DocumentCode :
3410880
Title :
Grey incidence analysis between energy consumption structure and Chinese GDP growth
Author :
Wang, Limin
Author_Institution :
Coll. of Econ. & Manage., Zhongyuan Univ. of Technol., Zhengzhou, China
fYear :
2009
fDate :
10-12 Nov. 2009
Firstpage :
228
Lastpage :
232
Abstract :
This paper applies grey incidence analysis to study the relationship between energy consumption structure and GDP growth during the ¿the ninth five-year plan¿ and ¿the tenth five-year plan¿ in China, and uses GM(1,1) model to predict the total energy consumption in the future. The result indicates that the order is coal, crude oil, natural gas, hydro-power, nuclear power and wind power in turn at present, and coal is the most important energy influencing the economic development. The energy consumption and GDP have close relationship during ¿the tenth five-year plan¿. In the future, Chinese total energy consumption will maintain a steady growth and reach 3627.10 million tons SCE in 2010.
Keywords :
economics; energy consumption; grey systems; Chinese GDP growth; economic development; energy consumption structure; grey incidence analysis; Economic forecasting; Economic indicators; Energy consumption; Fuel economy; Geometry; Intelligent structures; Intelligent systems; Petroleum; Power generation economics; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4914-9
Electronic_ISBN :
978-1-4244-4916-3
Type :
conf
DOI :
10.1109/GSIS.2009.5408316
Filename :
5408316
Link To Document :
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