Carbon Emissions Modeling of China Using Neural Network

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.