Assessment of national policy to promote corporate governance in Nepal
Bibliographic record
Abstract
Background: Corporate governance, or good governance may have a direct impact not only on economic health of an organization, but also the overall status of national governance or systems administration. By now, Nepal has succeeded to attain political stability and attainment of policy stability is in its making. It is right time for all type of organizations to institute favorable traditions, customs, policies, rules and regulations with increased level of accountability to help the nation with right policy direction. Therefore, reviewing the Nepalese corporate governance scenario by assessing governing policies, prevailing issues, challenges and practices deem necessary. Objectives: The main purpose of this paper was to establish an assessment of national policy effectiveness on corporate governance, specifically in the banking sector. Methods: Fully based on desk review performed in a qualitative setting of inquiry. Results: There is closer linkage between legal and regulatory provisions and effectiveness of corporate governance in the Nepalese banking sector. Conclusions: For an emerging economies, improving the level of corporate governance can serve a number of important public policy objectives such as reducing market vulnerability to financial crises, controlling transaction costs and cost of capital, and resulting with investor confidence and capital market development situation. Implications: Nepal needs timely review and updates in not only policies governing bank and financial institutions, but also the entire company’s act of the country to make all type of organizations accountable and transparent in their operations to win the investor confidence and market trust.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".