Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach

By R. Fei, Boqiang Lin. 2016

157 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/3709b428d493e37130ca5c6601209377e481ba12

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. Wenping Wang
2. Wen-wen Li
3. Yu Wang
4. Yingbo Qin

In Environmental Engineering

1. Wenping Wang
2. Wen-wen Li
3. Yu Wang
4. Yingbo Qin

In Management Science and Operations Research

1. Wenping Wang
2. Wen-wen Li
3. Yu Wang
4. Yingbo Qin

Citations in the corpus

• Industrial structure, technological progress and CO2 emissions in China: Analysis based on the STIRPAT framework (2017, methodology): “In the second method, total factor productivity (TFP) is used as a proxy variable of generalized technological progress using data envelopment analysis (DEA) or stochastic frontier analysis (SFA) (Wu et al. 2016; Fei and Lin 2016; Yu et al. 2016; Weng et al. 2015; Guesmi et al. 2015).”