Does Privatisation Meet the Expectations in Developing Countries? A Survey and Some Evidence from Africa
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
Although privatisation has turned into a worldwide phenomenon, it is only recently that developing countries have launched extensive privatisation programmes. This paper surveys the empirical literature on the operating and financial performance of newly privatised firms in developing countries. The major studies in the field suggest that privatisation improves the operating performance of former state-owned enterprises. However, performance improvements seem to be less marked for firms in less developed countries. The paper also provides new evidence for a subset of firms privatised exclusively in African countries. The preliminary results for a sample of 16 privatised firms in Africa suggest that privatisation resulted in profitability improvements, although not significantly. Efficiency as well as output measured by real sales decreased slightly but not significantly, while capital expenditures rose significantly in the post-privatisation period.
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 | 0.000 | 0.000 |
| 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 | 0.002 |
| Open science | 0.000 | 0.000 |
| 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