Reciprocity Between Productivity and Credit Growth in Vietnam’s Co-operatives Credit Institutions
Bibliographic record
Abstract
Co-operative credit institutions (CCIs) play an important role for achieving the national mission of financial inclusion. Therefore, we should be taking a wider view of productivity and credit and assessing productivity and credit growth. These are factors affecting the CCIs' operations and goals. This study used the panel data regression method with research data from thirty-two selected CCIs in Vietnam from 2013 to 2018. This study’s purpose to discover the reciprocity relationship productivity and credit growth in Vietnam's CCIs. By assessing the factors affecting the productivity and credit growth, the research results have determined the bidirectional interactions and causal relationships between productivity and credit growth. Based on the findings the study offers policy implication and new insights for developing a more sustainable CCIs and further emphasizes optimal policies to CCIs management that helps the policy-makers, CCIs managers and executives in improving the overall productivity, and the credit growth of CCIs going forward.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".