Cash Holdings Determinants: The Case of Malaysian Local Authorities
Bibliographic record
Abstract
This paper investigates the determinants of cash holdings by Malaysian local authorities. The researchers seek understanding on the motivation/intention behind the pattern of cash holdings and the theory that may be able to explain why the local authorities hold such amount of cash. Extensive research affirms that organizations in the private sector possess reasons to maintain cash, encompassing transactional, precautionary, and speculative objectives. The pecking order theory, trade-off theory, and free cash flow theory are also significant frameworks that explain why individuals, businesses, and institutions hold cash. However, there has been limited investigation into the factors influencing cash holdings in the public sector, particularly among local authorities in Malaysia. Therefore, relationship between the local authorities’ size, growth opportunities, financing deficits, liquidity, leverage, capital expenditure and access to credit market and cash holdings in Malaysian local authorities is examined. The sample in this study is 37 districts in Malaysia and data is collected from financial statements of the studied districts between 2015 and 2019. Thus, the total observations in this study are 185 districts-years.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".