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Why do investors not punish politically connected firms for financial misrepresentation? A legitimacy-based perspective

Xin Yu (School of Business, University of Queensland, Brisbane, Australia)
Ying Zheng (School of Business, Sun Yat-sen University, Guanzhou, China)

Accounting Research Journal

ISSN: 1030-9616

Article publication date: 24 January 2020

Issue publication date: 24 January 2020

310

Abstract

Purpose

The purpose of this paper is to examine whether the political connections of listed firms in China affect how the market reacts to cases of financial misrepresentation investigated by the regulatory authorities.

Design/methodology/approach

The authors use an event study method and the financial misrepresentation events in China stock markets as research setting and empirically test the association between market reactions to the announcement of financial misrepresentations and the presence of political connections.

Findings

The results show that on average, there is no significant market reaction to financial misrepresentation for politically connected firms. In contrast, however, there is a significantly negative market reaction for non-connected firms, which suggests that investors do not punish politically connected firms for financial misrepresentation. The authors argue that politically connected companies use the altered financial information to gain legitimacy and obtain benefits from the government. Consistent with the argument, the authors find that in the years after they disclose their financial misrepresentation, firms with political connections are more likely to increase their bank loans than firms without political connections.

Originality/value

The authors provide a new explanation for the low-earnings quality of politically connected firms.

Keywords

Citation

Yu, X. and Zheng, Y. (2018), "Why do investors not punish politically connected firms for financial misrepresentation? A legitimacy-based perspective", Accounting Research Journal, Vol. 33 No. 1, pp. 92-107. https://doi.org/10.1108/ARJ-11-2017-0190

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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