A global Malmquist-Luenberger productivity index

By Dong-hyun Oh. 2010

1,026 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/b26bc9bea0b2d0a09844be2de37cbc426e32bd39

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. Q. Qin
3. Zhaohua Wang
4. Li Li
5. Xin Li
6. Wei Zhen
7. Ali Emrouznejad
8. Guo-liang Yang

In Environmental Engineering

1. Chao Feng
2. Zhaohua Wang
3. Q. Qin
4. Li Li
5. Xin Li
6. Wei Zhen
7. Ali Emrouznejad
8. Guo-liang Yang

In Management Science and Operations Research

1. Chao Feng
2. Zhaohua Wang
3. Guo-liang Yang
4. Q. Qin
5. Li Li
6. Wei Zhen
7. Xin Li
8. Ali Emrouznejad

Citations in the corpus

• Decomposition of the environmental inefficiency of the meta-frontier with undesirable output (2012, background): “Oh (2010a) proposed the global Malmquist-Luenberger index to overcome this weakness of the ML index.”
• Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas (2017, methodology): “The GML productivity index based on GBT set can overcome the deficiencies that exist in the traditional ML productivity index [23,55].”
• A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries (2016, background): “[37] proposed the GMLPI which is circular and free of infeasibility problem.”
• Sources of production inefficiency and productivity growth in China: A global data envelopment analysis (2015, background): “As Oh (2010) has already discussed, the GML index and its decomposed components are circular.”