The Impact of Sustainable Certification on Financial and Market Performance: Evidence from Indonesian Palm Oil Companies
Bibliographic record
Abstract
The palm oil industry is a strategic sector that plays an important role for national economics. Although the palm oil industry's role and contribution are high, land clearing and operation are often associated with environmental and social issues. The sustainable certification was then developed to ensure that palm oil companies can continue to operate without involving environmental and social deprivation. The previous research related to the impact of a sustainable certification found several positive and negative impacts on palm oil companies' performance in general. Therefore, this study aimed to determine the impact of sustainable certification on Indonesia's palm oil companies' financial and market performance. This research focused on 14 palm oil companies in Indonesia that went public with an observation year between 2014 and 2019. Analysis through panel regression found that sustainable certification has no impact on Indonesia's palm oil companies' financial and market performance. The study could be a recommendation and justification for palm oil companies for consider to take a sustainable certification.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".