This study aims to analyze the effect of sustainability information disclosure on financial and market performance. Using purposive sampling, this study obtains 21 mining sector companies in Indonesia and 18 companies in Malaysia. Regression analysis with WarpPLS is used to test the proposed hypotheses. The results show that environmental and social disclosure has a significant effect on return on assets, return on equity, price-earnings ratio, and Tobin'Q in Indonesia and Malaysia. Overall, there is no significant difference in financial and market performance between Indonesia and Malaysia. Good sustainability information disclosure further improves financial performance and trust among stakeholders and regulators in decision making, which in turn, increases corporate value.

Business activities have contributed to the increasing level of carbon emissions, which can endanger the environment. Such phenomena have pushed companies to disclose a variety of carbon emission information to show their responsibilities. Thus, this study aims to investigate the influence of audit characteristics (independence, expertise, meetings) on carbon emission disclosure. Data were collected from the Nordic companies, which were registered in the 2015 Carbon Disclosure Project. A total of 105 companies were used as samples for further analysis. A regression model was then employed to analyse the data. The findings showed that all characteristics of audit committees (independent audit committee, audit committee expertise and audit committee meetings) positively affected carbon emission disclosure. This study implies that companies that are interested in disclosing carbon emission information should create more independent members of audit committees whose expertise or experiences are in accounting/finance/risk. The audit committee members should be also actively involved in regular meetings to monitor and evaluate company’s policy on carbon emission disclosure.

The purpose of this study is to examine the risk factors that influencing financial statement fraud. Especially, it examines the influence of rationalization, pressure, and opportunity on the fraudulent financial statements and also examines the interaction effect of industry risk and company size on the relationship between rationalization, pressure, and opportunity on financial statement fraud. Secondary data were collected from Bloemberg Data Base, IDX and OJK RI. The population in this study is companies listed on the Indonesia Stock Exchange in the moving year from 2011 to 2017 and the sample was selected by companies that indicated financial statement fraud and those that did not indicate financial statement fraud. The company indicated by Fraud was collected from Bapepam and OJK RI. Data were tested using logistic regression analysis and different T-tests of 28 committed fraud companies and 28 companies that did not commit fraud. The results showed that only some variables had a significant effect on financial statement fraud, namely financial stability (ACHANGE), Financial Target (ROA), and the Nature of Industry (ARCHANGE). The results also show that company size and industry risk do not moderate the fraud factors on financial statement fraud. These results support the fraud triangle theory in explaining the phenomena of financial statement fraud.

The study aims to test investment inefficiency of fixed assets in mediating the relationship between free cash flow and earnings management and to test the controlling shareholders in moderating the relationship between free cash flow and fixed assets investment inefficiency. The research problem proposed in this study is whether the use of free cash flow for the investment inefficiency of fixed assets is able to ultimately improve the managerial performance. This research investigates new empirical evidence related to management earnings practices caused by free cash flow fixed assets investment inefficiency. The study was conducted on all the manufacturing firms listed on the Indonesia stock exchange from 2010 to 2015. The data used are secondary data in the form of the firms' financial statements. Using purposive sampling, 314 units were analyzed from 69 manufacturing firms. The estimation of the path model was completed using Structural Equation Modeling (SEM) by WarpPLS program version 5.0. The results showed that free cash flow is positively related to earnings management. Fixed assets investment inefficiency is able to mediate the relationship between free cash flow and earnings management.

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