Scientifically and accurately forecasting of future shale gas output tends is very important in making energy policies, especially for China whose historical data of shale gas output is very limited. The existing grey shale gas output prediction model does not perform well in prediction due to...

This paper analyzes the role of initialization when testing for a unit root in panel data, an issue that has received surprisingly little attention in the literature. In fact, most studies assume that the initial value is either zero or bounded. As a response to this, the current paper considers...

This article is concerned with a broad class of explosive AR(1) models. Allowing stationary dependence on the error process, we do not restrict ourselves to independent and identically distributed errors. The model accommodates, as special cases, GARCH errors, AR(1) errors and Gaussian ARMA...

This paper takes the total yield of products that need refrigerated transport as the impact factors of transport aggregate of cold chain logistics, such as meat, aquatic products, quick-frozen noodle, fruits, vegetables, dairy, and medicine. Through selecting the consumption data of urban...

By using the data concerning China's urban-rural residents' income gap from 1978 to 2010, this paper mainly researches the application of several kinds of models in predicting China's urban-rural residents' income gap. By conducting empirical analysis, we establish ARIMA prediction model, grey...

This paper examines the dynamic relationships between pollutant emissions, energy consumption, and the output for Brazil during 1980–2007. The Grey prediction model (GM) is applied to predict three variables during 2008–2013. In the long-run equilibrium emissions appear to be both energy...