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학술논문관광레저연구2021.02 발행

여가관련 서비스업 기업의 이익조정에 대한 실증연구

The Study on Earnings Management of Leisure-related Service Companies

김학준(경희사이버대학교); 김성태(동의대학교)

33권 2호, 369~383쪽

초록

In this study, a multivariate logistic regression analysis was used to analyze earnings management behavior of Korean leisure-related service companies. In particular, the analysis focused on earnings management for the purpose of loss aversion of leisure-related companies. As a result of the analysis, it was found that firms with more earnings managements that increase discretionary accruals are more likely to report net losses after several years. These companies showed low profitability, low asset efficiency, and poor financial stability. It was also found that the sales growth rate of such companies is low or even the sales growth rate is negative. In addition, when companies perform earnings managements that increase their discretionary accruals, the tendency to increase the likelihood of net loss after several years is more pronounced in leisure-related service companies.

Abstract

In this study, a multivariate logistic regression analysis was used to analyze earnings management behavior of Korean leisure-related service companies. In particular, the analysis focused on earnings management for the purpose of loss aversion of leisure-related companies. As a result of the analysis, it was found that firms with more earnings managements that increase discretionary accruals are more likely to report net losses after several years. These companies showed low profitability, low asset efficiency, and poor financial stability. It was also found that the sales growth rate of such companies is low or even the sales growth rate is negative. In addition, when companies perform earnings managements that increase their discretionary accruals, the tendency to increase the likelihood of net loss after several years is more pronounced in leisure-related service companies.

발행기관:
(사)한국관광레저학회
분류:
관광학

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여가관련 서비스업 기업의 이익조정에 대한 실증연구 | 관광레저연구 2021 | AskLaw | 애스크로 AI