Advanced Search
MyIDEAS: Login

Measuring The Effects Of Oil Prices On China'S Economy: A Factor-Augmented Vector Autoregressive Approach

Contents:

Author Info

  • Francois Lescaroux
  • Valerie Mignon

Abstract

The aim of this paper is to investigate the impacts of oil prices on the Chinese economy. To this end, we rely on the factor-augmented vector autoregressive methodology, which allows us to evaluate the response of various macroeconomic variables to an oil price shock. Our results suggest that an oil price shock leads to: (i) a contemporaneous increase in consumer and producer price indexes, inducing a rise in interest rates; (ii) a delayed negative impact on GDP, investment and consumption; and (iii) a postponed increase in coal and power prices. Copyright 2009 The Authors. Journal compilation 2009 Blackwell Publishing Asia Pty Ltd

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1468-0106.2009.00457.x
File Function: link to full text
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Wiley Blackwell in its journal Pacific Economic Review.

Volume (Year): 14 (2009)
Issue (Month): 3 (08)
Pages: 410-425

as in new window
Handle: RePEc:bla:pacecr:v:14:y:2009:i:3:p:410-425

Contact details of provider:
Web page: http://www.blackwellpublishing.com/journal.asp?ref=1361-374X

Order Information:
Web: http://www.blackwellpublishing.com/subs.asp?ref=1361-374X

Related research

Keywords:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Chen, Guifu & Hamori, Shigeyuki, 2009. "Energy prices and China’s international competitiveness," MPRA Paper 18827, University Library of Munich, Germany.
  2. Alom, Fardous, 2011. "Economic Effects of Oil and Food Price Shocks in Asia and Pacific Countries: An Application of SVAR Model," 2011 Conference, August 25-26, 2011, Nelson, New Zealand 115346, New Zealand Agricultural and Resource Economics Society.
  3. Fernald, John G. & Spiegel, Mark M. & Swanson, Eric T., 2014. "Monetary policy effectiveness in China: evidence from a FAVAR model," Working Paper Series 2014-7, Federal Reserve Bank of San Francisco.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:bla:pacecr:v:14:y:2009:i:3:p:410-425. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.