DocumentCode :
2581421
Title :
Empirical Research of the Relationship between Characteristics of Supervisory Board and Earnings Quality
Author :
Bin Xia ; Cang Zhao
Author_Institution :
Fac. of Bus. Adm., Xi´an Univ. of Technol., Xian
fYear :
2009
fDate :
23-25 Jan. 2009
Firstpage :
409
Lastpage :
412
Abstract :
In recent years, financial statement fraud of listed companies is a deleterious cancer of security market, the quality of accounting information has become focus of the whole society. Based on the empirical analysis of the annual report of China´s 160 listed companies in 2006, this paper makes an empirical study on the relationship of characteristics of supervisory board and earnings quality. The results indicate that there is no significant correlation between characteristics of supervisory board and earnings quality, as the independent supervisory organ in company´s administration structure of our country, the board of supervisor has defects on system design and which has not played its due role in practice. We believe that, to some extent, it is the advantageous status of the management that has put supervisory board at a disadvantage. With the rise of professional managers and the expansion and growth of institutional investors, however, the ldquodisadvantageous statusrdquo of supervisory board will be greatly improved. Therefore, during the course of improvement of the market economy in china, supervisor board system must be improved for a real effective supervision.
Keywords :
financial data processing; fraud; securities trading; accounting information quality; earning quality; financial statement fraud; listed companies; market economy; security market; supervisor board system; Audit Committee; Board of Directors; Cancer; Companies; Data mining; Data security; Financial management; Information security; Standards development; State feedback; characteristics of supervisory board; earnings quality; share holding proportion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
Type :
conf
DOI :
10.1109/WKDD.2009.51
Filename :
4771962
Link To Document :
بازگشت