Efficiency-based rank assessment for electric power industry: A combined use of Data Envelopment Analysis (DEA) and DEA-Discriminant Analysis (DA)

By Toshiyuki Sueyoshi, Mika Goto. 2012

153 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/88716d37e58933ad4d91897284d2d242e64a5a7f

How researchers see this paper

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

In Electrical and Electronic Engineering

1. Ning Zhang
2. Yongmei Bentley
3. Yongrok Choi
4. Ramakrishnan Ramanathan
5. Usha Ramanathan

In Management Science and Operations Research

1. Ning Zhang
2. Yongrok Choi
3. Yongmei Bentley
4. Usha Ramanathan
5. Ramakrishnan Ramanathan
6. Peng Zhou
7. Boqiang Lin
8. Ali Emrouznejad

Citations in the corpus

• The debate on flexibility of environmental regulations, innovation capabilities and financial performance : a novel use of DEA (2018, methodology): “Following this suggestion of the new approach, Sueyoshi and Goto (2012b) employed combine use of DEA and DEA-DA to energy firms to determine the efficiency-based ranks.”
• Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis (2013, methodology): “…many studies have employed the DEA method to analyze the efficiency of fossil fuel electricity generation (e.g., Barros and Peypoch, 2008; Liu et al., 2010; Sözen et al., 2010; Sueyoshi et al., 2010; Yang and Pollitt, 2010; Sueyoshi and Goto, 2011, 2012; Jaraite and Maria, 2012; Zhou et al., 2012).”