Next Article in Journal
Effects of Viscous Dissipation on the Slip MHD Flow and Heat Transfer past a Permeable Surface with Convective Boundary Conditions
Next Article in Special Issue
Assessing Climate Change Impacts on Global Hydropower
Previous Article in Journal
Reliability Assessment of Solder Joints in Power Electronic Modules by Crack Damage Model for Wind Turbine Applications
Previous Article in Special Issue
Optimal Design of Cogeneration Systems in Industrial Plants Combined with District Heating/Cooling and Underground Thermal Energy Storage
Energies 2011, 4(12), 2249-2272; doi:10.3390/en4122249
Article

Study on the Decomposition of Factors Affecting Energy-Related Carbon Emissions in Guangdong Province, China

1,2,3
, 1,2,*  and 1
Received: 31 October 2011; in revised form: 18 November 2011 / Accepted: 12 December 2011 / Published: 19 December 2011
(This article belongs to the Special Issue Energy Policy on Climate Change)
Download PDF [485 KB, updated 21 December 2011; original version uploaded 19 December 2011]
Abstract: Guangdong is China’s largest province in terms of energy consumption. The energy-related carbon emissions in Guangdong province are calculated, and two extended and improved decomposition models for energy-related carbon emissions are established with the Logarithmic Mean Divisia Index method based on the basic principle of Kaya identity. Main results are as follows: (1) the energy-related carbon emissions from the three strata of industry, except the primary industry, and household energy consumption in Guangdong province show increasing trend from 1995 to 2009; (2) the main driving and inhibiting factors which influence energy-related carbon emissions are economic output and energy intensity, respectively, while the contributions of energy mix, industrial structures, population size and living standards are not significant during the period of interest. It is concluded that optimizing the energy mix by exploiting new energy sources and cutting down energy intensity by developing low-carbon technologies are the two most effective approaches to reduce carbon emissions for Guangdong province in the future. The results and proposals in this paper provided reference for relevant administrative departments in the Government of Guangdong province to develop policies for energy conservation and emission reduction as well as to promote development of low-carbon economy.
Keywords: energy consumption; carbon emission; factor decomposition; Logarithmic Mean Divisia Index (LMDI) energy consumption; carbon emission; factor decomposition; Logarithmic Mean Divisia Index (LMDI)
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.

Export to BibTeX |
EndNote


MDPI and ACS Style

Wang, W.; Kuang, Y.; Huang, N. Study on the Decomposition of Factors Affecting Energy-Related Carbon Emissions in Guangdong Province, China. Energies 2011, 4, 2249-2272.

AMA Style

Wang W, Kuang Y, Huang N. Study on the Decomposition of Factors Affecting Energy-Related Carbon Emissions in Guangdong Province, China. Energies. 2011; 4(12):2249-2272.

Chicago/Turabian Style

Wang, Wenxiu; Kuang, Yaoqiu; Huang, Ningsheng. 2011. "Study on the Decomposition of Factors Affecting Energy-Related Carbon Emissions in Guangdong Province, China." Energies 4, no. 12: 2249-2272.


Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert