Struggle for fair oil royalties in Sabah: the dynamics of federal-state government relations in Malaysia 2003-2018
Bibliographic record
Abstract
This study investigates the dynamics of federal-state relations in Malaysia, specifically focusing on Sabah’s efforts to secure increased oil royalties from 2003 to 2018, particularly during the tenure of Chief Minister Musa Aman. Despite the political alignment between the federal government and the Barisan Nasional led state government of Sabah, attempts to raise the oil royalty rate from five percent to 20 percent were ultimately unsuccessful. Employing a qualitative methodology, this research incorporates interviews, official documents, and legislative records, and augments these findings with quantitative data regarding oil production, revenue trends, and socioeconomic indicators. This comprehensive approach assesses the broader implications of the royalty dispute on Sabah’s development. The findings reveal that factors such as federal dominance, institutional constraints, and historical agreements continue to restrict Sabah’s fiscal autonomy. Notably, despite being the largest oil-producing state in Malaysia, Sabah remains the poorest state, underscoring the disconnection between resource generation and regional development. By contextualizing Sabah’s experience within both global and national frameworks, and drawing comparative insights from other oil-producing federal states, including Nigeria, Canada, and Brazil, this study emphasizes how centralized control over oil revenues, coupled with political and constitutional inflexibility, can hinder equitable development. The article advocates for more inclusive federal-state negotiations and encourages a reevaluation of resource sharing mechanisms within Malaysia’s federal system.
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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 | 0.000 |
| 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".