Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis

By F. Wu, Liwei Fan, Peng Zhou, Dequn Zhou. 2012

315 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/d52b5d842de364eedd37302ad67fdde42015d8d5

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. Chao Feng
2. Peng Zhou
3. Dequn Zhou
4. Qunwei Wang
5. Zengyao Zhao
6. Zhaohua Wang
7. Hui Wang
8. Boqiang Lin

In Environmental Engineering

1. Chao Feng
2. Peng Zhou
3. Dequn Zhou
4. Qunwei Wang
5. Zhaohua Wang
6. Zengyao Zhao
7. Hui Wang
8. Ali Emrouznejad

In Management Science and Operations Research

1. Chao Feng
2. Peng Zhou
3. Dequn Zhou
4. Qunwei Wang
5. Zengyao Zhao
6. Zhaohua Wang
7. Hui Wang
8. Guo-liang Yang

Citations in the corpus

• A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries (2016, background): “[56] Regional industrial sector Total-factor energy efficiency change Radial Input CCR þ DDF ML index”
• Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis (2013, background): “As such, Zhou and Ang (2008)first proposed several DEAmodelswith undesirable outputs for evaluating total-factor energy efficiency performance, which was followed by a number of studies such as Mandal (2010), Wang et al. (2012) and Wu et al. (2012).”