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Record W2164591023 · doi:10.1111/cwe.12104

Industrial Structural Change and Economic Growth in China, 1987–2008

2015· article· en· W2164591023 on OpenAlexaff
Jianmin Tang

Bibliographic record

VenueChina & World Economy · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsInnovation, Science and Economic Development Canada
Fundersnot available
KeywordsStructural changeEconomicsChinaTertiary sector of the economyProductivityReal gross domestic productConsumption (sociology)Manufacturing sectorChinese economyManufacturingInternational economicsMacroeconomicsEconomyBusiness

Abstract

fetched live from OpenAlex

Abstract The present paper studies the sources of economic growth and the nature of structural change in the Chinese economy from 1987 to 2008. Using a methodology that evaluates the contribution of an industry to economic growth, the present paper shows that the post‐2000 subperiod marked an increased reliance on the services sector as a source of growth in the Chinese economy. Much of the acceleration in real GDP or aggregate labor productivity growth in China in the post‐2000 subperiod compared to the pre‐2000 period can be traced to an increased contribution from service‐producing and high‐technology exporting manufacturing industries. The evidence indicates that the Chinese economy has been rebalancing toward domestic consumption and shifting its export sector toward high‐technology manufacturing industries.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.066
GPT teacher head0.219
Teacher spread0.153 · 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 designObservational
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

Citations20
Published2015
Admission routes1
Has abstractyes

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