Artikel

Ultimate government control structures and firm value: Evidence from Chinese listed companies

We show that 70% of Chinese listed companies are ultimately controlled by government agencies, thereby indicating that state ownership remains widespread in China's stock markets. Three questions are considered that are related to government control structures and their impact on firm value: (1) how do government agencies maintain their control of listed companies; (2) what are the impacts of different government control structures on firm value; and (3) are these impacts different in local government and central government-controlled firms? We find that the Chinese government controls listed companies directly or indirectly through solely state-owned enterprises (SSOEs). Taking into account the trade-off between political and agency costs, we show that firm value increases when some control rights are decentralized from the government to state-owned enterprises (SOEs). Moreover, decentralization improves significantly the performance of local government- controlled, but not central government-controlled firms.

Sprache
Englisch

Erschienen in
Journal: China Journal of Accounting Research ; ISSN: 1755-3091 ; Volume: 2 ; Year: 2009 ; Issue: 1 ; Pages: 101-122 ; Amsterdam: Elsevier

Klassifikation
Management
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Mergers; Acquisitions; Restructuring; Voting; Proxy Contests; Corporate Governance
International Financial Markets
Thema
Government control structures
Firm value
Agency costs
Political costs
Decentralization

Ereignis
Geistige Schöpfung
(wer)
Wang, Kun
Xiao, Xing
Ereignis
Veröffentlichung
(wer)
Elsevier
(wo)
Amsterdam
(wann)
2009

DOI
doi:10.1016/S1755-3091(13)60010-6
Handle
Letzte Aktualisierung
10.03.2025, 11:46 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Wang, Kun
  • Xiao, Xing
  • Elsevier

Entstanden

  • 2009

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