Foreign Capital Flows as Factors of Economic Growth in Bulgaria, Czech Republic, Hungary and Poland
Bibliographic record
Abstract
While foreign investment is generally associated with economic growth, it can also pose significant risks to the economies of the recipient countries. An empirical study is carried out to test the causality between various forms of capital inflows and economic growth of four emerging market countries of Central and Eastern Europe: Bulgaria, the Czech Republic, Hungary and Poland. Using the vector autoregression framework it is found that prior to the crisis events in the world economy and euro area capital inflows, especially foreign direct investment, played significant role in boosting economic growth. However, afterwards there is no evidence of such impact and the reverse trend is observed: now economic growth is the factor driving capital inflows, again, mainly direct investments, to the countries. Also, as a result of the steady increase in value of the accumulated assets possessed by foreign investors in national economies negative effects of attracting foreign capital could be observed, which take the form of high volumes of repatriated profits, exceeding received investment and posing new threats for national economies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".