摘要
从公司内部盈余管理选择的视角出发,选取2011—2015年我国沪深两市A股上市公司为研究样本,探讨了分析师盈余预测对企业三类盈余管理行为的影响及其相互替代关系。研究结果表明:分析师的盈余预测会显著增强包括分类转移盈余管理在内的公司整体的盈余管理水平。但在具体盈余操纵的方式上,企业会更加倾向于选择影响核心盈余的分类转移盈余管理来迎合分析师的预测结果,而同时遏制常规的应计与真实盈余管理方式,而且使用前者盈余调节的增幅要高于应计与真实两类盈余管理的下降程度之和。本研究结果可以为约束管理当局的盈余管理行为、提升会计盈余质量提供针对性的参考。
As an information medium for corporate and external investors in the capital market,securities analysts have played an increasingly important role in relieving information asymmetry and protecting the legitimate rights and interests of external investors.How corporate managers respond to analysts＇ earnings forecasts attracts much attention from scholars.From the perspective of the corporate internal earnings management,A-share listed companies in Shanghai and Shenzhen in China from 2011 to 2015 are selected as research samples,and the impact of analyst earnings forecast on the three types of earnings management and their alternative relationship is explored.The results indicate that the analysts＇ earnings forecast will significantly enhance the overall corporate earnings management,including classification transfer earnings management.However,in terms of specific earnings manipulations,companies will be more inclined to choose the classification transfer earnings management that affects the core earnings to cater to analysts＇ forecast results,while curbing regular accruals and real earnings management.Moreover,the increase in the use of the former＇s earning adjustment is higher than the sum of the decrease in accrual and real income management.The results can provide targeted reference for constraining earnings management and improving the accounting earnings quality.
作者
王松
李萍
李芳
WANG Song;LI Ping;LI Fang(College of Economics and Management,Shandong University of Science and Technology,Qingdao 266590,Chin)
出处
《山东科技大学学报（社会科学版）》
2018年第4期100-109,共10页
Journal of Shandong University of Science and Technology(Social Sciences)
基金
国家自然科学基金项目(71603151)
山东省高等学校人文社科研究项目(J16YF03)
山东科技大学科研创新团队支持计划(2015TDJH103)
关键词
盈余预测
管理层行为
盈余管理
earnings forecast
managerial behavior
earnings management
