MODELING AND FORECASTING THE DEMAND FOR COAL IN CHINA

Authors
Citation
Hl. Chan et Sk. Lee, MODELING AND FORECASTING THE DEMAND FOR COAL IN CHINA, Energy economics, 19(3), 1997, pp. 271-287
Citations number
20
Categorie Soggetti
Economics
Journal title
ISSN journal
01409883
Volume
19
Issue
3
Year of publication
1997
Pages
271 - 287
Database
ISI
SICI code
0140-9883(1997)19:3<271:MAFTDF>2.0.ZU;2-K
Abstract
In contrast with developed countries, coal is the major energy source of China. In view of its importance, this paper attempts to analyse an d forecast the country's demand for coal as it moves towards the next century. To do this, we have applied three different methods to contra st their performances in fitting the Chinese data: Engle-Granger's err or correction model. Hendry's error correction model and Hendry's gene ral-to-specific approach. It is found that the Engle-Granger approach outperforms the other two in terms of having the smallest ex post fore cast errors. Using the Engle-Granger approach, the model predicts that the Chinese economy will experience a 5% shortage in the year 2000.