E3S Web Conf.
Volume 53, 20182018 3rd International Conference on Advances in Energy and Environment Research (ICAEER 2018)
|Number of page(s)||7|
|Section||Environmental Protection, Pollution and Treatment|
|Published online||14 September 2018|
Decomposition Analysis on Influence Factors of Direct Household Energy-related Carbon Emission in Guangdong Province-Based on Extended Kaya Identity
Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, No.2,Nengyuan Rd.,Wushan,Tianhe District, Guangzhou 510640, China
* Corresponding author: firstname.lastname@example.org
The decomposition quantitative model of household energy-related carbon emission in Guangdong is established based on the extended Kaya identity with the Logarithmic Mean Divisia Index (LMDI) method. Influence factors of household energy-related carbon emission are decomposed into five factors. Main results show that total household energy-related carbon emissions in Guangdong province show increase trend from 1995 to 2016. Electric power consumption is the biggest source of household energy-related carbon emission. The results of decomposition show that population size is the first promote factor to household energy-related carbon emission in 1996-2004. Energy use level become the first promote factor in 2005-2016. Carbon emission coefficient show reduction effect, which is the first inhibit factor to energy-related carbon emission. Finally, two effective means to reduce household carbon emissions are given to Guangdong province.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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