Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method

By Min Zhao, Lirong Tan, Weiguo Zhang, Minhe Ji, Yuan Liu, Lizhong Yu. 2010

263 citations recorded by the source corpus.

Subfields: Automotive Engineering, Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/45c44366eb2c31ac2d81865f852cc850258fef70

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. Xiaoling Ouyang
2. Chunping Xie
3. Kerui Du

In Economics and Econometrics

1. Xiaoling Ouyang
2. Chunping Xie
3. Kerui Du
4. Yongqin Xi
5. Mahmoud Masoud
6. Rong Chen
7. Jue Wang
8. Feimei Wu

In Environmental Engineering

1. Chunping Xie
2. Xiaoling Ouyang
3. Kerui Du
4. Boqiang Lin
5. Chuanwang Sun

Citations in the corpus

• A comparison of carbon dioxide (CO2) emission trends among provinces in China (2017, background): “driving force for the considerable decrease in China’s CO2 emissions ([26]; [27]; 39 [28]).”
• Decomposition analysis of energy-related carbon emissions from UK manufacturing (2012, unknown): “Although SDA analysis can give more refined decomposition of economic and technological effects [19], IDA was used here because of its simplicity, the availability of data, and as previous decomposition studies of the UK [6-15] tend to use IDA.”
• Innovation-driven industrial green development: The moderating role of regional factors (2019, background): “But on the other hand, innovation has also been found to increase production capacity which leads to a higher consumption of natural resource as well as pollution (Wang et al., 2014; Zhao et al., 2010).”