Do Accounting and Audit Quality Affect World Bank Lending?
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
ABSTRACT We investigate the role of accounting and audit quality in the allocation of international development aid loans provided by the World Bank. This aid is crucial to improve governance functions, infrastructure, and capital markets, and the accounting and audit environments in a country can provide the World Bank with confidence that aid is being used as intended rather than being diverted for personal or political gain. We find that development aid loans are higher for countries with stronger accounting quality, where IFRS use is mandated, and where the audit environment is stronger. However, we also find that United States geo-political interests influence these results. Specifically, the World Bank appears to “overlook” accounting and audit quality in countries where geo-political interests are relatively aligned with those of the U.S. Finally, we find that accounting and auditing matter only in countries with relatively high corruption levels, indicating that the World Bank has greater trust that accounting and auditing are of relatively high quality in low-corruption countries. Data Availability: All data are publicly available.
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.
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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it