G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Industrial Coal Demand in China: A Provincial Analysis
Matteo Manera; Cristina Cattaneo; Elisa Scarpa
发表日期2008
出处Energy: Resources and Markets
出版年2008
语种英语
摘要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. *** Suggested citation: Cristina Cattaneo, Matteo Manera, Elisa Scarpa, Industrial coal demand in China: A provincial analysis, Resource and Energy Economics, Volume 33, Issue 1, January 2011, Pages 12-35, ISSN 0928-7655, http://dx.doi.org/10.1016/j.reseneeco.2009.12.002
特色分类C23,E6,Q31,Q41
关键词Energy demand in China,Coal demand in China,Chinese provinces,Panel data Spatial econometrics,Forecasting
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/industrial-coal-demand-in-china-a-provincial-analysis/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/117533
推荐引用方式
GB/T 7714
Matteo Manera,Cristina Cattaneo,Elisa Scarpa. Industrial Coal Demand in China: A Provincial Analysis. 2008.
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