Directional distance functions and slacks-based measures of efficiency

By R. Färe, Shawna Grosskopf. European Journal of Operational Research, 2010

421 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/2c2a5812f92eaf83db213cc785158cc026a6637c

How researchers see this paper

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In Control and Systems Engineering

1. Peng Zhou
2. Beng Wah Ang
3. Hui Wang
4. Ali Emrouznejad
5. Tzu-Pu Chang
6. Jin-Li Hu
7. Chu Wei
8. Roman Matousek

In Management Science and Operations Research

1. Peng Zhou
2. Beng Wah Ang
3. Ning Zhang
4. Dequn Zhou
5. Hui Wang
6. Chu Wei
7. Limin Du
8. Aoife Hanley

Citations in the corpus

• Total-factor energy productivity growth, technical progress, and efficiency change: An empirical study of China (2010, methodology): “Following the work of Färe and Grosskopf [27], we denote D !”
• Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach (2012, methodology): “Compared to the several recent studies on non-radial directional distance function, e.g. Färe and Grosskopf (2010), Fukuyama and Weber (2010), Fukuyama et al. (2011) and Barros et al. (2012), which directly provide the DEA models for calculating directional slacks-based in efficiency measures, this…”
• Power Industry Restructuring and Eco-Efficiency Changes: A New Slacks-Based Model in Malmquist- Luenberger Index Measurement (2014, methodology): “One of the latest models, which was recently introduced by Färe and Grosskopf (2010a; 2010b)b) is slacks-based model written as follows: Do(x, y)= (4) Subject to ∑ ∑ In fact, Model (4) has been developed to find the best expansion and contraction rate for each output and input, respectively.”
• Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model (2011, background): “There is well established empirical research that shows that independent variables that characterizes financial aspects of banks are important determinants of bank efficiency (Mester, 1996, Fethi and Pasiouras, 2010). Empirical studies have used a two-step approach to estimate the determinants of ba”