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上市公司特征对会计信息披露质量的影响研究

A Research on the Influence of Listed Company Characteristics on the Quality of Accounting Information Disclosure
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摘要 上市公司特征主要包括董事会和监事会结构、公司规模、股权集中度、盈利能力、成长能力、资本结构、偿债能力、现金流量获取能力等。以深圳证券交易所公布的信息披露考评结果来衡量信息披露质量的高低,选用Logistic回归分析,来研究上市公司特征对会计信息披露质量的影响。实证分析发现,公司规模、盈利能力和现金流量获取能力与会计信息披露质量正相关;成长能力与会计信息披露质量负相关;而董事会和监事会结构、股权集中度、资本结构和偿债能力与会计信息披露质量没有显著相关关系。对研究结论做出进一步解释,并提出相应建议。 Measuring the quality of information disclosure by the information disclosure evaluation results issued by Shenzhen Stock Exchange,the paper studied mainly the characteristics of listed companies,which may affect the quality of the accounting information disclosure,including the survey index of the structure of board of directors and board of supervisors,the company scale,the equity concentration,the profitability,the growth ability,the capital composition,the solvency,the ability to acquire cash flow and so on.Logistic regression analysis is used to study the influence of listed company characteristics on the quality of accounting information disclosure.The empirical analysis finds that the company scale,the profitability and the cash flow acquisition ability are positively correlated with the quality of accounting information disclosure,while the growth ability is negatively correlated with the quality of accounting information disclosure.Besides there is no significant correlation of such indexes as the structure of the board of directors and the board of supervisors,the concentration degree of equity,the capital structure and the solvency,with that of the quality of accounting information disclosure.Finally,the paper discusses the findings of the research and puts forward corresponding suggestions.
作者 吴娟娟 邹能锋 WU Juan-juan;ZOU Neng-feng(College of Economics and Management,Anhui Agricultural University,Hefei 230036,China)
出处 《西安建筑科技大学学报(社会科学版)》 2018年第2期42-48,共7页 Journal of Xi'an University of Architecture & Technology(Social Science Edition)
关键词 上市公司特征 会计信息披露质量 LOGISTIC回归分析 listed company characteristics quality of accounting information disclosure Logistic regression analysis
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