Implementasi Investasi Hijau dan Strategi daya Saing Hijau Terhadap Green Banking di Kota Surakarta
Bibliographic record
Abstract
The implementation of green banking principle is reflected in a series of initiatives for the community program, community development and business programs, and encourages investment in more responsible businesses as a form of Bank's high concern for the environment. This study aims to analyze Green Investment, and Green Competitive Strategies that have an impact on the implementation of Green Banking in Surakarta City. This research was a survey conducted on bank customer in Surakarta City. The sample in this study was 75 respondents. Data collection methods use in this study were questionnaire and observation. The analysis technique used includes the test of the research instrument, namely the validity and reliability test; classic assumption test include: heteroscedasticity, autocorrelation, normality and multicollinearity test. Hypothesis test is done by using multiple linear regression analysis, t test, F test and analysis of the coefficient of determination (R2). The results of this study indicate that green investment and green competitive strategies have an impact on the implementation of green banking in Surakarta City. The variable that has the greatest impact is Green Competitive Strategies.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".