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Sustainability 2015, 7(8), 9973-9988; doi:10.3390/su7089973

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

1,2
,
1,* , 1
and
3
1
School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
2
Department of Environmental Science and Engineering, Nankai University Binhai College, Tianjin 300270, China
3
Tianjin Academy of Environmental Sciences, Tianjin 300191, China
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 4 May 2015 / Revised: 8 July 2015 / Accepted: 20 July 2015 / Published: 24 July 2015
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Abstract

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. View Full-Text
Keywords: CO2 emissions; Logarithmic Mean Divisia Index (LMDI) method; Tianjin CO2 emissions; Logarithmic Mean Divisia Index (LMDI) method; Tianjin
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Wang, Z.; Zhao, L.; Mao, G.; Wu, B. Factor Decomposition Analysis of Energy-Related CO2 Emissions in Tianjin, China. Sustainability 2015, 7, 9973-9988.

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