Productivity and Firms’ Sales Destination: <scp>C</scp>hinese Characteristics
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
Abstract In the trade literature, it is often assumed that there is little or no trade cost within a country's borders, but large trade costs across a country's borders. Thus, productive firms self‐select into exporters and the less productive firms can only serve domestic consumers. This paper presents a similar but different case in C hina, whose domestic markets are segmented by provincial borders mainly owing to the various (hidden) protective measures favoring local firms. These discriminative measures are de facto trade barriers. It applies the heterogeneous trade theory to examine the effects of firms’ productivity on their sales choices in both the international and domestic markets, in the presence of intra‐national and international trade costs. We find that productive firms not only self‐select into exporters, but also into sales in other provincial markets. This pattern is sensitive to firms’ locations and ownerships. For foreign direct investment ( FDI )‐controlled firms, increases in productivity are associated with a higher probability of selling into other provincial markets, rather than into international ones. Productivity increases for firms operating in the inland area exhibit different patterns than those in the Eastern area.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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