Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/9542
DC FieldValueLanguage
dc.contributor.authorChan Hing-linen_US
dc.contributor.authorDr. LEE Shu Kamen_US
dc.date.accessioned2024-04-22T05:16:26Z-
dc.date.available2024-04-22T05:16:26Z-
dc.date.issued1997-
dc.identifier.citationEnergy Economics, 1997, vol. 19(3), pp. 271-287.en_US
dc.identifier.issn0140-9883-
dc.identifier.issn1873-6181-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/9542-
dc.description.abstractIn contrast with developed countries, coal is the major energy source of China. In view of its importance, this paper attempts to analyse and forecast the country's demand for coal as it moves towards the next century. To do this, we have applied three different methods to contrast their performances in fitting the Chinese data: Engle-Granger's error correction model, Hendry's error correction model and Hendry's general-to-specific approach. It is found that the Engle-Granger approach outperforms the other two in terms of having the smallest ex post forecast errors. Using the Engle-Granger approach, the model predicts that the Chinese economy will experience a 5% shortage in the year 2000.en_US
dc.language.isoenen_US
dc.relation.ispartofEnergy Economicsen_US
dc.titleModelling and forecasting the demand for coal in Chinaen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doihttps://doi.org/10.1016/S0140-9883(96)01019-5-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Economics and Finance-
Appears in Collections:Economics and Finance - Publication
Show simple item record

Page view(s)

38
Last Week
0
Last month
checked on Dec 20, 2024

Google ScholarTM

Impact Indices

Altmetric

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.