Empirical Examination of Green Industry Strategy through ISO-14001 on Firm Value: Mediating Roles of Profitability and Leverage
Bibliographic record
Abstract
The research aims to analyze the effect of green industry strategy on firm value by leverage and profitability as a moderating variable.Green strategies are widely seen as being able to direct industries and corporations to increase productivity and competitiveness.In addition, this strategy can help the industry promote economic value.In this study, an empirical examination of the green strategy is assessed from the implementation of ISO-14001 as an important consideration in interpreting green practice in industry.Specifically, the variables used to measure it are using eco-efficiency proxies as independent variables with a dummy with ISO-14001, the dependent variable of firm value with Tobin-Q, and using moderating variables of leverage and profitability with Return on Assets (ROA).Using the purposive sampling method on 74 companies and 222 samples listed on the Jakarta Composite Index (JCI) in 2016-2018, the research results underline the important role of eco-efficiency in promoting firm value.This shows that the implementation and proactiveness of management in the green industry through ISO-14001 is an important consideration for investors and stakeholders and ensures the sustainability of the company in the long term.Practically, recommendations need to be made regarding the role of corporations and sectoral industries in dealing with issues of sustainability, environmental pollution, environmental degradation, and deforestation.This paper proposes an empirical innovation in examining how the adoption of environmental standards by companies can be useful for increasing manufacturing company profitability.This study has limitations on the object of research which only examines the manufacturing industry.Therefore, further studies are expected to investigate the role ISO-14001 in other industries with high environmental risks.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".