FDI outflows, exports and financial development
Bibliographic record
Abstract
Purpose The purpose of this paper is to argue that financial development, measured by private credit in the economy, affects exports in an inverted U-shaped manner. The authors use the new trade theory model and empirical data to analyze whether the financial system is the reason of global imbalance. Design/methodology/approach This paper builds a simple production model to connect financial development with a country’s export or outward foreign direct investment (ODI) decision. Using a panel data covering 108 countries for the period 1990-2011, the authors find strong evidence to show that when a country is at a lower financial development level, further advancements of its financial system will boost exports. Findings First, an inverted U-shaped relationship between exports, imports and financial development is found in the study of 108 countries over the period 1990-2011; second, ODI provides a substitute effect to exports for financially advanced countries. These findings have provided an alternative explanation to international trade imbalances and contribute constructively to the discussion regarding whether exports and financial development are positively related or not. Originality/value As a result, the findings shed some light on the issue of global current account imbalances between developing and developed countries from a new perspective.
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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 | 0.004 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".