Application of accrual accounting in Iran municipalities
Bibliographic record
Abstract
Accrual accounting is a technique for recognizing expenses when incurred and revenue when earned rather than when payment is made or received. In the cash method of accounting, on the other hand, cash receipts and disbursements technique of accounting or cash accounting records revenue when cash is earned, and expenses when they are paid in cash. In this paper, we present an empirical investigation to study the effect of implementing accrual accounting in municipality of Amol, Iran. The survey investigates whether or not financial reporting based on accrual accounting compared with a cash basis could provide a better method for promoting accountability. Using, regression analysis, the study compares the performance of accrual accounting versus cash accounting and the results have indicated that accrual accounting could improve the performance of accounting in municipality system. In addition, the study has examined whether or not converting cash to accrual accounting basis in municipalities could improve qualitative characteristics of accounting information. To examine this hypothesis, the study has designed a questionnaire in Likert scale to measure the quality of information and, using some statistical tests, the survey has concluded accrual accounting indeed provided better quality characteristics information.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.001 |
| 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 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".