Based on upper echelon theory, we employ machine learning to explore how CEO characteristics influence corporate violations using a large-scale dataset of listed firms in China for the period 2010-2020. Comparing ten machine learning methods, we find that eXtreme Gradient Boosting (XGBoost)...

Executive turnover is important in the governance of state-owned enterprises (SOEs). Herein, we focus on the executive turnover of China's SOEs, and the implementation of related evaluation mechanisms under different levels of government intervention. We collect executive turnover data of listed...

We investigate an emerging pay-performance activism under a natural setting of performance-focused shareholder proposals rule (PSPs) (Rule 14a-8) established by the Securities and Exchange Commission (SEC) for top management compensation. We find that: (1) PSP sponsors successfully identify...