Industrial Coal Demand in China: A Provincial Analysis

Authors: Matteo Manera, Cristina Cattaneo, Elisa Scarpa

Year: 2008

Series: FEEM Working Paper  n.2008.08

ISSN: 2037-1209

Keywords: Energy demand in China,Coal demand in China,Chinese provinces,Panel data; Spatial econometrics,Forecasting

JEL n.: C23,E6,Q31,Q41



The general concern on the environmental implications of the rising demand for coal registered in China during the last few years has induced considerable research effort to produce accurate forecasts of China’s energy requirements. Nevertheless, no previous study has modelled the coal demand in China at provincial level. The aim of this paper is twofold. First, we estimate and forecast the Chinese demand for coal using panel data disaggregated by provinces and accounting for spatial heterogeneity. Second, given the spatial nature of the data, we explicitly capture the spatial autocorrelation among provinces using spatial econometrics. In particular, we specify the Chinese industrial coal demand at provincial level with a fixed-effect spatial lag model and a fixed-effect spatial error model. The fixedeffect spatial lag model seems to better capture the existing interdependence between provinces. This model forecasts an average annual increase in coal demand to 2010 of 4 percent. 

Industrial Coal Demand in China: A Provincial Analysis