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Overcoming Data Limitations in Nonparametric Benchmarking: Applying PCA-DEA to Natural Gas Transmission

Abstract: We empirically demonstrate a practical approach of efficiency evaluation with limited data availability in some regulated industries. We apply PCA-DEA for radial efficiency measurement to U.S. natural gas transmission companies in 2007. PCA-DEA reduces dimensions of the optimization problem while maintaining most of the variation in the original data. Our results suggest that the methodology reduces the probability of over-estimation of individual firm-specific performance.

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Cited by 5 publications
(3 citation statements)
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“…There are two main streams of efficiency evaluation and benchmarking approaches in the literature: nonparametric and parametric. DEA as a nonparametric approach and stochastic frontier analysis (SFA) as a parametric approach are the most commonly used methods (Nieswand, Cullmann, & Neumann, ). DEA is a nonparametric method used to empirically measure the relative efficiency of decision making units (DMUs) that use multiple inputs to produce multiple outputs (Charnes, Cooper, & Rhodes, ).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…There are two main streams of efficiency evaluation and benchmarking approaches in the literature: nonparametric and parametric. DEA as a nonparametric approach and stochastic frontier analysis (SFA) as a parametric approach are the most commonly used methods (Nieswand, Cullmann, & Neumann, ). DEA is a nonparametric method used to empirically measure the relative efficiency of decision making units (DMUs) that use multiple inputs to produce multiple outputs (Charnes, Cooper, & Rhodes, ).…”
Section: Methodsmentioning
confidence: 99%
“…DEA is a nonparametric method used to empirically measure the relative efficiency of decision making units (DMUs) that use multiple inputs to produce multiple outputs (Charnes, Cooper, & Rhodes, ). As a nonparametric method, DEA's reference technology is not determined by imposing a functional form that describes the production process, but by means of linear programming methods assuming a transformation of inputs into outputs (Nieswand et al., ). The basic DEA models consider two types of technology, constant returns to scale (CRS) proposed by Charnes et al.…”
Section: Methodsmentioning
confidence: 99%
“…The use of PCA-DEA approach for performance assessment can be found in different fields (aviation (Adler and Golany, 2001); manufacturing (Azadeh et al, 2007, Põldaru et al, 2014; logistics (Andrejić et al, 2013, Chen et al, 2016, Jiang and Fu, 2009; ecology (Liang et al, 2009, Nieswand et al, 2009; agriculture (Dong et al, 2016); finance (Jothimani et al, 2017); health (Annapoorni and Prakash, 2017)). To our knowledge there is one paper (Adler and Golany, 2002) where hybrid PCA and DEA approach was applied for education data (assessed performance of seven university departments).…”
Section: Introductionmentioning
confidence: 99%