2013
DOI: 10.1093/icc/dtt007
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Corporate governance, value and performance of firms: new empirical results on convergence from a large international database

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Cited by 44 publications
(33 citation statements)
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References 49 publications
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“…Previous studies have found that liquidity, profitability, firm's performance, and dividend payment have a positive relationship with the effect of code of corporate governance practice (Al-Najjar & Belghitar, 2014;Joh, 2003;Krafft et al, 2014;Prommin et al, 2014). On the other hand, leverage has a negative relationship with the effect of code of corporate governance practice (Arping & Sautner, 2010).…”
Section: Discussionmentioning
confidence: 94%
“…Previous studies have found that liquidity, profitability, firm's performance, and dividend payment have a positive relationship with the effect of code of corporate governance practice (Al-Najjar & Belghitar, 2014;Joh, 2003;Krafft et al, 2014;Prommin et al, 2014). On the other hand, leverage has a negative relationship with the effect of code of corporate governance practice (Arping & Sautner, 2010).…”
Section: Discussionmentioning
confidence: 94%
“…First, the two‐stage least squares (2SLS) estimator involving instrumental variables has been adopted to alleviate possible endogeneity bias between CFP and firm‐level green practice index (Stone & Rose, ). In this context, we rely on the set of instruments contained within a panel to instrument the GPI variable due to the absence of good external instrumental variables (Krafft, Qu, Quatraro, & Ravix, ; Miroshnychenko, Bozzi, & Barontini, ). Specifically, the third‐ and fourth‐year lagged values of GPI are used as instruments in all the models.…”
Section: Resultsmentioning
confidence: 99%
“…First, the two-stage least squares (2SLS) estimator involving instrumental variables has been adopted to alleviate possible endogeneity bias between CFP and firm-level green practice index (Stone & Rose, 2011). In this context, we rely on the set of instruments contained within a panel to instrument the GPI variable due to the absence of good external instrumental variables (Krafft, Qu, Quatraro, & Ravix, 2014;Miroshnychenko, Bozzi, & Barontini, 2018 This table presents the coefficients and t-statistics (in parentheses) using the 2SLS regressions with HAC standard errors. Q it is the ratio between (book value of total assets − book value of shareholder's equity + market value of shareholder's equity) and (book value of total assets).…”
Section: Resultsmentioning
confidence: 99%
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“…Therefore, our explanatory model was estimated using the instrumental variable (IV) estimator, namely 2SLS regressions, to alleviate the endogeneity problem that may influence estimates (Rose and Stone, ). Due to the absence of good external instruments, we adopted the second‐ and third‐year lagged values of all endogenous variables ( Size ic,t‐2 , Size ic,t‐3 , R&D ic,t‐2 , R&D ic,t‐3 , Lev ic,t ‐2 , Lev ic,t ‐3 , Cash ic,t‐2 and Cash ic,t‐ 3 ) following a common practice in the literature (Krafft et al ., ). As in Petersen (), robust standard errors clustered at the firm level were used to simultaneously relax both the assumption of homoscedasticity (constant variance for all observations) and the assumption of no autocorrelation (independence of observations) in our panel dataset.…”
Section: Methodsmentioning
confidence: 97%