Examining the driving forces for improving China’s CO2 emission intensity using the decomposing method

By Z. Tan, Li Li, Jianjun Wang, Jianhui Wang. 2011

140 citations recorded by the source corpus.

Subfields: Automotive Engineering, Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/b860e03af5020f2766214274205b5bf9fea3d5dc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Yong Geng
2. Shuai Shao
3. D. Guan

In Economics and Econometrics

1. Shuai Shao
2. Lili Yang
3. Yong Geng
4. D. Guan
5. Min Fu
6. Jidong Kang
7. Guochang Fang
8. Chun Gan

In Environmental Engineering

1. Shuai Shao
2. Yong Geng
3. D. Guan
4. Lili Yang
5. Jidong Kang
6. Chun Gan
7. Tao Zhao
8. Nan Liu

Citations in the corpus

• Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes:A case study for Shanghai (China) (2016, background): “Consequently, it has gradually become the most prevailing decomposition method of driving forces of CO2 emissions change [7-11].”