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This study investigates the relationship between Environmental, Social, and Governance (ESG) performance and corporate financial distress, with board gender diversity examined as a moderating variable. Using 96 firm-year observations from manufacturing companies listed on the Indonesia Stock Exchange (2022–2024), the analysis employs variance-based Structural Equation Modelling (SEM). The findings reveal that ESG performance does not exert a statistically significant effect on financial distress, and gender diversity does not moderate this relationship. These non-significant results constitute the central empirical contribution of the study, highlighting that ESG engagement and gender diversity have yet to translate into financial resilience in the Indonesian manufacturing context. The study underscores the importance of contextual factors—such as implementation costs, authenticity of ESG disclosures, and limited female representation on boards—in shaping the effectiveness of sustainability practices. The results provide theoretical implications for Stakeholder and Agency Theory and offer practical insights for managers, regulators, and investors in emerging markets.

This study aims to examine the effect of Environmental, Social, and Governance (ESG) disclosure, Return on Assets (ROA), and Enterprise Resource Planning (ERP) on tax avoidance in energy sector companies listed on the Indonesia Stock Exchange during the 2021–2024 period. This research employs a quantitative approach using secondary data obtained from annual reports and sustainability reports. The sample was selected using a purposive sampling technique, resulting in 112 observations. Multiple linear regression analysis was conducted using Stata 16 software. The empirical results indicate that ESG, ROA, and ERP simultaneously have no significant effect on tax avoidance. Partially, each independent variable also shows no significant influence. These findings suggest that ESG implementation and ERP adoption have not directly affected corporate tax behavior, while profitability is not a primary determinant of tax avoidance in the energy sector. This study contributes to the existing literature by incorporating ERP as a novel variable in tax avoidance research, providing additional insight into the role of integrated information systems in corporate taxation practices.

The purpose of this research is to analyze the relationship between financial performance, green accounting, and capital structure. The research covered 72 food and drink producers that were listed on the BEI in the years 2019–2022. Twenty businesses were chosen through a purposeful sampling process. Multiple linear regression analysis of secondary data is performed in SPSS 26. According to research, green accounting helps companies improve their financial performance by financing large environmental costs. Financial performance is impacted by capital structure, which in turn increases profits and debt levels. Revenue growth, however, has no bearing on bottom-line results

This study aims to determine the role of gender diversity in moderating the performance of the social environment, and governance on financial risk. This research approach is quantitative by using secondary data. ESG data and financial risks will be obtained from the annual reports of companies listed on the Indonesia Stock Exchange (IDX) during a certain period, for example 2018–2023. This study uses a moderated regression analysis (MRA) approach to examine the influence of gender diversity moderation on the relationship between ESG performance. This study reveals that gender diversity has a significant moderating influence on the relationship between Environmental, Social, and Governance (ESG) performance and corporate financial risk.

The Effect of Environmental Costs and Environmental Performance on Profitability in Manufacturing Companies Listed on the Indonesia Stock Exchange The purpose of This study is to examine and analyze the effect of (i) environmental costs on profitability, and (ii) environmental performance on profitability in manufacturing companies listed on the Indonesia Stock Exchange in the 2019-2020 period. Data collection uses secondary data obtained from the annual report published by the Indonesia Stock Exchange. The population in this study are manufacturing companies listed on the Indonesia Stock Exchange and participating in PROPER in the 2019-2020 period. The sampling technique used was purposive sampling. The data analysis method is in the form of quantitative analysis using multiple linear analysis and hypothesis testing using software E