A survey of data envelopment analysis in energy and environmental studies
By Peng Zhou, Beng Wah Ang, Kim Leng Poh. European Journal of Operational Research, 2008
1,249 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/3c664841b68ea2a8fb319771361bc942e21e353d
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In Electrical and Electronic Engineering
In Management Science and Operations Research
Citations in the corpus
- Linear programming models for measuring economy-wide energy efficiency performance (2008, methodology): “McClelland (1999), Boyd et al. (2002), Färe et al. (2004), Watanabe and Tanaka (2007), and Zhou et al. (2006, 2007, 2008b).”
- Measuring economy-wide energy efficiency performance: A parametric frontier approach (2012, background): “It has gained popularity in energy and environmental studies and a recent literature review can be found in [6].”
- Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis (2013, methodology): “(2) and its variations have been studied extensively to assess energy and environmental performances (Zhou et al., 2008).”
- Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach (2012, methodology): “A large number of studies, such as Zofio and Prieto (2001), Zhou et al. (2007, 2008b, 2010), Kortelainen (2008), Kuosmanen and Kuosmanen (2009), and Sueyoshi and Goto (2011a,b,c, 2012), have contributed to the development of DEA models for measuring energy efficiency or environmental performance.”
- Total-factor energy efficiency of regions in China (2006, methodology): “Built upon the earlier work of Farrell (1957), DEA is a well established methodology to evaluate the relative efficiencies of a set of comparable entities by some specific mathematical programming models (Zhou et al., 2008).”