Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA
By Xiaodan Guo, Lei Zhu, Ying Fan, Bai-Chen Xie. 2011
229 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/191c38d1ab2e1d3e27c4a2b81883e2688266315d
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Citations in the corpus
- Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure (2012, methodology): “[23] estimate the carbon efficiency and emission reduction potentials in different Chinese provinces based on an environmental DEA approach.”
- Sources of production inefficiency and productivity growth in China: A global data envelopment analysis (2015, background): “In response, some scholars have tried to incorporate environmental factors into the total-factor framework (Bian and Yang, 2010; Chen and Golley, 2014; Chiu and Wu, 2010; Färe et al., 2007; Guo et al., 2010; Li and Hu, 2010; Lin et al., 2011; Meng et al., 2013; Shi et al., 2010; Wang and Feng, 2014;”
- Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis (2013, background): “…approach, some studies have focused on the CO2 emission performance of China at the national level (Song et al., 2013), provincial level (e.g., Guo et al., 2011; Choi et al., 2012;Wei et al., 2012) or industry 1 Oh and Lee (2010) are thefirst to present ametafrontierMalmquist index by…”
- Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach (2013, methodology): “One special case is Guo et al. (2011), who take energy structure adjustment into account in measuring CO2 emission reduction in China.”
- Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis (2012, background): “However, fossil energy use will inevitably produce undesirable outputs such as CO2 emissions (Guo et al., 2011).”