2019
DOI: 10.1016/j.pacfin.2019.101201
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Multiple large shareholders and dividends: Evidence from China

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Cited by 51 publications
(34 citation statements)
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“…To save space, all the robustness checks are not shown. First, we estimate Equation (1) using the Tobit regression estimator following the study of Francis et al (2011), Al-Malkawi et al (2014, Jiang et al (2019), andDriver et al (2020), which consider that dividend payout are left-censored at zero. We find the results unchanged.…”
Section: Robustness Checksmentioning
confidence: 99%
“…To save space, all the robustness checks are not shown. First, we estimate Equation (1) using the Tobit regression estimator following the study of Francis et al (2011), Al-Malkawi et al (2014, Jiang et al (2019), andDriver et al (2020), which consider that dividend payout are left-censored at zero. We find the results unchanged.…”
Section: Robustness Checksmentioning
confidence: 99%
“…Although there has been a debate on the merits of major shareholders, empirical evidence on the link between corporate governance and firm performance almost exclusively refers to European countries (Italy: Volpin, 2002; Rossi et al , 2018; Spain: Gutiérrez et al , 2012; Finland: Maury and Pajuste, 2005; France: Boubaker, 2007). In recent years, the impact of multiple large shareholders in the Asian context (especially in China) has received significant scholarly attention (Ouyang et al , 2019; Jiang et al , 2019; Cao et al , 2019). Contrastingly, there has been little research focusing on multiple large shareholders in developing countries, especially in the Middle East and North Africa (MENA).…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, as the choice of ownership structure may not be random [57], our study may encounter the endogenous problems of sample self-selection. Hence, we followed the previous literature [58,59] and used the difference-in-differences model (DID) to address potential reverse causal endogeneity concerns, using Heckman two-stage regression mitigate sample selection bias endogeneity concerns. We discuss these analyses in detail below.…”
Section: Endogeneitymentioning
confidence: 99%
“…To better establish the causal relationship between ESOPs and CSR and mitigate the biased estimation caused by missing variables that simultaneously influence firms with and without ESOPs, we followed previous studies [57,58] and employed the staggered DID method to estimate the difference in CSR before and after the ESOPs were initiated. Based on the exogenous event that led the CSRC to initiate the ESOPs, we examined the difference in CSR between the experimental group and the control group before and after the adoption of ESOPs.…”
Section: Difference-in-differences Modelmentioning
confidence: 99%