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dc.contributor.authorCattaneo, Cristinaen
dc.contributor.authorManera, Matteoen
dc.contributor.authorScarpa, Elisaen
dc.date.accessioned2010-09-01-
dc.date.accessioned2010-09-29T08:56:53Z-
dc.date.available2010-09-29T08:56:53Z-
dc.date.issued2008-
dc.identifier.urihttp://hdl.handle.net/10419/40686-
dc.description.abstractThe 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.en
dc.language.isoengen
dc.publisher|aFondazione Eni Enrico Mattei (FEEM) |cMilanoen
dc.relation.ispartofseries|aNota di Lavoro |x2008,8en
dc.subject.jelC23en
dc.subject.jelE6en
dc.subject.jelQ31en
dc.subject.jelQ41en
dc.subject.ddc330en
dc.subject.keywordEnergy demanden
dc.subject.keywordCoal demanden
dc.subject.keywordChinaen
dc.subject.keywordSpatial econometricsen
dc.subject.keywordPanel dataen
dc.subject.keywordForecastingen
dc.titleIndustrial coal demand in China: A provincial analysis-
dc.typeWorking Paperen
dc.identifier.ppn560338392en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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