Does Strategies of Industrial Development Cause Spatial Convergence: Evidences from Changsanjiao, Zhusanjiao and Huanbohai of China
Bibliographic record
Abstract
Three topics, “the convergence of the economic growth”, “the influences of regional industrial development strategies to the economic development”, and “spatial effects in regional growth” are studied in the empirical analysis. Spatial panel data model and the nonnested tests of spatial structure are first used in the studies of China cities’ spatial structures. Empirical results show there are β-convergences in “Changsanjiao” and “Huanbohai” districts during 1990-1998 and the adjustments of the regional industrial development strategies adapting to the regional endowments play important parts in the economic growth. Meanwhile, the growths of the cities in the three districts have signifi cant spatial effects that cities with similar per capita GDP levels promote each other in their growth processes. Key words : Spatial convergence; Strategies of regional industrial development; Spatial effects Resume Il y a trois themes, qui sont ‘‘la convergence de la croissance economique’’, ‘‘les influences de strategies regionales en matiere de developpement industriel au developpement economique’’, et ‘‘Les effets spatiaux de la croissance regionale’’ sont etudies dans l’analyse empirique. Les donnees de la Spatiale en modele de panel modele et les tests non emboites de la structure spatiale sont d’abord utilisees dans les etudes de structures spatiales de la Chine des villes. Les resultats empiriques montrent qu’il ya des convergences dans ‘‘La Zone triangulaire’’ et la zone de ‘‘Huanbohai’’ au cours de 1990-1998 et les ajustements des strategies regionales de developpement industriel a s'adapter a des dotations regionales jouent des roles importants dans la croissance economique. Pendant ce temps, les croissances des villes dans les trois districts ont d'importants effets spatiaux que les villes avec des niveaux similaires par PIB par habitant de promouvoir les uns des autres dans leurs processus de croissance. Mots cles : Convergence spatiale; Strategies de developpement industriel regional; Effets spatiaux
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".