Bayesian Vector Autoregression Forecasts of Chinese Steel Consumption

Paul Crompton and Yanrui Wu

Journal of Chinese Economic and Business Studies, 2003, vol. 1, issue 2, 205-219

Abstract: China consumed 116 million tonnes of steel in 2000, making it the largest consumer of steel in the world. China differs fundamentally from other countries at similar levels of economic development in that the secondary sector, the traditional consumer of steel products, already accounts for a significant proportion of domestic production. This suggests that little of any future growth in China's steel consumption will result from further rises in the 'steel intensity' of domestic production. Rather, growth in GDP will be the driving force behind future growth in steel consumption. This paper uses a macroeconomic Bayesian vector autoregression model to forecast steel consumption in China to 2010. This technique uses historical correlations among the variables in a system of equations and Bayesian priors on the estimated parameters, to introduce more flexibility into the forecasting process and align the models closer in nature to structural commodity market models. The forecasts suggest that steel consumption in China will rise from 116 million tonnes in 2000 to around 182 million tonnes in 2010.

Keywords: China; Steel Consumption; Bayesian Vector Autoregression (search for similar items in EconPapers)
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/1476528032000066703E (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:jocebs:v:1:y:2003:i:2:p:205-219

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RCEA20

DOI: 10.1080/1476528032000066703E

Access Statistics for this article

Journal of Chinese Economic and Business Studies is currently edited by Professor Xiaming Liu

More articles in Journal of Chinese Economic and Business Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().