Decomposition analysis of energy-related CO2 emission in the industrial sector of China: Evidence from the LMDI approach

Fatima, Tehreem; Xia, Enjun; Cao, Zhe; Khan, Danish; Fan, Jing-Li

Decomposition analysis of energy-related CO2 emission in the industrial sector of China: Evidence from the LMDI approach

2019

Fatima, Tehreem | Xia, Enjun | Cao, Zhe | Khan, Danish | Fan, Jing-Li

Energy consumption and increasing CO₂ emissions in China are mainly indorsed to the industrial sector. The objective of this study was to explore the main factors driving CO₂ emissions in China’s industry throughout 1991–2016. Based on the log-mean Divisia index (LMDI) method, this study decomposes the change of industry-related CO₂ emissions into energy structure effect, income effect, energy intensity effect, carbon emission, and labor effect. The core results indicate that CO₂ emissions in China’s industry experienced a significant increase from 738.5 to 7271.8 Mt during 1991–2013, while it decreased to 6844.0 Mt in 2016. The income effect and labor effect are the top two emitters, which accounted for increases of 351.8 Mt and 57.8 Mt in CO₂ emissions respectively. Additionally, the energy structure effect also played a role in increasing CO₂ emissions. Energy intensity and carbon emission effects are the most important factors in reducing CO₂ emissions. The policy suggestions about the different period-wise analyses in terms of economic growth, energy structure, and energy intensity are provided.

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