Environmental efficiency evaluation based on data envelopment analysis: A review
By M. Song, Qingxian An, Wei Zhang, Zeya Wang, Jie Wu. 2012
396 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/285a1df2c69dd81e541cbeaf27a237f79b089dc0
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In Economics and Econometrics
In Environmental Engineering
In Management Science and Operations Research
Citations in the corpus
- A non-parametric bootstrap-data envelopment analysis approach for environmental policy planning and management of agricultural efficiency in EU countries (2017, background): “International literature contains a large number of surveys and case studies dealing with efficiency, which represents the key factor to reach the global target of sustainable development (Song et al., 2012).”
- Better resource management: An improved resource and environmental efficiency evaluation approach that considers undesirable outputs (2018, background): “Scholars have started to discuss DEA models that take into account undesirable outputs; these studies have taken as their research direction the evaluation of environmental efficiency evaluation (Färe et al., 1989; Song et al., 2012).”
- Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas (2017, background): “The DEA approach does not have to assume the functional form between inputs and outputs and can avoid manmade subjectivity in parameter weighting for efficiency estimation [24].”
- Environmental efficiency evaluation of industry in China based on a new fixed sum undesirable output data envelopment analysis (2014, neutral): “comprehensively reflect the operational situation of industry because it considers both economic and environmental factors in the efficiency evaluation system (Song et al., 2012).”
- Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China (2015, positive): “It has been widely used in the evaluation of technical efficiency with undesirable output (Chen and Golley, 2014; He et al., 2013; Kaneko and Managi, 2004; Song et al., 2012; Watanabe and Tanaka, 2007; Zhang and Choi, 2014; Zhang et al., 2011; Zhou and Ang, 2008; Zhou et al., 2014b).”