Research of Carbon Emission Mechanism Coupling Model and Empirical Case---A Case Study of Beijing

DOI

10.2991/rsete.2013.64How to use a DOI?

Keywords

CO2 emission, Kaya model, logarithmic mean Division index model, The Coupling Model, energy consumption

Abstract

At present, CO2 emissions in China has been ranking second in the world, 75% of it coming from energy consumption. Effective control of CO2 emission has become an urgent problem, and analysis on the impact of factors affecting CO2 emissions will inevitably become the primary solution to this problem. Kaya model is constructed by the product of multiple influencing factors, which associates the CO2 emission quantity with living standards, economic growth, population size and per capita GDP. This study is based on the coupling of Kaya model and LMDI model which is built to comb Beijing’s evolution mechanism of carbon emissions from 2001 and 2010, and respectively builds CO2 emission factor separation model and energy consumption factor separation and superposition model to comb the evolution mechanism of Beijing’s CO2 emission in different angle of life and production department from 2001 to 2010. The results show that the living standard, economic growth, population size factors have become the main factors affecting the CO2 emissions, and the effect of energy intensity, industrial structure, energy on CO2 emissions has reached a bottleneck. Meanwhile the results of this study can provide policy recommendations for other provinces and cities to reduce CO2 emissions.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jin Jianyu
AU  - Shen Xiaoliu
AU  - Duan Lifeng
AU  - Cao Ting
PY  - 2013/08
DA  - 2013/08
TI  - Research of Carbon Emission Mechanism Coupling Model and Empirical Case---A Case Study of Beijing
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 260
EP  - 265
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.64
DO  - 10.2991/rsete.2013.64
ID  - Jianyu2013/08
ER  -