Bibliographic record
Abstract
Private sector participation and performance in the Ethiopian economy is weak. This is due to insufficient access of financial resources to the private sector. The credit market in the country has been overwhelmingly dominated by state-owned banks whose lending efforts have been dedicated to expanding public infrastructure projects and state owned enterprises as a matter of policy. The current government reform initiative by the name ‘Home-grown Economic Reform’ is expected to bring some adjustments in the financial system so that the private sector can have better choice for its long term investment needs with the introduction of market-based financial access. This study employed desk review of secondary data with content analysis of appropriate conceptual and empirical literature. Analysis of establishing stock market as a major alternative to bank based system is conducted using two models: business growth life cycle model and the financial structure model. The models are thought to explain the potential contribution of the development of equity market as a complement to the credit market in the financial structure of the country given the early stage of growth of the economy. The findings shown that establishing and developing stock market is strongly recommended to complement bank services and as an alternative financial access system both to investors and entrepreneurs. Issues to be considered in the process of establishing a stock market are provided as a way forward.
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.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".