DocumentCode :
3461488
Title :
Improvement of XBRL Financial Reporting Classification Criteria in China
Author :
Wenyi, Li
Author_Institution :
Accounting Coll., Wuhan Univ. of Sci. & Eng., Wuhan, China
fYear :
2009
fDate :
June 30 2009-July 2 2009
Firstpage :
919
Lastpage :
923
Abstract :
The current XBRL financial reporting classification criteria in China is based on the accounting system for business enterprises, which doesnpsilat meet the requirements of the current accounting standard for business enterprises and thus is required for improvement. Through the analysis on the contents and creation process of XBRL financial reporting classification criteria, this paper puts forward ideas and steps for the improvement of Chinapsilas XBRL classification criteria for financial reporting. Firstly, redefine the basic common elements required for disclosure in financial reports by relying mainly on the accounting standards for business enterprises in China, supplemented by international financial reporting standards; secondly,expand the basic classification to create the extended classification according to the requirements of different enterprises; thirdly, modify the present model definition file and link base files; lastly, generate specific XBRL financial reports compliant with the accounting standards for business enterprises based on the extended classification.
Keywords :
XML; accounts data processing; company reports; pattern classification; China; XBRL financial reporting classification criteria; accounting standard; accounting system; business enterprise; international financial reporting standard; link base file; model definition file; Companies; Dictionaries; Displays; Educational institutions; Electronic mail; Forward contracts; Internet; Stock markets; XML; XBRL; classification criteria; financial reporting; improvement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Trends in Information and Service Science, 2009. NISS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3687-3
Type :
conf
DOI :
10.1109/NISS.2009.99
Filename :
5260762
Link To Document :
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