Environmental Law for Sustainable Palm Oil Development to Combat Deforestation and Climate Change Impact
Bibliographic record
Abstract
Purpose: The aim of this study is to examie how environmental law to mitigate the impact of climate change caused by deforestation in Indonesia due to the high demand for palm oil. Theoretical framework: Theoretical framework incorporate principles from international agreements such as the Paris Agreement and the United Nations Framework Convention on Climate Change (UNFCCC), aligned with environmental law with Indonesia's national policies and strategies, such as the National Action Plan for Greenhouse Gas Reduction and Indonesia Sustainable Palm Oil (ISPO). Design/methodology/approach: The research method used a qualitative approach with data collected through library research. Various sources, including articles, journals, books, reports, and documents, were utilized to gather comprehensive and reliable information on the Indonesian palm oil problem and its environmental and societal impact. Findings: The result of the study concluded that addressing deforestation and the environmental impact of palm oil production requires several measures. These include reducing global demand for palm oil, promoting sustainable palm oil production, and adopting best practices in the palm oil industry. Implementing environmentally friendly approaches, protecting critical conservation areas, respecting the rights of local communities, and reducing greenhouse gas emissions are essential steps to mitigate the issue Research, Practical & Social implications: The study outline the role of engage all stakeholders, including producers, companies, governments, civil society, and global consumers, in these efforts. Striking a balance between economic interests and environmental concerns is vital. By promoting sustainable agricultural practices, negative impacts on the environment and society can be minimized, and progress can be made towards achieving climate change mitigation and sustainable development goals. Originality/value: The value of the study lies in its holistic approach to addressing multiple interconnected issues. It not only focuses on environmental conservation but also considers the socioeconomic aspects of small-scale farmers in Indonesia. This integrated perspective is vital for finding sustainable solutions that benefit both the environment and local communities.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".