Corporate governance mechanisms and disclosure quality: Evidence from UK top 100 public companies

S. Alagla
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引用次数: 6

Abstract

This research is aimed to explore the determinants of corporate governance disclosures with emphasis on board structure and external audit. Theoretical and empirical literature shows conflicting evidence on how aspects of corporate governance are related to disclosures. This study carried out an extensive synthesis of the existing literature, taking into account the aims of analysis and the underlying situation of past studies, to come up with tentative answers to the research questions before the analysis. The paper adopts a balanced analysis in which disclosures are assumed to be as a result of both board and non-board factors but still within the corporate governance realm. In order to achieve the overall aim, the study sample was drawn from the existing list of UK’s Top 100 FTSE non-regulated firms. A combination of quantitative statistical and business analytics methods was used to carry out the analysis. Using the Corporate Governance Disclosure Quality (CGDQ) index as the dependent variable and selected board and non-board factors as independent variables, pooled OLS regressions were run. The diagnostic tests were carried out to establish the relative contribution of each independent variable to the model. It was established that the age of board members, the proportion of female directors, the frequency of audit committee meetings, external audit expense, firm growth opportunities, and firm size were important determinants of CGDQ. It was suggested that future studies should investigate whether board structure is still an important determinant of corporate disclosures in the age of advanced information technology.
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公司治理机制与信息披露质量:来自英国百强上市公司的证据
本研究以董事会结构和外部审计为重点,探讨公司治理披露的决定因素。理论和实证文献在公司治理各方面如何与信息披露相关方面显示出相互矛盾的证据。本研究对现有文献进行了广泛的综合,考虑到分析的目的和过去研究的基本情况,对分析前的研究问题进行了尝试性的解答。本文采用了一种平衡的分析方法,假设披露是董事会和非董事会因素共同作用的结果,但仍在公司治理范围内。为了实现总体目标,研究样本取自英国富时100强非监管公司的现有名单。采用定量统计和商业分析相结合的方法进行分析。以公司治理披露质量(CGDQ)指数为因变量,选取董事会和非董事会因素为自变量,进行集合OLS回归。进行诊断测试以确定每个自变量对模型的相对贡献。结果表明,董事会成员年龄、女性董事比例、审计委员会会议频率、外部审计费用、企业成长机会和企业规模是CGDQ的重要决定因素。建议未来的研究应探讨在信息技术发达的时代,董事会结构是否仍然是公司信息披露的重要决定因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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