The role of internet in efficiency of Indonesian primary energy export
Bibliographic record
Abstract
The Internet is widely recognized as an important technology to accelerate export performance. In the case of energy trade, the issue of export efficiency must be achieved for every exporter country, including Indonesia. The essential input factor to achieve maximum efficiency of trade is to utilize the internet as a technological factor. Therefore, the objective of this study is to examine the impact of the internet on the efficiency of primary energy exports in Indonesia. The study employed the Stochastic Frontier Gravity Model (SFGM) to analyze data from 26 destination countries spanning the period from 2011 to 2020. The result reveals that the condition of internet technology from importers, proxied by fixed broadband subscriptions and secure internet servers has a significant effect on Indonesian export energy performance. Furthermore, the addition of internet technology enhances the Indonesian primary energy export efficiency by comparing the efficiency before and after involvement of the internet. Therefore, the condition of internet technology from importer countries must be considered to maintain the export performance of Indonesia's primary energy to the global market.
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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 | 0.002 | 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 | 0.001 |
| Open science | 0.004 | 0.001 |
| 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".