Efficient Structure Versus Market Power:Theories and Empirical Evidence
Bibliographic record
Abstract
In this paper, we investigate the market structure-performance relationship within the Tunisian banking system during the period 1990-2005. We attempt to distinguish between two theories, namely the Efficient Structure Theory and Market Power Theory. Using the Data Envelopment Analysis Method, we estimate efficiency measures under X-efficiency, Technical Efficiency, Scale Efficiency and Allocative Efficiency. By incorporating into our analyses these forms of efficiency, this study allowed us to test the validity of new hypotheses. The empirical investigation is conducted on profit and price regressions for a sample of 10 commercial banks. The results reject the SCP and Quite life hypotheses under the market power theory but retain the RMP hypotheses. Also, all the hypotheses under Efficient Structure theory are rejected. This result suggests that Tunisian banks do not exert a monopole power entailing the exploitation of customers, yet they are able to extend their market share and generate profits thanks to a diversification of products.
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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 | 0.007 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".