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Understanding the causal relationships among economic growth, energy consumption, and CO2 emission is important for formulating energy conservation and emission reduction policies. In this paper, we explore the causal relationships among economic growth, energy consumption, and CO2 emission in China during 1978–2012 by using both the linear and nonlinear causality tests. The obtained results show...
With the rapid development of China economy, the freight market continues to increase, which is shown by the freight amount rise of roadway, railway, and waterway. Therefore, forecasting accurately the future trend of freight amount has a very important strategic meaning. This paper uses BP neural network method to build the freight market forecast model in China. The predication error is just 0.02~0...
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