The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
Political Incentives to Suppress Negative Information: Evidence from Chinese Listed Firms
Open accessAbstract
This paper tests the proposition that politicians and their affiliated firms (i.e., firms operating in their province) temporarily suppress negative information in response to political incentives. We examine the stock price behavior of Chinese listed firms around two visible political events—meetings of the National Congress of the Chinese Communist Party and promotions of high‐level provincial politicians—that are expected to asymmetrically increase the costs of releasing bad news. The costs create an incentive for local politicians and their affiliated firms to temporarily restrict the flow of negative information about the companies. The result will be fewer stock price crashes for the affiliated firms during these event windows, followed by an increase in crashes after the event. Consistent with these predictions, we find that the affiliated firms experience a reduction (an increase) in negative stock return skewness before (after) the event. These effects are strongest in the three‐month period directly preceding the event, among firms that are more politically connected, and when the province is dominated by faction politics and cronyism. Additional tests document a significant reduction in published newspaper articles about affected firms in advance of these political events, suggestive of a link between our observed stock price behavior and temporary shifts in the listed firms’ information environment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Institutions, Institutional Change and Economic Performance
North, D. C. (1990) · doi:10.1017/cbo9780511808678 · Cited by 32,691
Institutions, Institutional Change and Economic Performance
Munger, M. C., & North, D. C. (1991) · Southern Economic Journal · doi:10.2307/1060065 · Cited by 24,871
A Survey of Corporate Governance
Shleifer, A., & Vishny, R. W. (1997) · The Journal of Finance · doi:10.1111/j.1540-6261.1997.tb04820.x · Cited by 16,243
Earnings Management During Import Relief Investigations
Jones, J. J. (1991) · Journal of Accounting Research · doi:10.2307/2491047 · Cited by 8,353
Watts, R. L., & Zimmerman, J. L. (1985) · Andalas University Repository (Andalas University) · Cited by 5,838
Earnings management and investor protection: an international comparison
Leuz, C., Nanda, D., & Wysocki, P. D. (2003) · Journal of Financial Economics · doi:10.1016/s0304-405x(03)00121-1 · Cited by 5,381
Institutions, Institutional Change and Economic Performance.
Schout, A., & North, D. C. (1991) · The Economic Journal · doi:10.2307/2234910 · Cited by 4,775
Toward a More General Theory of Regulation
Peltzman, S. (1976) · The Journal of Law and Economics · doi:10.1086/466865 · Cited by 4,729
Law, finance, and economic growth in China
ALLEN, F., QIAN, J., & QIAN, M. (2005) · Journal of Financial Economics · doi:10.1016/j.jfineco.2004.06.010 · Cited by 4,446
Faccio, M. (2006) · American Economic Review · doi:10.1257/000282806776157704 · Cited by 4,059
Cited by
Internet searching and stock price crash risk: Evidence from a quasi-natural experiment
Xu, Y., Xuan, Y., & Zheng, G. (2021) · Journal of Financial Economics · doi:10.1016/j.jfineco.2021.03.003 · Cited by 269
Metadata
- Authors
- PIOTROSKI, J. D., WONG, T. J., & ZHANG, T.
- Venue
- Journal of Accounting Research
- Publisher
- Wiley
- Published
- 2015-03-05
- Volume
- 53
- Issue
- 2
- Pages
- 405-459
- ISSN
- 0021-8456 (ISSN-L)
- 1475-679X
- OpenAlex
- W2111564082
- Cited by
- 709
- References
- 75
- FWCI
- 64.93
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Political Incentives to Suppress Negative Information: Evidence from Chinese Listed Firms. https://app.cochat.ai/papers/10.1111/1475-679x.12071
- The paper
- PIOTROSKI, J. D., WONG, T. J., & ZHANG, T. (2015). Political Incentives to Suppress Negative Information: Evidence from Chinese Listed Firms. Journal of Accounting Research. https://doi.org/10.1111/1475-679x.12071
Data sources
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.