Bank Performance and Its Underlying Factors: A Study of Rural Banks in Indonesia
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 determines the effect of variables recommended by the central bank of Indonesia on the performance of rural banks (BPRs) which has the particularity that serve the needs of communities in rural areas, small and medium enterprises (SMEs) in the form of deposits (savings and time deposits) and credit. The analysis technique employed in this study is panel data regression using expenses ratio (BOPOs), capital adequacy ratios (CAR), nonperforming loans (NPLs), loan-to-deposit ratios (LDRs) as independent variables. Return on asset (ROA) and net interest margin ratio (NIM) are used as the proxies of BPRs performance. The data used are from 164 BPRs operating in Java island between 2009 and 2012 period (totaling 656 company years). The results showed that BOPOs and NPLs played crucial role in explaining the BPR performance in Indonesia. The findings in this study indicate that efficiency and prudence in management policies for banking industry in Indonesia becomes more important.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 it