Factor Decomposition Analysis of Energy-Related CO2 Emissions in Tianjin, China

Sustainability

Zhe Wang²  Lin Zhao²  Guozhu Mao²  Ben Wu¹ 

[1] Tianjin Academy of Environmental Sciences, Tianjin 300191, China; E-Mail:;School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China; E-Mails:

关键词: CO₂ emissions;    Logarithmic Mean Divisia Index (LMDI) method;    Tianjin;   

DOI  :  10.3390/su7089973

来源: mdpi

【 摘 要 】

Tianjin is the largest coastal city in northern China with rapid economic development and urbanization. Energy-related CO₂ emissions from Tianjin’s production and household sectors during 1995–2012 were calculated according to the default carbon-emission coefficients provided by the Intergovernmental Panel on Climate Change. We decomposed the changes in CO₂ emissions resulting from 12 causal factors based on the method of Logarithmic Mean Divisia Index. The examined factors were divided into four types of effects: energy intensity effect, structure effect, activity intensity effect, scale effect and the various influencing factors imposed differential impacts on CO₂ emissions. The decomposition outcomes indicate that per capita GDP and population scale are the dominant positive driving factors behind the growth in CO₂ emissions for all sectors, while the energy intensity of the production sector is the main contributor to dampen the CO₂ emissions increment, and the contributions from industry structure and energy structure need further enhancement. The analysis results reveal the reasons for CO₂ emission changes in Tianjin and provide a solid basis upon which policy makers may propose emission reduction measures and approaches for the implementation of sustainable development strategies.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.