PERAN TATA KELOLA PERUSAHAAN DALAM MEMODERASI PENGARUH IMPLEMANTASI GREEN ACCOUNTING, CORPORATE SOCIAL RESPONSIBILITY DAN FIRM SIZE TERHADAP KINERJA KEUANGAN
Bibliographic record
Abstract
This study examines the role of corporate governance in moderating the influence of green accounting disclosure, corporate social responsibility (CSR), and firm size on the financial performance of mining companies. Green accounting is not just a trend but a necessity in today's business and public sector. By implementing this concept, organizations can achieve a balance between economic growth, social responsibility, and environmental protection to create long-term sustainability.Green accounting enables organizations to be more transparent in reporting the environmental impact of their business or operational activities. Its implementation can affect financial performance in various ways, both directly and indirectly. Applying green accounting encourages efficiency in resource utilization and waste management, which can reduce operational costs and ultimately impact financial performance. The sample size in this study consists of 36 mining companies. Data was collected through audited financial reports published over three years. Data analysis was conducted using Moderated Regression Analysis (MRA) with the assistance of SPSS.The results of this study indicate that firm size, CSR, and company size have a significant effect on financial performance. The test results also show that corporate governance can be weaken the implementation of green accounting, CSR, and firm size in relation to financial performance. REFERENCES Aghnitama, R. D., Aufa, A. R., & Hersugondo. (2021). Market Capitalization dan Profitabilitas Perusahaan dengan FAR, AGE, EPS, dan PBV sebagai Variabel Kontrol. Jurnal Akuntansi Dan Manajemen, 18(2), 1–11. https://doi.org/https://doi.org/10.36406/jamv18i02.392 Alberta, V. (2018). Pengaruh Corporate Social Responsibility terhadap Kinerja Keuangan dengan Variabel Moderasi Corporate Governance pada Perbankan Syariah di Indonesia. Universitas Diponegoro. Alfawaz, R., & Fathah, R. N. (2022). 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Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".