A comparison of shareholder identity and governance mechanisms in the monitoring of CEOs of listed companies in China
Jiwei Wang ()
China Economic Review, 2010, vol. 21, issue 1, 24-37
Abstract:
This paper compares the relative effectiveness of two measures by which the Chinese government attempted to improve the monitoring of listed companies: shifting the ownership of state shares from government agencies (GAs) to the corporate form of state-owned enterprises (SOEs), and strengthening corporate governance through statutory regulations and guidelines. The results show that SOEs are better able than GAs to monitor top executives, as indicated by a higher sensitivity of top executive turnover to firm performance. However, corporate governance mechanisms have no significant impact on the sensitivity of top executive turnover to firm performance. This study suggests that incentives for controlling shareholders are more important than governance mechanisms in replacing executives due to poor performance in a transitional economy such as China's, where institutions that support governance mechanisms are still being developed.
Keywords: China; Corporate; governance; Ownership; structure; Shareholder; identity; Top; executive; turnover (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1043-951X(09)00126-6
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chieco:v:21:y:2010:i:1:p:24-37
Access Statistics for this article
China Economic Review is currently edited by B.M. Fleisher, K. X. D. Huang, M.E. Lovely, Y. Wen, X. Zhang and X. Zhu
More articles in China Economic Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().