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Record W2388563663

Evolution Tendency of Chinese Cereals Trade and Its International Competitiveness

2014· article· en· W2388563663 on OpenAlexaboutno aff
Sun Zhi-l

Bibliographic record

VenueHuanan Nongye Daxue xuebao · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsChinaInternational tradeCommodityChinese marketBusinessInternational marketAgricultural economicsGeographyEconomics
DOInot available

Abstract

fetched live from OpenAlex

Based on the data from UN COMTRADE DATABASE and WTO DATABASE,this paper analyzes the evolution tendency of Chinese cereals trade and its international competitiveness from 1995 to2012.The result shows that,Chinese cereals trade is net export-oriented from 1995 to 2008,and net import-oriented from 2009 to 2012 and net imports of cereals continues to increase.In recent years,Chinese cereals trade has also been in a net importer status,and the import amount has been on the increase.The commodity structures of Chinese cereal import and export both show remarkable periodical variation;and in recent years,the main imported cereals are wheat,barley and maize,and the main exported cereals are maize and rice.Chinese major cereals import markets are USA,Australia,Canada,Thailand,Vietnam and France,and export markets are East Asian countries/regions,including North Korea,South Korea,Japan,China Hong Kong SAR,Indonesia and Malaysia.Chinese cereals once had international competitiveness before 2008,but thereafter no longer internationally competitive.Chinese wheat and barley have not had international comparativeness all along,while maize and rice once had international comparativeness,but no longer internationally competitive in recent years.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score0.750

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2014
Admission routes1
Has abstractyes

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