Pengaruh Sanitary And Phytosanitary (SPS) Dan Technical Barriers To Trade (TBT) Terhadap Ekspor Udang Indonesia Tahun 2004-2018
Bibliographic record
Abstract
Penelitian ini bertujuan untuk menganalisis pengaruh kebijakan Non-Tariff Measures (NTM) khususnya kebijakan Sanitary and Phytosanitary (SPS) dan Technical Barriers to Trade (TBT) pada ekspor udang Indonesia. Tujuan utama ekspor udang Indonesia adalah China, Amerika Serikat, Jepang, Malaysia, Hongkong, Vietnam, Singapura, Belgia, Italia, dan Canada. Penelitian ini menggunakan periode waktu 2004-2018 dan metode heckman Two Stage Gravity Model digunakan dalam model fixed effect untuk menganalisis dampak penerapan NTM pada perdagangan internsional udang Indonesia khususnya dalam kebijakan SPS dan TBT. Hasil estimasi memperlihatkan bahwa SPS dan TBT berpengaruh positif terhadap perdagangan udang Indonesia di pasar internasional. Ini artinya dalam konteks komoditas udang, Indonesia mampu menyesuaikan pada kebijakan yang diterapkan beberapa negara importir khususnya SPS dan TBT sehingga berdampak positif pada ekspor udang Indonesia.
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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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".