The Forest Policies of ASEAN and Montréal Process: Comparing Highly and Weakly Formalized Regional Regimes
Bibliographic record
Abstract
Forests are governed by a combination of sub-national and national as well as global and regional regimes. Comparing the institutional variation of regional regimes, including their degrees of formalization, is gaining attention of studies on regionalism in International Relations. This study attempts to analyse the ways in which the selected cases of the forest-related Association of Southeast Asian Nations (ASEAN) and forest-focused Montréal Process (MP) regional regimes may have synergetic overlaps or disparity in their institutional design and forest policy development. For this, we combined IR’s ‘rational institutional design’ theory and a policy analysis approach. Using a qualitative data approach, we analyzed key structure-related historical regime documents (e.g., charters) issued since the inception of both regimes, and their latest forest policy initiatives for the periods 2016–2025 (Strategic Plan of Action for ASEAN Cooperation on Forestry) and 2009–2015 (Conceptual Framework for the Montréal Process Strategic Action Plan) with all relevant policy documents since the adoption of current policies. Based on that, we pose the empirical questions of how both regimes illustrate governance structure (i.e., institutional design), and on the other hand how to explain regime forest policies coherently and consistently in terms of their high versus low degree of formality. The results show that institutional design is highly explanatory based on treaty and non-treaty regime formation as well as forest-related/focused regime formation with the synergistic sustainable forest management (SFM) issue that embraces deforestation and forest degradation, biodiversity, timber certification, and greenhouse gas emission. Additionally, the results suggest that the policy goals adopted by both regimes are coherent and consistent based on the full set of policy elements. Concerning the remedy for fragmented global forest governance arrangements, both regimes would be an example of practicing SFM-focused policies with the incorporation of forest-related policy elements into a larger governance assemblage dealing with issues such as biodiversity conservation or climate change mitigation.
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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 | 0.000 | 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".