DocumentCode
1652436
Title
Notice of Retraction
Evaluating the industry credit risk
Author
Yuanqi, Tang ; Xiang, Deng
Author_Institution
School of Economics, Sichuan University, Chengdu, China
fYear
2011
Firstpage
1
Lastpage
3
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Credit health is critical to industry survival especially in economic crisis. This article on a fresh perspective looks into this subject by the Battese and Coelli´s stochastic boundary model joined with Chinese manufacturing corporate financial data from 2002 through 2008. The empirical results concluded that there is a negative relationship between the corporate performance and its inner credit risk, respectively showing that strict financial controls on debt, accounts receivable collection and sufficient cash holding will reduce corporate credit risk and enforce operating efficiency.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Credit health is critical to industry survival especially in economic crisis. This article on a fresh perspective looks into this subject by the Battese and Coelli´s stochastic boundary model joined with Chinese manufacturing corporate financial data from 2002 through 2008. The empirical results concluded that there is a negative relationship between the corporate performance and its inner credit risk, respectively showing that strict financial controls on debt, accounts receivable collection and sufficient cash holding will reduce corporate credit risk and enforce operating efficiency.
Keywords
Data models; Economics; Industries; Information systems; Petroleum; Stochastic processes; credit risk; stochastic frontier; translog function;
fLanguage
English
Publisher
ieee
Conference_Titel
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location
Shanghai, China
Print_ISBN
978-1-4244-8691-5
Type
conf
DOI
10.1109/ICEBEG.2011.5882356
Filename
5882356
Link To Document