Bibliographic record
Abstract
This paper examines the determinants of firm investment decision. Our study analysed four countries: Moldova, Romania, Russia and Serbia. The sample contains 170 firms for each country for a period of 8 years from 2003 to 2010. Using the data panels method, the empirical results indicate that profitability positively and significantly influences the firm investments for the markets of Moldova and Romania under two alternatives, and for the other countries under one specification. However, the positive effect of cash holdings is only observed for the firms of Moldova and Serbia. Furthermore, the higher the size of the firms of all countries is, the more the managers are encouraged to invest more. Finally, the sensitivity analysis of our models on activity sectors, shows differences in the factors explaining the investment decision for the market of Moldova. Indeed, profitability significantly and positively explains firm investment for the service and real estate sectors. This result is found for other countries for two sectors. In contrast, for country Russia, an increase in the profitability for mining and agriculture firms, does not stimulate managers to invest more.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".