Composite eco-efficiency indicators for China based on data envelopment analysis

By Jianhuan Huang, Jiejin Xia, Yantuan Yu, Ning Zhang. 2018

113 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/737294753e95f3647f18478a98acab88f632d117

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

1. Yongqin Xi
2. Mahmoud Masoud
3. Yan Song
4. Rong Chen
5. Jue Wang
6. Feimei Wu
7. Yunqiang Liu
8. Shi Qiang Liu

In Environmental Engineering

1. Yan Song
2. Yunqiang Liu
3. Zhiyi Meng
4. Jialing Zhu
5. Eldon Y. Li

Citations in the corpus

• Innovation-driven industrial green development: The moderating role of regional factors (2019, background): “(Chen et al., 2016; Huang et al., 2018; Tan and Lu, 2015; Wang et al., 2018) Water consumption per unit of industrial added value (ton/yuan) 0.”
• Environmental regulation, green technological innovation, and eco-efficiency: The case of Yangtze river economic belt in China (2020, methodology): “The Data Envelopment Analysis (DEA) model has been widely employed as a nonparametric environmental efficiency measurement (Fan et al., 2017; Huang et al., 2018), while other methods such as the analytic hierarchy process (Chen, 2009), total-factor productivity (Li and Wu, 2017), fuzzy assessment mo”