Determinants of profitability: evidence from construction companies listed on Vietnam Securities Market
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
The profitability of businesses is influenced by many different factors such as financial structure, financial leverage, size and age of enterprises, business characteristics, etc. Therefore, the determination of the factors influencing on the trend of the profitability of enterprises is an essential and important basis for managers to provide useful solutions to improve performance measurement. This study was conducted based on data collected from 73 listed construction companies in Vietnam for the period 2008-2015 with 584 observations and using quantitative methods in combination with the FEM regression model through Hausman test with the help of Stata software 14.0. The research results show that: (1) The age of the company (AGE) and debt ratio (TD) negatively affect the profitability (2) Growth rate (GROW) and asset utilization performance (TURN) have positive impacts on profitability (3) Company size (SIZE) has a positive impact on profitability, and (4) The proportion of fixed assets in total assets (TANG) maintains an opposite effect on profitability although the effect is not clear. Based on the research results, the authors have provided a number of specific recommendations and solutions to improve the profitability of the construction companies listed on the Vietnam Stock Exchange.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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