Measuring ecological total-factor energy efficiency incorporating regional heterogeneities in China

By Ning Zhang, Fanbin Kong, Yanni Yu. 2015

182 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/330b9a0de3816801a82dd16a1b0adbb7bbb20c5b

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. Mara Madaleno
2. M. Robaina
3. Hirotaka Takayabu
4. Chen Lin
5. V. Moutinho
6. Shogo Eguchi

In Environmental Engineering

1. Mara Madaleno
2. M. Robaina
3. Hirotaka Takayabu
4. Chen Lin
5. V. Moutinho
6. Shogo Eguchi

In Management Science and Operations Research

1. M. Robaina
2. Mara Madaleno
3. Hirotaka Takayabu
4. Chen Lin
5. V. Moutinho
6. Shogo Eguchi

Citations in the corpus

• The economic and environmental efficiency assessment in EU cross-country: Evidence from DEA and quantile regression approach (2017, background): “Zhang et al. (2015) measure ecological total factor efficiency incorporating environmental technology effects and including heterogeneity into Chinese regions.”
• Sources of inefficient power generation by coal-fired thermal power plants in China: A metafrontier DEA decomposition approach (2020, methodology): “In recent studies on the energy efficiency in China, metafrontier analysis has been widely used to estimate the energy efficiency based on regional heterogeneity [15-18].”