Digital Banking as a Catalyst for Sustainable Finance: Promoting ESG Principles in India
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
<p>A revolutionary opportunity to change and promote sustainable finance is presented by the financial sector by the swift ascent of digital banking in India. The emergence of a potential newbusiness ecosystem due to the rise in digital banking penetration in India and furthered by Environmental, Social, and Governance (ESG) principles is studied in this research work. The study also discusses how incorporating ESG concepts into business plans improves stakeholder trust, risk management, and financial performance, setting up businesses for long-term success. The research provides an indepth analysis of the adoption of ESG within Indian banking industry, the current status of sustainable finance and the novel measures to its evolution. There has been an increased emphasis of sustainable development in India and this study tries to highlight the challenges and recognize the opportunities for associated with the same. Digital banking can be used as a prime tool in aligning an economic growth along with environmental and social equity, striking the sweet spot that is imperative to navigate through the rough seas of sustainable development. Finally, the study concludes by giving its valuable analysis stating how digital banking and ESG principles are interconnected, and by studying some key issues. In the conclusion, this study contributes to the understanding of the ways in which technology interacts with sustainable financing and the economic and environmental goals of India.</p> <p>&nbsp;</p>
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 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