The Determinant of Sustainable Certification Adoption in Indonesia Palm Oil Industry
Bibliographic record
Abstract
The palm oil industry operational causes several debate, especially in environmental and social problems. Roundtable on Sustainable Palm Oil (RSPO) is presented as the institution that oversees sustainable development through the sustainable certification issued. The motivation of the adoption recently from the public pressure for palm oil companies to adopted this certification. However, this pressure is only the external factor to driven the sustainable development in palm oil companies. The internal factor from palm oil industry have not observed as the adoption of sustainable certification. Therefore, the purpose of this study is to examine the factors that affected the adoption of sustainable certification in oil palm companies by using binary logistic regression. We examined 14 financial reports of the Indonesia palm oil companies that go-public from 2014 until 2019. The results show that Return on Assets (ROA), Current Ratio, Firm Size, and Oil Extraction Rate (OER) not affect the adoption of RSPO. However, the Return on Equity (ROE), Debt to Equity Ratio (DER), and Export significantly influence the RSPO adoption by Indonesian palm oil companies. The internal factor, specifically in financial aspects be the main driver for adopting the sustainable certification. Therefore, the promotion of sustainable certification must lead on the growth of finance performance to maintain this adoption. The limitation of this research is only focused to listed palm oil companies in Indonesia.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".