The eco-efficiency of pulp and paper industry in China: an assessment based on slacks-based measure and Malmquist–Luenberger index

By Chang Yu, Lei Shi, Yutao Wang, Yuan Chang, Baodong Cheng. 2016

123 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/92091abe01d7177fa401fffa157b1a1ba73fc40b

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. Jan Anton van Zanten
2. Wenping Wang
3. Wen-wen Li
4. R. van Tulder
5. Yu Wang
6. Yingbo Qin

In Environmental Engineering

1. Jan Anton van Zanten
2. Wenping Wang
3. Wen-wen Li
4. R. van Tulder
5. Yu Wang
6. 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).”
• Towards nexus-based governance: defining interactions between economic activities and Sustainable Development Goals (SDGs) (2020, background): “For instance, China’s pulp and paper industry, contributing to 25% of global production, accounts for 18% of the country’s wastewater emissions (Yu et al. 2016).”