| Summary: | 碩士 === 中國文化大學 === 會計學系 === 105 === In the past few decades, scholars have published many studies on corporate social responsibility and financial performance, more to the more traditional regression model to analyze, data Mining technology rarely used in this research topic, so this study using data mining to explore the relationship between Corporate Social Responsibility and Financial Performance. According to the Research Report on Corporate Social Respon-sibility of China, this study is used "Responsibility Management", "Market Responsibil-ity", "Environment Responsibility" as a measure of corporate social responsibility per-formance. In addition to exploring the overall performance indicators, there are four in-dicators on the impact of financial performance.
In this study, earnings per share, return on assets and return on equity as financial performance proxy variables. Respectively, using rough set theory and decision tree to be identified. The empirical results show that the earnings per share is the highest as the financial performance agent variable, the accuracy rate of most of them are more than 80%. As for the important variables that affect financial performance, it is relatively important to manage responsibility in corporate social responsibility variables. Growth rate and the Firm size is relatively important in non-corporate social responsibility var-iables.
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