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Cited by 394

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

The impact of corporate attribites on the extent of mandatory disclosure and reporting by listed companies in Zimbabwe

Owusu-Ansah, Stephen·1998·The International Journal of Accounting

Abstract

This article reports the results of an empirical investigation of the degree of influence of eight corporate attributes on the extent of mandatory disclosure and reporting of 49 listed companies in Zimbabwe. Using a disclosure index which consisted of 214 mandated information items, the extent of mandatory disclosure be each sample company was quantified, and was used with other data specific to each sample company to test the relational hypotheses. Although several alternative specifications of multivariate regression models were developed and estimated, only the results of a robust regression analysis which indicated that company size, ownership structure, company age, multinational corporation affiliation, and profitability have statiscally significant positive effect on mandatory disclosure and reporting practices of the sample companies were reported. The quality of external audit, industry-type and liquidity were statistically insignificant.

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Metadata

Authors
Owusu-Ansah, S.
Venue
The International Journal of Accounting
Published
1998-01
Volume
33
Issue
5
Pages
605-631
ISSN
0020-7063 (ISSN-L)
OpenAlex
W2078525030
Cited by
394
References
3
FWCI
1.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The impact of corporate attribites on the extent of mandatory disclosure and reporting by listed companies in Zimbabwe. https://app.cochat.ai/papers/10.1016/s0020-7063(98)90015-2
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Owusu-Ansah, S. (1998). The impact of corporate attribites on the extent of mandatory disclosure and reporting by listed companies in Zimbabwe. The International Journal of Accounting. https://doi.org/10.1016/s0020-7063(98)90015-2

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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.