State ownership and market liberalization: Evidence from China's domestic M&A market

Ming Ma, Xian Sun, Maya Waisman and Yun Zhu

Journal of International Money and Finance, 2016, vol. 69, issue C, 205-223

Abstract: We study how state ownership affects the post-merger performance of Chinese acquirers, and find that state owned acquirers (SOEs) experience a significantly larger long-term performance improvement following mergers compared to their non-state-owned (NSOE) counterparts. When partitioning the sample period into acquisitions made prior to and following China's split-share reform of 2005, we find that the post-merger performance improvement of SOE acquirers is largely attributed to the post reform period in which controlling shareholders converted their non-tradable shares into tradable status. Our results are consistent with the interpretation that state intervention in the form of capital market liberalization and alleviation of governance problems, combined with political connections and privileged access to financing, may have a positive effect on M&A performance that outweighs the inefficiency cost of state ownership in China.

Keywords: State ownership; M&A; Split reform share; Firm performance (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0261560616300833
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:jimfin:v:69:y:2016:i:c:p:205-223

DOI: 10.1016/j.jimonfin.2016.07.004

Access Statistics for this article

Journal of International Money and Finance is currently edited by J. R. Lothian

More articles in Journal of International Money and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().