2014
DOI: 10.1108/aaaj-06-2014-1744
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Accrual-based earnings management in state owned companies

Abstract: Purpose -Opposition to transnational calls for the adoption of accrual-based accounting in the public sector may stem from arguments that it is associated with poor earnings quality. The purpose of this paper is to determine whether state owned enterprises (SOEs) operating under accrual-based accounting manage their earnings, whether it is more prevalent vis-a`-vis privately owned enterprises (POEs) and the conditions under which it is more likely to occur. Design/methodology/approach -This paper measures earn… Show more

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Cited by 49 publications
(41 citation statements)
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References 47 publications
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“…As a result, our third research hypothesis is confirmed. However, our findings contrasts with those of Capalbo et al (2014). They found that, in Italy, state-owned companies manage earnings less frequently than privately-owned companies.…”
Section: Findings and Discussioncontrasting
confidence: 99%
See 1 more Smart Citation
“…As a result, our third research hypothesis is confirmed. However, our findings contrasts with those of Capalbo et al (2014). They found that, in Italy, state-owned companies manage earnings less frequently than privately-owned companies.…”
Section: Findings and Discussioncontrasting
confidence: 99%
“…Conversely, Aharony et al (2000), Chen and Yuan (2004) and Liu and Lu (2007) have found that state-owned companies manage earnings more than privately-owned ones do. Recently, Capalbo, Frino, Mollica, and Palumbo (2014) have investigated Italian private companies, finding that state-owned companies manage earnings less than privately-owned ones do. Thus, all previous studies have shown that state ownership and earnings management practices are associated, but the sign of this association is divergent.…”
Section: State Ownership and Earnings Managementmentioning
confidence: 99%
“…Our data show that, if a researcher wishes to investigate the Italian capital market, which is the smallest in our study but one of the largest in the EU, they will estimate AAs for only 43% of the potentially available observations using the 2SICy approach. In response, either an industry classification wider than the two-digit SIC code is used to estimate the accruals models cross-sectionally (e.g., Athanasakou et al, 2009;Gore et al, 2007;Lapointe-Antunes, Cormier, Magnan, & Gay-Angers, 2006;Lehmann, 2016;Sáenz González & García-meca, 2014;Saleh & Ahmed, 2005;Simpson, 2013;Van Tendeloo & Vanstraelen, 2008) or alternative techniques are employed to identify AAs (e.g., Capalbo, Frino, Mollica, & Palumbo, 2014;DeFond & Park, 2001;Francis & Wang, 2008;Ittonen, Johnstone, & Myllymäki, 2015;Jansen, Ramnath, & Yohn, 2012;Zerni, Haapamäki, Järvinen, & Niemi, 2012).…”
Section: Industry-based Estimation Approaches Versus the MIX Approachmentioning
confidence: 99%
“…Previous studies have focused on specific types of owners, such as institutional investors (Almazan et al, 2005;Bange and De Bondt, 1998;Bushee, 1998;Chung et al, 2002;Claessens and Fan, 2002;Cornett et al, 2008;Duggal and Millar, 1999;Ebrahim, 2007;Koh, 2003;Porter, 1992;Pound, 1988;Sundaramurthy et al, 2005), public authorities (Aharony et al, 2000;Capalbo et al, 2014;Chen and Yuan, 2004; E-mail: s.poli@univ pm.it. Tel: +39 0712207258.…”
Section: Introductionmentioning
confidence: 99%