The Evalution to the Comprehensive Competitiveness of Industry Clusters and its Industrial Upgrading: an investigation to the non-weaven cluster in Pengchang town of Xiantao city in Hubei province
Bibliographic record
Abstract
Almost all industry clusters where the competitive advantage is the low cost of labor and natural resources are facing the problem of clusters’ upgrading and path controlling in the global value chain. In this paper, a non-woven cluster in Pengchang town of Xiantao city in Hubei province was chosen to be a key research target. The problems in this cluster can reflect the common characteristics of the labor-intensive clusters in China. After evaluating the mature degree and potential threatens of Pengchang cluster, a viewpoint of re-establishing competitive advantage, as well as the thinking way of making industry policies from the view of supplying generic technology was put forward. Keywords: industry clusters, generic technology, cooperative innovation Resume Les groupes industriels de notre pays, developpes grâce aux avantages de la main-d’oeuvre et des ressources naturelles, confrontent tous les probleme de la progression dans la chaine de valeur industrielle mondiale et de l’augmentation de la force de controle. L’auteur a choisi le groupe industriel de la toile non-tissee de Pengchang comme objet d’etude, parce que ses probleme apparus dans son developpement sont representatifs dans notre pays. Apres avoir evalue son niveau de developpement et les dangers latents, l’auteur propose de remettre en valeur ses avandages. De plus il avance, sous l’angle de l’alimentation de la techique generale du groupe, l’idee d’elaborer des politiques correspondantes. Mots-cles : groupe industriel, technique generale, cooperation et innovation 摘 要 中國利用勞動力和自然資源優勢而發展起來的產業集群都面臨在全球產業價值鏈中的升級和集群路徑控制力的提升問題。本文選擇了湖北仙桃市彭場鎮無紡布產業集群作為重點研究對象，這個產業集群發展中的問題在中國具有一定的代表性。在對此產業集群的發展成熟度和潛在威脅進行評估的基礎上，提出了重塑其競爭優勢的觀點，並從集群共性技術供應這個角度提出了制定相應產業政策的思路。 關鍵詞：產業集群；共性技術；合作創新
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".