Modeling undesirable factors in efficiency evaluation

By L. Seiford, Joe Zhu. European Journal of Operational Research, 2002

1,472 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/9b45ec60a1f5a2c5baed4c0f4a279e4ed91c1cdf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Ke Wang
2. Joe Zhu
3. Ali Emrouznejad
4. Adel Hatami-Marbini
5. Per J. Agrell
6. Yi-Ming Wei
7. Shiwei Yu
8. Peng Zhou

In Management Science and Operations Research

1. Peng Zhou
2. Ke Wang
3. Ning Zhang
4. Yi-Ming Wei
5. Beng Wah Ang
6. Joe Zhu
7. Zhimin Huang
8. Ali Emrouznejad

Citations in the corpus

• China's regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation (2013, methodology): “There are several methods can deal with this difficulty, such as using the reciprocals of the undesirable outputs (Fare, 1989), treating the undesirable outputs as input (Reinhard, 2000), and mathematically translate the undesirable outputs into desirable outputs under the classification invariance ”
• A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs? (2012, methodology): “Seiford and Zhu (2002) developed such a DEA model,which mathematically transforms the undesirable outputs into desirable outputs under the classification invariance.”
• Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings (2016, background): “, 1995) and then dealt as strongly disposable desirable outputs; (ii) indirectly be treated as strongly disposable desirable outputs after a linear monotone transformation (Seiford and Zhu, 2002; Seiford and Zhu, 2005; Zhu 2014); or (iii) directly be treated as inputs which are freely or strongly di”
• Environmental efficiency assessment of U.S. transport sector: A slack-based data envelopment analysis approach (2016, neutral): “One approach involves the translation of original data and utilization of the traditional DEA model (Seiford and Zhu, 2002; Lovell et al., 1995).”
• Energy efficiency of selected OECD countries: A slacks based model with undesirable outputs (2015, background): “In the VRS (variable returns to scale) environment, Seiford and Zhu (2002) propose a methodological approach that first, multiplies each undesirable output by –1 and then finds a proper translation vector so as all negative undesirable outputs are positive.”