Financial Data Mining in Chinese Public Companies: Corporate Performance and Corporate Governance in Business Groups
Data mining becomes a vital information technology tool in todays competitive business world. It helps companies discover previously unknown, valid, and actionable information from various and large databases for crucial business decisions. This paper shows an application of data mining method in corporate governance. With a structural equation model analysis, this paper examines an important issue concerned to the relation between corporate governance and firm performance. Bused on a sample of 520 public companies, it is found that ownership structure generally has significant effect on firm performance, with different indicators having different influence on performance, while there is no relationship between structure of board of directors and firm performance. The founding shows big differences between subsidiaries and headquarters in Chinese business groups in the perspective of corporate governance.
Qi Yue Hai-lin Lan Luan Jiang
School of Business Administration, South China University of Technology, Guangzhou, 510640 School of Economy and Management, South China Normal University, Guangzhou, 510006
国际会议
长沙
英文
772-776
2008-10-20（万方平台首次上网日期，不代表论文的发表时间）