238
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Does Network Embeddedness Deter Corporate Fraud? Evidence from China

&
Pages 2906-2927 | Published online: 27 Apr 2023
 

ABSTRACT

This study examines the impact of social networks on corporate fraud. We contend that firms’ network embeddedness increases the expected cost of fraud, which in turn reduces the likelihood of committing fraud. Using data on the network of Chinese listed firms between 2007 and 2019, we find evidence that firms with a higher degree of network embeddedness are less likely to engage in fraudulent activities, suggesting the governance role of social networks. Further analyses reveal that this negative relationship is stronger when the firm faces more intense market competition, has more interactions with partners, or receives more media coverage. Our findings are robust to instrument variable regression, controlling for firm-fixed effects, alternative measures of network embeddedness, and addressing the partial observation problem. This study provides novel insights into the determinants of corporate fraud from a network perspective.

JEL:

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [No. 71972178].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 445.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.