Investigating the Relationship Between Country Competitiveness and Financial Market Development in Times of Crisis
Bibliographic record
Abstract
A country’s competitiveness depends on many factors related to general governance, effectiveness of markets, social development, and business perspectives. The role of financial markets for economic growth has been the subject of many scientific studies; most of them concluded that a well-developed financial system should improve the efficiency of financing decisions, favouring a better allocation of resources and thereby economic growth. The financial crisis that started in the summer of 2007 is still testing the strength of the global economic system. It started in the financial sector, but is now having an important impact on the real economy. The aim of this paper is to investigate the relationship between a country’s financial market development and its competitiveness in particular in times of crisis, with the use of a series of econometric models. We find evidence that financial market development is affected (with the anticipated sign of impact) by the Global Competitiveness Index, the GDP per capita and the (un)employment level of a country. It is also related (with an unexpected direction of impact) with the foreign market size and exports, as well as infrastructure. Our findings can be used by the policymakers of countries which wish to improve their competitiveness so as to steer the determining variables in the desired directions and approach their desired competitiveness levels.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".