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Record W2076334241 · doi:10.1080/02255189.2012.660874

Rebalancing China's growth: some unsettled questions

2012· article· fr· W2076334241 on OpenAlexaffvenue
Paul Bowles

Bibliographic record

VenueCanadian Journal of Development Studies/Revue canadienne d études du développement · 2012
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsChinaEconomicsPolitical scienceWelfare economicsEconomyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

China's leadership has spoken for much of the past decade about the need to ‘rebalance’ the economy and put it onto a different growth path, with domestic consumption as a leading driver of growth. This paper analyses two questions in this regard. The first is how to best to characterise China's existing growth path. China is typically considered to be an export-led economy par excellence. However, the results of the growth accounting approach are reviewed which question this characterization. Second, if China wishes to shift growth paths then, on the basis of insights generated by post-Keynesian growth models, I conclude that a shift to a consumption-driven (wage-led) growth path may be much more problematic than is generally assumed. Résumé Durant la dernière décennie, les autorités chinoises n'ont cessé de communiquer sur la nécessité de rééquilibrer l'économie chinoise et de la mettre sur une différente trajectoire de développement, en faisant de la consommation domestique une des sources majeures de la croissance. Cet article en explore deux problématiques. D'abord, on s'interroge sur la meilleure façon de caractériser l'économie chinoise. En effet, alors que la Chine est communément perçue comme un pays exportateur, des études récentes démontrent le contraire. Ensuite, on explore les autres trajectoires de développement susceptibles d'être empruntées par la Chine. Il semble, sur la base des conclusions des modèles de croissance post-keynésiens, qu'un changement de trajectoire de croissance en Chine serait plus problématique que ce qui est généralement admis.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.230
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

Classification

machine, unvalidated

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

Study designNot applicable
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

Citations14
Published2012
Admission routes2
Has abstractyes

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