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Does Strategies of Industrial Development Cause Spatial Convergence: Evidences from Changsanjiao, Zhusanjiao and Huanbohai of China

2012· article· en· W1883068998 on OpenAlex
Yang Sun

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian social science · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economic and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsChinaGeographyConvergence (economics)Panel dataPer capitaEconomyEconomic geographyPolitical scienceHumanitiesWelfare economicsEconomicsEconomic growthSociologyEconometricsDemography

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.056
GPT teacher head0.237
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it