Efficiency analysis of hydroelectric generating plants : A case study for Portugal
By Carlos Pestana Barros. 2008
143 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Finance, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/c8c30e1095fcdb0de104deeb4d3fef80477fe885
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Citations in the corpus
- Decomposition of the environmental inefficiency of the meta-frontier with undesirable output (2012, background): “efficiency and productivity of the electricity industry (Abbott, 2006; Barros, 2008; Barros and Peypoch, 2008; Nag, 2006; Pombo and Taborda, 2006; Ramos-Real et al., 2009; Sueyoshi et al., 2010; Vaninsky, 2006).”
- A sequential Malmquist-Luenberger productivity index : Environmentally sensitive productivity growth considering the progressive nature of technology (2010, unknown): “Barros (2008) employs the ML index to examine the productivity growth and its components of the hydroelectric energy generating plants in Portugal.”
- Empirical Analysis of Provincial Energy Efficiency in China (2009, methodology): “It has been used to compare efficiency across firms in manufacturing sectors (Kumbhakar and Hjalmarsson, 1998; Barros, 2008), and to compare energy efficiency across regions (Hu and Wang, 2006; Honma and Hu, 2008) and across countries (Chien and Hu, 2007).”
- Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis (2013, methodology): “(2011) and Barros et al. (2012) conduct further investigation on how to derive non-radial directional distance efficiency measure in the presence of undesirable outputs.”
- Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis (2013, methodology): “, 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). However, previous studies have been limited in that they have generally assessed environmental efficiency by us”
- A global Malmquist-Luenberger productivity index (2010, background): “as utilities [ 1 ], manufacturing industries [14], the public sector [19], and states [20, 12, 9, 6].”