Analysis the Influence of Non-Cash Payment to Output (Case Study: Selected ASEAN Countries)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study aims to analyze the effect of non-cash payments to output, and the case study is in 3 selected ASEAN countries such as Indonesia, Malaysia and Vietnam. This study will analyze how the effect of non-cash payments consisting of credit card transactions and electronic money transactions on output in Indonesia, Malaysia and Vietnam. The data analysis technique used in this research is a quantitative method with panel data by using Stata 14.2 version software program. The data used are credit card transactions, electronic money transactions and GDP per capita for the 1st to 4th quarter of 2018-2021 period in the 3 selected ASEAN countries. Based on the results of this study, credit card transactions have a negative effect on GDP per capita in Indonesia, Malaysia and Vietnam and electronic money transactions have a positive effect on GDP per capita in Indonesia, Malaysia and Vietnam. \n \nKeywords: Credit Card, Electronic Money, GDP per capita
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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