Competitiveness and determinants of Indonesia's natural rubber exports in main partner countries
Why this work is in the frame
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Bibliographic record
Abstract
The main destination countries play an important role in Indonesia's natural rubber exports, as most of Indonesia's natural rubber is exported to these countries. The purpose of this study was to examine the comparative advantage and determinants of Indonesia's natural rubber exports to major partner countries. The RCA (Revealed Comparative Advantage) index is used to assess the comparative advantage, and panel data regression analysis is used to analyze the determinants of exports to the main partner countries (USA, China, Japan, India, Republic of Korea, Brazil, Canada, Germany, Belgium and Turkey). The results of this study indicate that Indonesian natural rubber has a comparative advantage in the main partner countries, which are characterized by RCA index >1. In addition, it was determined that based on panel data regression, the increase in the world price of natural rubber and export restriction policies have led to a decline in natural rubber exports from Indonesia. It is found that the population of Indonesia reduces exports, while the population of partner countries increases exports due to population growth, which will increase the consumption of natural rubber. On the other hand, the increase in Indonesia's gross domestic product (GDP) will lead to an increase in natural rubber production capacity, which will contribute to an increase in exports. It is found that the previous year's demand was also taken into account by partner countries that import Indonesian natural rubber. The results of this study can be useful for the Indonesian government and stakeholders (such as natural rubber producers and exporters) to identify strategies to improve export performance
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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 | 0.001 |
| 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 it