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Information Disclosure Violation of Small and Medium-Sized Listed Companies Based on Strauss’ Grounded Theory

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1233))

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Abstract

In the security market of our country, the event of the illegal disclosure of accounting information happens from time to time. These illegal disclosures not only hurt the interests of investors, make investors lose confidence in the securities market, and are not conducive to building a good image of listed companies in our country. It is a serious obstacle to the healthy and sustainable developed China’s stock market. How to ensure the standardization of accounting information announce of public companies and resolve the quantity problems of accounting information announce will be of great significance to important stakeholders. This article carries on the statistical analysis to the administrative punishment decision written by the China Securities Regulatory Commission from 2018 to September 2019, selects certain sample, carries on the classified statistical analysis to the information illegal disclosure behavior of the small and medium-sized board public company, based on analysis of data obtained from the investigation and puts forward corresponding governance policies, which is conducive to perfecting the information disclosure system in our country. To ensure that small and medium-sized public companies disclose accurate and complete information, curb the frequent occurrence of related irregularities [1,2,3].

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Acknowledgements

This work was supported by 20172s0054 and 195203003.

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Correspondence to Ronghui Xu .

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Xu, R. (2021). Information Disclosure Violation of Small and Medium-Sized Listed Companies Based on Strauss’ Grounded Theory. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_8

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