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Record W4389078246 · doi:10.1371/journal.pone.0294467

Market integration and economic growth

2023· article· en· W4389078246 on OpenAlexaff
Shiqi Lyu, Z. Chen, Lianhua Liu

Bibliographic record

VenuePLoS ONE · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economics and Spatial Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsEconomic geographyLeverage (statistics)Economies of agglomerationUrban agglomerationEconomic integrationProtectionismBusinessCluster (spacecraft)Market integrationBusiness clusterInternational tradeEconomicsEconomic growthMechanism (biology)

Abstract

fetched live from OpenAlex

This study empirically examines the interplay between market integration and economic growth across nine cities within the Pearl River Delta urban agglomeration. The findings indicate that the city cluster's market integration negatively impacts regional economic development and has a negligible effect on the surrounding areas. In response, the research recommends the elimination of market trade barriers and a reduction in local protectionism within the city cluster. Additionally, infrastructure enhancement is essential to leverage the distinct comparative advantages of each city within the Pearl River Delta urban agglomeration. An efficient collaboration mechanism is crucial to amplify the collective economic potency of the region.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.051
GPT teacher head0.191
Teacher spread0.140 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2023
Admission routes1
Has abstractyes

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