Chaoqing Yuan

TL;DR: In this article, two univariate models, ARIMA (the autoregressive integrated moving average) model and GM(1,1) model, are used to forecast China's primary energy consumption.

TL;DR: In this article, an optimized single variable discrete grey forecasting model is adopted to forecast the total amount of energy production and consumption while a novel Markov approach based on quadratic programming model is proposed to forecast trends of energy consumption structures.

TL;DR: In this paper, the influence on energy consumption and economic growth of Global Financial Crisis and the stimulus plan against it by input-output analysis is discussed, and the results show that the fall of exports caused by the Global Financial crisis will lead to a decrease of 7.33% in GDP (Gross Domestic Production) and a reduction of 9.21% in energy consumption.

TL;DR: In this paper, a grey forecasting model based on non-homogeneous index sequence approximately (abbreviated as NDGM) is proposed and the recursive function of the NDGM model is proposed.

TL;DR: In this article, the cointegration relations among energy prices, energy consumption and economic outputs were investigated by co-integration equations, impulse response functions, granger causality and variance decomposition, and showed that higher energy price will decrease energy consumption in Chinese industrial sectors but will not reduce the economic output in the long run.