Demand Analysis of Indonesia’s Coconut Crude Oil in Germany
Bibliographic record
Abstract
Despite Indonesia being the world's largest coconut-producing country, the competitive position of coconut crude oil (CCO) is still weak in the international market. Indonesia should determine a potential market that plays a significant role in the coconut oil industry. The market share and elasticity of demand for Indonesian CCO in the primary market are controvertible in its policies. This study aimed to analyze the Indonesian competitive position in Germany -using the LA/AIDS model. Monthly time series data spanned values and quantities of CCO imported by Germany from 2004 to 2019. The main findings are that Indonesia had a strong market position. As a result of higher own-price elasticity, Indonesia is more sensitive to its price change. There is a weak competitive relationship between Indonesia and the Philippines since the cross-price elasticity is inelastic. Moreover, quantity demand for Indonesia will be higher due to the higher expenditure elasticity.
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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) | 0.002 | 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 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".