Interest Rate Liberalization and Commercial Banks Profitability: Evidence from China
Bibliographic record
Abstract
Enhanced profitability is an important guarantee to improve the well-being of people and better exert the functions of commercial banks in promoting economic, social and production growth on the premise of the existence and development of commercial banks. Interest rate liberalization is one of the key factors which can affect the profitability of commercial banks. An empirical study is thus carried out on 16 Commercial banks (from 2007 to 2018) to analyze the impact of interest rate liberalization on the profitability of commercial banks. We draw main conclusions from this study: (1) the progress of interest rate liberalization has improved the profitability of banks. (2) This kind of impact is inverted U-shaped, that is, with the advancement of interest rate liberalization, the impact will be reversed in the future. (3) For banks of different sizes, the impact is different. Specifically, small and medium-sized banks are more sensitive to the liberalization of interest rates, while for larger banks, the impact is not strong.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".