Global value chain participation, trade cost and benefits of timber industry
Bibliographic record
Abstract
The purpose of this paper is to explore the effect of global value chain participation (GVCP) on the gains from trade and trade costs of the timber industry and reveal the underlying influence mechanism. The GVCP Index, Novy (2011) method, and WWZ Value Added Decomposition method have been used to measure the degree of GVCP, trade costs, and gains from trade of the timber industry, respectively. The results show that the export gains from trade of the timber industry featured inter-annual sustainability. Further, GVCP has an insignificant impact, suggesting that the industry’s degree of GVCP is limited. While the current trade cost and policy barriers to forest product trade harm it. And the cost of export trade has a strong lag effect on gains from trade. The increase of current trade costs reduces the short-term benefits; however, in the long run, the trade costs and benefits show a synchronous growth trend. To maintain and enhance its competitiveness, therefore, the industry will have to change the GVCP degree and mode of the timber industry, reduce short-term trade costs, and improve the quality and legitimacy certification level of timber products.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".