Network Data Mining Application in Earnings Management of Private Holding Enterprise: An Empirical Analysis Based on Multiple Regression Model

Hong-Tao Liu
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Abstract

Efficient processing platform can effectively analyze massive data, strong support for data mining algorithms and data visualization. In this paper, the authors use the new path of integration earnings management way and earnings management direction to study the relationship between China’s listed companies’ ownership structure and earnings management. The results found that: private holding company's earnings quality the pressure is far greater than the state-owned holding company; negative earnings management private holding company level was significantly lower than the state-owned holding company; U-shaped relationship between ownership concentration and earnings management, moderate concentration of ownership in favor of reducing the level of earnings management. Accordingly, aspects of equity nature, are intended to promote the development direction of mixed ownership in line with our national interests; the controlling stake in moderate levels of concentration of ownership structure another sign of deepening reform success.
网络数据挖掘在民营控股企业盈余管理中的应用:基于多元回归模型的实证分析
高效的处理平台可有效分析海量数据,有力支持数据挖掘算法和数据可视化。本文采用整合盈余管理方式和盈余管理方向的新路径,研究中国上市公司股权结构与盈余管理的关系。结果发现:民营控股公司的盈余质量压力远远大于国有控股公司;民营控股公司负盈余管理水平显著低于国有控股公司;股权集中度与盈余管理呈u型关系,适度的股权集中度有利于降低盈余管理水平。据此,在股权性质方面,意在推动符合我国国家利益的混合所有制发展方向;控股股权适度集中是股权结构深化改革取得成功的又一标志。
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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