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
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;
Conference_Titel :
Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-1365-0
DOI :
10.1109/CSO.2012.155
