The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Helping Hand or Grabbing Hand? Central vs. Local Government Shareholders in Chinese Listed Firms
Abstract
We analyze related party transactions between Chinese publicly listed firms and their state-owned shareholders to examine whether companies benefit or lose from the presence of government shareholders and politically connected directors. Minority shareholders seem to be expropriated in firms controlled by local governments, firms with a large proportion of local government directors on their board, firms without central government directors, and firms in provinces where local government bureaucrats are less likely to be prosecuted for corruption. In contrast, firms controlled by the central government (or having central government affiliated directors), benefit in related party transactions with their government parents.
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Citations
Cites
The Value of the Voting Right: A Study of the Milan Stock Exchange Experience
Zingales, L. (1994) · Review of Financial Studies · doi:10.1093/rfs/7.1.125 · Cited by 970
Cited by
Corporate Governance in China: A Survey
Jiang, F., & Kim, K. A. (2020) · Review of Finance · doi:10.1093/rof/rfaa012 · Cited by 815
Metadata
- Authors
- Cheung, Y.-L., Rau, P. R., & Stouraitis, A.
- Venue
- Review of Finance
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-10-21
- Volume
- 14
- Issue
- 4
- Pages
- 669-694
- ISSN
- 1382-6662 (ISSN-L)
- 1573-692X
- 1572-3097
- OpenAlex
- W3121644316
- Cited by
- 202
- References
- 1
- FWCI
- 21.54
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cheung, Y.-L., Rau, P. R., & Stouraitis, A. (2010). Helping Hand or Grabbing Hand? Central vs. Local Government Shareholders in Chinese Listed Firms. Review of Finance. https://doi.org/10.1093/rof/rfp024
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
