GCG, CORPORATE CHARACTERISTICS, AND FINANCIAL DISTRESS AS A DETERMINANT OF EXTENSIVE VOLUNTARY DISCLOSURES

The existence of a conflict of interest between the principal and theagent causes information asymmetry. This information asymmetry canbe minimized by voluntary disclosure in the annual report. GCGfactors, company characteristics, and financial distress are predicted toinfluence the extensive voluntary disclosure. This study aims to examinethe effect of ownership dispersion, financial distress, the board size,CEO duality and age of listings on the extensive voluntary disclosure.Data population are basic and chemical industry companies listed onIDX for the 2015-2018. A purposive sampling was used as method andobtained 160 samples. This study used secondary data from annualreports. Data were analyzed by using the Multiple Linear RegressionAnalysis method. This study found that Ownership Dispersion and Sizeof the Board of Commissioners have a significant positive effect onExtensive Voluntary Disclosure. Whereas Financial Distress, CEODuality, and Age of Listing have no significant effect on ExtensiveVoluntary Disclosure

GCG, Corporate Characteristics, Financial Distress As A Determinant Of Extensive Voluntary Disclosures

The existence of a conflict of interest between the principal and the agent causes information asymmetry. Information asymmetry is the imbalance of information held between the principal and the agent. This information asymmetry can be minimized by the disclosure of additional information in the annual report, namely by voluntary disclosure. GCG factors, company characteristics, and financial distress are predicted to influence the extensive voluntary disclosure. This study aims to examine the effect of ownership dispersion, financial distress, the board size, CEO duality and age of listings on the extensivevoluntary disclosure. Data population are basic and chemical industry companies listed on the Indonesia Stock Exchange for the 2015-2018. A purposive sampling was used as method and obtained 160 samples. This study used secondary data from annual reports. Data were analyzed by using the Multiple Linear Regression Analysis method. This study found that Ownership Dispersion and Size of the Board of Commissioners have a significant positive effect on Extensive Voluntary Disclosure. Whereas Financial Distress, CEO Duality, and Age of Listing have no significant effect on Extensive Voluntary Disclosure