Present Position of China’s Local Industrial Clusters(LICs) in the Global Value Chain(GVC): Apparel and Textile industry Case Study
Bibliographic record
Abstract
In the globalization era, cost competitiveness alone will not be sufficient to guarantee further success. The China’s LICs faced a serious challenge between the top-down (global) and bottom-up (local) governance pressures. In order to remain competitive, there is a need for LICs to upgrade their activities and move up along GVC, and shall constantly pursue enhancement and optimization of value chain and developing their capabilities. To help overcome the constraints on LICs, the need to develop new and more effective governance strategies and policies are high priority. This paper also shows how LICs can break out of the “lock-in” which results form working for a small powerful GVC’s governors. It recognizes the GVC governance variance and opening up new opportunities for LIC. Key words: Local Industrial Clusters (LICs), Global Value Chain (GVC), Governance Resume: A l’epoque de globalisation, la competitivite du prix seul ne suffit pas pour garantir le succes futur. Les GIL de Chine font face a un double defi serieux des pressions de gouvernance globale et locale. Afin de maintenir la competitivite, il est necessaire pour les GIL d’ameliorer leurs activites et de s’avancer dans la CVG. Ils devraient poursuivre constamment le renforcement et l’optimisation de la chaine de valeur et developper leurs capacites. Pour vaincre les contraintes, le developpement de plus de nouvelles strategies de gouvernance est devenu la premiere priorite. L’article montre aussi comment les GIL peuvent se debarrasser de l’isolation qui resultant du fait qu’ils travaillent pour les gouverneurs d’une petite CVG puissante. Il reconnait la difference de gouvernance de la CVG et la creation de nouvelles opportunites pour les GIL. Mots-Cles: Groupes industriels locaux GIL), Chaine de valeur globale(CVG), gouvernance
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".