Industrial coal demand in China: A provincial analysis

Cristina Cattaneo, Matteo Manera () and Elisa Scarpa

Resource and Energy Economics, 2011, vol. 33, issue 1, 12-35

Abstract: 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 fixed-effect spatial models. The empirical results show that the fixed-effect spatial ADL model is able to capture the existing interdependence between provinces. This model forecasts an average annual increase in coal demand to 2010 of nearly 2%.

Keywords: Energy; demand; in; China; Coal; demand; in; China; Chinese; provinces; Panel; data; Spatial; econometrics; Forecasting (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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Related works:
Working Paper: Industrial Coal Demand in China: A Provincial Analysis (2008)
Working Paper: Industrial Coal Demand in China: A Provincial Analysis (2008)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:resene:v:33:y:2011:i:1:p:12-35

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