Income inequality and trade of ‘Made in China’
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper presents a theory and empirical evidence on how destination countries’ income inequality affects the export price and volume of Chinese products. We provide a simple model to illustrate exporters’ market dynamics and product-quality specialization induced by the change in the destination country's income distribution. Under the nonhomothetic preference assumption, the model predicts that higher income inequality makes Chinese exporters who produce low-quality products concentrate on serving low-income consumers, which accounts for a large proportion of the population. Exploiting highly disaggregated customs transaction records of Chinese exporters, we provide empirical evidence consistent with the model predictions: (i) A rise in income inequality leads to a lower export price, (ii) induces entry of new exporters, and (iii) leads to higher export value and export price dispersion.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it