环境会计信息披露对商业信用的影响:基于OLS回归模型的分析

Xingrong Liu, Shixuan Wang, Qian Xin, Juntao Ma
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引用次数: 0

摘要

在本研究中,除了a股重污染行业上市公司2010 - 2014年的数据外,我们还手工收集了上市公司环境会计信息披露的数据作为研究样本。基于信号传递理论,运用OLS回归模型探讨了信息不对称市场中上市公司环境会计信息披露与商业信用水平的关系以及市场环境的调节效应。通过实证分析,我们发现环境会计信息披露与否与企业商业信用水平显著相关。此外,环境会计信息披露质量与上市公司商业信用水平显著正相关,且在良好的市场环境下,这种相关性会显著增强。我们的研究结果一方面可以丰富环境会计和商业信用的相关研究,另一方面可以为相关部门制定环境会计信息披露准则、监管法规提供政策建议,引导企业保护环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Environmental Accounting Information Disclosure on Commercial Credit: Based on the Analysis of OLS Regression Model
—In this study, beyond the data of A-share listed companies in heavy pollution industries from 2010 to 2014, we hand collected the data of environmental accounting information disclosure of listed firms as the research sample. Based on the signal transmission theory, we use the OLS regression model to explore the relationship between the environmental accounting information disclosure and the commercial credit level of listed firms in the market with information asymmetry and the moderating effect of the market environment. Through empirical analysis, we find that disclosing environmental accounting information or not is significantly correlated with the commercial credit level of firms. Furthermore, environmental accounting information disclosure quality is significantly and positively correlated with the commercial credit level of listed firms and the correlation will be significantly stronger in a better market environment. Our findings can on the one hand enrich studies related to environment accounting and commercial credit, and on the other hand, provide policy recommendations for relevant departments to formulate environmental accounting information disclosure standards, regulatory regulations, and guide enterprises to protect the environment.
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