Evaluation of regional environmental efficiencies in China based on super-efficiency-DEA
By L. Yang, O. Han, Kuangnan Fang, L. Ye, Jing Zhang. 2015
207 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/27a5b4a09306fa142dbff3cb4a6935903224e45f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Ke Li
- Boqiang Lin
- Dalia Streimikiene
- Mara Madaleno
- M. Robaina
- Edmundas Kazimieras Zavadskas
- V. Moutinho
- Xiaoling Ouyang
In Environmental Engineering
- Ke Li
- Boqiang Lin
- Edmundas Kazimieras Zavadskas
- Mara Madaleno
- M. Robaina
- Dalia Streimikiene
- V. Moutinho
- Xiaoling Ouyang
In Management Science and Operations Research
- Boqiang Lin
- Edmundas Kazimieras Zavadskas
- Ke Li
- Dalia Streimikiene
- M. Robaina
- Mara Madaleno
- Indre Siksnelyte-Butkiene
- V. Moutinho
Citations in the corpus
- Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review (2020, methodology): “The method has been developed to evaluate efficiency and is based on mathematical programming [45].”
- Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China (2015, methodology): “Some recent literatures measure CO2 emission efficiency by using the DDF which is calculated by the sup-DEA models (Yang et al., 2014).”
- The economic and environmental efficiency assessment in EU cross-country: Evidence from DEA and quantile regression approach (2017, methodology): “Yang et al. (2015) measure the efficiency of China regions using DEA.”