Emissions reduction in China׳s chemical industry – Based on LMDI

By Boqiang Lin, Houyin Long. 2016

177 citations recorded by the source corpus.

Subfields: Automotive Engineering, Environmental Engineering, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/77aa2bf987d487177072e97d7e0cfe09e36df151

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. Mara Madaleno
2. Zhaohua Wang
3. Roula Inglesi-Lotz
4. V. Moutinho
5. Eyup Dogan

In Environmental Engineering

1. Zhaohua Wang
2. Roula Inglesi-Lotz
3. Mara Madaleno
4. Chen Wang
5. Anita Engels
6. V. Moutinho
7. Eyup Dogan
8. Danish

In Health, Toxicology and Mutagenesis

1. Mara Madaleno
2. Zhaohua Wang
3. Roula Inglesi-Lotz
4. V. Moutinho
5. Eyup Dogan
6. Olimpia Neagu
7. K. Ehigiamusoe

Citations in the corpus

• Factors affecting CO2 emissions in top countries on renewable energies: A LMDI decomposition application (2018, background): “[50] looked at the potential of the Chinese steel industry to reduce their emissions, while [51] and [52] evaluated the driving factors of carbon emission changes in the chemical industry.”
• Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system (2018, background): “The larger output per worker means more energy consumed by more equipment, leading to more GHG emissions [59].”