Ownership Structure and Efficiency of Banking Industry in China and Vietnam - A Political View
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
Ownership structure and the performance of banking industry have been long considered as a matter of debate. Despite of differences in perspective, both “development view” and “politics view” approve the desire of governments to control financial institutions through their ownership structure. This paper adopts the two-stage stochastic frontier analysis (SFA) to examine the relation between ownership structure and bank’s efficiency in two long historic communism countries – China and Vietnam with the consideration of some political factors. Our result consistently indicates that banks with foreign-controlled shareholders in both countries can increase their efficiency significantly. Additionally, we uncover an interesting phenomenon that is during the election years, state-owned banks in China and Vietnam outperform the others. These banks are also the most beneficiaries from the economic expansion. Finally, meta-frontier is utilized to compare the relative performance of banking industry in these two countries.
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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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