DocumentCode
3064101
Title
Carbon Emissions Modeling of China Using Neural Network
Author
Liu, Peng ; Zhang, Guoxing ; Zhang, Xutao ; Cheng, Sujie
Author_Institution
Sch. of Manage., Lanzhou Univ., Lanzhou, China
fYear
2012
fDate
23-26 June 2012
Firstpage
679
Lastpage
682
Abstract
The aim of this study is to find a model to forecast China´s carbon emission using the neural network. Some variables, such as GDP, export, investment in fixed assets and population, are considered. First, the neural network is constructed. Then, considering the effect of sub prime mortgage crisis and European debt crisis, we forecast the emissions in the next 10 years through the network. We find that emissions may be approaching the turning point. At last, the possible reasons are given.
Keywords
economic indicators; environmental economics; international trade; investment; neural nets; China; European debt crisis; GDP; carbon emission modeling; export; investment; neural network; subprime mortgage crisis; Carbon dioxide; Economic indicators; Government; Investments; Neural networks; Neurons; Predictive models; China; carbon emission; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4673-1365-0
Type
conf
DOI
10.1109/CSO.2012.155
Filename
6274816
Link To Document