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Cited by 312

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

A multinational test of determinants of corporate disclosure

Archambault, Jeffrey J., Archambault, Marie E.·2003·The International Journal of Accounting

Abstract

This paper develops a model of cultural, national, and corporate factors that influence the financial disclosure of corporations. This model is then tested empirically using a sample of companies from 33 countries. The paper extends the literature on disclosure by considering a larger number of variables that represent determinants of disclosure and by empirically testing the model using a larger number of countries than prior studies. The model is tested using disclosure scores included in International Accounting and Auditing Trends. The model considers the influence of culture, national political and economic systems, and corporate financial and operating systems on the amount of corporate financial disclosure. The results of the regression model indicate that disclosure is influenced by culture, national systems, and corporate systems. The model developed is shown to provide a reasonably good explanation of the disclosure decision. Differences among the components of the model help explain differences in observed financial disclosure between companies in different countries and between companies within the same country. The results indicate that the financial-disclosure decision for a company is complex and influenced by many national and corporate factors.

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Crossref · 10.1016/s0020-7063(03)00021-9

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Metadata

Authors
Archambault, J. J., & Archambault, M. E.
Venue
The International Journal of Accounting
Published
2003-06
Volume
38
Issue
2
Pages
173-194
ISSN
0020-7063 (ISSN-L)
OpenAlex
W2006079903
Cited by
312
References
2
FWCI
11.19
Type
journal article
Language
en
Open access
closed

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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.