International trade and income convergence: Sorting out the nature of bilateral trade
Bibliographic record
Abstract
Abstract The paper argues that the dynamics of trade induced income convergence depend on the nature of bilateral trade between nations. To justify this argument, the paper presents a comprehensive approach that explicitly accounts for trade among OECD countries ( north–north trade ), trade between OECD and SSA countries ( north–south trade ) and trade among SSA countries ( south–south trade ). The approach also allows for the identification of the direct and indirect effects of bilateral trade on income convergence. The results show that bilateral trade among OECD countries accelerates income convergence both directly and indirectly. This result appears to be consistent with the new trade theories by Krugman, Journal of International Economics , 1979, 9 , 469–479; Krugman, American Economic Review , 1980, 70 , 950–959. and the intuitions of Heckscher, The effect of foreign trade on the distribution of income 1919 , 1950, 1–32 and Ohlin, Interregional and international trade , 1933. The trade‐convergence relationship for OECD to SSA trade is the strongest both directly and indirectly. This is the empirical evidence that the nature of this bilateral trade, promotes one directional knowledge spillover from developed to developing countries, which enables developing countries to adopt new technologies and grow faster than their rich counterparts. However, bilateral trade among SSA countries does not have any significant effect on income convergence.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".