DocumentCode :
2215498
Title :
A Prediction Model of Going-Concern - From the Viewpoint of Sustainable Development
Author :
Hung, Yu-Chung ; Shih, Ya-Nan
Author_Institution :
Dept. of Accounting & Inf. Technol., Nat. Chung Cheng Univ., Chiayi, Taiwan
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
4675
Lastpage :
4678
Abstract :
The export-oriented firms face a lot of international environmental pressure due to the regulations of international environmental protection enacted by developed countries. Therefore, this paper based on the viewpoint of sustainable development attempts to establish the prediction model of going-concern of Taiwan including environmental indicators, financial indicators and corporate governance indicator. Making use of logistic regression model carried out empirical research. The results of this study are as follows: first, liability ratio, return on assets, cash flow ratio and percentage of ownership held by the directors and supervisor have information content for the prediction of going-concern; second, the results of this study provided partial support for the environmental indicators, the behavior of penalty and indemnity due to environmental pollution and the transparency of environmental information provide information content in the prediction model of going-concern.
Keywords :
environmental factors; regression analysis; sustainable development; Taiwan; cash flow ratio; corporate governance indicator; developed countries; environmental indicators; environmental information; environmental pollution; export-oriented firms; financial indicators; international environmental pressure; international environmental protection; liability ratio; logistic regression model; prediction model; regulations; sustainable development; Environmental management; Information science; Information technology; Insurance; International trade; Logistics; Pollution; Predictive models; Protection; Sustainable development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.138
Filename :
5454848
Link To Document :
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