2021
DOI: 10.1016/j.ememar.2021.100801
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Corporate social responsibility, investor protection, and the cost of equity: Evidence from East Asia

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Cited by 38 publications
(15 citation statements)
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References 75 publications
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“…The initial screening shows a positive and significant relationship between CSRD and the cost of financing (both COD and COE), which suggests an increase in CSRD leads to an increase in the cost of financing. The result is consistent with the findings of prior studies (Gonçalves et al, 2022; Ng & Rezaee, 2015; Wang et al, 2021). Further, the coefficient of correlation between all explanatory variables stands below 0.5.…”
Section: Analysis and Discussionsupporting
confidence: 93%
“…The initial screening shows a positive and significant relationship between CSRD and the cost of financing (both COD and COE), which suggests an increase in CSRD leads to an increase in the cost of financing. The result is consistent with the findings of prior studies (Gonçalves et al, 2022; Ng & Rezaee, 2015; Wang et al, 2021). Further, the coefficient of correlation between all explanatory variables stands below 0.5.…”
Section: Analysis and Discussionsupporting
confidence: 93%
“…A country's institutional environment has a tremendous and multifaceted impact on the corporate landscape. Numerous studies have demonstrated how factors such as a country's level of investor protection and regulatory enforcement framework act as moderators, influencing the interplay among various aspects of the business environment (Francis and Wang, 2008;Martínez-Ferrero et al, 2015;El Ghoul et al, 2016;Li et al, 2017;García-S anchez et al, 2018;Alam et al, 2020;Yuan and Zhang, 2020;Wang et al, 2021;Jin et al, 2022).…”
Section: Moderating Influence Of Country-level Investor Protection An...mentioning
confidence: 99%
“…To address this concern, we employ a Heckman-type treatment effects model (Heckman, 1979) by adopting a Probit model to estimate the likelihood of firms issuing voluntary MEFs in the first stage, and then adding the estimated likelihood (LAMBDA_VOLMEF) to the second-stage regression model to account for factors that may influence the disclosure decision. Specifically, in the first-stage Probit model, we include the firm-level control variables used in our main analysis, together with two instrumental variables, IND_VOLMEF% and YEAR_VOLMEF%, in the same spirit of Cheng et al (2014) and Wang et al (2021). IND_VOLMEF% is the percentage of firms in the industry (excluding the firm itself) that have issued voluntary management earnings forecasts, and YEAR_VOLMEF% is the percentage of firms in a given year (excluding the firm itself) that issue voluntary management earnings forecasts.…”
Section: Treatment Effect Modelmentioning
confidence: 99%
“…(2014) and Wang et al . (2021) . IND_VOLMEF % is the percentage of firms in the industry (excluding the firm itself) that have issued voluntary management earnings forecasts, and YEAR_VOLMEF% is the percentage of firms in a given year (excluding the firm itself) that issue voluntary management earnings forecasts 20 .…”
Section: Robustness Testsmentioning
confidence: 99%