Sustainability and Green Financing: Perspectives of Undergraduate Accounting Students in Malaysia
Bibliographic record
Abstract
This conceptual paper examines the relationship between sustainability education and the perspectives of undergraduate accounting students in Malaysia regarding green financing. The study focuses on four key dimensions that shape student views: awareness of sustainable development, perceived importance of sustainable development, understanding of green financing's role in sustainability, and evaluation of accounting curriculum adequacy. Against Malaysia's backdrop as a regional leader in green Islamic finance through innovations like the world's first sovereign green sukuk, the paper explores how these educational factors influence future accounting professionals' orientations toward sustainability.The conceptual analysis identifies critical connections between classroom learning and professional preparedness in sustainable finance. The study highlights essential alignment opportunities by mapping current accounting education approaches against Malaysia's progressive sustainability policies and financial sector developments. The paper provides a structured examination of how curriculum design and content delivery might better equip students with relevant sustainability competencies.This work contributes to ongoing discussions about modernizing accounting education to address evolving industry demands, particularly in emerging economies that are making significant strides in sustainable finance. The conceptual framework offers educators and policymakers a systematic way to evaluate and enhance sustainability integration in accounting programs. The analysis concludes by identifying promising directions for future research and curriculum development in this vital area of professional education.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".