The role of investor recognition mediates the effect of sustainability reporting quality on firm value
Bibliographic record
Abstract
The objective of this research is to examine the impact of sustainability reporting quality on firm value through investor recognition. This quantitative study investigates the relationship between sustainability reporting quality and firm value, focusing on non-financial sector companies listed on the Indonesia Stock Exchange (IDX) between 2017 and 2020. The sample size for this study was 320. The analysis employed a multivariate approach using a structural equation model (SEM) based on Partial Least Squares (PLS). The research findings demonstrate that the quality of sustainability reporting can increase firm value because investors view the quality of reporting as reflecting sustainable practices that have been implemented properly. Furthermore, the study confirms that sustainability reporting quality positively influences investor recognition. This research contributes empirically by highlighting the mediating role of investor recognition in the relationship between sustainability reporting quality and firm value. This study provides evidence that investor recognition of sustainability reporting quality contributes to an enhancement in firm value from an agency theory and signaling theory perspective.
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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 | 0.022 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".