Abstract
Interest conflict is present between shareholder and executive, the multi-task agency model analysis indicates that the executive compensation decision mechanism exists inner impulse of over-incention, executive compensation control is not only reasonable but also necessary, government might control executive compensation by strengthening the right of shareholder decision in executive compensation, disclosing executive compensation information in detail, and setting up the institution of derivative action.
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References
Gibbons, R.: Incentives in Organizations. Journal of Perspectives (12), 115–132 (1998)
Chen, C.: Reconstruction of senior executives of listed companies pay system. To explore Economic Issues (10), 97–99 (2004)
Ye, Q.: Cold Chong total: State-owned enterprises out of control executive pay and governance. Monthly Price 5, 43–47 (2009)
Zhu, Y.K.: Operators from the control mechanism of remuneration exploration. Hebei Law (1), 26–30 (2006)
Naik, G.: Glaxo Holders Rejiect CEO’s Compensation Package. Wall Street Journal (May 08, 2003)
Wenjie company executive pay legal studies. Shanghai University of Finance (8), 43–49 (2010)
Hu, Shi, X.: Senior executives of listed companies is extremely high salaries of judicial intervention. Rule of Law and Forum (8) 108–109 (2008)
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Zhu, Xg., Shen, Lp. (2012). Economic Analysis on Executive Pay Control. In: Qu, X., Yang, Y. (eds) Information and Business Intelligence. IBI 2011. Communications in Computer and Information Science, vol 268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29087-9_43
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DOI: https://doi.org/10.1007/978-3-642-29087-9_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29086-2
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