Profit sharing, industrial upgrading, and global supply chains: Theory and evidence
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 This research constructs a simple model to illustrate the global supply‐chain (GSC) profit sharing and industrial upgrading mechanism, finding that the average profitability distribution in the different supply‐chain stages is determined by three main conditions: (1) the average product of the labor in the firms at each production stage; (2) the production complexity level of each production stage in the chain; and (3) the ratio of the output elasticity of capital to the output elasticity of labor in each stage. This study also proposes a new industrial upgrading mechanism, the “smile‐curve‐driven supply‐chain upgrading,” for supply‐chain firms. Increases in production complexity and level of factor intensity in each production stage are found to be the two essential conditions for the smile‐curve‐driven supply‐chain upgrading. Our static and dynamic panel empirical models, including robustness checks, are both broadly consistent with the theoretical predictions of this paper.
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 | 0.002 | 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 | 0.000 | 0.001 |
| 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