This study was aims to examine the significant elements of the audit and board committee in predicting earnings management (EM) for the period of 2010–2021. The study population comprised total number of 775 listed firms on Bursa Malaysia's main market. The annual audited financial statements and reports of the listed firms, firm's websites, Bloomberg and the Bursa Malaysia website were used as method of data collection. The analytical method used in the current study was descriptive statistic and GLS methods of panel regression. The findings of this study suggested that firms with effective CG mechanisms such as, audit committee size (AUDSIZ), audit committee financial expertise (AUDFEXPT), remuneration and nomination committee (R&NC), supervisory board size (SBS), mitigates accrual, and REM. However, the findings also indicated that gender composition (CGEND) were found to be ineffective in predicting EM.
This paper aims to analyse the mitigating effects of ownership structure on earnings management (EM) practices. Data were collected from firms listed on Bursa Malaysia’s main market, covering the years 2011 through 2021. Panel Regression was employed to analyses the data, with the aid of STATA software version 17. The finding of this study confirmed significant negative association between foreign ownership (FOW) and EM of listed firms in Malaysia. Additionally, managerial ownership (MOW) and ownership concentration (OC) were found to be insignificantly related to EM. Similarly, the two control variables included in the analysis, only firm size (FISZ) was found to be significantly related to EM practices. Practically, this study offers an effective framework for OC, MOW, FOW and EM to reduce executive manager's opportunistic behaviour. The findings from this study supports the need for broader understanding so that investors and other stakeholders can see through earnings reports and, as a result, make informed contractual decisions, particularly when those decisions pertain to non-owner-controlled firms. In addition, the study’s findings provide helpful information to stakeholders in Malaysian listed companies on the value of FOW and it influence on EM mitigation.
The cosmetics and toiletry industry has growing up very fast. In 2016, the total global revenue cosmetics industry amounted to USD$444 billion. According to Lee, Goh, & Noor ( 2019), the skincare products dominated the cosmetics and toiletry market with a market value of approximately USD$ 120 billion. Between 2012 and 2019, the global skincare market expanded by 41.8 percent, and by 2025, it is expected to be worth $189 billion (Ledesma, 2020). The skin is the largest organ in the body, hence, many people will find ways to protect it, one of the way people are using to protect the skin is to apply any supplement on skin to keep the good condition of the skin. However, according to Cunningham (2014), the used of chemical items in the cosmetic skin care industry is extremely unregulated. For example, Parabens that cause breast cancer are found in cosmetics. The chemical used in the skin care products had rise the attention of the users to start to pay attention on the ingredient of the skin care products. One of the way people are using in order to avoid the harmful chemical in skin care products is to to choose skin care with natural ingredient (Espitia, 2020), this happend especially among the younger consumers (Boon et al., 2020; Hsu et al.,2017). The green skincare industry is growing rapidly. Green skin care, according to previous studies (Fauzi & Hashim, 2015; Hsu et al., 2017), is any skin care products which can preserve or enhance the natural environment by conserving energy or resources and decreasing or eliminating the usage of harmful agents, pollution, and waste. Studies showed there is an increasing in the consumption of green skincare products and toiletries by 45%, from a peak of RM 1.6 billion (in 1998) to RM 2.2 billion (in 2010), with sales estimated to exceed $1.1 billion in 2010 among young people (Boon et al., 2020). Keywords: Green Skin Care, Generation Z, Theory Of Planned Behaviour
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