基于修正Jones模型的中国电力公司盈余管理方法分析

Zhibin Liu, Nian Xie, Xiaoning Li
{"title":"基于修正Jones模型的中国电力公司盈余管理方法分析","authors":"Zhibin Liu, Nian Xie, Xiaoning Li","doi":"10.18311/IJPRVD/2021/28067","DOIUrl":null,"url":null,"abstract":"With the constant revision of accounting standards, the earnings management methods are constantly changed and innovated in order to achieve the purpose of beautifying the statements and manipulating profits. This paper took the electricity listed companies as the research object, selected the financial data of 52 listed companies in the Shanghai Stock Exchange and the Shenzhen Stock Exchange from 2014 to 2016 as the sample, and employed the SPSS statistics software to analyze the earnings management methods of the listed companies in the electric power industry and to draw the conclusions through empirical research. Based on the preliminary statistical analysis of the earnings management methods of listed companies in the electric power industry, this paper used the modified Jones model to verify the empirical analysis. The main conclusions of this paper are as follows: There is a positive linear relationship between fixed assets management, assets impairment management and discretional accruals of the listed companies in the electric power industry. The degree of its influence is more obvious and stable than that of other earnings management methods, and passed the significance test. The collinear diagnostics can also prove a more reasonable correlation among the variables, indicating that the results obtained from the modified Jones model is more significant.","PeriodicalId":226140,"journal":{"name":"Indian Journal of Power and River Valley Development","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis of the earnings management methods of China’s electric power companies based on modified Jones model\",\"authors\":\"Zhibin Liu, Nian Xie, Xiaoning Li\",\"doi\":\"10.18311/IJPRVD/2021/28067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the constant revision of accounting standards, the earnings management methods are constantly changed and innovated in order to achieve the purpose of beautifying the statements and manipulating profits. This paper took the electricity listed companies as the research object, selected the financial data of 52 listed companies in the Shanghai Stock Exchange and the Shenzhen Stock Exchange from 2014 to 2016 as the sample, and employed the SPSS statistics software to analyze the earnings management methods of the listed companies in the electric power industry and to draw the conclusions through empirical research. Based on the preliminary statistical analysis of the earnings management methods of listed companies in the electric power industry, this paper used the modified Jones model to verify the empirical analysis. The main conclusions of this paper are as follows: There is a positive linear relationship between fixed assets management, assets impairment management and discretional accruals of the listed companies in the electric power industry. The degree of its influence is more obvious and stable than that of other earnings management methods, and passed the significance test. The collinear diagnostics can also prove a more reasonable correlation among the variables, indicating that the results obtained from the modified Jones model is more significant.\",\"PeriodicalId\":226140,\"journal\":{\"name\":\"Indian Journal of Power and River Valley Development\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal of Power and River Valley Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18311/IJPRVD/2021/28067\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Power and River Valley Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18311/IJPRVD/2021/28067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

随着会计准则的不断修订,盈余管理方法也在不断变化和创新,以达到美化报表和操纵利润的目的。本文以电力上市公司为研究对象,选取2014 - 2016年沪深两市52家上市公司的财务数据作为样本,运用SPSS统计软件对电力行业上市公司的盈余管理方法进行分析,并通过实证研究得出结论。本文在对电力行业上市公司盈余管理方法进行初步统计分析的基础上,运用修正的Jones模型对实证分析进行验证。本文的主要结论如下:电力行业上市公司的固定资产管理、资产减值管理与任意应计利润之间存在正线性关系。其影响程度比其他盈余管理方法更为明显和稳定,并通过了显著性检验。共线诊断也可以证明变量之间的相关性更合理,表明修正的Jones模型得到的结果更显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the earnings management methods of China’s electric power companies based on modified Jones model
With the constant revision of accounting standards, the earnings management methods are constantly changed and innovated in order to achieve the purpose of beautifying the statements and manipulating profits. This paper took the electricity listed companies as the research object, selected the financial data of 52 listed companies in the Shanghai Stock Exchange and the Shenzhen Stock Exchange from 2014 to 2016 as the sample, and employed the SPSS statistics software to analyze the earnings management methods of the listed companies in the electric power industry and to draw the conclusions through empirical research. Based on the preliminary statistical analysis of the earnings management methods of listed companies in the electric power industry, this paper used the modified Jones model to verify the empirical analysis. The main conclusions of this paper are as follows: There is a positive linear relationship between fixed assets management, assets impairment management and discretional accruals of the listed companies in the electric power industry. The degree of its influence is more obvious and stable than that of other earnings management methods, and passed the significance test. The collinear diagnostics can also prove a more reasonable correlation among the variables, indicating that the results obtained from the modified Jones model is more significant.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信