Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Assessing the Impact of China's Steel Consumption Upon the World Price of Steel and its Inputs

Ernsthausen, Jeffery J. (2009) Assessing the Impact of China's Steel Consumption Upon the World Price of Steel and its Inputs. Undergraduate Thesis, University of Pittsburgh. (Unpublished)

Primary Text

Download (126kB) | Preview


In this paper, we attempt to estimate the impact of Chinese steel consumption upon the world price of steel mill products and inputs over the past several years. We focus upon the inputs of steel scrap and iron ore as inputs involving competing technologies. We find that an equilibrium relationship exists between China's consumption of steel and prices for steel and its inputs, but we cannot conclude from our analysis that variations in Chinese consumption drive variations in the prices of steel or its inputs.


Social Networking:
Share |


Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Ernsthausen, Jeffery
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairNamoro, Soiliousnamoro@pitt.eduSNAMORO
Committee MemberGiarratani, Frankfrankg@pitt.eduFRANKG
Committee MemberTannery, Frederickrickt@pitt.eduRICKT
Committee MemberRawski, Thomas Gtgrawski@pitt.eduTGRAWSKI
Date: 17 April 2009
Date Type: Completion
Defense Date: 10 April 2008
Approval Date: 17 April 2009
Submission Date: 19 May 2008
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Economics
David C. Frederick Honors College
Degree: BPhil - Bachelor of Philosophy
Thesis Type: Undergraduate Thesis
Refereed: Yes
Uncontrolled Keywords: china; iron ore; vector error correction; steel; steel scrap; VAR
Other ID:, etd-05192008-200950
Date Deposited: 10 Nov 2011 19:45
Last Modified: 15 Nov 2016 13:43


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item