英文摘要 |
Previous researches on corporate governance had not been able to derive at the corporate governance dimensions that had solid effects on the business values due to limitations of data sources or study methods. On the other hand, the Multivariate Nonparametric Regression Analysis Technique-Multivariate Adaptive Regression Splines (MARS) is not required to conform to the basic hypotheses in the traditional regressions. It is also able to rapidly obtain the conversions and interactions among best variables hidden in the high dimensional and complex data structures by means of more optimum algorithms. The selection of independent variables and the relative importance of the independent variables can be conducted and then be determined by the MARS. Therefore, the corporate governance data are collected from the listed companies of the Taiwan Stock Exchange stock in 2000~2006. MARS is then used to select board characteristics and the ownership structure which are related variables in most influential to business values. The main effects of corporate governance on the business values and the moderating effects of financial health are then analyzed through the panel data. The most influential variables to the business value are selected by using MARS in this research. They include independent directors and supervisors under board characteristics as well as the holding ratio in supervisor/shareholder, domestic financial institution, domestic natural persons, and foreign natural persons under ownership structure. Meanwhile, the fixed-effect model is adopted in this research. It is verified that the higher the number of independent directors and supervisors as well as the holding ratio in supervisor/shareholder, the domestic financial institution, and the domestic natural persons. Moreover, this study produces significant and positive effects on the business value. Furthermore, the higher the company with financial health, board characteristics and ownership structure can be strengthened to create positive benefits in terms of business values. |